From 73a0ec5916b8fc0fe1ed903a3f3922384a467b3d Mon Sep 17 00:00:00 2001
From: Aydin <108932477+Aydinhamedi@users.noreply.github.com>
Date: Sun, 24 Mar 2024 13:08:38 +0330
Subject: [PATCH] 	modified:   .idea/.name 	modified:  
 .idea/workspace.xml 	modified:   BETA_E_Model_T&T.ipynb 	deleted:   
 Utils/New_SGD.py 	modified:   Utils/Other.py 	modified:  
 Utils/README.md 	modified:   Utils/lr_find.py 	modified:  
 Utils/one_cycle.py 	deleted:    Utils/swap_ema_weights.py

---
 .idea/.name               |    2 +-
 .idea/workspace.xml       |   10 +-
 BETA_E_Model_T&T.ipynb    | 9659 +++++++++++++++++++------------------
 Utils/New_SGD.py          |  128 -
 Utils/Other.py            |    6 +-
 Utils/README.md           |    3 -
 Utils/lr_find.py          |   13 +-
 Utils/one_cycle.py        |    6 +-
 Utils/swap_ema_weights.py |  174 -
 9 files changed, 5103 insertions(+), 4898 deletions(-)
 delete mode 100644 Utils/New_SGD.py
 delete mode 100644 Utils/swap_ema_weights.py

diff --git a/.idea/.name b/.idea/.name
index e96ba93..93f5256 100644
--- a/.idea/.name
+++ b/.idea/.name
@@ -1 +1 @@
-GUI_main.py
\ No newline at end of file
+__init__.py
\ No newline at end of file
diff --git a/.idea/workspace.xml b/.idea/workspace.xml
index 562e9fc..bbda878 100644
--- a/.idea/workspace.xml
+++ b/.idea/workspace.xml
@@ -5,8 +5,14 @@
   </component>
   <component name="ChangeListManager">
     <list default="true" id="e7bb71b4-f9a5-4158-b99a-3702887460c7" name="Changes" comment="">
+      <change beforePath="$PROJECT_DIR$/.idea/.name" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/.name" afterDir="false" />
       <change beforePath="$PROJECT_DIR$/.idea/workspace.xml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/workspace.xml" afterDir="false" />
-      <change beforePath="$PROJECT_DIR$/Interface/GUI/Data/GUI_main.py" beforeDir="false" afterPath="$PROJECT_DIR$/Interface/GUI/Data/GUI_main.py" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/BETA_E_Model_T&amp;T.ipynb" beforeDir="false" afterPath="$PROJECT_DIR$/BETA_E_Model_T&amp;T.ipynb" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/Utils/New_SGD.py" beforeDir="false" />
+      <change beforePath="$PROJECT_DIR$/Utils/Other.py" beforeDir="false" afterPath="$PROJECT_DIR$/Utils/Other.py" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/Utils/lr_find.py" beforeDir="false" afterPath="$PROJECT_DIR$/Utils/lr_find.py" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/Utils/one_cycle.py" beforeDir="false" afterPath="$PROJECT_DIR$/Utils/one_cycle.py" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/Utils/swap_ema_weights.py" beforeDir="false" />
     </list>
     <option name="SHOW_DIALOG" value="false" />
     <option name="HIGHLIGHT_CONFLICTS" value="true" />
@@ -66,7 +72,7 @@
   <component name="SharedIndexes">
     <attachedChunks>
       <set>
-        <option value="bundled-python-sdk-50da183f06c8-2887949eec09-com.jetbrains.pycharm.pro.sharedIndexes.bundled-PY-233.13135.95" />
+        <option value="bundled-python-sdk-d68999036c7f-d3b881c8e49f-com.jetbrains.pycharm.community.sharedIndexes.bundled-PC-233.14475.56" />
       </set>
     </attachedChunks>
   </component>
diff --git a/BETA_E_Model_T&T.ipynb b/BETA_E_Model_T&T.ipynb
index eaace4b..73147bc 100644
--- a/BETA_E_Model_T&T.ipynb
+++ b/BETA_E_Model_T&T.ipynb
@@ -22,7 +22,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2023-12-28T02:27:44.939427800Z",
@@ -46,7 +46,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2023-12-28T02:27:47.128539500Z",
@@ -63,6 +63,8 @@
     "import time\n",
     "\n",
     "os.environ[\"TF_CPP_MIN_LOG_LEVEL\"] = \"2\"\n",
+    "os.environ[\"KERAS_BACKEND\"] = \"torch\"\n",
+    "\n",
     "if CPU_only:\n",
     "    os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"-1\"\n",
     "import cv2\n",
@@ -84,10 +86,10 @@
     "from keras.models import Model\n",
     "import matplotlib.pyplot as plt\n",
     "from keras.optimizers import *  # noqa: F403\n",
-    "from adabelief_tf import AdaBeliefOptimizer  # noqa: F401\n",
+    "# from adabelief_tf import AdaBeliefOptimizer  # noqa: F401\n",
     "\n",
     "# from tensorflow_addons.optimizers import Yogi\n",
-    "import keras.backend as K  # noqa: F401\n",
+    "import keras.src.legacy.backend as K  # noqa: F401\n",
     "from imblearn.over_sampling import SMOTE\n",
     "from keras.regularizers import l2\n",
     "from keras.models import load_model\n",
@@ -99,8 +101,9 @@
     "    Callback,\n",
     "    LearningRateScheduler,\n",
     "    ReduceLROnPlateau,\n",
+    "    SwapEMAWeights,\n",
     ")\n",
-    "from keras.preprocessing.image import ImageDataGenerator\n",
+    "from keras.src.legacy.preprocessing.image import ImageDataGenerator\n",
     "from keras.layers import (\n",
     "    Dense,\n",
     "    Dropout,\n",
@@ -134,7 +137,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {
     "notebookRunGroups": {
      "groupValue": "123"
@@ -169,7 +172,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2023-12-28T02:27:47.139048Z",
@@ -215,7 +218,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2023-12-28T02:27:48.287855100Z",
@@ -230,7 +233,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "<Policy \"float32\">\n"
+      "<FloatDTypePolicy \"float32\">\n"
      ]
     }
    ],
@@ -239,11 +242,11 @@
     "Use_mixed_float16 = False\n",
     "# Other\n",
     "if Use_mixed_float16:\n",
-    "    tf.keras.mixed_precision.set_global_policy(\"mixed_float16\")\n",
+    "    keras.mixed_precision.set_global_policy(\"mixed_float16\")\n",
     "else:\n",
-    "    tf.keras.mixed_precision.set_global_policy(\"float32\")\n",
+    "    keras.mixed_precision.set_global_policy(\"float32\")\n",
     "\n",
-    "print(tf.keras.mixed_precision.global_policy())"
+    "print(keras.mixed_precision.global_policy())"
    ]
   },
   {
@@ -255,7 +258,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2023-12-28T02:31:27.059139500Z",
@@ -265,17 +268,7 @@
      "groupValue": "12"
     }
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\u001b[0;33mUsing Def IDG...\u001b[0m\n",
-      "Found 23681 images belonging to 2 classes.\n",
-      "\u001b[0;33mLoading all images and labels into memory...\u001b[0m\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Z_SCORE_normalize\n",
     "def Z_SCORE_normalize(arr):\n",
@@ -610,7 +603,7 @@
     "        train_iterator = train_datagen.flow(x_train, y_train, batch_size=len(x_train))\n",
     "\n",
     "        # get augmented data\n",
-    "        x_train_augmented, y_train_augmented = train_iterator.next()\n",
+    "        x_train_augmented, y_train_augmented = train_iterator.__next__()\n",
     "        print(\">   ├───Applying adaptive histogram equalization...\")\n",
     "        print(f\">   ├───Adaptive histogram equalization clip limit = {round(ADB_clip_limit, 2)}\")\n",
     "        x_train_augmented = np.clip(x_train_augmented, 0, 255)\n",
@@ -732,7 +725,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2023-12-28T02:31:27.380088800Z",
@@ -775,7 +768,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {
     "notebookRunGroups": {
      "groupValue": "3"
@@ -926,7 +919,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2023-12-27T17:34:12.077394600Z",
@@ -936,2164 +929,7 @@
      "groupValue": ""
     }
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Creating the model...\n",
-      "Total layers in the base model:  806\n",
-      "Freezing 0 layers in the base model...\n",
-      "Percentage of the base model that is frozen: 0.00%\n",
-      "Total model layers:  814\n",
-      "Model: \"model_1\"\n",
-      "_____________________________________________________________________________________________________________\n",
-      " Layer (type)                   Output Shape         Param #     Connected to                     Trainable  \n",
-      "=============================================================================================================\n",
-      " input_2 (InputLayer)           [(None, 224, 224, 3  0           []                               Y          \n",
-      "                                )]                                                                           \n",
-      "                                                                                                             \n",
-      " stem_conv (Conv2D)             (None, 112, 112, 64  1728        ['input_2[0][0]']                Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " stem_bn (BatchNormalization)   (None, 112, 112, 64  256         ['stem_conv[0][0]']              Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " stem_activation (Activation)   (None, 112, 112, 64  0           ['stem_bn[0][0]']                Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block1a_dwconv (DepthwiseConv2  (None, 112, 112, 64  576        ['stem_activation[0][0]']        Y          \n",
-      " D)                             )                                                                            \n",
-      "                                                                                                             \n",
-      " block1a_bn (BatchNormalization  (None, 112, 112, 64  256        ['block1a_dwconv[0][0]']         Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block1a_activation (Activation  (None, 112, 112, 64  0          ['block1a_bn[0][0]']             Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block1a_se_squeeze (GlobalAver  (None, 64)          0           ['block1a_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block1a_se_reshape (Reshape)   (None, 1, 1, 64)     0           ['block1a_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block1a_se_reduce (Conv2D)     (None, 1, 1, 16)     1040        ['block1a_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block1a_se_expand (Conv2D)     (None, 1, 1, 64)     1088        ['block1a_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block1a_se_excite (Multiply)   (None, 112, 112, 64  0           ['block1a_activation[0][0]',     Y          \n",
-      "                                )                                 'block1a_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block1a_project_conv (Conv2D)  (None, 112, 112, 32  2048        ['block1a_se_excite[0][0]']      Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block1a_project_bn (BatchNorma  (None, 112, 112, 32  128        ['block1a_project_conv[0][0]']   Y          \n",
-      " lization)                      )                                                                            \n",
-      "                                                                                                             \n",
-      " block1b_dwconv (DepthwiseConv2  (None, 112, 112, 32  288        ['block1a_project_bn[0][0]']     Y          \n",
-      " D)                             )                                                                            \n",
-      "                                                                                                             \n",
-      " block1b_bn (BatchNormalization  (None, 112, 112, 32  128        ['block1b_dwconv[0][0]']         Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block1b_activation (Activation  (None, 112, 112, 32  0          ['block1b_bn[0][0]']             Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block1b_se_squeeze (GlobalAver  (None, 32)          0           ['block1b_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block1b_se_reshape (Reshape)   (None, 1, 1, 32)     0           ['block1b_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block1b_se_reduce (Conv2D)     (None, 1, 1, 8)      264         ['block1b_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block1b_se_expand (Conv2D)     (None, 1, 1, 32)     288         ['block1b_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block1b_se_excite (Multiply)   (None, 112, 112, 32  0           ['block1b_activation[0][0]',     Y          \n",
-      "                                )                                 'block1b_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block1b_project_conv (Conv2D)  (None, 112, 112, 32  1024        ['block1b_se_excite[0][0]']      Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block1b_project_bn (BatchNorma  (None, 112, 112, 32  128        ['block1b_project_conv[0][0]']   Y          \n",
-      " lization)                      )                                                                            \n",
-      "                                                                                                             \n",
-      " block1b_drop (FixedDropout)    (None, 112, 112, 32  0           ['block1b_project_bn[0][0]']     Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block1b_add (Add)              (None, 112, 112, 32  0           ['block1b_drop[0][0]',           Y          \n",
-      "                                )                                 'block1a_project_bn[0][0]']                \n",
-      "                                                                                                             \n",
-      " block1c_dwconv (DepthwiseConv2  (None, 112, 112, 32  288        ['block1b_add[0][0]']            Y          \n",
-      " D)                             )                                                                            \n",
-      "                                                                                                             \n",
-      " block1c_bn (BatchNormalization  (None, 112, 112, 32  128        ['block1c_dwconv[0][0]']         Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block1c_activation (Activation  (None, 112, 112, 32  0          ['block1c_bn[0][0]']             Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block1c_se_squeeze (GlobalAver  (None, 32)          0           ['block1c_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block1c_se_reshape (Reshape)   (None, 1, 1, 32)     0           ['block1c_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block1c_se_reduce (Conv2D)     (None, 1, 1, 8)      264         ['block1c_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block1c_se_expand (Conv2D)     (None, 1, 1, 32)     288         ['block1c_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block1c_se_excite (Multiply)   (None, 112, 112, 32  0           ['block1c_activation[0][0]',     Y          \n",
-      "                                )                                 'block1c_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block1c_project_conv (Conv2D)  (None, 112, 112, 32  1024        ['block1c_se_excite[0][0]']      Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block1c_project_bn (BatchNorma  (None, 112, 112, 32  128        ['block1c_project_conv[0][0]']   Y          \n",
-      " lization)                      )                                                                            \n",
-      "                                                                                                             \n",
-      " block1c_drop (FixedDropout)    (None, 112, 112, 32  0           ['block1c_project_bn[0][0]']     Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block1c_add (Add)              (None, 112, 112, 32  0           ['block1c_drop[0][0]',           Y          \n",
-      "                                )                                 'block1b_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block1d_dwconv (DepthwiseConv2  (None, 112, 112, 32  288        ['block1c_add[0][0]']            Y          \n",
-      " D)                             )                                                                            \n",
-      "                                                                                                             \n",
-      " block1d_bn (BatchNormalization  (None, 112, 112, 32  128        ['block1d_dwconv[0][0]']         Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block1d_activation (Activation  (None, 112, 112, 32  0          ['block1d_bn[0][0]']             Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block1d_se_squeeze (GlobalAver  (None, 32)          0           ['block1d_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block1d_se_reshape (Reshape)   (None, 1, 1, 32)     0           ['block1d_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block1d_se_reduce (Conv2D)     (None, 1, 1, 8)      264         ['block1d_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block1d_se_expand (Conv2D)     (None, 1, 1, 32)     288         ['block1d_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block1d_se_excite (Multiply)   (None, 112, 112, 32  0           ['block1d_activation[0][0]',     Y          \n",
-      "                                )                                 'block1d_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block1d_project_conv (Conv2D)  (None, 112, 112, 32  1024        ['block1d_se_excite[0][0]']      Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block1d_project_bn (BatchNorma  (None, 112, 112, 32  128        ['block1d_project_conv[0][0]']   Y          \n",
-      " lization)                      )                                                                            \n",
-      "                                                                                                             \n",
-      " block1d_drop (FixedDropout)    (None, 112, 112, 32  0           ['block1d_project_bn[0][0]']     Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block1d_add (Add)              (None, 112, 112, 32  0           ['block1d_drop[0][0]',           Y          \n",
-      "                                )                                 'block1c_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block2a_expand_conv (Conv2D)   (None, 112, 112, 19  6144        ['block1d_add[0][0]']            Y          \n",
-      "                                2)                                                                           \n",
-      "                                                                                                             \n",
-      " block2a_expand_bn (BatchNormal  (None, 112, 112, 19  768        ['block2a_expand_conv[0][0]']    Y          \n",
-      " ization)                       2)                                                                           \n",
-      "                                                                                                             \n",
-      " block2a_expand_activation (Act  (None, 112, 112, 19  0          ['block2a_expand_bn[0][0]']      Y          \n",
-      " ivation)                       2)                                                                           \n",
-      "                                                                                                             \n",
-      " block2a_dwconv (DepthwiseConv2  (None, 56, 56, 192)  1728       ['block2a_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block2a_bn (BatchNormalization  (None, 56, 56, 192)  768        ['block2a_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block2a_activation (Activation  (None, 56, 56, 192)  0          ['block2a_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block2a_se_squeeze (GlobalAver  (None, 192)         0           ['block2a_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block2a_se_reshape (Reshape)   (None, 1, 1, 192)    0           ['block2a_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2a_se_reduce (Conv2D)     (None, 1, 1, 8)      1544        ['block2a_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2a_se_expand (Conv2D)     (None, 1, 1, 192)    1728        ['block2a_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block2a_se_excite (Multiply)   (None, 56, 56, 192)  0           ['block2a_activation[0][0]',     Y          \n",
-      "                                                                  'block2a_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block2a_project_conv (Conv2D)  (None, 56, 56, 48)   9216        ['block2a_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block2a_project_bn (BatchNorma  (None, 56, 56, 48)  192         ['block2a_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block2b_expand_conv (Conv2D)   (None, 56, 56, 288)  13824       ['block2a_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2b_expand_bn (BatchNormal  (None, 56, 56, 288)  1152       ['block2b_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block2b_expand_activation (Act  (None, 56, 56, 288)  0          ['block2b_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block2b_dwconv (DepthwiseConv2  (None, 56, 56, 288)  2592       ['block2b_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block2b_bn (BatchNormalization  (None, 56, 56, 288)  1152       ['block2b_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block2b_activation (Activation  (None, 56, 56, 288)  0          ['block2b_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block2b_se_squeeze (GlobalAver  (None, 288)         0           ['block2b_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block2b_se_reshape (Reshape)   (None, 1, 1, 288)    0           ['block2b_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2b_se_reduce (Conv2D)     (None, 1, 1, 12)     3468        ['block2b_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2b_se_expand (Conv2D)     (None, 1, 1, 288)    3744        ['block2b_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block2b_se_excite (Multiply)   (None, 56, 56, 288)  0           ['block2b_activation[0][0]',     Y          \n",
-      "                                                                  'block2b_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block2b_project_conv (Conv2D)  (None, 56, 56, 48)   13824       ['block2b_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block2b_project_bn (BatchNorma  (None, 56, 56, 48)  192         ['block2b_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block2b_drop (FixedDropout)    (None, 56, 56, 48)   0           ['block2b_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2b_add (Add)              (None, 56, 56, 48)   0           ['block2b_drop[0][0]',           Y          \n",
-      "                                                                  'block2a_project_bn[0][0]']                \n",
-      "                                                                                                             \n",
-      " block2c_expand_conv (Conv2D)   (None, 56, 56, 288)  13824       ['block2b_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block2c_expand_bn (BatchNormal  (None, 56, 56, 288)  1152       ['block2c_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block2c_expand_activation (Act  (None, 56, 56, 288)  0          ['block2c_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block2c_dwconv (DepthwiseConv2  (None, 56, 56, 288)  2592       ['block2c_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block2c_bn (BatchNormalization  (None, 56, 56, 288)  1152       ['block2c_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block2c_activation (Activation  (None, 56, 56, 288)  0          ['block2c_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block2c_se_squeeze (GlobalAver  (None, 288)         0           ['block2c_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block2c_se_reshape (Reshape)   (None, 1, 1, 288)    0           ['block2c_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2c_se_reduce (Conv2D)     (None, 1, 1, 12)     3468        ['block2c_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2c_se_expand (Conv2D)     (None, 1, 1, 288)    3744        ['block2c_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block2c_se_excite (Multiply)   (None, 56, 56, 288)  0           ['block2c_activation[0][0]',     Y          \n",
-      "                                                                  'block2c_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block2c_project_conv (Conv2D)  (None, 56, 56, 48)   13824       ['block2c_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block2c_project_bn (BatchNorma  (None, 56, 56, 48)  192         ['block2c_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block2c_drop (FixedDropout)    (None, 56, 56, 48)   0           ['block2c_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2c_add (Add)              (None, 56, 56, 48)   0           ['block2c_drop[0][0]',           Y          \n",
-      "                                                                  'block2b_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block2d_expand_conv (Conv2D)   (None, 56, 56, 288)  13824       ['block2c_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block2d_expand_bn (BatchNormal  (None, 56, 56, 288)  1152       ['block2d_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block2d_expand_activation (Act  (None, 56, 56, 288)  0          ['block2d_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block2d_dwconv (DepthwiseConv2  (None, 56, 56, 288)  2592       ['block2d_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block2d_bn (BatchNormalization  (None, 56, 56, 288)  1152       ['block2d_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block2d_activation (Activation  (None, 56, 56, 288)  0          ['block2d_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block2d_se_squeeze (GlobalAver  (None, 288)         0           ['block2d_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block2d_se_reshape (Reshape)   (None, 1, 1, 288)    0           ['block2d_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2d_se_reduce (Conv2D)     (None, 1, 1, 12)     3468        ['block2d_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2d_se_expand (Conv2D)     (None, 1, 1, 288)    3744        ['block2d_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block2d_se_excite (Multiply)   (None, 56, 56, 288)  0           ['block2d_activation[0][0]',     Y          \n",
-      "                                                                  'block2d_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block2d_project_conv (Conv2D)  (None, 56, 56, 48)   13824       ['block2d_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block2d_project_bn (BatchNorma  (None, 56, 56, 48)  192         ['block2d_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block2d_drop (FixedDropout)    (None, 56, 56, 48)   0           ['block2d_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2d_add (Add)              (None, 56, 56, 48)   0           ['block2d_drop[0][0]',           Y          \n",
-      "                                                                  'block2c_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block2e_expand_conv (Conv2D)   (None, 56, 56, 288)  13824       ['block2d_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block2e_expand_bn (BatchNormal  (None, 56, 56, 288)  1152       ['block2e_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block2e_expand_activation (Act  (None, 56, 56, 288)  0          ['block2e_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block2e_dwconv (DepthwiseConv2  (None, 56, 56, 288)  2592       ['block2e_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block2e_bn (BatchNormalization  (None, 56, 56, 288)  1152       ['block2e_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block2e_activation (Activation  (None, 56, 56, 288)  0          ['block2e_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block2e_se_squeeze (GlobalAver  (None, 288)         0           ['block2e_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block2e_se_reshape (Reshape)   (None, 1, 1, 288)    0           ['block2e_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2e_se_reduce (Conv2D)     (None, 1, 1, 12)     3468        ['block2e_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2e_se_expand (Conv2D)     (None, 1, 1, 288)    3744        ['block2e_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block2e_se_excite (Multiply)   (None, 56, 56, 288)  0           ['block2e_activation[0][0]',     Y          \n",
-      "                                                                  'block2e_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block2e_project_conv (Conv2D)  (None, 56, 56, 48)   13824       ['block2e_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block2e_project_bn (BatchNorma  (None, 56, 56, 48)  192         ['block2e_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block2e_drop (FixedDropout)    (None, 56, 56, 48)   0           ['block2e_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2e_add (Add)              (None, 56, 56, 48)   0           ['block2e_drop[0][0]',           Y          \n",
-      "                                                                  'block2d_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block2f_expand_conv (Conv2D)   (None, 56, 56, 288)  13824       ['block2e_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block2f_expand_bn (BatchNormal  (None, 56, 56, 288)  1152       ['block2f_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block2f_expand_activation (Act  (None, 56, 56, 288)  0          ['block2f_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block2f_dwconv (DepthwiseConv2  (None, 56, 56, 288)  2592       ['block2f_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block2f_bn (BatchNormalization  (None, 56, 56, 288)  1152       ['block2f_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block2f_activation (Activation  (None, 56, 56, 288)  0          ['block2f_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block2f_se_squeeze (GlobalAver  (None, 288)         0           ['block2f_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block2f_se_reshape (Reshape)   (None, 1, 1, 288)    0           ['block2f_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2f_se_reduce (Conv2D)     (None, 1, 1, 12)     3468        ['block2f_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2f_se_expand (Conv2D)     (None, 1, 1, 288)    3744        ['block2f_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block2f_se_excite (Multiply)   (None, 56, 56, 288)  0           ['block2f_activation[0][0]',     Y          \n",
-      "                                                                  'block2f_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block2f_project_conv (Conv2D)  (None, 56, 56, 48)   13824       ['block2f_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block2f_project_bn (BatchNorma  (None, 56, 56, 48)  192         ['block2f_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block2f_drop (FixedDropout)    (None, 56, 56, 48)   0           ['block2f_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2f_add (Add)              (None, 56, 56, 48)   0           ['block2f_drop[0][0]',           Y          \n",
-      "                                                                  'block2e_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block2g_expand_conv (Conv2D)   (None, 56, 56, 288)  13824       ['block2f_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block2g_expand_bn (BatchNormal  (None, 56, 56, 288)  1152       ['block2g_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block2g_expand_activation (Act  (None, 56, 56, 288)  0          ['block2g_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block2g_dwconv (DepthwiseConv2  (None, 56, 56, 288)  2592       ['block2g_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block2g_bn (BatchNormalization  (None, 56, 56, 288)  1152       ['block2g_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block2g_activation (Activation  (None, 56, 56, 288)  0          ['block2g_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block2g_se_squeeze (GlobalAver  (None, 288)         0           ['block2g_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block2g_se_reshape (Reshape)   (None, 1, 1, 288)    0           ['block2g_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2g_se_reduce (Conv2D)     (None, 1, 1, 12)     3468        ['block2g_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2g_se_expand (Conv2D)     (None, 1, 1, 288)    3744        ['block2g_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block2g_se_excite (Multiply)   (None, 56, 56, 288)  0           ['block2g_activation[0][0]',     Y          \n",
-      "                                                                  'block2g_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block2g_project_conv (Conv2D)  (None, 56, 56, 48)   13824       ['block2g_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block2g_project_bn (BatchNorma  (None, 56, 56, 48)  192         ['block2g_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block2g_drop (FixedDropout)    (None, 56, 56, 48)   0           ['block2g_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2g_add (Add)              (None, 56, 56, 48)   0           ['block2g_drop[0][0]',           Y          \n",
-      "                                                                  'block2f_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block3a_expand_conv (Conv2D)   (None, 56, 56, 288)  13824       ['block2g_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block3a_expand_bn (BatchNormal  (None, 56, 56, 288)  1152       ['block3a_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block3a_expand_activation (Act  (None, 56, 56, 288)  0          ['block3a_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block3a_dwconv (DepthwiseConv2  (None, 28, 28, 288)  7200       ['block3a_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block3a_bn (BatchNormalization  (None, 28, 28, 288)  1152       ['block3a_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block3a_activation (Activation  (None, 28, 28, 288)  0          ['block3a_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block3a_se_squeeze (GlobalAver  (None, 288)         0           ['block3a_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block3a_se_reshape (Reshape)   (None, 1, 1, 288)    0           ['block3a_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3a_se_reduce (Conv2D)     (None, 1, 1, 12)     3468        ['block3a_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3a_se_expand (Conv2D)     (None, 1, 1, 288)    3744        ['block3a_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block3a_se_excite (Multiply)   (None, 28, 28, 288)  0           ['block3a_activation[0][0]',     Y          \n",
-      "                                                                  'block3a_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block3a_project_conv (Conv2D)  (None, 28, 28, 80)   23040       ['block3a_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block3a_project_bn (BatchNorma  (None, 28, 28, 80)  320         ['block3a_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block3b_expand_conv (Conv2D)   (None, 28, 28, 480)  38400       ['block3a_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3b_expand_bn (BatchNormal  (None, 28, 28, 480)  1920       ['block3b_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block3b_expand_activation (Act  (None, 28, 28, 480)  0          ['block3b_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block3b_dwconv (DepthwiseConv2  (None, 28, 28, 480)  12000      ['block3b_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block3b_bn (BatchNormalization  (None, 28, 28, 480)  1920       ['block3b_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block3b_activation (Activation  (None, 28, 28, 480)  0          ['block3b_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block3b_se_squeeze (GlobalAver  (None, 480)         0           ['block3b_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block3b_se_reshape (Reshape)   (None, 1, 1, 480)    0           ['block3b_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3b_se_reduce (Conv2D)     (None, 1, 1, 20)     9620        ['block3b_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3b_se_expand (Conv2D)     (None, 1, 1, 480)    10080       ['block3b_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block3b_se_excite (Multiply)   (None, 28, 28, 480)  0           ['block3b_activation[0][0]',     Y          \n",
-      "                                                                  'block3b_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block3b_project_conv (Conv2D)  (None, 28, 28, 80)   38400       ['block3b_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block3b_project_bn (BatchNorma  (None, 28, 28, 80)  320         ['block3b_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block3b_drop (FixedDropout)    (None, 28, 28, 80)   0           ['block3b_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3b_add (Add)              (None, 28, 28, 80)   0           ['block3b_drop[0][0]',           Y          \n",
-      "                                                                  'block3a_project_bn[0][0]']                \n",
-      "                                                                                                             \n",
-      " block3c_expand_conv (Conv2D)   (None, 28, 28, 480)  38400       ['block3b_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block3c_expand_bn (BatchNormal  (None, 28, 28, 480)  1920       ['block3c_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block3c_expand_activation (Act  (None, 28, 28, 480)  0          ['block3c_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block3c_dwconv (DepthwiseConv2  (None, 28, 28, 480)  12000      ['block3c_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block3c_bn (BatchNormalization  (None, 28, 28, 480)  1920       ['block3c_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block3c_activation (Activation  (None, 28, 28, 480)  0          ['block3c_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block3c_se_squeeze (GlobalAver  (None, 480)         0           ['block3c_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block3c_se_reshape (Reshape)   (None, 1, 1, 480)    0           ['block3c_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3c_se_reduce (Conv2D)     (None, 1, 1, 20)     9620        ['block3c_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3c_se_expand (Conv2D)     (None, 1, 1, 480)    10080       ['block3c_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block3c_se_excite (Multiply)   (None, 28, 28, 480)  0           ['block3c_activation[0][0]',     Y          \n",
-      "                                                                  'block3c_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block3c_project_conv (Conv2D)  (None, 28, 28, 80)   38400       ['block3c_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block3c_project_bn (BatchNorma  (None, 28, 28, 80)  320         ['block3c_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block3c_drop (FixedDropout)    (None, 28, 28, 80)   0           ['block3c_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3c_add (Add)              (None, 28, 28, 80)   0           ['block3c_drop[0][0]',           Y          \n",
-      "                                                                  'block3b_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block3d_expand_conv (Conv2D)   (None, 28, 28, 480)  38400       ['block3c_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block3d_expand_bn (BatchNormal  (None, 28, 28, 480)  1920       ['block3d_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block3d_expand_activation (Act  (None, 28, 28, 480)  0          ['block3d_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block3d_dwconv (DepthwiseConv2  (None, 28, 28, 480)  12000      ['block3d_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block3d_bn (BatchNormalization  (None, 28, 28, 480)  1920       ['block3d_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block3d_activation (Activation  (None, 28, 28, 480)  0          ['block3d_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block3d_se_squeeze (GlobalAver  (None, 480)         0           ['block3d_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block3d_se_reshape (Reshape)   (None, 1, 1, 480)    0           ['block3d_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3d_se_reduce (Conv2D)     (None, 1, 1, 20)     9620        ['block3d_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3d_se_expand (Conv2D)     (None, 1, 1, 480)    10080       ['block3d_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block3d_se_excite (Multiply)   (None, 28, 28, 480)  0           ['block3d_activation[0][0]',     Y          \n",
-      "                                                                  'block3d_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block3d_project_conv (Conv2D)  (None, 28, 28, 80)   38400       ['block3d_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block3d_project_bn (BatchNorma  (None, 28, 28, 80)  320         ['block3d_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block3d_drop (FixedDropout)    (None, 28, 28, 80)   0           ['block3d_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3d_add (Add)              (None, 28, 28, 80)   0           ['block3d_drop[0][0]',           Y          \n",
-      "                                                                  'block3c_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block3e_expand_conv (Conv2D)   (None, 28, 28, 480)  38400       ['block3d_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block3e_expand_bn (BatchNormal  (None, 28, 28, 480)  1920       ['block3e_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block3e_expand_activation (Act  (None, 28, 28, 480)  0          ['block3e_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block3e_dwconv (DepthwiseConv2  (None, 28, 28, 480)  12000      ['block3e_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block3e_bn (BatchNormalization  (None, 28, 28, 480)  1920       ['block3e_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block3e_activation (Activation  (None, 28, 28, 480)  0          ['block3e_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block3e_se_squeeze (GlobalAver  (None, 480)         0           ['block3e_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block3e_se_reshape (Reshape)   (None, 1, 1, 480)    0           ['block3e_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3e_se_reduce (Conv2D)     (None, 1, 1, 20)     9620        ['block3e_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3e_se_expand (Conv2D)     (None, 1, 1, 480)    10080       ['block3e_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block3e_se_excite (Multiply)   (None, 28, 28, 480)  0           ['block3e_activation[0][0]',     Y          \n",
-      "                                                                  'block3e_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block3e_project_conv (Conv2D)  (None, 28, 28, 80)   38400       ['block3e_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block3e_project_bn (BatchNorma  (None, 28, 28, 80)  320         ['block3e_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block3e_drop (FixedDropout)    (None, 28, 28, 80)   0           ['block3e_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3e_add (Add)              (None, 28, 28, 80)   0           ['block3e_drop[0][0]',           Y          \n",
-      "                                                                  'block3d_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block3f_expand_conv (Conv2D)   (None, 28, 28, 480)  38400       ['block3e_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block3f_expand_bn (BatchNormal  (None, 28, 28, 480)  1920       ['block3f_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block3f_expand_activation (Act  (None, 28, 28, 480)  0          ['block3f_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block3f_dwconv (DepthwiseConv2  (None, 28, 28, 480)  12000      ['block3f_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block3f_bn (BatchNormalization  (None, 28, 28, 480)  1920       ['block3f_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block3f_activation (Activation  (None, 28, 28, 480)  0          ['block3f_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block3f_se_squeeze (GlobalAver  (None, 480)         0           ['block3f_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block3f_se_reshape (Reshape)   (None, 1, 1, 480)    0           ['block3f_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3f_se_reduce (Conv2D)     (None, 1, 1, 20)     9620        ['block3f_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3f_se_expand (Conv2D)     (None, 1, 1, 480)    10080       ['block3f_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block3f_se_excite (Multiply)   (None, 28, 28, 480)  0           ['block3f_activation[0][0]',     Y          \n",
-      "                                                                  'block3f_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block3f_project_conv (Conv2D)  (None, 28, 28, 80)   38400       ['block3f_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block3f_project_bn (BatchNorma  (None, 28, 28, 80)  320         ['block3f_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block3f_drop (FixedDropout)    (None, 28, 28, 80)   0           ['block3f_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3f_add (Add)              (None, 28, 28, 80)   0           ['block3f_drop[0][0]',           Y          \n",
-      "                                                                  'block3e_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block3g_expand_conv (Conv2D)   (None, 28, 28, 480)  38400       ['block3f_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block3g_expand_bn (BatchNormal  (None, 28, 28, 480)  1920       ['block3g_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block3g_expand_activation (Act  (None, 28, 28, 480)  0          ['block3g_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block3g_dwconv (DepthwiseConv2  (None, 28, 28, 480)  12000      ['block3g_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block3g_bn (BatchNormalization  (None, 28, 28, 480)  1920       ['block3g_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block3g_activation (Activation  (None, 28, 28, 480)  0          ['block3g_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block3g_se_squeeze (GlobalAver  (None, 480)         0           ['block3g_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block3g_se_reshape (Reshape)   (None, 1, 1, 480)    0           ['block3g_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3g_se_reduce (Conv2D)     (None, 1, 1, 20)     9620        ['block3g_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3g_se_expand (Conv2D)     (None, 1, 1, 480)    10080       ['block3g_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block3g_se_excite (Multiply)   (None, 28, 28, 480)  0           ['block3g_activation[0][0]',     Y          \n",
-      "                                                                  'block3g_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block3g_project_conv (Conv2D)  (None, 28, 28, 80)   38400       ['block3g_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block3g_project_bn (BatchNorma  (None, 28, 28, 80)  320         ['block3g_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block3g_drop (FixedDropout)    (None, 28, 28, 80)   0           ['block3g_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3g_add (Add)              (None, 28, 28, 80)   0           ['block3g_drop[0][0]',           Y          \n",
-      "                                                                  'block3f_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block4a_expand_conv (Conv2D)   (None, 28, 28, 480)  38400       ['block3g_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block4a_expand_bn (BatchNormal  (None, 28, 28, 480)  1920       ['block4a_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4a_expand_activation (Act  (None, 28, 28, 480)  0          ['block4a_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4a_dwconv (DepthwiseConv2  (None, 14, 14, 480)  4320       ['block4a_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block4a_bn (BatchNormalization  (None, 14, 14, 480)  1920       ['block4a_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4a_activation (Activation  (None, 14, 14, 480)  0          ['block4a_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4a_se_squeeze (GlobalAver  (None, 480)         0           ['block4a_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block4a_se_reshape (Reshape)   (None, 1, 1, 480)    0           ['block4a_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4a_se_reduce (Conv2D)     (None, 1, 1, 20)     9620        ['block4a_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4a_se_expand (Conv2D)     (None, 1, 1, 480)    10080       ['block4a_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4a_se_excite (Multiply)   (None, 14, 14, 480)  0           ['block4a_activation[0][0]',     Y          \n",
-      "                                                                  'block4a_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block4a_project_conv (Conv2D)  (None, 14, 14, 160)  76800       ['block4a_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4a_project_bn (BatchNorma  (None, 14, 14, 160)  640        ['block4a_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block4b_expand_conv (Conv2D)   (None, 14, 14, 960)  153600      ['block4a_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4b_expand_bn (BatchNormal  (None, 14, 14, 960)  3840       ['block4b_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4b_expand_activation (Act  (None, 14, 14, 960)  0          ['block4b_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4b_dwconv (DepthwiseConv2  (None, 14, 14, 960)  8640       ['block4b_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block4b_bn (BatchNormalization  (None, 14, 14, 960)  3840       ['block4b_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4b_activation (Activation  (None, 14, 14, 960)  0          ['block4b_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4b_se_squeeze (GlobalAver  (None, 960)         0           ['block4b_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block4b_se_reshape (Reshape)   (None, 1, 1, 960)    0           ['block4b_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4b_se_reduce (Conv2D)     (None, 1, 1, 40)     38440       ['block4b_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4b_se_expand (Conv2D)     (None, 1, 1, 960)    39360       ['block4b_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4b_se_excite (Multiply)   (None, 14, 14, 960)  0           ['block4b_activation[0][0]',     Y          \n",
-      "                                                                  'block4b_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block4b_project_conv (Conv2D)  (None, 14, 14, 160)  153600      ['block4b_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4b_project_bn (BatchNorma  (None, 14, 14, 160)  640        ['block4b_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block4b_drop (FixedDropout)    (None, 14, 14, 160)  0           ['block4b_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4b_add (Add)              (None, 14, 14, 160)  0           ['block4b_drop[0][0]',           Y          \n",
-      "                                                                  'block4a_project_bn[0][0]']                \n",
-      "                                                                                                             \n",
-      " block4c_expand_conv (Conv2D)   (None, 14, 14, 960)  153600      ['block4b_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block4c_expand_bn (BatchNormal  (None, 14, 14, 960)  3840       ['block4c_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4c_expand_activation (Act  (None, 14, 14, 960)  0          ['block4c_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4c_dwconv (DepthwiseConv2  (None, 14, 14, 960)  8640       ['block4c_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block4c_bn (BatchNormalization  (None, 14, 14, 960)  3840       ['block4c_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4c_activation (Activation  (None, 14, 14, 960)  0          ['block4c_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4c_se_squeeze (GlobalAver  (None, 960)         0           ['block4c_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block4c_se_reshape (Reshape)   (None, 1, 1, 960)    0           ['block4c_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4c_se_reduce (Conv2D)     (None, 1, 1, 40)     38440       ['block4c_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4c_se_expand (Conv2D)     (None, 1, 1, 960)    39360       ['block4c_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4c_se_excite (Multiply)   (None, 14, 14, 960)  0           ['block4c_activation[0][0]',     Y          \n",
-      "                                                                  'block4c_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block4c_project_conv (Conv2D)  (None, 14, 14, 160)  153600      ['block4c_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4c_project_bn (BatchNorma  (None, 14, 14, 160)  640        ['block4c_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block4c_drop (FixedDropout)    (None, 14, 14, 160)  0           ['block4c_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4c_add (Add)              (None, 14, 14, 160)  0           ['block4c_drop[0][0]',           Y          \n",
-      "                                                                  'block4b_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block4d_expand_conv (Conv2D)   (None, 14, 14, 960)  153600      ['block4c_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block4d_expand_bn (BatchNormal  (None, 14, 14, 960)  3840       ['block4d_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4d_expand_activation (Act  (None, 14, 14, 960)  0          ['block4d_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4d_dwconv (DepthwiseConv2  (None, 14, 14, 960)  8640       ['block4d_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block4d_bn (BatchNormalization  (None, 14, 14, 960)  3840       ['block4d_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4d_activation (Activation  (None, 14, 14, 960)  0          ['block4d_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4d_se_squeeze (GlobalAver  (None, 960)         0           ['block4d_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block4d_se_reshape (Reshape)   (None, 1, 1, 960)    0           ['block4d_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4d_se_reduce (Conv2D)     (None, 1, 1, 40)     38440       ['block4d_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4d_se_expand (Conv2D)     (None, 1, 1, 960)    39360       ['block4d_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4d_se_excite (Multiply)   (None, 14, 14, 960)  0           ['block4d_activation[0][0]',     Y          \n",
-      "                                                                  'block4d_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block4d_project_conv (Conv2D)  (None, 14, 14, 160)  153600      ['block4d_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4d_project_bn (BatchNorma  (None, 14, 14, 160)  640        ['block4d_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block4d_drop (FixedDropout)    (None, 14, 14, 160)  0           ['block4d_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4d_add (Add)              (None, 14, 14, 160)  0           ['block4d_drop[0][0]',           Y          \n",
-      "                                                                  'block4c_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block4e_expand_conv (Conv2D)   (None, 14, 14, 960)  153600      ['block4d_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block4e_expand_bn (BatchNormal  (None, 14, 14, 960)  3840       ['block4e_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4e_expand_activation (Act  (None, 14, 14, 960)  0          ['block4e_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4e_dwconv (DepthwiseConv2  (None, 14, 14, 960)  8640       ['block4e_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block4e_bn (BatchNormalization  (None, 14, 14, 960)  3840       ['block4e_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4e_activation (Activation  (None, 14, 14, 960)  0          ['block4e_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4e_se_squeeze (GlobalAver  (None, 960)         0           ['block4e_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block4e_se_reshape (Reshape)   (None, 1, 1, 960)    0           ['block4e_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4e_se_reduce (Conv2D)     (None, 1, 1, 40)     38440       ['block4e_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4e_se_expand (Conv2D)     (None, 1, 1, 960)    39360       ['block4e_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4e_se_excite (Multiply)   (None, 14, 14, 960)  0           ['block4e_activation[0][0]',     Y          \n",
-      "                                                                  'block4e_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block4e_project_conv (Conv2D)  (None, 14, 14, 160)  153600      ['block4e_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4e_project_bn (BatchNorma  (None, 14, 14, 160)  640        ['block4e_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block4e_drop (FixedDropout)    (None, 14, 14, 160)  0           ['block4e_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4e_add (Add)              (None, 14, 14, 160)  0           ['block4e_drop[0][0]',           Y          \n",
-      "                                                                  'block4d_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block4f_expand_conv (Conv2D)   (None, 14, 14, 960)  153600      ['block4e_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block4f_expand_bn (BatchNormal  (None, 14, 14, 960)  3840       ['block4f_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4f_expand_activation (Act  (None, 14, 14, 960)  0          ['block4f_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4f_dwconv (DepthwiseConv2  (None, 14, 14, 960)  8640       ['block4f_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block4f_bn (BatchNormalization  (None, 14, 14, 960)  3840       ['block4f_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4f_activation (Activation  (None, 14, 14, 960)  0          ['block4f_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4f_se_squeeze (GlobalAver  (None, 960)         0           ['block4f_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block4f_se_reshape (Reshape)   (None, 1, 1, 960)    0           ['block4f_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4f_se_reduce (Conv2D)     (None, 1, 1, 40)     38440       ['block4f_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4f_se_expand (Conv2D)     (None, 1, 1, 960)    39360       ['block4f_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4f_se_excite (Multiply)   (None, 14, 14, 960)  0           ['block4f_activation[0][0]',     Y          \n",
-      "                                                                  'block4f_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block4f_project_conv (Conv2D)  (None, 14, 14, 160)  153600      ['block4f_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4f_project_bn (BatchNorma  (None, 14, 14, 160)  640        ['block4f_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block4f_drop (FixedDropout)    (None, 14, 14, 160)  0           ['block4f_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4f_add (Add)              (None, 14, 14, 160)  0           ['block4f_drop[0][0]',           Y          \n",
-      "                                                                  'block4e_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block4g_expand_conv (Conv2D)   (None, 14, 14, 960)  153600      ['block4f_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block4g_expand_bn (BatchNormal  (None, 14, 14, 960)  3840       ['block4g_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4g_expand_activation (Act  (None, 14, 14, 960)  0          ['block4g_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4g_dwconv (DepthwiseConv2  (None, 14, 14, 960)  8640       ['block4g_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block4g_bn (BatchNormalization  (None, 14, 14, 960)  3840       ['block4g_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4g_activation (Activation  (None, 14, 14, 960)  0          ['block4g_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4g_se_squeeze (GlobalAver  (None, 960)         0           ['block4g_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block4g_se_reshape (Reshape)   (None, 1, 1, 960)    0           ['block4g_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4g_se_reduce (Conv2D)     (None, 1, 1, 40)     38440       ['block4g_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4g_se_expand (Conv2D)     (None, 1, 1, 960)    39360       ['block4g_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4g_se_excite (Multiply)   (None, 14, 14, 960)  0           ['block4g_activation[0][0]',     Y          \n",
-      "                                                                  'block4g_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block4g_project_conv (Conv2D)  (None, 14, 14, 160)  153600      ['block4g_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4g_project_bn (BatchNorma  (None, 14, 14, 160)  640        ['block4g_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block4g_drop (FixedDropout)    (None, 14, 14, 160)  0           ['block4g_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4g_add (Add)              (None, 14, 14, 160)  0           ['block4g_drop[0][0]',           Y          \n",
-      "                                                                  'block4f_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block4h_expand_conv (Conv2D)   (None, 14, 14, 960)  153600      ['block4g_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block4h_expand_bn (BatchNormal  (None, 14, 14, 960)  3840       ['block4h_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4h_expand_activation (Act  (None, 14, 14, 960)  0          ['block4h_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4h_dwconv (DepthwiseConv2  (None, 14, 14, 960)  8640       ['block4h_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block4h_bn (BatchNormalization  (None, 14, 14, 960)  3840       ['block4h_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4h_activation (Activation  (None, 14, 14, 960)  0          ['block4h_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4h_se_squeeze (GlobalAver  (None, 960)         0           ['block4h_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block4h_se_reshape (Reshape)   (None, 1, 1, 960)    0           ['block4h_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4h_se_reduce (Conv2D)     (None, 1, 1, 40)     38440       ['block4h_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4h_se_expand (Conv2D)     (None, 1, 1, 960)    39360       ['block4h_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4h_se_excite (Multiply)   (None, 14, 14, 960)  0           ['block4h_activation[0][0]',     Y          \n",
-      "                                                                  'block4h_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block4h_project_conv (Conv2D)  (None, 14, 14, 160)  153600      ['block4h_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4h_project_bn (BatchNorma  (None, 14, 14, 160)  640        ['block4h_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block4h_drop (FixedDropout)    (None, 14, 14, 160)  0           ['block4h_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4h_add (Add)              (None, 14, 14, 160)  0           ['block4h_drop[0][0]',           Y          \n",
-      "                                                                  'block4g_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block4i_expand_conv (Conv2D)   (None, 14, 14, 960)  153600      ['block4h_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block4i_expand_bn (BatchNormal  (None, 14, 14, 960)  3840       ['block4i_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4i_expand_activation (Act  (None, 14, 14, 960)  0          ['block4i_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4i_dwconv (DepthwiseConv2  (None, 14, 14, 960)  8640       ['block4i_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block4i_bn (BatchNormalization  (None, 14, 14, 960)  3840       ['block4i_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4i_activation (Activation  (None, 14, 14, 960)  0          ['block4i_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4i_se_squeeze (GlobalAver  (None, 960)         0           ['block4i_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block4i_se_reshape (Reshape)   (None, 1, 1, 960)    0           ['block4i_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4i_se_reduce (Conv2D)     (None, 1, 1, 40)     38440       ['block4i_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4i_se_expand (Conv2D)     (None, 1, 1, 960)    39360       ['block4i_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4i_se_excite (Multiply)   (None, 14, 14, 960)  0           ['block4i_activation[0][0]',     Y          \n",
-      "                                                                  'block4i_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block4i_project_conv (Conv2D)  (None, 14, 14, 160)  153600      ['block4i_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4i_project_bn (BatchNorma  (None, 14, 14, 160)  640        ['block4i_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block4i_drop (FixedDropout)    (None, 14, 14, 160)  0           ['block4i_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4i_add (Add)              (None, 14, 14, 160)  0           ['block4i_drop[0][0]',           Y          \n",
-      "                                                                  'block4h_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block4j_expand_conv (Conv2D)   (None, 14, 14, 960)  153600      ['block4i_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block4j_expand_bn (BatchNormal  (None, 14, 14, 960)  3840       ['block4j_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4j_expand_activation (Act  (None, 14, 14, 960)  0          ['block4j_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4j_dwconv (DepthwiseConv2  (None, 14, 14, 960)  8640       ['block4j_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block4j_bn (BatchNormalization  (None, 14, 14, 960)  3840       ['block4j_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4j_activation (Activation  (None, 14, 14, 960)  0          ['block4j_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4j_se_squeeze (GlobalAver  (None, 960)         0           ['block4j_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block4j_se_reshape (Reshape)   (None, 1, 1, 960)    0           ['block4j_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4j_se_reduce (Conv2D)     (None, 1, 1, 40)     38440       ['block4j_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4j_se_expand (Conv2D)     (None, 1, 1, 960)    39360       ['block4j_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4j_se_excite (Multiply)   (None, 14, 14, 960)  0           ['block4j_activation[0][0]',     Y          \n",
-      "                                                                  'block4j_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block4j_project_conv (Conv2D)  (None, 14, 14, 160)  153600      ['block4j_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4j_project_bn (BatchNorma  (None, 14, 14, 160)  640        ['block4j_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block4j_drop (FixedDropout)    (None, 14, 14, 160)  0           ['block4j_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4j_add (Add)              (None, 14, 14, 160)  0           ['block4j_drop[0][0]',           Y          \n",
-      "                                                                  'block4i_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block5a_expand_conv (Conv2D)   (None, 14, 14, 960)  153600      ['block4j_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block5a_expand_bn (BatchNormal  (None, 14, 14, 960)  3840       ['block5a_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block5a_expand_activation (Act  (None, 14, 14, 960)  0          ['block5a_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block5a_dwconv (DepthwiseConv2  (None, 14, 14, 960)  24000      ['block5a_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block5a_bn (BatchNormalization  (None, 14, 14, 960)  3840       ['block5a_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block5a_activation (Activation  (None, 14, 14, 960)  0          ['block5a_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block5a_se_squeeze (GlobalAver  (None, 960)         0           ['block5a_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block5a_se_reshape (Reshape)   (None, 1, 1, 960)    0           ['block5a_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5a_se_reduce (Conv2D)     (None, 1, 1, 40)     38440       ['block5a_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5a_se_expand (Conv2D)     (None, 1, 1, 960)    39360       ['block5a_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5a_se_excite (Multiply)   (None, 14, 14, 960)  0           ['block5a_activation[0][0]',     Y          \n",
-      "                                                                  'block5a_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block5a_project_conv (Conv2D)  (None, 14, 14, 224)  215040      ['block5a_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5a_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5a_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block5b_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5a_project_bn[0][0]']     Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block5b_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5b_expand_conv[0][0]']    Y          \n",
-      " ization)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5b_expand_activation (Act  (None, 14, 14, 1344  0          ['block5b_expand_bn[0][0]']      Y          \n",
-      " ivation)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5b_dwconv (DepthwiseConv2  (None, 14, 14, 1344  33600      ['block5b_expand_activation[0][  Y          \n",
-      " D)                             )                                0]']                                        \n",
-      "                                                                                                             \n",
-      " block5b_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5b_dwconv[0][0]']         Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5b_activation (Activation  (None, 14, 14, 1344  0          ['block5b_bn[0][0]']             Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5b_se_squeeze (GlobalAver  (None, 1344)        0           ['block5b_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block5b_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5b_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5b_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5b_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5b_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5b_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5b_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5b_activation[0][0]',     Y          \n",
-      "                                )                                 'block5b_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block5b_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5b_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5b_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5b_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block5b_drop (FixedDropout)    (None, 14, 14, 224)  0           ['block5b_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5b_add (Add)              (None, 14, 14, 224)  0           ['block5b_drop[0][0]',           Y          \n",
-      "                                                                  'block5a_project_bn[0][0]']                \n",
-      "                                                                                                             \n",
-      " block5c_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5b_add[0][0]']            Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block5c_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5c_expand_conv[0][0]']    Y          \n",
-      " ization)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5c_expand_activation (Act  (None, 14, 14, 1344  0          ['block5c_expand_bn[0][0]']      Y          \n",
-      " ivation)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5c_dwconv (DepthwiseConv2  (None, 14, 14, 1344  33600      ['block5c_expand_activation[0][  Y          \n",
-      " D)                             )                                0]']                                        \n",
-      "                                                                                                             \n",
-      " block5c_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5c_dwconv[0][0]']         Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5c_activation (Activation  (None, 14, 14, 1344  0          ['block5c_bn[0][0]']             Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5c_se_squeeze (GlobalAver  (None, 1344)        0           ['block5c_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block5c_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5c_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5c_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5c_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5c_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5c_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5c_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5c_activation[0][0]',     Y          \n",
-      "                                )                                 'block5c_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block5c_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5c_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5c_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5c_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block5c_drop (FixedDropout)    (None, 14, 14, 224)  0           ['block5c_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5c_add (Add)              (None, 14, 14, 224)  0           ['block5c_drop[0][0]',           Y          \n",
-      "                                                                  'block5b_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block5d_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5c_add[0][0]']            Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block5d_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5d_expand_conv[0][0]']    Y          \n",
-      " ization)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5d_expand_activation (Act  (None, 14, 14, 1344  0          ['block5d_expand_bn[0][0]']      Y          \n",
-      " ivation)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5d_dwconv (DepthwiseConv2  (None, 14, 14, 1344  33600      ['block5d_expand_activation[0][  Y          \n",
-      " D)                             )                                0]']                                        \n",
-      "                                                                                                             \n",
-      " block5d_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5d_dwconv[0][0]']         Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5d_activation (Activation  (None, 14, 14, 1344  0          ['block5d_bn[0][0]']             Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5d_se_squeeze (GlobalAver  (None, 1344)        0           ['block5d_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block5d_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5d_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5d_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5d_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5d_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5d_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5d_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5d_activation[0][0]',     Y          \n",
-      "                                )                                 'block5d_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block5d_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5d_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5d_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5d_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block5d_drop (FixedDropout)    (None, 14, 14, 224)  0           ['block5d_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5d_add (Add)              (None, 14, 14, 224)  0           ['block5d_drop[0][0]',           Y          \n",
-      "                                                                  'block5c_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block5e_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5d_add[0][0]']            Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block5e_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5e_expand_conv[0][0]']    Y          \n",
-      " ization)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5e_expand_activation (Act  (None, 14, 14, 1344  0          ['block5e_expand_bn[0][0]']      Y          \n",
-      " ivation)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5e_dwconv (DepthwiseConv2  (None, 14, 14, 1344  33600      ['block5e_expand_activation[0][  Y          \n",
-      " D)                             )                                0]']                                        \n",
-      "                                                                                                             \n",
-      " block5e_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5e_dwconv[0][0]']         Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5e_activation (Activation  (None, 14, 14, 1344  0          ['block5e_bn[0][0]']             Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5e_se_squeeze (GlobalAver  (None, 1344)        0           ['block5e_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block5e_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5e_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5e_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5e_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5e_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5e_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5e_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5e_activation[0][0]',     Y          \n",
-      "                                )                                 'block5e_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block5e_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5e_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5e_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5e_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block5e_drop (FixedDropout)    (None, 14, 14, 224)  0           ['block5e_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5e_add (Add)              (None, 14, 14, 224)  0           ['block5e_drop[0][0]',           Y          \n",
-      "                                                                  'block5d_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block5f_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5e_add[0][0]']            Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block5f_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5f_expand_conv[0][0]']    Y          \n",
-      " ization)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5f_expand_activation (Act  (None, 14, 14, 1344  0          ['block5f_expand_bn[0][0]']      Y          \n",
-      " ivation)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5f_dwconv (DepthwiseConv2  (None, 14, 14, 1344  33600      ['block5f_expand_activation[0][  Y          \n",
-      " D)                             )                                0]']                                        \n",
-      "                                                                                                             \n",
-      " block5f_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5f_dwconv[0][0]']         Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5f_activation (Activation  (None, 14, 14, 1344  0          ['block5f_bn[0][0]']             Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5f_se_squeeze (GlobalAver  (None, 1344)        0           ['block5f_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block5f_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5f_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5f_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5f_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5f_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5f_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5f_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5f_activation[0][0]',     Y          \n",
-      "                                )                                 'block5f_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block5f_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5f_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5f_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5f_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block5f_drop (FixedDropout)    (None, 14, 14, 224)  0           ['block5f_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5f_add (Add)              (None, 14, 14, 224)  0           ['block5f_drop[0][0]',           Y          \n",
-      "                                                                  'block5e_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block5g_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5f_add[0][0]']            Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block5g_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5g_expand_conv[0][0]']    Y          \n",
-      " ization)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5g_expand_activation (Act  (None, 14, 14, 1344  0          ['block5g_expand_bn[0][0]']      Y          \n",
-      " ivation)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5g_dwconv (DepthwiseConv2  (None, 14, 14, 1344  33600      ['block5g_expand_activation[0][  Y          \n",
-      " D)                             )                                0]']                                        \n",
-      "                                                                                                             \n",
-      " block5g_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5g_dwconv[0][0]']         Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5g_activation (Activation  (None, 14, 14, 1344  0          ['block5g_bn[0][0]']             Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5g_se_squeeze (GlobalAver  (None, 1344)        0           ['block5g_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block5g_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5g_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5g_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5g_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5g_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5g_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5g_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5g_activation[0][0]',     Y          \n",
-      "                                )                                 'block5g_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block5g_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5g_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5g_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5g_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block5g_drop (FixedDropout)    (None, 14, 14, 224)  0           ['block5g_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5g_add (Add)              (None, 14, 14, 224)  0           ['block5g_drop[0][0]',           Y          \n",
-      "                                                                  'block5f_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block5h_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5g_add[0][0]']            Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block5h_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5h_expand_conv[0][0]']    Y          \n",
-      " ization)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5h_expand_activation (Act  (None, 14, 14, 1344  0          ['block5h_expand_bn[0][0]']      Y          \n",
-      " ivation)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5h_dwconv (DepthwiseConv2  (None, 14, 14, 1344  33600      ['block5h_expand_activation[0][  Y          \n",
-      " D)                             )                                0]']                                        \n",
-      "                                                                                                             \n",
-      " block5h_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5h_dwconv[0][0]']         Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5h_activation (Activation  (None, 14, 14, 1344  0          ['block5h_bn[0][0]']             Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5h_se_squeeze (GlobalAver  (None, 1344)        0           ['block5h_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block5h_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5h_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5h_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5h_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5h_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5h_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5h_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5h_activation[0][0]',     Y          \n",
-      "                                )                                 'block5h_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block5h_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5h_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5h_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5h_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block5h_drop (FixedDropout)    (None, 14, 14, 224)  0           ['block5h_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5h_add (Add)              (None, 14, 14, 224)  0           ['block5h_drop[0][0]',           Y          \n",
-      "                                                                  'block5g_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block5i_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5h_add[0][0]']            Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block5i_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5i_expand_conv[0][0]']    Y          \n",
-      " ization)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5i_expand_activation (Act  (None, 14, 14, 1344  0          ['block5i_expand_bn[0][0]']      Y          \n",
-      " ivation)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5i_dwconv (DepthwiseConv2  (None, 14, 14, 1344  33600      ['block5i_expand_activation[0][  Y          \n",
-      " D)                             )                                0]']                                        \n",
-      "                                                                                                             \n",
-      " block5i_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5i_dwconv[0][0]']         Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5i_activation (Activation  (None, 14, 14, 1344  0          ['block5i_bn[0][0]']             Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5i_se_squeeze (GlobalAver  (None, 1344)        0           ['block5i_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block5i_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5i_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5i_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5i_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5i_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5i_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5i_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5i_activation[0][0]',     Y          \n",
-      "                                )                                 'block5i_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block5i_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5i_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5i_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5i_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block5i_drop (FixedDropout)    (None, 14, 14, 224)  0           ['block5i_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5i_add (Add)              (None, 14, 14, 224)  0           ['block5i_drop[0][0]',           Y          \n",
-      "                                                                  'block5h_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block5j_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5i_add[0][0]']            Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block5j_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5j_expand_conv[0][0]']    Y          \n",
-      " ization)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5j_expand_activation (Act  (None, 14, 14, 1344  0          ['block5j_expand_bn[0][0]']      Y          \n",
-      " ivation)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5j_dwconv (DepthwiseConv2  (None, 14, 14, 1344  33600      ['block5j_expand_activation[0][  Y          \n",
-      " D)                             )                                0]']                                        \n",
-      "                                                                                                             \n",
-      " block5j_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5j_dwconv[0][0]']         Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5j_activation (Activation  (None, 14, 14, 1344  0          ['block5j_bn[0][0]']             Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5j_se_squeeze (GlobalAver  (None, 1344)        0           ['block5j_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block5j_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5j_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5j_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5j_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5j_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5j_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5j_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5j_activation[0][0]',     Y          \n",
-      "                                )                                 'block5j_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block5j_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5j_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5j_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5j_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block5j_drop (FixedDropout)    (None, 14, 14, 224)  0           ['block5j_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5j_add (Add)              (None, 14, 14, 224)  0           ['block5j_drop[0][0]',           Y          \n",
-      "                                                                  'block5i_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block6a_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5j_add[0][0]']            Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block6a_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block6a_expand_conv[0][0]']    Y          \n",
-      " ization)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block6a_expand_activation (Act  (None, 14, 14, 1344  0          ['block6a_expand_bn[0][0]']      Y          \n",
-      " ivation)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block6a_dwconv (DepthwiseConv2  (None, 7, 7, 1344)  33600       ['block6a_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block6a_bn (BatchNormalization  (None, 7, 7, 1344)  5376        ['block6a_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6a_activation (Activation  (None, 7, 7, 1344)  0           ['block6a_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6a_se_squeeze (GlobalAver  (None, 1344)        0           ['block6a_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block6a_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block6a_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6a_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block6a_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6a_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block6a_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6a_se_excite (Multiply)   (None, 7, 7, 1344)   0           ['block6a_activation[0][0]',     Y          \n",
-      "                                                                  'block6a_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block6a_project_conv (Conv2D)  (None, 7, 7, 384)    516096      ['block6a_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6a_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6a_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block6b_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6a_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6b_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6b_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6b_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6b_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6b_dwconv (DepthwiseConv2  (None, 7, 7, 2304)  57600       ['block6b_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block6b_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6b_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6b_activation (Activation  (None, 7, 7, 2304)  0           ['block6b_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6b_se_squeeze (GlobalAver  (None, 2304)        0           ['block6b_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block6b_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6b_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6b_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6b_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6b_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6b_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6b_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6b_activation[0][0]',     Y          \n",
-      "                                                                  'block6b_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block6b_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6b_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6b_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6b_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block6b_drop (FixedDropout)    (None, 7, 7, 384)    0           ['block6b_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6b_add (Add)              (None, 7, 7, 384)    0           ['block6b_drop[0][0]',           Y          \n",
-      "                                                                  'block6a_project_bn[0][0]']                \n",
-      "                                                                                                             \n",
-      " block6c_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6b_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block6c_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6c_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6c_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6c_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6c_dwconv (DepthwiseConv2  (None, 7, 7, 2304)  57600       ['block6c_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block6c_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6c_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6c_activation (Activation  (None, 7, 7, 2304)  0           ['block6c_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6c_se_squeeze (GlobalAver  (None, 2304)        0           ['block6c_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block6c_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6c_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6c_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6c_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6c_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6c_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6c_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6c_activation[0][0]',     Y          \n",
-      "                                                                  'block6c_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block6c_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6c_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6c_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6c_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block6c_drop (FixedDropout)    (None, 7, 7, 384)    0           ['block6c_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6c_add (Add)              (None, 7, 7, 384)    0           ['block6c_drop[0][0]',           Y          \n",
-      "                                                                  'block6b_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block6d_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6c_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block6d_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6d_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6d_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6d_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6d_dwconv (DepthwiseConv2  (None, 7, 7, 2304)  57600       ['block6d_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block6d_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6d_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6d_activation (Activation  (None, 7, 7, 2304)  0           ['block6d_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6d_se_squeeze (GlobalAver  (None, 2304)        0           ['block6d_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block6d_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6d_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6d_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6d_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6d_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6d_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6d_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6d_activation[0][0]',     Y          \n",
-      "                                                                  'block6d_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block6d_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6d_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6d_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6d_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block6d_drop (FixedDropout)    (None, 7, 7, 384)    0           ['block6d_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6d_add (Add)              (None, 7, 7, 384)    0           ['block6d_drop[0][0]',           Y          \n",
-      "                                                                  'block6c_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block6e_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6d_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block6e_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6e_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6e_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6e_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6e_dwconv (DepthwiseConv2  (None, 7, 7, 2304)  57600       ['block6e_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block6e_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6e_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6e_activation (Activation  (None, 7, 7, 2304)  0           ['block6e_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6e_se_squeeze (GlobalAver  (None, 2304)        0           ['block6e_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block6e_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6e_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6e_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6e_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6e_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6e_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6e_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6e_activation[0][0]',     Y          \n",
-      "                                                                  'block6e_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block6e_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6e_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6e_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6e_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block6e_drop (FixedDropout)    (None, 7, 7, 384)    0           ['block6e_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6e_add (Add)              (None, 7, 7, 384)    0           ['block6e_drop[0][0]',           Y          \n",
-      "                                                                  'block6d_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block6f_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6e_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block6f_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6f_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6f_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6f_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6f_dwconv (DepthwiseConv2  (None, 7, 7, 2304)  57600       ['block6f_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block6f_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6f_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6f_activation (Activation  (None, 7, 7, 2304)  0           ['block6f_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6f_se_squeeze (GlobalAver  (None, 2304)        0           ['block6f_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block6f_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6f_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6f_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6f_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6f_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6f_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6f_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6f_activation[0][0]',     Y          \n",
-      "                                                                  'block6f_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block6f_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6f_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6f_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6f_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block6f_drop (FixedDropout)    (None, 7, 7, 384)    0           ['block6f_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6f_add (Add)              (None, 7, 7, 384)    0           ['block6f_drop[0][0]',           Y          \n",
-      "                                                                  'block6e_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block6g_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6f_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block6g_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6g_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6g_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6g_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6g_dwconv (DepthwiseConv2  (None, 7, 7, 2304)  57600       ['block6g_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block6g_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6g_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6g_activation (Activation  (None, 7, 7, 2304)  0           ['block6g_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6g_se_squeeze (GlobalAver  (None, 2304)        0           ['block6g_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block6g_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6g_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6g_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6g_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6g_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6g_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6g_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6g_activation[0][0]',     Y          \n",
-      "                                                                  'block6g_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block6g_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6g_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6g_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6g_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block6g_drop (FixedDropout)    (None, 7, 7, 384)    0           ['block6g_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6g_add (Add)              (None, 7, 7, 384)    0           ['block6g_drop[0][0]',           Y          \n",
-      "                                                                  'block6f_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block6h_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6g_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block6h_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6h_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6h_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6h_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6h_dwconv (DepthwiseConv2  (None, 7, 7, 2304)  57600       ['block6h_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block6h_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6h_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6h_activation (Activation  (None, 7, 7, 2304)  0           ['block6h_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6h_se_squeeze (GlobalAver  (None, 2304)        0           ['block6h_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block6h_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6h_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6h_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6h_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6h_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6h_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6h_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6h_activation[0][0]',     Y          \n",
-      "                                                                  'block6h_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block6h_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6h_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6h_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6h_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block6h_drop (FixedDropout)    (None, 7, 7, 384)    0           ['block6h_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6h_add (Add)              (None, 7, 7, 384)    0           ['block6h_drop[0][0]',           Y          \n",
-      "                                                                  'block6g_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block6i_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6h_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block6i_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6i_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6i_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6i_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6i_dwconv (DepthwiseConv2  (None, 7, 7, 2304)  57600       ['block6i_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block6i_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6i_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6i_activation (Activation  (None, 7, 7, 2304)  0           ['block6i_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6i_se_squeeze (GlobalAver  (None, 2304)        0           ['block6i_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block6i_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6i_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6i_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6i_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6i_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6i_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6i_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6i_activation[0][0]',     Y          \n",
-      "                                                                  'block6i_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block6i_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6i_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6i_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6i_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block6i_drop (FixedDropout)    (None, 7, 7, 384)    0           ['block6i_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6i_add (Add)              (None, 7, 7, 384)    0           ['block6i_drop[0][0]',           Y          \n",
-      "                                                                  'block6h_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block6j_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6i_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block6j_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6j_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6j_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6j_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6j_dwconv (DepthwiseConv2  (None, 7, 7, 2304)  57600       ['block6j_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block6j_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6j_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6j_activation (Activation  (None, 7, 7, 2304)  0           ['block6j_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6j_se_squeeze (GlobalAver  (None, 2304)        0           ['block6j_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block6j_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6j_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6j_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6j_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6j_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6j_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6j_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6j_activation[0][0]',     Y          \n",
-      "                                                                  'block6j_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block6j_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6j_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6j_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6j_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block6j_drop (FixedDropout)    (None, 7, 7, 384)    0           ['block6j_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6j_add (Add)              (None, 7, 7, 384)    0           ['block6j_drop[0][0]',           Y          \n",
-      "                                                                  'block6i_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block6k_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6j_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block6k_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6k_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6k_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6k_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6k_dwconv (DepthwiseConv2  (None, 7, 7, 2304)  57600       ['block6k_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block6k_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6k_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6k_activation (Activation  (None, 7, 7, 2304)  0           ['block6k_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6k_se_squeeze (GlobalAver  (None, 2304)        0           ['block6k_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block6k_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6k_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6k_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6k_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6k_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6k_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6k_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6k_activation[0][0]',     Y          \n",
-      "                                                                  'block6k_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block6k_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6k_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6k_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6k_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block6k_drop (FixedDropout)    (None, 7, 7, 384)    0           ['block6k_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6k_add (Add)              (None, 7, 7, 384)    0           ['block6k_drop[0][0]',           Y          \n",
-      "                                                                  'block6j_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block6l_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6k_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block6l_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6l_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6l_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6l_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6l_dwconv (DepthwiseConv2  (None, 7, 7, 2304)  57600       ['block6l_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block6l_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6l_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6l_activation (Activation  (None, 7, 7, 2304)  0           ['block6l_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6l_se_squeeze (GlobalAver  (None, 2304)        0           ['block6l_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block6l_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6l_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6l_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6l_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6l_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6l_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6l_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6l_activation[0][0]',     Y          \n",
-      "                                                                  'block6l_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block6l_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6l_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6l_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6l_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block6l_drop (FixedDropout)    (None, 7, 7, 384)    0           ['block6l_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6l_add (Add)              (None, 7, 7, 384)    0           ['block6l_drop[0][0]',           Y          \n",
-      "                                                                  'block6k_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block6m_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6l_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block6m_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6m_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6m_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6m_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6m_dwconv (DepthwiseConv2  (None, 7, 7, 2304)  57600       ['block6m_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block6m_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6m_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6m_activation (Activation  (None, 7, 7, 2304)  0           ['block6m_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6m_se_squeeze (GlobalAver  (None, 2304)        0           ['block6m_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block6m_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6m_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6m_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6m_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6m_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6m_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6m_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6m_activation[0][0]',     Y          \n",
-      "                                                                  'block6m_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block6m_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6m_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6m_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6m_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block6m_drop (FixedDropout)    (None, 7, 7, 384)    0           ['block6m_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6m_add (Add)              (None, 7, 7, 384)    0           ['block6m_drop[0][0]',           Y          \n",
-      "                                                                  'block6l_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block7a_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6m_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block7a_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block7a_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block7a_expand_activation (Act  (None, 7, 7, 2304)  0           ['block7a_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block7a_dwconv (DepthwiseConv2  (None, 7, 7, 2304)  20736       ['block7a_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block7a_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block7a_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block7a_activation (Activation  (None, 7, 7, 2304)  0           ['block7a_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block7a_se_squeeze (GlobalAver  (None, 2304)        0           ['block7a_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block7a_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block7a_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block7a_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block7a_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block7a_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block7a_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block7a_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block7a_activation[0][0]',     Y          \n",
-      "                                                                  'block7a_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block7a_project_conv (Conv2D)  (None, 7, 7, 640)    1474560     ['block7a_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block7a_project_bn (BatchNorma  (None, 7, 7, 640)   2560        ['block7a_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block7b_expand_conv (Conv2D)   (None, 7, 7, 3840)   2457600     ['block7a_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block7b_expand_bn (BatchNormal  (None, 7, 7, 3840)  15360       ['block7b_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block7b_expand_activation (Act  (None, 7, 7, 3840)  0           ['block7b_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block7b_dwconv (DepthwiseConv2  (None, 7, 7, 3840)  34560       ['block7b_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block7b_bn (BatchNormalization  (None, 7, 7, 3840)  15360       ['block7b_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block7b_activation (Activation  (None, 7, 7, 3840)  0           ['block7b_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block7b_se_squeeze (GlobalAver  (None, 3840)        0           ['block7b_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block7b_se_reshape (Reshape)   (None, 1, 1, 3840)   0           ['block7b_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block7b_se_reduce (Conv2D)     (None, 1, 1, 160)    614560      ['block7b_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block7b_se_expand (Conv2D)     (None, 1, 1, 3840)   618240      ['block7b_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block7b_se_excite (Multiply)   (None, 7, 7, 3840)   0           ['block7b_activation[0][0]',     Y          \n",
-      "                                                                  'block7b_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block7b_project_conv (Conv2D)  (None, 7, 7, 640)    2457600     ['block7b_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block7b_project_bn (BatchNorma  (None, 7, 7, 640)   2560        ['block7b_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block7b_drop (FixedDropout)    (None, 7, 7, 640)    0           ['block7b_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block7b_add (Add)              (None, 7, 7, 640)    0           ['block7b_drop[0][0]',           Y          \n",
-      "                                                                  'block7a_project_bn[0][0]']                \n",
-      "                                                                                                             \n",
-      " block7c_expand_conv (Conv2D)   (None, 7, 7, 3840)   2457600     ['block7b_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block7c_expand_bn (BatchNormal  (None, 7, 7, 3840)  15360       ['block7c_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block7c_expand_activation (Act  (None, 7, 7, 3840)  0           ['block7c_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block7c_dwconv (DepthwiseConv2  (None, 7, 7, 3840)  34560       ['block7c_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block7c_bn (BatchNormalization  (None, 7, 7, 3840)  15360       ['block7c_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block7c_activation (Activation  (None, 7, 7, 3840)  0           ['block7c_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block7c_se_squeeze (GlobalAver  (None, 3840)        0           ['block7c_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block7c_se_reshape (Reshape)   (None, 1, 1, 3840)   0           ['block7c_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block7c_se_reduce (Conv2D)     (None, 1, 1, 160)    614560      ['block7c_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block7c_se_expand (Conv2D)     (None, 1, 1, 3840)   618240      ['block7c_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block7c_se_excite (Multiply)   (None, 7, 7, 3840)   0           ['block7c_activation[0][0]',     Y          \n",
-      "                                                                  'block7c_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block7c_project_conv (Conv2D)  (None, 7, 7, 640)    2457600     ['block7c_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block7c_project_bn (BatchNorma  (None, 7, 7, 640)   2560        ['block7c_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block7c_drop (FixedDropout)    (None, 7, 7, 640)    0           ['block7c_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block7c_add (Add)              (None, 7, 7, 640)    0           ['block7c_drop[0][0]',           Y          \n",
-      "                                                                  'block7b_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block7d_expand_conv (Conv2D)   (None, 7, 7, 3840)   2457600     ['block7c_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block7d_expand_bn (BatchNormal  (None, 7, 7, 3840)  15360       ['block7d_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block7d_expand_activation (Act  (None, 7, 7, 3840)  0           ['block7d_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block7d_dwconv (DepthwiseConv2  (None, 7, 7, 3840)  34560       ['block7d_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block7d_bn (BatchNormalization  (None, 7, 7, 3840)  15360       ['block7d_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block7d_activation (Activation  (None, 7, 7, 3840)  0           ['block7d_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block7d_se_squeeze (GlobalAver  (None, 3840)        0           ['block7d_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block7d_se_reshape (Reshape)   (None, 1, 1, 3840)   0           ['block7d_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block7d_se_reduce (Conv2D)     (None, 1, 1, 160)    614560      ['block7d_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block7d_se_expand (Conv2D)     (None, 1, 1, 3840)   618240      ['block7d_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block7d_se_excite (Multiply)   (None, 7, 7, 3840)   0           ['block7d_activation[0][0]',     Y          \n",
-      "                                                                  'block7d_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block7d_project_conv (Conv2D)  (None, 7, 7, 640)    2457600     ['block7d_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block7d_project_bn (BatchNorma  (None, 7, 7, 640)   2560        ['block7d_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block7d_drop (FixedDropout)    (None, 7, 7, 640)    0           ['block7d_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block7d_add (Add)              (None, 7, 7, 640)    0           ['block7d_drop[0][0]',           Y          \n",
-      "                                                                  'block7c_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " top_conv (Conv2D)              (None, 7, 7, 2560)   1638400     ['block7d_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " top_bn (BatchNormalization)    (None, 7, 7, 2560)   10240       ['top_conv[0][0]']               Y          \n",
-      "                                                                                                             \n",
-      " top_activation (Activation)    (None, 7, 7, 2560)   0           ['top_bn[0][0]']                 Y          \n",
-      "                                                                                                             \n",
-      " FC_INPUT_Avg-Pooling (GlobalAv  (None, 2560)        0           ['top_activation[0][0]']         Y          \n",
-      " eragePooling2D)                                                                                             \n",
-      "                                                                                                             \n",
-      " FC_C_Dense-L1-512 (Dense)      (None, 512)          1311232     ['FC_INPUT_Avg-Pooling[0][0]']   Y          \n",
-      "                                                                                                             \n",
-      " FC_C_Dropout-L1-0.1 (Dropout)  (None, 512)          0           ['FC_C_Dense-L1-512[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " FC_C_Avg-BatchNormalization-L1  (None, 512)         2048        ['FC_C_Dropout-L1-0.1[0][0]']    Y          \n",
-      "  (BatchNormalization)                                                                                       \n",
-      "                                                                                                             \n",
-      " FC_C_Dense-L2-512 (Dense)      (None, 256)          131328      ['FC_C_Avg-BatchNormalization-L  Y          \n",
-      "                                                                 1[0][0]']                                   \n",
-      "                                                                                                             \n",
-      " FC_C_Avg-BatchNormalization-L2  (None, 256)         1024        ['FC_C_Dense-L2-512[0][0]']      Y          \n",
-      "  (BatchNormalization)                                                                                       \n",
-      "                                                                                                             \n",
-      " FC_C_Dense-L3-128 (Dense)      (None, 128)          32896       ['FC_C_Avg-BatchNormalization-L  Y          \n",
-      "                                                                 2[0][0]']                                   \n",
-      "                                                                                                             \n",
-      " FC_OUTPUT_Dense-2 (Dense)      (None, 2)            258         ['FC_C_Dense-L3-128[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      "=============================================================================================================\n",
-      "Total params: 65,576,466\n",
-      "Trainable params: 65,264,210\n",
-      "Non-trainable params: 312,256\n",
-      "_____________________________________________________________________________________________________________\n",
-      "done.\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from efficientnet.keras import EfficientNetB7 as KENB7\n",
     "\n",
@@ -3140,7 +976,7 @@
     "    model_EfficientNetB7_NS = Model(inputs=base_model.input, outputs=predictions)\n",
     "    print(\"Total model layers: \", len(model_EfficientNetB7_NS.layers))\n",
     "    # OPT/compile\n",
-    "    opt = SGD(momentum=0.89, nesterov=False)  # noqa: F405\n",
+    "    opt = SGD(momentum=0.9, nesterov=False, use_ema=True)  # noqa: F405\n",
     "    # opt = Nadam() # noqa: F405\n",
     "    # opt = Adamax() # noqa: F405\n",
     "    # opt = Adam(amsgrad=True) # noqa: F405\n",
@@ -3693,50 +1529,5030 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Creating the model...\n"
+      "Creating the model...\n",
+      "Total model layers:  821\n"
      ]
     },
     {
-     "ename": "NameError",
-     "evalue": "name 'KENB7' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "Cell \u001b[1;32mIn[9], line 61\u001b[0m\n\u001b[0;32m     59\u001b[0m \u001b[38;5;66;03m# Main\u001b[39;00m\n\u001b[0;32m     60\u001b[0m freeze_layers \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m\n\u001b[1;32m---> 61\u001b[0m model \u001b[38;5;241m=\u001b[39m \u001b[43mEff_B7_NS\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfreeze_layers\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m     62\u001b[0m model\u001b[38;5;241m.\u001b[39msummary(show_trainable\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m, expand_nested\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[0;32m     63\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdone.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
-      "Cell \u001b[1;32mIn[9], line 3\u001b[0m, in \u001b[0;36mEff_B7_NS\u001b[1;34m(freeze_layers)\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mEff_B7_NS\u001b[39m(freeze_layers):\n\u001b[1;32m----> 3\u001b[0m     base_model \u001b[38;5;241m=\u001b[39m \u001b[43mKENB7\u001b[49m(\n\u001b[0;32m      4\u001b[0m         input_shape\u001b[38;5;241m=\u001b[39m(img_res[\u001b[38;5;241m0\u001b[39m], img_res[\u001b[38;5;241m1\u001b[39m], img_res[\u001b[38;5;241m2\u001b[39m]),\n\u001b[0;32m      5\u001b[0m         weights\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnoisy-student\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m      6\u001b[0m         include_top\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m,\n\u001b[0;32m      7\u001b[0m     )\n\u001b[0;32m      8\u001b[0m     \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTotal layers in the base model: \u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28mlen\u001b[39m(base_model\u001b[38;5;241m.\u001b[39mlayers))\n\u001b[0;32m      9\u001b[0m     \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFreezing \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfreeze_layers\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m layers in the base model...\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
-      "\u001b[1;31mNameError\u001b[0m: name 'KENB7' is not defined"
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"functional_1\"</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1mModel: \"functional_1\"\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━┓\n",
+       "┃<span style=\"font-weight: bold\"> Layer (type)      </span>┃<span style=\"font-weight: bold\"> Output Shape    </span>┃<span style=\"font-weight: bold\">   Param # </span>┃<span style=\"font-weight: bold\"> Connected to   </span>┃<span style=\"font-weight: bold\"> Trai… </span>┃\n",
+       "┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━┩\n",
+       "│ input_layer       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>,     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -              │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">3</span>)         │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ rescaling         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>,     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ input_layer[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Rescaling</span>)       │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">3</span>)         │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ normalization     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>,     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span> │ rescaling[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Normalization</span>)   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">3</span>)         │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ stem_conv_pad     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">225</span>,     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ normalization… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ZeroPadding2D</span>)   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">225</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">3</span>)         │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ stem_conv         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,728</span> │ stem_conv_pad… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ stem_bn           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │       <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span> │ stem_conv[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ stem_activation   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ stem_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1a_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │       <span style=\"color: #00af00; text-decoration-color: #00af00\">576</span> │ stem_activati… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1a_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │       <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span> │ block1a_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1a_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block1a_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1a_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)      │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block1a_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1a_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block1a_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1a_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,040</span> │ block1a_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1a_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,088</span> │ block1a_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1a_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block1a_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)        │           │ block1a_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1a_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,048</span> │ block1a_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1a_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │       <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span> │ block1a_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1b_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │       <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span> │ block1a_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1b_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │       <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span> │ block1b_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1b_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block1b_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1b_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)      │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block1b_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1b_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block1b_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1b_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>) │       <span style=\"color: #00af00; text-decoration-color: #00af00\">264</span> │ block1b_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1b_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │       <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span> │ block1b_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1b_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block1b_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)        │           │ block1b_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1b_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │ block1b_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1b_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │       <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span> │ block1b_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1b_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block1b_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1b_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block1b_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)        │           │ block1a_proje… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1c_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │       <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span> │ block1b_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1c_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │       <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span> │ block1c_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1c_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block1c_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1c_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)      │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block1c_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1c_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block1c_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1c_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>) │       <span style=\"color: #00af00; text-decoration-color: #00af00\">264</span> │ block1c_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1c_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │       <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span> │ block1c_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1c_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block1c_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)        │           │ block1c_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1c_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │ block1c_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1c_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │       <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span> │ block1c_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1c_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block1c_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1c_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block1c_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)        │           │ block1b_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1d_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │       <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span> │ block1c_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1d_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │       <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span> │ block1d_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1d_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block1d_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1d_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)      │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block1d_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1d_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block1d_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1d_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>) │       <span style=\"color: #00af00; text-decoration-color: #00af00\">264</span> │ block1d_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1d_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │       <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span> │ block1d_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1d_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block1d_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)        │           │ block1d_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1d_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │ block1d_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1d_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │       <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span> │ block1d_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1d_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block1d_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1d_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block1d_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)        │           │ block1c_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2a_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │     <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │ block1d_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)       │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2a_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │       <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span> │ block2a_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)       │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2a_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>,     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2a_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)       │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2a_dwconv_p… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">113</span>,     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2a_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ZeroPadding2D</span>)   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">113</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)       │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2a_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,728</span> │ block2a_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2a_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span> │ block2a_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2a_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2a_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2a_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2a_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2a_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2a_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2a_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>) │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,544</span> │ block2a_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2a_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,728</span> │ block2a_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2a_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2a_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)            │           │ block2a_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2a_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ block2a_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2a_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span> │ block2a_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">13,824</span> │ block2a_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,152</span> │ block2b_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2b_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,592</span> │ block2b_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,152</span> │ block2b_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2b_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2b_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2b_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,468</span> │ block2b_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,744</span> │ block2b_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2b_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │ block2b_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">13,824</span> │ block2b_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span> │ block2b_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2b_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2b_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)             │           │ block2a_proje… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">13,824</span> │ block2b_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,152</span> │ block2c_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2c_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,592</span> │ block2c_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,152</span> │ block2c_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2c_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2c_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2c_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,468</span> │ block2c_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,744</span> │ block2c_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2c_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │ block2c_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">13,824</span> │ block2c_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span> │ block2c_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2c_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2c_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)             │           │ block2b_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">13,824</span> │ block2c_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,152</span> │ block2d_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2d_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,592</span> │ block2d_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,152</span> │ block2d_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2d_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2d_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2d_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,468</span> │ block2d_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,744</span> │ block2d_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2d_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │ block2d_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">13,824</span> │ block2d_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span> │ block2d_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2d_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2d_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)             │           │ block2c_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">13,824</span> │ block2d_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,152</span> │ block2e_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2e_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,592</span> │ block2e_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,152</span> │ block2e_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2e_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2e_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2e_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,468</span> │ block2e_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,744</span> │ block2e_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2e_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │ block2e_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">13,824</span> │ block2e_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span> │ block2e_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2e_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2e_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)             │           │ block2d_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">13,824</span> │ block2e_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,152</span> │ block2f_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2f_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,592</span> │ block2f_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,152</span> │ block2f_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2f_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2f_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2f_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,468</span> │ block2f_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,744</span> │ block2f_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2f_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │ block2f_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">13,824</span> │ block2f_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span> │ block2f_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2f_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2f_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)             │           │ block2e_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">13,824</span> │ block2f_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,152</span> │ block2g_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2g_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,592</span> │ block2g_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,152</span> │ block2g_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2g_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2g_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2g_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,468</span> │ block2g_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,744</span> │ block2g_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2g_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │ block2g_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">13,824</span> │ block2g_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span> │ block2g_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2g_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block2g_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)             │           │ block2f_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3a_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">13,824</span> │ block2g_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3a_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,152</span> │ block3a_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3a_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3a_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3a_dwconv_p… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">59</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">59</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3a_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ZeroPadding2D</span>)   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3a_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">7,200</span> │ block3a_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3a_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,152</span> │ block3a_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3a_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3a_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3a_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3a_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3a_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3a_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3a_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,468</span> │ block3a_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3a_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,744</span> │ block3a_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3a_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3a_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span>)            │           │ block3a_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3a_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">23,040</span> │ block3a_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3a_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">320</span> │ block3a_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">38,400</span> │ block3a_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,920</span> │ block3b_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3b_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">12,000</span> │ block3b_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,920</span> │ block3b_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3b_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3b_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3b_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,620</span> │ block3b_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">10,080</span> │ block3b_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3b_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │ block3b_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">38,400</span> │ block3b_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">320</span> │ block3b_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3b_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3b_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)             │           │ block3a_proje… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">38,400</span> │ block3b_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,920</span> │ block3c_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3c_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">12,000</span> │ block3c_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,920</span> │ block3c_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3c_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3c_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3c_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,620</span> │ block3c_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">10,080</span> │ block3c_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3c_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │ block3c_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">38,400</span> │ block3c_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">320</span> │ block3c_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3c_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3c_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)             │           │ block3b_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">38,400</span> │ block3c_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,920</span> │ block3d_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3d_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">12,000</span> │ block3d_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,920</span> │ block3d_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3d_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3d_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3d_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,620</span> │ block3d_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">10,080</span> │ block3d_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3d_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │ block3d_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">38,400</span> │ block3d_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">320</span> │ block3d_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3d_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3d_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)             │           │ block3c_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">38,400</span> │ block3d_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,920</span> │ block3e_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3e_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">12,000</span> │ block3e_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,920</span> │ block3e_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3e_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3e_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3e_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,620</span> │ block3e_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">10,080</span> │ block3e_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3e_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │ block3e_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">38,400</span> │ block3e_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">320</span> │ block3e_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3e_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3e_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)             │           │ block3d_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">38,400</span> │ block3e_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,920</span> │ block3f_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3f_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">12,000</span> │ block3f_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,920</span> │ block3f_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3f_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3f_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3f_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,620</span> │ block3f_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">10,080</span> │ block3f_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3f_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │ block3f_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">38,400</span> │ block3f_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">320</span> │ block3f_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3f_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3f_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)             │           │ block3e_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">38,400</span> │ block3f_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,920</span> │ block3g_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3g_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">12,000</span> │ block3g_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,920</span> │ block3g_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3g_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3g_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3g_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,620</span> │ block3g_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">10,080</span> │ block3g_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3g_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │ block3g_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">38,400</span> │ block3g_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">320</span> │ block3g_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3g_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block3g_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)             │           │ block3f_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4a_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">38,400</span> │ block3g_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4a_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,920</span> │ block4a_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4a_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4a_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4a_dwconv_p… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">29</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">29</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4a_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ZeroPadding2D</span>)   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4a_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">4,320</span> │ block4a_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4a_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,920</span> │ block4a_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4a_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4a_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4a_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4a_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4a_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4a_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4a_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,620</span> │ block4a_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4a_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">10,080</span> │ block4a_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4a_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4a_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">480</span>)            │           │ block4a_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4a_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">76,800</span> │ block4a_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4a_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span> │ block4a_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │ block4a_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │ block4b_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4b_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">8,640</span> │ block4b_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │ block4b_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4b_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4b_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4b_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">38,440</span> │ block4b_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">39,360</span> │ block4b_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4b_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │ block4b_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │ block4b_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span> │ block4b_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4b_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4b_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │ block4a_proje… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │ block4b_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │ block4c_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4c_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">8,640</span> │ block4c_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │ block4c_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4c_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4c_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4c_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">38,440</span> │ block4c_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">39,360</span> │ block4c_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4c_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │ block4c_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │ block4c_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span> │ block4c_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4c_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4c_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │ block4b_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │ block4c_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │ block4d_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4d_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">8,640</span> │ block4d_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │ block4d_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4d_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4d_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4d_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">38,440</span> │ block4d_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">39,360</span> │ block4d_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4d_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │ block4d_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │ block4d_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span> │ block4d_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4d_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4d_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │ block4c_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │ block4d_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │ block4e_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4e_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">8,640</span> │ block4e_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │ block4e_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4e_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4e_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4e_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">38,440</span> │ block4e_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">39,360</span> │ block4e_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4e_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │ block4e_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │ block4e_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span> │ block4e_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4e_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4e_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │ block4d_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │ block4e_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │ block4f_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4f_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">8,640</span> │ block4f_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │ block4f_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4f_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4f_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4f_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">38,440</span> │ block4f_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">39,360</span> │ block4f_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4f_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │ block4f_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │ block4f_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span> │ block4f_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4f_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4f_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │ block4e_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │ block4f_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │ block4g_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4g_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">8,640</span> │ block4g_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │ block4g_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4g_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4g_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4g_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">38,440</span> │ block4g_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">39,360</span> │ block4g_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4g_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │ block4g_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │ block4g_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span> │ block4g_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4g_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4g_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │ block4f_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │ block4g_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │ block4h_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4h_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">8,640</span> │ block4h_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │ block4h_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4h_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4h_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4h_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">38,440</span> │ block4h_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">39,360</span> │ block4h_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4h_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │ block4h_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │ block4h_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span> │ block4h_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4h_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4h_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │ block4g_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │ block4h_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │ block4i_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4i_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">8,640</span> │ block4i_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │ block4i_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4i_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4i_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4i_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">38,440</span> │ block4i_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">39,360</span> │ block4i_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4i_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │ block4i_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │ block4i_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span> │ block4i_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4i_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4i_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │ block4h_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │ block4i_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │ block4j_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4j_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">8,640</span> │ block4j_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │ block4j_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4j_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4j_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4j_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">38,440</span> │ block4j_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">39,360</span> │ block4j_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4j_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │ block4j_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │ block4j_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span> │ block4j_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4j_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block4j_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │ block4i_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5a_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │ block4j_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5a_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │ block5a_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5a_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5a_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5a_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">24,000</span> │ block5a_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5a_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │ block5a_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5a_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5a_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5a_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5a_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5a_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5a_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5a_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">38,440</span> │ block5a_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5a_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">39,360</span> │ block5a_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5a_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5a_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │           │ block5a_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5a_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">215,040</span> │ block5a_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5a_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">896</span> │ block5a_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">301,056</span> │ block5a_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">5,376</span> │ block5b_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5b_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">33,600</span> │ block5b_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">5,376</span> │ block5b_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5b_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5b_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5b_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">75,320</span> │ block5b_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">76,608</span> │ block5b_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5b_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │ block5b_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">301,056</span> │ block5b_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">896</span> │ block5b_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5b_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5b_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │ block5a_proje… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">301,056</span> │ block5b_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">5,376</span> │ block5c_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5c_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">33,600</span> │ block5c_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">5,376</span> │ block5c_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5c_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5c_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5c_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">75,320</span> │ block5c_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">76,608</span> │ block5c_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5c_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │ block5c_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">301,056</span> │ block5c_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">896</span> │ block5c_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5c_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5c_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │ block5b_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">301,056</span> │ block5c_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">5,376</span> │ block5d_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5d_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">33,600</span> │ block5d_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">5,376</span> │ block5d_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5d_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5d_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5d_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">75,320</span> │ block5d_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">76,608</span> │ block5d_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5d_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │ block5d_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">301,056</span> │ block5d_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">896</span> │ block5d_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5d_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5d_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │ block5c_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">301,056</span> │ block5d_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">5,376</span> │ block5e_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5e_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">33,600</span> │ block5e_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">5,376</span> │ block5e_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5e_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5e_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5e_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">75,320</span> │ block5e_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">76,608</span> │ block5e_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5e_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │ block5e_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">301,056</span> │ block5e_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">896</span> │ block5e_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5e_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5e_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │ block5d_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">301,056</span> │ block5e_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">5,376</span> │ block5f_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5f_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">33,600</span> │ block5f_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">5,376</span> │ block5f_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5f_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5f_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5f_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">75,320</span> │ block5f_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">76,608</span> │ block5f_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5f_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │ block5f_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">301,056</span> │ block5f_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">896</span> │ block5f_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5f_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5f_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │ block5e_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">301,056</span> │ block5f_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">5,376</span> │ block5g_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5g_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">33,600</span> │ block5g_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">5,376</span> │ block5g_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5g_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5g_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5g_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">75,320</span> │ block5g_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">76,608</span> │ block5g_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5g_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │ block5g_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">301,056</span> │ block5g_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">896</span> │ block5g_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5g_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5g_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │ block5f_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">301,056</span> │ block5g_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">5,376</span> │ block5h_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5h_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">33,600</span> │ block5h_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">5,376</span> │ block5h_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5h_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5h_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5h_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">75,320</span> │ block5h_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">76,608</span> │ block5h_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5h_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │ block5h_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">301,056</span> │ block5h_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">896</span> │ block5h_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5h_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5h_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │ block5g_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">301,056</span> │ block5h_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">5,376</span> │ block5i_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5i_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">33,600</span> │ block5i_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">5,376</span> │ block5i_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5i_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5i_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5i_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">75,320</span> │ block5i_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">76,608</span> │ block5i_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5i_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │ block5i_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">301,056</span> │ block5i_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">896</span> │ block5i_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5i_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5i_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │ block5h_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">301,056</span> │ block5i_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">5,376</span> │ block5j_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5j_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │    <span style=\"color: #00af00; text-decoration-color: #00af00\">33,600</span> │ block5j_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">5,376</span> │ block5j_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5j_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5j_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5j_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">75,320</span> │ block5j_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">76,608</span> │ block5j_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5j_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │ block5j_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">301,056</span> │ block5j_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">896</span> │ block5j_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5j_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block5j_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>)            │           │ block5i_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6a_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │   <span style=\"color: #00af00; text-decoration-color: #00af00\">301,056</span> │ block5j_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6a_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │     <span style=\"color: #00af00; text-decoration-color: #00af00\">5,376</span> │ block6a_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6a_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6a_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6a_dwconv_p… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">17</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">17</span>,  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6a_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ZeroPadding2D</span>)   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6a_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">33,600</span> │ block6a_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6a_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">5,376</span> │ block6a_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6a_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6a_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6a_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6a_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6a_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6a_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6a_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">75,320</span> │ block6a_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6a_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">76,608</span> │ block6a_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6a_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6a_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1344</span>)           │           │ block6a_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6a_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">516,096</span> │ block6a_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6a_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,536</span> │ block6a_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">884,736</span> │ block6a_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ block6b_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6b_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">57,600</span> │ block6b_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ block6b_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6b_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6b_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6b_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">221,280</span> │ block6b_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">223,488</span> │ block6b_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6b_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │ block6b_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">884,736</span> │ block6b_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,536</span> │ block6b_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6b_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6b_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │ block6a_proje… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">884,736</span> │ block6b_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ block6c_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6c_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">57,600</span> │ block6c_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ block6c_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6c_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6c_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6c_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">221,280</span> │ block6c_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">223,488</span> │ block6c_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6c_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │ block6c_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">884,736</span> │ block6c_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,536</span> │ block6c_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6c_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6c_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │ block6b_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">884,736</span> │ block6c_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ block6d_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6d_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">57,600</span> │ block6d_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ block6d_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6d_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6d_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6d_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">221,280</span> │ block6d_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">223,488</span> │ block6d_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6d_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │ block6d_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">884,736</span> │ block6d_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,536</span> │ block6d_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6d_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6d_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │ block6c_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">884,736</span> │ block6d_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ block6e_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6e_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">57,600</span> │ block6e_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ block6e_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6e_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6e_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6e_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">221,280</span> │ block6e_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">223,488</span> │ block6e_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6e_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │ block6e_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">884,736</span> │ block6e_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,536</span> │ block6e_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6e_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6e_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │ block6d_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">884,736</span> │ block6e_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ block6f_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6f_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">57,600</span> │ block6f_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ block6f_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6f_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6f_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6f_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">221,280</span> │ block6f_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">223,488</span> │ block6f_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6f_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │ block6f_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">884,736</span> │ block6f_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,536</span> │ block6f_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6f_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6f_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │ block6e_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">884,736</span> │ block6f_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ block6g_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6g_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">57,600</span> │ block6g_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ block6g_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6g_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6g_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6g_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">221,280</span> │ block6g_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">223,488</span> │ block6g_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6g_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │ block6g_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">884,736</span> │ block6g_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,536</span> │ block6g_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6g_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6g_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │ block6f_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">884,736</span> │ block6g_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ block6h_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6h_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">57,600</span> │ block6h_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ block6h_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6h_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6h_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6h_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">221,280</span> │ block6h_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">223,488</span> │ block6h_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6h_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │ block6h_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">884,736</span> │ block6h_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,536</span> │ block6h_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6h_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6h_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │ block6g_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">884,736</span> │ block6h_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ block6i_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6i_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">57,600</span> │ block6i_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ block6i_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6i_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6i_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6i_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">221,280</span> │ block6i_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">223,488</span> │ block6i_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6i_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │ block6i_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">884,736</span> │ block6i_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,536</span> │ block6i_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6i_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6i_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │ block6h_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">884,736</span> │ block6i_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ block6j_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6j_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">57,600</span> │ block6j_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ block6j_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6j_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6j_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6j_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">221,280</span> │ block6j_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">223,488</span> │ block6j_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6j_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │ block6j_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">884,736</span> │ block6j_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,536</span> │ block6j_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6j_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6j_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │ block6i_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">884,736</span> │ block6j_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ block6k_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6k_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">57,600</span> │ block6k_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ block6k_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6k_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6k_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6k_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">221,280</span> │ block6k_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">223,488</span> │ block6k_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6k_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │ block6k_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">884,736</span> │ block6k_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,536</span> │ block6k_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6k_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6k_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │ block6j_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">884,736</span> │ block6k_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ block6l_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6l_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">57,600</span> │ block6l_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ block6l_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6l_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6l_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6l_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">221,280</span> │ block6l_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">223,488</span> │ block6l_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6l_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │ block6l_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">884,736</span> │ block6l_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,536</span> │ block6l_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6l_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6l_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │ block6k_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">884,736</span> │ block6l_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ block6m_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6m_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">57,600</span> │ block6m_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ block6m_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6m_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6m_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6m_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">221,280</span> │ block6m_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">223,488</span> │ block6m_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6m_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │ block6m_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">884,736</span> │ block6m_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,536</span> │ block6m_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6m_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block6m_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)            │           │ block6l_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7a_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">884,736</span> │ block6m_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7a_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ block7a_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7a_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block7a_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7a_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">20,736</span> │ block7a_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7a_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │ block7a_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7a_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block7a_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7a_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block7a_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7a_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block7a_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7a_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">221,280</span> │ block7a_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7a_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">223,488</span> │ block7a_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7a_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block7a_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │           │ block7a_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7a_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1,474,560</span> │ block7a_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7a_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,560</span> │ block7a_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2,457,600</span> │ block7a_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">15,360</span> │ block7b_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block7b_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">34,560</span> │ block7b_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">15,360</span> │ block7b_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block7b_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block7b_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block7b_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">614,560</span> │ block7b_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">618,240</span> │ block7b_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block7b_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)           │           │ block7b_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2,457,600</span> │ block7b_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,560</span> │ block7b_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block7b_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block7b_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span>)            │           │ block7a_proje… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2,457,600</span> │ block7b_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">15,360</span> │ block7c_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block7c_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">34,560</span> │ block7c_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">15,360</span> │ block7c_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block7c_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block7c_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block7c_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">614,560</span> │ block7c_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">618,240</span> │ block7c_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block7c_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)           │           │ block7c_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2,457,600</span> │ block7c_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,560</span> │ block7c_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block7c_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block7c_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span>)            │           │ block7b_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_expand_c… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2,457,600</span> │ block7c_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_expand_bn │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">15,360</span> │ block7d_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_expand_a… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block7d_expan… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_dwconv    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">34,560</span> │ block7d_expan… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_bn        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">15,360</span> │ block7d_dwcon… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_activati… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block7d_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_se_squee… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block7d_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_se_resha… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block7d_se_sq… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_se_reduce │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">614,560</span> │ block7d_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_se_expand │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">618,240</span> │ block7d_se_re… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_se_excite │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block7d_activ… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)        │ <span style=\"color: #00af00; text-decoration-color: #00af00\">3840</span>)           │           │ block7d_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2,457,600</span> │ block7d_se_ex… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_project_… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,560</span> │ block7d_proje… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_drop      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block7d_proje… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span>)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ block7d_drop[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span>)            │           │ block7c_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ top_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1,638,400</span> │ block7d_add[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│                   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2560</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ top_bn            │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">10,240</span> │ top_conv[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2560</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ top_activation    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ top_bn[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]   │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2560</span>)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ FC_INPUT_Avg-Poo… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2560</span>)    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ top_activatio… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePo…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ FC_C_Dense-L1-512 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1,311,232</span> │ FC_INPUT_Avg-… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)           │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ FC_C_Dropout-L1-… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ FC_C_Dense-L1… │   <span style=\"font-weight: bold\">-</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)         │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ FC_C_Avg-BatchNo… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)     │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,048</span> │ FC_C_Dropout-… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ FC_C_Dense-L2-512 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)     │   <span style=\"color: #00af00; text-decoration-color: #00af00\">131,328</span> │ FC_C_Avg-Batc… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)           │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ FC_C_Avg-BatchNo… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)     │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │ FC_C_Dense-L2… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizat…</span> │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ FC_C_Dense-L3-128 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)     │    <span style=\"color: #00af00; text-decoration-color: #00af00\">32,896</span> │ FC_C_Avg-Batc… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)           │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ FC_OUTPUT_Dense-2 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>)       │       <span style=\"color: #00af00; text-decoration-color: #00af00\">258</span> │ FC_C_Dense-L3… │   <span style=\"color: #00af00; text-decoration-color: #00af00; font-weight: bold\">Y</span>   │\n",
+       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)           │                 │           │                │       │\n",
+       "└───────────────────┴─────────────────┴───────────┴────────────────┴───────┘\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━┓\n",
+       "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)     \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m  Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mTrai…\u001b[0m\u001b[1m \u001b[0m┃\n",
+       "┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━┩\n",
+       "│ input_layer       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m,     │         \u001b[38;5;34m0\u001b[0m │ -              │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mInputLayer\u001b[0m)      │ \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m3\u001b[0m)         │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ rescaling         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m,     │         \u001b[38;5;34m0\u001b[0m │ input_layer[\u001b[38;5;34m0\u001b[0m… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mRescaling\u001b[0m)       │ \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m3\u001b[0m)         │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ normalization     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m,     │         \u001b[38;5;34m7\u001b[0m │ rescaling[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mNormalization\u001b[0m)   │ \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m3\u001b[0m)         │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ stem_conv_pad     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m225\u001b[0m,     │         \u001b[38;5;34m0\u001b[0m │ normalization… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mZeroPadding2D\u001b[0m)   │ \u001b[38;5;34m225\u001b[0m, \u001b[38;5;34m3\u001b[0m)         │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ stem_conv         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │     \u001b[38;5;34m1,728\u001b[0m │ stem_conv_pad… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m64\u001b[0m)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ stem_bn           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │       \u001b[38;5;34m256\u001b[0m │ stem_conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m64\u001b[0m)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ stem_activation   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │         \u001b[38;5;34m0\u001b[0m │ stem_bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m64\u001b[0m)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1a_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │       \u001b[38;5;34m576\u001b[0m │ stem_activati… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m64\u001b[0m)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1a_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │       \u001b[38;5;34m256\u001b[0m │ block1a_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m64\u001b[0m)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1a_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │         \u001b[38;5;34m0\u001b[0m │ block1a_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m64\u001b[0m)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1a_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)      │         \u001b[38;5;34m0\u001b[0m │ block1a_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1a_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block1a_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m64\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1a_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │     \u001b[38;5;34m1,040\u001b[0m │ block1a_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m16\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1a_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │     \u001b[38;5;34m1,088\u001b[0m │ block1a_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m64\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1a_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │         \u001b[38;5;34m0\u001b[0m │ block1a_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m64\u001b[0m)        │           │ block1a_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1a_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │     \u001b[38;5;34m2,048\u001b[0m │ block1a_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m32\u001b[0m)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1a_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │       \u001b[38;5;34m128\u001b[0m │ block1a_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m32\u001b[0m)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1b_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │       \u001b[38;5;34m288\u001b[0m │ block1a_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m32\u001b[0m)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1b_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │       \u001b[38;5;34m128\u001b[0m │ block1b_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m32\u001b[0m)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1b_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │         \u001b[38;5;34m0\u001b[0m │ block1b_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m32\u001b[0m)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1b_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m)      │         \u001b[38;5;34m0\u001b[0m │ block1b_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1b_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block1b_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m32\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1b_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m8\u001b[0m) │       \u001b[38;5;34m264\u001b[0m │ block1b_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1b_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │       \u001b[38;5;34m288\u001b[0m │ block1b_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m32\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1b_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │         \u001b[38;5;34m0\u001b[0m │ block1b_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m32\u001b[0m)        │           │ block1b_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1b_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │     \u001b[38;5;34m1,024\u001b[0m │ block1b_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m32\u001b[0m)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1b_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │       \u001b[38;5;34m128\u001b[0m │ block1b_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m32\u001b[0m)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1b_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │         \u001b[38;5;34m0\u001b[0m │ block1b_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m32\u001b[0m)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1b_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │         \u001b[38;5;34m0\u001b[0m │ block1b_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m32\u001b[0m)        │           │ block1a_proje… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1c_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │       \u001b[38;5;34m288\u001b[0m │ block1b_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m32\u001b[0m)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1c_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │       \u001b[38;5;34m128\u001b[0m │ block1c_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m32\u001b[0m)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1c_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │         \u001b[38;5;34m0\u001b[0m │ block1c_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m32\u001b[0m)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1c_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m)      │         \u001b[38;5;34m0\u001b[0m │ block1c_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1c_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block1c_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m32\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1c_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m8\u001b[0m) │       \u001b[38;5;34m264\u001b[0m │ block1c_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1c_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │       \u001b[38;5;34m288\u001b[0m │ block1c_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m32\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1c_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │         \u001b[38;5;34m0\u001b[0m │ block1c_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m32\u001b[0m)        │           │ block1c_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1c_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │     \u001b[38;5;34m1,024\u001b[0m │ block1c_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m32\u001b[0m)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1c_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │       \u001b[38;5;34m128\u001b[0m │ block1c_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m32\u001b[0m)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1c_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │         \u001b[38;5;34m0\u001b[0m │ block1c_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m32\u001b[0m)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1c_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │         \u001b[38;5;34m0\u001b[0m │ block1c_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m32\u001b[0m)        │           │ block1b_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1d_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │       \u001b[38;5;34m288\u001b[0m │ block1c_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m32\u001b[0m)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1d_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │       \u001b[38;5;34m128\u001b[0m │ block1d_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m32\u001b[0m)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1d_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │         \u001b[38;5;34m0\u001b[0m │ block1d_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m32\u001b[0m)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1d_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m)      │         \u001b[38;5;34m0\u001b[0m │ block1d_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1d_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block1d_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m32\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1d_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m8\u001b[0m) │       \u001b[38;5;34m264\u001b[0m │ block1d_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1d_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │       \u001b[38;5;34m288\u001b[0m │ block1d_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m32\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1d_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │         \u001b[38;5;34m0\u001b[0m │ block1d_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m32\u001b[0m)        │           │ block1d_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1d_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │     \u001b[38;5;34m1,024\u001b[0m │ block1d_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m32\u001b[0m)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1d_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │       \u001b[38;5;34m128\u001b[0m │ block1d_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m32\u001b[0m)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1d_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │         \u001b[38;5;34m0\u001b[0m │ block1d_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m32\u001b[0m)        │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block1d_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │         \u001b[38;5;34m0\u001b[0m │ block1d_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m32\u001b[0m)        │           │ block1c_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2a_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │     \u001b[38;5;34m6,144\u001b[0m │ block1d_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m192\u001b[0m)       │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2a_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │       \u001b[38;5;34m768\u001b[0m │ block2a_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m192\u001b[0m)       │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2a_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m,     │         \u001b[38;5;34m0\u001b[0m │ block2a_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m192\u001b[0m)       │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2a_dwconv_p… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m113\u001b[0m,     │         \u001b[38;5;34m0\u001b[0m │ block2a_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mZeroPadding2D\u001b[0m)   │ \u001b[38;5;34m113\u001b[0m, \u001b[38;5;34m192\u001b[0m)       │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2a_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │     \u001b[38;5;34m1,728\u001b[0m │ block2a_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m192\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2a_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │       \u001b[38;5;34m768\u001b[0m │ block2a_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m192\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2a_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2a_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m192\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2a_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m192\u001b[0m)     │         \u001b[38;5;34m0\u001b[0m │ block2a_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2a_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block2a_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m192\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2a_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m8\u001b[0m) │     \u001b[38;5;34m1,544\u001b[0m │ block2a_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2a_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │     \u001b[38;5;34m1,728\u001b[0m │ block2a_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m192\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2a_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2a_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m192\u001b[0m)            │           │ block2a_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2a_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │     \u001b[38;5;34m9,216\u001b[0m │ block2a_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m48\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2a_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │       \u001b[38;5;34m192\u001b[0m │ block2a_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m48\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │    \u001b[38;5;34m13,824\u001b[0m │ block2a_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │     \u001b[38;5;34m1,152\u001b[0m │ block2b_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2b_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │     \u001b[38;5;34m2,592\u001b[0m │ block2b_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │     \u001b[38;5;34m1,152\u001b[0m │ block2b_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2b_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m288\u001b[0m)     │         \u001b[38;5;34m0\u001b[0m │ block2b_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block2b_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │     \u001b[38;5;34m3,468\u001b[0m │ block2b_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m12\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │     \u001b[38;5;34m3,744\u001b[0m │ block2b_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2b_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m288\u001b[0m)            │           │ block2b_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │    \u001b[38;5;34m13,824\u001b[0m │ block2b_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m48\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │       \u001b[38;5;34m192\u001b[0m │ block2b_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m48\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2b_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m48\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2b_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2b_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m48\u001b[0m)             │           │ block2a_proje… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │    \u001b[38;5;34m13,824\u001b[0m │ block2b_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │     \u001b[38;5;34m1,152\u001b[0m │ block2c_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2c_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │     \u001b[38;5;34m2,592\u001b[0m │ block2c_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │     \u001b[38;5;34m1,152\u001b[0m │ block2c_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2c_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m288\u001b[0m)     │         \u001b[38;5;34m0\u001b[0m │ block2c_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block2c_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │     \u001b[38;5;34m3,468\u001b[0m │ block2c_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m12\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │     \u001b[38;5;34m3,744\u001b[0m │ block2c_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2c_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m288\u001b[0m)            │           │ block2c_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │    \u001b[38;5;34m13,824\u001b[0m │ block2c_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m48\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │       \u001b[38;5;34m192\u001b[0m │ block2c_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m48\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2c_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m48\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2c_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2c_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m48\u001b[0m)             │           │ block2b_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │    \u001b[38;5;34m13,824\u001b[0m │ block2c_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │     \u001b[38;5;34m1,152\u001b[0m │ block2d_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2d_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │     \u001b[38;5;34m2,592\u001b[0m │ block2d_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │     \u001b[38;5;34m1,152\u001b[0m │ block2d_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2d_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m288\u001b[0m)     │         \u001b[38;5;34m0\u001b[0m │ block2d_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block2d_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │     \u001b[38;5;34m3,468\u001b[0m │ block2d_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m12\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │     \u001b[38;5;34m3,744\u001b[0m │ block2d_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2d_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m288\u001b[0m)            │           │ block2d_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │    \u001b[38;5;34m13,824\u001b[0m │ block2d_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m48\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │       \u001b[38;5;34m192\u001b[0m │ block2d_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m48\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2d_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m48\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2d_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2d_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m48\u001b[0m)             │           │ block2c_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │    \u001b[38;5;34m13,824\u001b[0m │ block2d_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │     \u001b[38;5;34m1,152\u001b[0m │ block2e_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2e_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │     \u001b[38;5;34m2,592\u001b[0m │ block2e_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │     \u001b[38;5;34m1,152\u001b[0m │ block2e_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2e_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m288\u001b[0m)     │         \u001b[38;5;34m0\u001b[0m │ block2e_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block2e_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │     \u001b[38;5;34m3,468\u001b[0m │ block2e_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m12\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │     \u001b[38;5;34m3,744\u001b[0m │ block2e_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2e_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m288\u001b[0m)            │           │ block2e_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │    \u001b[38;5;34m13,824\u001b[0m │ block2e_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m48\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │       \u001b[38;5;34m192\u001b[0m │ block2e_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m48\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2e_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m48\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2e_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2e_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m48\u001b[0m)             │           │ block2d_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │    \u001b[38;5;34m13,824\u001b[0m │ block2e_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │     \u001b[38;5;34m1,152\u001b[0m │ block2f_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2f_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │     \u001b[38;5;34m2,592\u001b[0m │ block2f_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │     \u001b[38;5;34m1,152\u001b[0m │ block2f_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2f_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m288\u001b[0m)     │         \u001b[38;5;34m0\u001b[0m │ block2f_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block2f_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │     \u001b[38;5;34m3,468\u001b[0m │ block2f_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m12\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │     \u001b[38;5;34m3,744\u001b[0m │ block2f_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2f_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m288\u001b[0m)            │           │ block2f_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │    \u001b[38;5;34m13,824\u001b[0m │ block2f_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m48\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │       \u001b[38;5;34m192\u001b[0m │ block2f_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m48\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2f_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m48\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2f_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2f_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m48\u001b[0m)             │           │ block2e_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │    \u001b[38;5;34m13,824\u001b[0m │ block2f_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │     \u001b[38;5;34m1,152\u001b[0m │ block2g_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2g_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │     \u001b[38;5;34m2,592\u001b[0m │ block2g_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │     \u001b[38;5;34m1,152\u001b[0m │ block2g_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2g_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m288\u001b[0m)     │         \u001b[38;5;34m0\u001b[0m │ block2g_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block2g_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │     \u001b[38;5;34m3,468\u001b[0m │ block2g_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m12\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │     \u001b[38;5;34m3,744\u001b[0m │ block2g_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2g_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m288\u001b[0m)            │           │ block2g_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │    \u001b[38;5;34m13,824\u001b[0m │ block2g_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m48\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │       \u001b[38;5;34m192\u001b[0m │ block2g_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m48\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2g_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m48\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block2g_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block2g_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m48\u001b[0m)             │           │ block2f_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3a_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │    \u001b[38;5;34m13,824\u001b[0m │ block2g_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3a_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │     \u001b[38;5;34m1,152\u001b[0m │ block3a_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3a_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3a_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3a_dwconv_p… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m59\u001b[0m, \u001b[38;5;34m59\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3a_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mZeroPadding2D\u001b[0m)   │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3a_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │     \u001b[38;5;34m7,200\u001b[0m │ block3a_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3a_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │     \u001b[38;5;34m1,152\u001b[0m │ block3a_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3a_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3a_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3a_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m288\u001b[0m)     │         \u001b[38;5;34m0\u001b[0m │ block3a_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3a_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block3a_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3a_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │     \u001b[38;5;34m3,468\u001b[0m │ block3a_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m12\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3a_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │     \u001b[38;5;34m3,744\u001b[0m │ block3a_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m288\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3a_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3a_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m288\u001b[0m)            │           │ block3a_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3a_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │    \u001b[38;5;34m23,040\u001b[0m │ block3a_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m80\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3a_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │       \u001b[38;5;34m320\u001b[0m │ block3a_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m80\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │    \u001b[38;5;34m38,400\u001b[0m │ block3a_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │     \u001b[38;5;34m1,920\u001b[0m │ block3b_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3b_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │    \u001b[38;5;34m12,000\u001b[0m │ block3b_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │     \u001b[38;5;34m1,920\u001b[0m │ block3b_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3b_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m480\u001b[0m)     │         \u001b[38;5;34m0\u001b[0m │ block3b_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block3b_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │     \u001b[38;5;34m9,620\u001b[0m │ block3b_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m20\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m10,080\u001b[0m │ block3b_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3b_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m480\u001b[0m)            │           │ block3b_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │    \u001b[38;5;34m38,400\u001b[0m │ block3b_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m80\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │       \u001b[38;5;34m320\u001b[0m │ block3b_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m80\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3b_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m80\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3b_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3b_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m80\u001b[0m)             │           │ block3a_proje… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │    \u001b[38;5;34m38,400\u001b[0m │ block3b_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │     \u001b[38;5;34m1,920\u001b[0m │ block3c_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3c_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │    \u001b[38;5;34m12,000\u001b[0m │ block3c_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │     \u001b[38;5;34m1,920\u001b[0m │ block3c_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3c_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m480\u001b[0m)     │         \u001b[38;5;34m0\u001b[0m │ block3c_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block3c_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │     \u001b[38;5;34m9,620\u001b[0m │ block3c_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m20\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m10,080\u001b[0m │ block3c_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3c_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m480\u001b[0m)            │           │ block3c_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │    \u001b[38;5;34m38,400\u001b[0m │ block3c_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m80\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │       \u001b[38;5;34m320\u001b[0m │ block3c_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m80\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3c_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m80\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3c_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3c_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m80\u001b[0m)             │           │ block3b_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │    \u001b[38;5;34m38,400\u001b[0m │ block3c_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │     \u001b[38;5;34m1,920\u001b[0m │ block3d_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3d_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │    \u001b[38;5;34m12,000\u001b[0m │ block3d_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │     \u001b[38;5;34m1,920\u001b[0m │ block3d_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3d_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m480\u001b[0m)     │         \u001b[38;5;34m0\u001b[0m │ block3d_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block3d_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │     \u001b[38;5;34m9,620\u001b[0m │ block3d_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m20\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m10,080\u001b[0m │ block3d_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3d_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m480\u001b[0m)            │           │ block3d_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │    \u001b[38;5;34m38,400\u001b[0m │ block3d_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m80\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │       \u001b[38;5;34m320\u001b[0m │ block3d_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m80\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3d_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m80\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3d_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3d_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m80\u001b[0m)             │           │ block3c_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │    \u001b[38;5;34m38,400\u001b[0m │ block3d_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │     \u001b[38;5;34m1,920\u001b[0m │ block3e_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3e_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │    \u001b[38;5;34m12,000\u001b[0m │ block3e_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │     \u001b[38;5;34m1,920\u001b[0m │ block3e_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3e_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m480\u001b[0m)     │         \u001b[38;5;34m0\u001b[0m │ block3e_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block3e_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │     \u001b[38;5;34m9,620\u001b[0m │ block3e_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m20\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m10,080\u001b[0m │ block3e_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3e_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m480\u001b[0m)            │           │ block3e_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │    \u001b[38;5;34m38,400\u001b[0m │ block3e_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m80\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │       \u001b[38;5;34m320\u001b[0m │ block3e_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m80\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3e_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m80\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3e_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3e_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m80\u001b[0m)             │           │ block3d_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │    \u001b[38;5;34m38,400\u001b[0m │ block3e_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │     \u001b[38;5;34m1,920\u001b[0m │ block3f_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3f_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │    \u001b[38;5;34m12,000\u001b[0m │ block3f_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │     \u001b[38;5;34m1,920\u001b[0m │ block3f_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3f_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m480\u001b[0m)     │         \u001b[38;5;34m0\u001b[0m │ block3f_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block3f_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │     \u001b[38;5;34m9,620\u001b[0m │ block3f_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m20\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m10,080\u001b[0m │ block3f_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3f_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m480\u001b[0m)            │           │ block3f_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │    \u001b[38;5;34m38,400\u001b[0m │ block3f_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m80\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │       \u001b[38;5;34m320\u001b[0m │ block3f_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m80\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3f_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m80\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3f_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3f_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m80\u001b[0m)             │           │ block3e_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │    \u001b[38;5;34m38,400\u001b[0m │ block3f_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │     \u001b[38;5;34m1,920\u001b[0m │ block3g_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3g_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │    \u001b[38;5;34m12,000\u001b[0m │ block3g_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │     \u001b[38;5;34m1,920\u001b[0m │ block3g_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3g_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m480\u001b[0m)     │         \u001b[38;5;34m0\u001b[0m │ block3g_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block3g_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │     \u001b[38;5;34m9,620\u001b[0m │ block3g_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m20\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m10,080\u001b[0m │ block3g_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3g_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m480\u001b[0m)            │           │ block3g_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │    \u001b[38;5;34m38,400\u001b[0m │ block3g_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m80\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │       \u001b[38;5;34m320\u001b[0m │ block3g_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m80\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3g_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m80\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block3g_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block3g_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m80\u001b[0m)             │           │ block3f_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4a_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │    \u001b[38;5;34m38,400\u001b[0m │ block3g_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4a_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │     \u001b[38;5;34m1,920\u001b[0m │ block4a_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4a_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4a_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4a_dwconv_p… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m29\u001b[0m, \u001b[38;5;34m29\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4a_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mZeroPadding2D\u001b[0m)   │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4a_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m4,320\u001b[0m │ block4a_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4a_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m1,920\u001b[0m │ block4a_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4a_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4a_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4a_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m480\u001b[0m)     │         \u001b[38;5;34m0\u001b[0m │ block4a_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4a_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block4a_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4a_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │     \u001b[38;5;34m9,620\u001b[0m │ block4a_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m20\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4a_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m10,080\u001b[0m │ block4a_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m480\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4a_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4a_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m480\u001b[0m)            │           │ block4a_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4a_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │    \u001b[38;5;34m76,800\u001b[0m │ block4a_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4a_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │       \u001b[38;5;34m640\u001b[0m │ block4a_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m153,600\u001b[0m │ block4a_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m3,840\u001b[0m │ block4b_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4b_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m8,640\u001b[0m │ block4b_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m3,840\u001b[0m │ block4b_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4b_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m960\u001b[0m)     │         \u001b[38;5;34m0\u001b[0m │ block4b_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block4b_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m38,440\u001b[0m │ block4b_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m40\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m39,360\u001b[0m │ block4b_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4b_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m960\u001b[0m)            │           │ block4b_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m153,600\u001b[0m │ block4b_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │       \u001b[38;5;34m640\u001b[0m │ block4b_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4b_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4b_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4b_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m160\u001b[0m)            │           │ block4a_proje… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m153,600\u001b[0m │ block4b_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m3,840\u001b[0m │ block4c_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4c_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m8,640\u001b[0m │ block4c_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m3,840\u001b[0m │ block4c_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4c_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m960\u001b[0m)     │         \u001b[38;5;34m0\u001b[0m │ block4c_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block4c_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m38,440\u001b[0m │ block4c_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m40\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m39,360\u001b[0m │ block4c_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4c_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m960\u001b[0m)            │           │ block4c_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m153,600\u001b[0m │ block4c_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │       \u001b[38;5;34m640\u001b[0m │ block4c_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4c_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4c_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4c_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m160\u001b[0m)            │           │ block4b_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m153,600\u001b[0m │ block4c_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m3,840\u001b[0m │ block4d_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4d_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m8,640\u001b[0m │ block4d_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m3,840\u001b[0m │ block4d_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4d_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m960\u001b[0m)     │         \u001b[38;5;34m0\u001b[0m │ block4d_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block4d_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m38,440\u001b[0m │ block4d_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m40\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m39,360\u001b[0m │ block4d_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4d_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m960\u001b[0m)            │           │ block4d_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m153,600\u001b[0m │ block4d_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │       \u001b[38;5;34m640\u001b[0m │ block4d_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4d_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4d_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4d_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m160\u001b[0m)            │           │ block4c_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m153,600\u001b[0m │ block4d_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m3,840\u001b[0m │ block4e_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4e_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m8,640\u001b[0m │ block4e_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m3,840\u001b[0m │ block4e_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4e_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m960\u001b[0m)     │         \u001b[38;5;34m0\u001b[0m │ block4e_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block4e_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m38,440\u001b[0m │ block4e_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m40\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m39,360\u001b[0m │ block4e_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4e_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m960\u001b[0m)            │           │ block4e_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m153,600\u001b[0m │ block4e_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │       \u001b[38;5;34m640\u001b[0m │ block4e_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4e_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4e_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4e_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m160\u001b[0m)            │           │ block4d_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m153,600\u001b[0m │ block4e_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m3,840\u001b[0m │ block4f_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4f_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m8,640\u001b[0m │ block4f_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m3,840\u001b[0m │ block4f_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4f_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m960\u001b[0m)     │         \u001b[38;5;34m0\u001b[0m │ block4f_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block4f_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m38,440\u001b[0m │ block4f_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m40\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m39,360\u001b[0m │ block4f_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4f_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m960\u001b[0m)            │           │ block4f_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m153,600\u001b[0m │ block4f_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │       \u001b[38;5;34m640\u001b[0m │ block4f_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4f_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4f_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4f_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m160\u001b[0m)            │           │ block4e_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m153,600\u001b[0m │ block4f_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m3,840\u001b[0m │ block4g_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4g_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m8,640\u001b[0m │ block4g_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m3,840\u001b[0m │ block4g_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4g_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m960\u001b[0m)     │         \u001b[38;5;34m0\u001b[0m │ block4g_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block4g_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m38,440\u001b[0m │ block4g_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m40\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m39,360\u001b[0m │ block4g_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4g_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m960\u001b[0m)            │           │ block4g_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m153,600\u001b[0m │ block4g_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │       \u001b[38;5;34m640\u001b[0m │ block4g_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4g_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4g_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4g_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m160\u001b[0m)            │           │ block4f_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m153,600\u001b[0m │ block4g_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m3,840\u001b[0m │ block4h_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4h_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m8,640\u001b[0m │ block4h_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m3,840\u001b[0m │ block4h_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4h_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m960\u001b[0m)     │         \u001b[38;5;34m0\u001b[0m │ block4h_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block4h_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m38,440\u001b[0m │ block4h_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m40\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m39,360\u001b[0m │ block4h_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4h_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m960\u001b[0m)            │           │ block4h_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m153,600\u001b[0m │ block4h_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │       \u001b[38;5;34m640\u001b[0m │ block4h_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4h_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4h_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4h_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m160\u001b[0m)            │           │ block4g_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m153,600\u001b[0m │ block4h_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m3,840\u001b[0m │ block4i_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4i_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m8,640\u001b[0m │ block4i_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m3,840\u001b[0m │ block4i_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4i_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m960\u001b[0m)     │         \u001b[38;5;34m0\u001b[0m │ block4i_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block4i_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m38,440\u001b[0m │ block4i_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m40\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m39,360\u001b[0m │ block4i_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4i_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m960\u001b[0m)            │           │ block4i_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m153,600\u001b[0m │ block4i_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │       \u001b[38;5;34m640\u001b[0m │ block4i_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4i_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4i_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4i_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m160\u001b[0m)            │           │ block4h_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m153,600\u001b[0m │ block4i_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m3,840\u001b[0m │ block4j_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4j_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m8,640\u001b[0m │ block4j_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m3,840\u001b[0m │ block4j_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4j_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m960\u001b[0m)     │         \u001b[38;5;34m0\u001b[0m │ block4j_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block4j_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m38,440\u001b[0m │ block4j_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m40\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m39,360\u001b[0m │ block4j_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4j_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m960\u001b[0m)            │           │ block4j_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m153,600\u001b[0m │ block4j_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │       \u001b[38;5;34m640\u001b[0m │ block4j_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4j_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block4j_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block4j_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m160\u001b[0m)            │           │ block4i_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5a_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m153,600\u001b[0m │ block4j_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5a_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m3,840\u001b[0m │ block5a_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5a_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5a_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5a_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │    \u001b[38;5;34m24,000\u001b[0m │ block5a_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5a_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m3,840\u001b[0m │ block5a_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5a_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5a_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5a_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m960\u001b[0m)     │         \u001b[38;5;34m0\u001b[0m │ block5a_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5a_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block5a_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5a_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m38,440\u001b[0m │ block5a_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m40\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5a_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m39,360\u001b[0m │ block5a_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m960\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5a_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5a_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m960\u001b[0m)            │           │ block5a_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5a_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m215,040\u001b[0m │ block5a_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5a_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │       \u001b[38;5;34m896\u001b[0m │ block5a_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m301,056\u001b[0m │ block5a_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m5,376\u001b[0m │ block5b_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5b_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │    \u001b[38;5;34m33,600\u001b[0m │ block5b_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m5,376\u001b[0m │ block5b_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5b_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1344\u001b[0m)    │         \u001b[38;5;34m0\u001b[0m │ block5b_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block5b_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m75,320\u001b[0m │ block5b_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m56\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m76,608\u001b[0m │ block5b_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5b_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m1344\u001b[0m)           │           │ block5b_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m301,056\u001b[0m │ block5b_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │       \u001b[38;5;34m896\u001b[0m │ block5b_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5b_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5b_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5b_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m224\u001b[0m)            │           │ block5a_proje… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m301,056\u001b[0m │ block5b_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m5,376\u001b[0m │ block5c_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5c_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │    \u001b[38;5;34m33,600\u001b[0m │ block5c_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m5,376\u001b[0m │ block5c_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5c_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1344\u001b[0m)    │         \u001b[38;5;34m0\u001b[0m │ block5c_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block5c_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m75,320\u001b[0m │ block5c_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m56\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m76,608\u001b[0m │ block5c_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5c_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m1344\u001b[0m)           │           │ block5c_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m301,056\u001b[0m │ block5c_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │       \u001b[38;5;34m896\u001b[0m │ block5c_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5c_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5c_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5c_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m224\u001b[0m)            │           │ block5b_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m301,056\u001b[0m │ block5c_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m5,376\u001b[0m │ block5d_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5d_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │    \u001b[38;5;34m33,600\u001b[0m │ block5d_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m5,376\u001b[0m │ block5d_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5d_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1344\u001b[0m)    │         \u001b[38;5;34m0\u001b[0m │ block5d_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block5d_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m75,320\u001b[0m │ block5d_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m56\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m76,608\u001b[0m │ block5d_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5d_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m1344\u001b[0m)           │           │ block5d_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m301,056\u001b[0m │ block5d_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │       \u001b[38;5;34m896\u001b[0m │ block5d_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5d_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5d_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5d_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m224\u001b[0m)            │           │ block5c_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m301,056\u001b[0m │ block5d_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m5,376\u001b[0m │ block5e_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5e_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │    \u001b[38;5;34m33,600\u001b[0m │ block5e_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m5,376\u001b[0m │ block5e_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5e_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1344\u001b[0m)    │         \u001b[38;5;34m0\u001b[0m │ block5e_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block5e_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m75,320\u001b[0m │ block5e_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m56\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m76,608\u001b[0m │ block5e_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5e_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m1344\u001b[0m)           │           │ block5e_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m301,056\u001b[0m │ block5e_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │       \u001b[38;5;34m896\u001b[0m │ block5e_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5e_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5e_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5e_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m224\u001b[0m)            │           │ block5d_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m301,056\u001b[0m │ block5e_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m5,376\u001b[0m │ block5f_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5f_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │    \u001b[38;5;34m33,600\u001b[0m │ block5f_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m5,376\u001b[0m │ block5f_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5f_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1344\u001b[0m)    │         \u001b[38;5;34m0\u001b[0m │ block5f_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block5f_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m75,320\u001b[0m │ block5f_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m56\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m76,608\u001b[0m │ block5f_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5f_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m1344\u001b[0m)           │           │ block5f_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m301,056\u001b[0m │ block5f_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │       \u001b[38;5;34m896\u001b[0m │ block5f_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5f_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5f_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5f_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m224\u001b[0m)            │           │ block5e_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m301,056\u001b[0m │ block5f_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m5,376\u001b[0m │ block5g_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5g_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │    \u001b[38;5;34m33,600\u001b[0m │ block5g_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m5,376\u001b[0m │ block5g_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5g_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1344\u001b[0m)    │         \u001b[38;5;34m0\u001b[0m │ block5g_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block5g_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m75,320\u001b[0m │ block5g_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m56\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m76,608\u001b[0m │ block5g_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5g_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m1344\u001b[0m)           │           │ block5g_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m301,056\u001b[0m │ block5g_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │       \u001b[38;5;34m896\u001b[0m │ block5g_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5g_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5g_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5g_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m224\u001b[0m)            │           │ block5f_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m301,056\u001b[0m │ block5g_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m5,376\u001b[0m │ block5h_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5h_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │    \u001b[38;5;34m33,600\u001b[0m │ block5h_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m5,376\u001b[0m │ block5h_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5h_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1344\u001b[0m)    │         \u001b[38;5;34m0\u001b[0m │ block5h_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block5h_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m75,320\u001b[0m │ block5h_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m56\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m76,608\u001b[0m │ block5h_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5h_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m1344\u001b[0m)           │           │ block5h_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m301,056\u001b[0m │ block5h_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │       \u001b[38;5;34m896\u001b[0m │ block5h_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5h_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5h_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5h_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m224\u001b[0m)            │           │ block5g_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m301,056\u001b[0m │ block5h_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m5,376\u001b[0m │ block5i_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5i_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │    \u001b[38;5;34m33,600\u001b[0m │ block5i_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m5,376\u001b[0m │ block5i_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5i_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1344\u001b[0m)    │         \u001b[38;5;34m0\u001b[0m │ block5i_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block5i_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m75,320\u001b[0m │ block5i_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m56\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m76,608\u001b[0m │ block5i_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5i_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m1344\u001b[0m)           │           │ block5i_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m301,056\u001b[0m │ block5i_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │       \u001b[38;5;34m896\u001b[0m │ block5i_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5i_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5i_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5i_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m224\u001b[0m)            │           │ block5h_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m301,056\u001b[0m │ block5i_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m5,376\u001b[0m │ block5j_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5j_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │    \u001b[38;5;34m33,600\u001b[0m │ block5j_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m5,376\u001b[0m │ block5j_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5j_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1344\u001b[0m)    │         \u001b[38;5;34m0\u001b[0m │ block5j_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block5j_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m75,320\u001b[0m │ block5j_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m56\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m76,608\u001b[0m │ block5j_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5j_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m1344\u001b[0m)           │           │ block5j_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m301,056\u001b[0m │ block5j_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │       \u001b[38;5;34m896\u001b[0m │ block5j_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5j_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m224\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block5j_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block5j_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m224\u001b[0m)            │           │ block5i_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6a_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │   \u001b[38;5;34m301,056\u001b[0m │ block5j_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6a_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │     \u001b[38;5;34m5,376\u001b[0m │ block6a_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6a_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block6a_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6a_dwconv_p… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m17\u001b[0m, \u001b[38;5;34m17\u001b[0m,  │         \u001b[38;5;34m0\u001b[0m │ block6a_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mZeroPadding2D\u001b[0m)   │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6a_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │    \u001b[38;5;34m33,600\u001b[0m │ block6a_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6a_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m5,376\u001b[0m │ block6a_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6a_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6a_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6a_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1344\u001b[0m)    │         \u001b[38;5;34m0\u001b[0m │ block6a_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6a_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6a_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6a_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m75,320\u001b[0m │ block6a_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m56\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6a_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │    \u001b[38;5;34m76,608\u001b[0m │ block6a_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m1344\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6a_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6a_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m1344\u001b[0m)           │           │ block6a_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6a_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │   \u001b[38;5;34m516,096\u001b[0m │ block6a_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6a_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m1,536\u001b[0m │ block6a_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │   \u001b[38;5;34m884,736\u001b[0m │ block6a_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m9,216\u001b[0m │ block6b_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6b_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │    \u001b[38;5;34m57,600\u001b[0m │ block6b_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m9,216\u001b[0m │ block6b_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6b_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2304\u001b[0m)    │         \u001b[38;5;34m0\u001b[0m │ block6b_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6b_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m221,280\u001b[0m │ block6b_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m96\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m223,488\u001b[0m │ block6b_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6b_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m2304\u001b[0m)           │           │ block6b_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │   \u001b[38;5;34m884,736\u001b[0m │ block6b_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m1,536\u001b[0m │ block6b_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6b_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6b_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6b_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m384\u001b[0m)            │           │ block6a_proje… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │   \u001b[38;5;34m884,736\u001b[0m │ block6b_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m9,216\u001b[0m │ block6c_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6c_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │    \u001b[38;5;34m57,600\u001b[0m │ block6c_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m9,216\u001b[0m │ block6c_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6c_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2304\u001b[0m)    │         \u001b[38;5;34m0\u001b[0m │ block6c_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6c_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m221,280\u001b[0m │ block6c_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m96\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m223,488\u001b[0m │ block6c_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6c_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m2304\u001b[0m)           │           │ block6c_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │   \u001b[38;5;34m884,736\u001b[0m │ block6c_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m1,536\u001b[0m │ block6c_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6c_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6c_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6c_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m384\u001b[0m)            │           │ block6b_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │   \u001b[38;5;34m884,736\u001b[0m │ block6c_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m9,216\u001b[0m │ block6d_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6d_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │    \u001b[38;5;34m57,600\u001b[0m │ block6d_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m9,216\u001b[0m │ block6d_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6d_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2304\u001b[0m)    │         \u001b[38;5;34m0\u001b[0m │ block6d_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6d_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m221,280\u001b[0m │ block6d_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m96\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m223,488\u001b[0m │ block6d_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6d_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m2304\u001b[0m)           │           │ block6d_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │   \u001b[38;5;34m884,736\u001b[0m │ block6d_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m1,536\u001b[0m │ block6d_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6d_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6d_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6d_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m384\u001b[0m)            │           │ block6c_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │   \u001b[38;5;34m884,736\u001b[0m │ block6d_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m9,216\u001b[0m │ block6e_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6e_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │    \u001b[38;5;34m57,600\u001b[0m │ block6e_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m9,216\u001b[0m │ block6e_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6e_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2304\u001b[0m)    │         \u001b[38;5;34m0\u001b[0m │ block6e_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6e_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m221,280\u001b[0m │ block6e_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m96\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m223,488\u001b[0m │ block6e_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6e_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m2304\u001b[0m)           │           │ block6e_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │   \u001b[38;5;34m884,736\u001b[0m │ block6e_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m1,536\u001b[0m │ block6e_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6e_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6e_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6e_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m384\u001b[0m)            │           │ block6d_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │   \u001b[38;5;34m884,736\u001b[0m │ block6e_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m9,216\u001b[0m │ block6f_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6f_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │    \u001b[38;5;34m57,600\u001b[0m │ block6f_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m9,216\u001b[0m │ block6f_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6f_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2304\u001b[0m)    │         \u001b[38;5;34m0\u001b[0m │ block6f_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6f_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m221,280\u001b[0m │ block6f_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m96\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m223,488\u001b[0m │ block6f_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6f_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m2304\u001b[0m)           │           │ block6f_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │   \u001b[38;5;34m884,736\u001b[0m │ block6f_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m1,536\u001b[0m │ block6f_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6f_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6f_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6f_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m384\u001b[0m)            │           │ block6e_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │   \u001b[38;5;34m884,736\u001b[0m │ block6f_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m9,216\u001b[0m │ block6g_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6g_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │    \u001b[38;5;34m57,600\u001b[0m │ block6g_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m9,216\u001b[0m │ block6g_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6g_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2304\u001b[0m)    │         \u001b[38;5;34m0\u001b[0m │ block6g_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6g_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m221,280\u001b[0m │ block6g_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m96\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m223,488\u001b[0m │ block6g_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6g_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m2304\u001b[0m)           │           │ block6g_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │   \u001b[38;5;34m884,736\u001b[0m │ block6g_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m1,536\u001b[0m │ block6g_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6g_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6g_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6g_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m384\u001b[0m)            │           │ block6f_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │   \u001b[38;5;34m884,736\u001b[0m │ block6g_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m9,216\u001b[0m │ block6h_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6h_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │    \u001b[38;5;34m57,600\u001b[0m │ block6h_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m9,216\u001b[0m │ block6h_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6h_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2304\u001b[0m)    │         \u001b[38;5;34m0\u001b[0m │ block6h_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6h_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m221,280\u001b[0m │ block6h_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m96\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m223,488\u001b[0m │ block6h_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6h_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m2304\u001b[0m)           │           │ block6h_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │   \u001b[38;5;34m884,736\u001b[0m │ block6h_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m1,536\u001b[0m │ block6h_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6h_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6h_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6h_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m384\u001b[0m)            │           │ block6g_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │   \u001b[38;5;34m884,736\u001b[0m │ block6h_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m9,216\u001b[0m │ block6i_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6i_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │    \u001b[38;5;34m57,600\u001b[0m │ block6i_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m9,216\u001b[0m │ block6i_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6i_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2304\u001b[0m)    │         \u001b[38;5;34m0\u001b[0m │ block6i_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6i_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m221,280\u001b[0m │ block6i_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m96\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m223,488\u001b[0m │ block6i_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6i_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m2304\u001b[0m)           │           │ block6i_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │   \u001b[38;5;34m884,736\u001b[0m │ block6i_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m1,536\u001b[0m │ block6i_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6i_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6i_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6i_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m384\u001b[0m)            │           │ block6h_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │   \u001b[38;5;34m884,736\u001b[0m │ block6i_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m9,216\u001b[0m │ block6j_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6j_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │    \u001b[38;5;34m57,600\u001b[0m │ block6j_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m9,216\u001b[0m │ block6j_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6j_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2304\u001b[0m)    │         \u001b[38;5;34m0\u001b[0m │ block6j_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6j_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m221,280\u001b[0m │ block6j_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m96\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m223,488\u001b[0m │ block6j_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6j_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m2304\u001b[0m)           │           │ block6j_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │   \u001b[38;5;34m884,736\u001b[0m │ block6j_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m1,536\u001b[0m │ block6j_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6j_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6j_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6j_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m384\u001b[0m)            │           │ block6i_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │   \u001b[38;5;34m884,736\u001b[0m │ block6j_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m9,216\u001b[0m │ block6k_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6k_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │    \u001b[38;5;34m57,600\u001b[0m │ block6k_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m9,216\u001b[0m │ block6k_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6k_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2304\u001b[0m)    │         \u001b[38;5;34m0\u001b[0m │ block6k_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6k_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m221,280\u001b[0m │ block6k_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m96\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m223,488\u001b[0m │ block6k_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6k_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m2304\u001b[0m)           │           │ block6k_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │   \u001b[38;5;34m884,736\u001b[0m │ block6k_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m1,536\u001b[0m │ block6k_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6k_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6k_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6k_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m384\u001b[0m)            │           │ block6j_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │   \u001b[38;5;34m884,736\u001b[0m │ block6k_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m9,216\u001b[0m │ block6l_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6l_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │    \u001b[38;5;34m57,600\u001b[0m │ block6l_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m9,216\u001b[0m │ block6l_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6l_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2304\u001b[0m)    │         \u001b[38;5;34m0\u001b[0m │ block6l_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6l_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m221,280\u001b[0m │ block6l_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m96\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m223,488\u001b[0m │ block6l_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6l_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m2304\u001b[0m)           │           │ block6l_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │   \u001b[38;5;34m884,736\u001b[0m │ block6l_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m1,536\u001b[0m │ block6l_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6l_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6l_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6l_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m384\u001b[0m)            │           │ block6k_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │   \u001b[38;5;34m884,736\u001b[0m │ block6l_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m9,216\u001b[0m │ block6m_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6m_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │    \u001b[38;5;34m57,600\u001b[0m │ block6m_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m9,216\u001b[0m │ block6m_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6m_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2304\u001b[0m)    │         \u001b[38;5;34m0\u001b[0m │ block6m_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6m_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m221,280\u001b[0m │ block6m_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m96\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m223,488\u001b[0m │ block6m_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6m_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m2304\u001b[0m)           │           │ block6m_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │   \u001b[38;5;34m884,736\u001b[0m │ block6m_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m1,536\u001b[0m │ block6m_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6m_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m384\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block6m_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block6m_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m384\u001b[0m)            │           │ block6l_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7a_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │   \u001b[38;5;34m884,736\u001b[0m │ block6m_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7a_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m9,216\u001b[0m │ block7a_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7a_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block7a_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7a_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │    \u001b[38;5;34m20,736\u001b[0m │ block7a_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7a_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m9,216\u001b[0m │ block7a_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7a_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block7a_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7a_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2304\u001b[0m)    │         \u001b[38;5;34m0\u001b[0m │ block7a_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7a_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block7a_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7a_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m221,280\u001b[0m │ block7a_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m96\u001b[0m)             │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7a_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m223,488\u001b[0m │ block7a_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m2304\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7a_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block7a_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m2304\u001b[0m)           │           │ block7a_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7a_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │ \u001b[38;5;34m1,474,560\u001b[0m │ block7a_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m640\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7a_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m2,560\u001b[0m │ block7a_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m640\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │ \u001b[38;5;34m2,457,600\u001b[0m │ block7a_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m3840\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │    \u001b[38;5;34m15,360\u001b[0m │ block7b_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m3840\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block7b_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m3840\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │    \u001b[38;5;34m34,560\u001b[0m │ block7b_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m3840\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │    \u001b[38;5;34m15,360\u001b[0m │ block7b_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m3840\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block7b_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m3840\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m3840\u001b[0m)    │         \u001b[38;5;34m0\u001b[0m │ block7b_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block7b_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m3840\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m614,560\u001b[0m │ block7b_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m618,240\u001b[0m │ block7b_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m3840\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block7b_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m3840\u001b[0m)           │           │ block7b_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │ \u001b[38;5;34m2,457,600\u001b[0m │ block7b_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m640\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m2,560\u001b[0m │ block7b_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m640\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block7b_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m640\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7b_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block7b_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m640\u001b[0m)            │           │ block7a_proje… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │ \u001b[38;5;34m2,457,600\u001b[0m │ block7b_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m3840\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │    \u001b[38;5;34m15,360\u001b[0m │ block7c_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m3840\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block7c_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m3840\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │    \u001b[38;5;34m34,560\u001b[0m │ block7c_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m3840\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │    \u001b[38;5;34m15,360\u001b[0m │ block7c_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m3840\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block7c_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m3840\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m3840\u001b[0m)    │         \u001b[38;5;34m0\u001b[0m │ block7c_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block7c_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m3840\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m614,560\u001b[0m │ block7c_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m618,240\u001b[0m │ block7c_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m3840\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block7c_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m3840\u001b[0m)           │           │ block7c_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │ \u001b[38;5;34m2,457,600\u001b[0m │ block7c_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m640\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m2,560\u001b[0m │ block7c_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m640\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block7c_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m640\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7c_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block7c_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m640\u001b[0m)            │           │ block7b_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_expand_c… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │ \u001b[38;5;34m2,457,600\u001b[0m │ block7c_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m3840\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_expand_bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │    \u001b[38;5;34m15,360\u001b[0m │ block7d_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m3840\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_expand_a… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block7d_expan… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m3840\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_dwconv    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │    \u001b[38;5;34m34,560\u001b[0m │ block7d_expan… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m) │ \u001b[38;5;34m3840\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_bn        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │    \u001b[38;5;34m15,360\u001b[0m │ block7d_dwcon… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m3840\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_activati… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block7d_bn[\u001b[38;5;34m0\u001b[0m]… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m3840\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_se_squee… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m3840\u001b[0m)    │         \u001b[38;5;34m0\u001b[0m │ block7d_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_se_resha… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block7d_se_sq… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mReshape\u001b[0m)         │ \u001b[38;5;34m3840\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_se_reduce │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m614,560\u001b[0m │ block7d_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m160\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_se_expand │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m,    │   \u001b[38;5;34m618,240\u001b[0m │ block7d_se_re… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m3840\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_se_excite │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block7d_activ… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mMultiply\u001b[0m)        │ \u001b[38;5;34m3840\u001b[0m)           │           │ block7d_se_ex… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │ \u001b[38;5;34m2,457,600\u001b[0m │ block7d_se_ex… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mConv2D\u001b[0m)          │ \u001b[38;5;34m640\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_project_… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │     \u001b[38;5;34m2,560\u001b[0m │ block7d_proje… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m640\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_drop      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block7d_proje… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │ \u001b[38;5;34m640\u001b[0m)            │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ block7d_add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ block7d_drop[\u001b[38;5;34m…\u001b[0m │   \u001b[1m-\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m640\u001b[0m)            │           │ block7c_add[\u001b[38;5;34m0\u001b[0m… │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ top_conv (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │ \u001b[38;5;34m1,638,400\u001b[0m │ block7d_add[\u001b[38;5;34m0\u001b[0m… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│                   │ \u001b[38;5;34m2560\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ top_bn            │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │    \u001b[38;5;34m10,240\u001b[0m │ top_conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │ \u001b[38;5;34m2560\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ top_activation    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │ top_bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]   │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mActivation\u001b[0m)      │ \u001b[38;5;34m2560\u001b[0m)           │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ FC_INPUT_Avg-Poo… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2560\u001b[0m)    │         \u001b[38;5;34m0\u001b[0m │ top_activatio… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mGlobalAveragePo…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ FC_C_Dense-L1-512 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m)     │ \u001b[38;5;34m1,311,232\u001b[0m │ FC_INPUT_Avg-… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDense\u001b[0m)           │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ FC_C_Dropout-L1-… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m)     │         \u001b[38;5;34m0\u001b[0m │ FC_C_Dense-L1… │   \u001b[1m-\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDropout\u001b[0m)         │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ FC_C_Avg-BatchNo… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m)     │     \u001b[38;5;34m2,048\u001b[0m │ FC_C_Dropout-… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ FC_C_Dense-L2-512 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)     │   \u001b[38;5;34m131,328\u001b[0m │ FC_C_Avg-Batc… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDense\u001b[0m)           │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ FC_C_Avg-BatchNo… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)     │     \u001b[38;5;34m1,024\u001b[0m │ FC_C_Dense-L2… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mBatchNormalizat…\u001b[0m │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ FC_C_Dense-L3-128 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)     │    \u001b[38;5;34m32,896\u001b[0m │ FC_C_Avg-Batc… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDense\u001b[0m)           │                 │           │                │       │\n",
+       "├───────────────────┼─────────────────┼───────────┼────────────────┼───────┤\n",
+       "│ FC_OUTPUT_Dense-2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2\u001b[0m)       │       \u001b[38;5;34m258\u001b[0m │ FC_C_Dense-L3… │   \u001b[1;38;5;34mY\u001b[0m   │\n",
+       "│ (\u001b[38;5;33mDense\u001b[0m)           │                 │           │                │       │\n",
+       "└───────────────────┴─────────────────┴───────────┴────────────────┴───────┘\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">65,576,473</span> (250.15 MB)\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m65,576,473\u001b[0m (250.15 MB)\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">65,264,210</span> (248.96 MB)\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m65,264,210\u001b[0m (248.96 MB)\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">312,263</span> (1.19 MB)\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m312,263\u001b[0m (1.19 MB)\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "done.\n"
      ]
     }
    ],
    "source": [
+    "from keras.applications import EfficientNetB7\n",
     "# FUNC\n",
-    "def Eff_B7_NS(freeze_layers):\n",
-    "    base_model = KENB7(\n",
+    "def Eff_B7_NS():\n",
+    "    base_model = EfficientNetB7(\n",
     "        input_shape=(img_res[0], img_res[1], img_res[2]),\n",
-    "        weights=\"noisy-student\",\n",
+    "        weights=None,\n",
     "        include_top=False,\n",
     "    )\n",
-    "    print(\"Total layers in the base model: \", len(base_model.layers))\n",
-    "    print(f\"Freezing {freeze_layers} layers in the base model...\")\n",
-    "    # Freeze the specified number of layers\n",
-    "    for layer in base_model.layers[:freeze_layers]:\n",
-    "        layer.trainable = False\n",
-    "\n",
-    "    # Unfreeze the rest\n",
-    "    for layer in base_model.layers[freeze_layers:]:\n",
-    "        layer.trainable = True\n",
-    "\n",
-    "    # Calculate the percentage of the model that is frozen\n",
-    "    frozen_percentage = ((freeze_layers + 1e-10) / len(base_model.layers)) * 100\n",
-    "    print(f\"Percentage of the base model that is frozen: {frozen_percentage:.2f}%\")\n",
+    "    base_model.load_weights(\"download\\Models\\efficientnet-b7_noisy-student_notop.h5\", skip_mismatch=True, by_name=True)\n",
     "    # adding CDL>>>\n",
     "    # GlobalAveragePooling2D\n",
     "    base_model_FT = GlobalAveragePooling2D(name=\"FC_INPUT_Avg-Pooling\")(base_model.output)\n",
@@ -3759,7 +6575,7 @@
     "    model_EfficientNetB7_NS = Model(inputs=base_model.input, outputs=predictions)\n",
     "    print(\"Total model layers: \", len(model_EfficientNetB7_NS.layers))\n",
     "    # OPT/compile\n",
-    "    opt = SGD(momentum=0.86, learning_rate=0.01, nesterov=False)  # noqa: F405\n",
+    "    opt = SGD(momentum=0.9, nesterov=False, use_ema=True)  # noqa: F405\n",
     "    # opt = Nadam() # noqa: F405\n",
     "    # opt = Adamax() # noqa: F405\n",
     "    # opt = Adam(amsgrad=True) # noqa: F405\n",
@@ -3777,7 +6593,7 @@
     "print(\"Creating the model...\")\n",
     "# Main\n",
     "freeze_layers = 0\n",
-    "model = Eff_B7_NS(freeze_layers)\n",
+    "model = Eff_B7_NS()\n",
     "model.summary(show_trainable=True, expand_nested=True)\n",
     "print(\"done.\")"
    ]
@@ -3791,56 +6607,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finding best initial lr over 256 steps\n"
-     ]
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "64af37c2d330409898076c8cab9c0be6",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "  0%|          | 0/256 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "LR Finder is complete, type {LrFinder}.plot_lrs() to see the graph.\n",
-      "Min numerical gradient: 3.31E-01\n",
-      "Min loss divided by 10: 4.20E-03\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import gc\n",
     "\n",
     "# Garbage Collection (memory)\n",
     "gc.collect()\n",
-    "tf.keras.backend.clear_session()\n",
+    "keras.backend.clear_session()\n",
     "# CONF/Other\n",
     "LRF_OPT = SGD(momentum=0.92)  # noqa: F405\n",
     "LFR_batch_size = 16  # or any other batch size that fits in your memory\n",
@@ -3889,2163 +6664,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\u001b[92mLoading model done.\n",
-      "Compiling the AI model...\u001b[0m\n",
-      "Model: \"model\"\n",
-      "_____________________________________________________________________________________________________________\n",
-      " Layer (type)                   Output Shape         Param #     Connected to                     Trainable  \n",
-      "=============================================================================================================\n",
-      " input_1 (InputLayer)           [(None, 224, 224, 3  0           []                               Y          \n",
-      "                                )]                                                                           \n",
-      "                                                                                                             \n",
-      " stem_conv (Conv2D)             (None, 112, 112, 64  1728        ['input_1[0][0]']                Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " stem_bn (BatchNormalization)   (None, 112, 112, 64  256         ['stem_conv[0][0]']              Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " stem_activation (Activation)   (None, 112, 112, 64  0           ['stem_bn[0][0]']                Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block1a_dwconv (DepthwiseConv2  (None, 112, 112, 64  576        ['stem_activation[0][0]']        Y          \n",
-      " D)                             )                                                                            \n",
-      "                                                                                                             \n",
-      " block1a_bn (BatchNormalization  (None, 112, 112, 64  256        ['block1a_dwconv[0][0]']         Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block1a_activation (Activation  (None, 112, 112, 64  0          ['block1a_bn[0][0]']             Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block1a_se_squeeze (GlobalAver  (None, 64)          0           ['block1a_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block1a_se_reshape (Reshape)   (None, 1, 1, 64)     0           ['block1a_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block1a_se_reduce (Conv2D)     (None, 1, 1, 16)     1040        ['block1a_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block1a_se_expand (Conv2D)     (None, 1, 1, 64)     1088        ['block1a_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block1a_se_excite (Multiply)   (None, 112, 112, 64  0           ['block1a_activation[0][0]',     Y          \n",
-      "                                )                                 'block1a_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block1a_project_conv (Conv2D)  (None, 112, 112, 32  2048        ['block1a_se_excite[0][0]']      Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block1a_project_bn (BatchNorma  (None, 112, 112, 32  128        ['block1a_project_conv[0][0]']   Y          \n",
-      " lization)                      )                                                                            \n",
-      "                                                                                                             \n",
-      " block1b_dwconv (DepthwiseConv2  (None, 112, 112, 32  288        ['block1a_project_bn[0][0]']     Y          \n",
-      " D)                             )                                                                            \n",
-      "                                                                                                             \n",
-      " block1b_bn (BatchNormalization  (None, 112, 112, 32  128        ['block1b_dwconv[0][0]']         Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block1b_activation (Activation  (None, 112, 112, 32  0          ['block1b_bn[0][0]']             Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block1b_se_squeeze (GlobalAver  (None, 32)          0           ['block1b_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block1b_se_reshape (Reshape)   (None, 1, 1, 32)     0           ['block1b_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block1b_se_reduce (Conv2D)     (None, 1, 1, 8)      264         ['block1b_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block1b_se_expand (Conv2D)     (None, 1, 1, 32)     288         ['block1b_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block1b_se_excite (Multiply)   (None, 112, 112, 32  0           ['block1b_activation[0][0]',     Y          \n",
-      "                                )                                 'block1b_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block1b_project_conv (Conv2D)  (None, 112, 112, 32  1024        ['block1b_se_excite[0][0]']      Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block1b_project_bn (BatchNorma  (None, 112, 112, 32  128        ['block1b_project_conv[0][0]']   Y          \n",
-      " lization)                      )                                                                            \n",
-      "                                                                                                             \n",
-      " block1b_drop (FixedDropout)    (None, 112, 112, 32  0           ['block1b_project_bn[0][0]']     Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block1b_add (Add)              (None, 112, 112, 32  0           ['block1b_drop[0][0]',           Y          \n",
-      "                                )                                 'block1a_project_bn[0][0]']                \n",
-      "                                                                                                             \n",
-      " block1c_dwconv (DepthwiseConv2  (None, 112, 112, 32  288        ['block1b_add[0][0]']            Y          \n",
-      " D)                             )                                                                            \n",
-      "                                                                                                             \n",
-      " block1c_bn (BatchNormalization  (None, 112, 112, 32  128        ['block1c_dwconv[0][0]']         Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block1c_activation (Activation  (None, 112, 112, 32  0          ['block1c_bn[0][0]']             Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block1c_se_squeeze (GlobalAver  (None, 32)          0           ['block1c_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block1c_se_reshape (Reshape)   (None, 1, 1, 32)     0           ['block1c_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block1c_se_reduce (Conv2D)     (None, 1, 1, 8)      264         ['block1c_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block1c_se_expand (Conv2D)     (None, 1, 1, 32)     288         ['block1c_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block1c_se_excite (Multiply)   (None, 112, 112, 32  0           ['block1c_activation[0][0]',     Y          \n",
-      "                                )                                 'block1c_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block1c_project_conv (Conv2D)  (None, 112, 112, 32  1024        ['block1c_se_excite[0][0]']      Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block1c_project_bn (BatchNorma  (None, 112, 112, 32  128        ['block1c_project_conv[0][0]']   Y          \n",
-      " lization)                      )                                                                            \n",
-      "                                                                                                             \n",
-      " block1c_drop (FixedDropout)    (None, 112, 112, 32  0           ['block1c_project_bn[0][0]']     Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block1c_add (Add)              (None, 112, 112, 32  0           ['block1c_drop[0][0]',           Y          \n",
-      "                                )                                 'block1b_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block1d_dwconv (DepthwiseConv2  (None, 112, 112, 32  288        ['block1c_add[0][0]']            Y          \n",
-      " D)                             )                                                                            \n",
-      "                                                                                                             \n",
-      " block1d_bn (BatchNormalization  (None, 112, 112, 32  128        ['block1d_dwconv[0][0]']         Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block1d_activation (Activation  (None, 112, 112, 32  0          ['block1d_bn[0][0]']             Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block1d_se_squeeze (GlobalAver  (None, 32)          0           ['block1d_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block1d_se_reshape (Reshape)   (None, 1, 1, 32)     0           ['block1d_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block1d_se_reduce (Conv2D)     (None, 1, 1, 8)      264         ['block1d_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block1d_se_expand (Conv2D)     (None, 1, 1, 32)     288         ['block1d_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block1d_se_excite (Multiply)   (None, 112, 112, 32  0           ['block1d_activation[0][0]',     Y          \n",
-      "                                )                                 'block1d_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block1d_project_conv (Conv2D)  (None, 112, 112, 32  1024        ['block1d_se_excite[0][0]']      Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block1d_project_bn (BatchNorma  (None, 112, 112, 32  128        ['block1d_project_conv[0][0]']   Y          \n",
-      " lization)                      )                                                                            \n",
-      "                                                                                                             \n",
-      " block1d_drop (FixedDropout)    (None, 112, 112, 32  0           ['block1d_project_bn[0][0]']     Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block1d_add (Add)              (None, 112, 112, 32  0           ['block1d_drop[0][0]',           Y          \n",
-      "                                )                                 'block1c_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block2a_expand_conv (Conv2D)   (None, 112, 112, 19  6144        ['block1d_add[0][0]']            Y          \n",
-      "                                2)                                                                           \n",
-      "                                                                                                             \n",
-      " block2a_expand_bn (BatchNormal  (None, 112, 112, 19  768        ['block2a_expand_conv[0][0]']    Y          \n",
-      " ization)                       2)                                                                           \n",
-      "                                                                                                             \n",
-      " block2a_expand_activation (Act  (None, 112, 112, 19  0          ['block2a_expand_bn[0][0]']      Y          \n",
-      " ivation)                       2)                                                                           \n",
-      "                                                                                                             \n",
-      " block2a_dwconv (DepthwiseConv2  (None, 56, 56, 192)  1728       ['block2a_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block2a_bn (BatchNormalization  (None, 56, 56, 192)  768        ['block2a_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block2a_activation (Activation  (None, 56, 56, 192)  0          ['block2a_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block2a_se_squeeze (GlobalAver  (None, 192)         0           ['block2a_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block2a_se_reshape (Reshape)   (None, 1, 1, 192)    0           ['block2a_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2a_se_reduce (Conv2D)     (None, 1, 1, 8)      1544        ['block2a_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2a_se_expand (Conv2D)     (None, 1, 1, 192)    1728        ['block2a_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block2a_se_excite (Multiply)   (None, 56, 56, 192)  0           ['block2a_activation[0][0]',     Y          \n",
-      "                                                                  'block2a_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block2a_project_conv (Conv2D)  (None, 56, 56, 48)   9216        ['block2a_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block2a_project_bn (BatchNorma  (None, 56, 56, 48)  192         ['block2a_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block2b_expand_conv (Conv2D)   (None, 56, 56, 288)  13824       ['block2a_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2b_expand_bn (BatchNormal  (None, 56, 56, 288)  1152       ['block2b_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block2b_expand_activation (Act  (None, 56, 56, 288)  0          ['block2b_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block2b_dwconv (DepthwiseConv2  (None, 56, 56, 288)  2592       ['block2b_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block2b_bn (BatchNormalization  (None, 56, 56, 288)  1152       ['block2b_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block2b_activation (Activation  (None, 56, 56, 288)  0          ['block2b_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block2b_se_squeeze (GlobalAver  (None, 288)         0           ['block2b_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block2b_se_reshape (Reshape)   (None, 1, 1, 288)    0           ['block2b_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2b_se_reduce (Conv2D)     (None, 1, 1, 12)     3468        ['block2b_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2b_se_expand (Conv2D)     (None, 1, 1, 288)    3744        ['block2b_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block2b_se_excite (Multiply)   (None, 56, 56, 288)  0           ['block2b_activation[0][0]',     Y          \n",
-      "                                                                  'block2b_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block2b_project_conv (Conv2D)  (None, 56, 56, 48)   13824       ['block2b_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block2b_project_bn (BatchNorma  (None, 56, 56, 48)  192         ['block2b_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block2b_drop (FixedDropout)    (None, 56, 56, 48)   0           ['block2b_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2b_add (Add)              (None, 56, 56, 48)   0           ['block2b_drop[0][0]',           Y          \n",
-      "                                                                  'block2a_project_bn[0][0]']                \n",
-      "                                                                                                             \n",
-      " block2c_expand_conv (Conv2D)   (None, 56, 56, 288)  13824       ['block2b_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block2c_expand_bn (BatchNormal  (None, 56, 56, 288)  1152       ['block2c_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block2c_expand_activation (Act  (None, 56, 56, 288)  0          ['block2c_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block2c_dwconv (DepthwiseConv2  (None, 56, 56, 288)  2592       ['block2c_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block2c_bn (BatchNormalization  (None, 56, 56, 288)  1152       ['block2c_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block2c_activation (Activation  (None, 56, 56, 288)  0          ['block2c_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block2c_se_squeeze (GlobalAver  (None, 288)         0           ['block2c_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block2c_se_reshape (Reshape)   (None, 1, 1, 288)    0           ['block2c_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2c_se_reduce (Conv2D)     (None, 1, 1, 12)     3468        ['block2c_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2c_se_expand (Conv2D)     (None, 1, 1, 288)    3744        ['block2c_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block2c_se_excite (Multiply)   (None, 56, 56, 288)  0           ['block2c_activation[0][0]',     Y          \n",
-      "                                                                  'block2c_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block2c_project_conv (Conv2D)  (None, 56, 56, 48)   13824       ['block2c_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block2c_project_bn (BatchNorma  (None, 56, 56, 48)  192         ['block2c_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block2c_drop (FixedDropout)    (None, 56, 56, 48)   0           ['block2c_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2c_add (Add)              (None, 56, 56, 48)   0           ['block2c_drop[0][0]',           Y          \n",
-      "                                                                  'block2b_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block2d_expand_conv (Conv2D)   (None, 56, 56, 288)  13824       ['block2c_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block2d_expand_bn (BatchNormal  (None, 56, 56, 288)  1152       ['block2d_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block2d_expand_activation (Act  (None, 56, 56, 288)  0          ['block2d_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block2d_dwconv (DepthwiseConv2  (None, 56, 56, 288)  2592       ['block2d_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block2d_bn (BatchNormalization  (None, 56, 56, 288)  1152       ['block2d_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block2d_activation (Activation  (None, 56, 56, 288)  0          ['block2d_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block2d_se_squeeze (GlobalAver  (None, 288)         0           ['block2d_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block2d_se_reshape (Reshape)   (None, 1, 1, 288)    0           ['block2d_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2d_se_reduce (Conv2D)     (None, 1, 1, 12)     3468        ['block2d_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2d_se_expand (Conv2D)     (None, 1, 1, 288)    3744        ['block2d_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block2d_se_excite (Multiply)   (None, 56, 56, 288)  0           ['block2d_activation[0][0]',     Y          \n",
-      "                                                                  'block2d_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block2d_project_conv (Conv2D)  (None, 56, 56, 48)   13824       ['block2d_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block2d_project_bn (BatchNorma  (None, 56, 56, 48)  192         ['block2d_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block2d_drop (FixedDropout)    (None, 56, 56, 48)   0           ['block2d_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2d_add (Add)              (None, 56, 56, 48)   0           ['block2d_drop[0][0]',           Y          \n",
-      "                                                                  'block2c_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block2e_expand_conv (Conv2D)   (None, 56, 56, 288)  13824       ['block2d_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block2e_expand_bn (BatchNormal  (None, 56, 56, 288)  1152       ['block2e_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block2e_expand_activation (Act  (None, 56, 56, 288)  0          ['block2e_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block2e_dwconv (DepthwiseConv2  (None, 56, 56, 288)  2592       ['block2e_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block2e_bn (BatchNormalization  (None, 56, 56, 288)  1152       ['block2e_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block2e_activation (Activation  (None, 56, 56, 288)  0          ['block2e_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block2e_se_squeeze (GlobalAver  (None, 288)         0           ['block2e_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block2e_se_reshape (Reshape)   (None, 1, 1, 288)    0           ['block2e_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2e_se_reduce (Conv2D)     (None, 1, 1, 12)     3468        ['block2e_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2e_se_expand (Conv2D)     (None, 1, 1, 288)    3744        ['block2e_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block2e_se_excite (Multiply)   (None, 56, 56, 288)  0           ['block2e_activation[0][0]',     Y          \n",
-      "                                                                  'block2e_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block2e_project_conv (Conv2D)  (None, 56, 56, 48)   13824       ['block2e_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block2e_project_bn (BatchNorma  (None, 56, 56, 48)  192         ['block2e_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block2e_drop (FixedDropout)    (None, 56, 56, 48)   0           ['block2e_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2e_add (Add)              (None, 56, 56, 48)   0           ['block2e_drop[0][0]',           Y          \n",
-      "                                                                  'block2d_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block2f_expand_conv (Conv2D)   (None, 56, 56, 288)  13824       ['block2e_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block2f_expand_bn (BatchNormal  (None, 56, 56, 288)  1152       ['block2f_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block2f_expand_activation (Act  (None, 56, 56, 288)  0          ['block2f_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block2f_dwconv (DepthwiseConv2  (None, 56, 56, 288)  2592       ['block2f_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block2f_bn (BatchNormalization  (None, 56, 56, 288)  1152       ['block2f_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block2f_activation (Activation  (None, 56, 56, 288)  0          ['block2f_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block2f_se_squeeze (GlobalAver  (None, 288)         0           ['block2f_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block2f_se_reshape (Reshape)   (None, 1, 1, 288)    0           ['block2f_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2f_se_reduce (Conv2D)     (None, 1, 1, 12)     3468        ['block2f_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2f_se_expand (Conv2D)     (None, 1, 1, 288)    3744        ['block2f_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block2f_se_excite (Multiply)   (None, 56, 56, 288)  0           ['block2f_activation[0][0]',     Y          \n",
-      "                                                                  'block2f_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block2f_project_conv (Conv2D)  (None, 56, 56, 48)   13824       ['block2f_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block2f_project_bn (BatchNorma  (None, 56, 56, 48)  192         ['block2f_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block2f_drop (FixedDropout)    (None, 56, 56, 48)   0           ['block2f_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2f_add (Add)              (None, 56, 56, 48)   0           ['block2f_drop[0][0]',           Y          \n",
-      "                                                                  'block2e_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block2g_expand_conv (Conv2D)   (None, 56, 56, 288)  13824       ['block2f_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block2g_expand_bn (BatchNormal  (None, 56, 56, 288)  1152       ['block2g_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block2g_expand_activation (Act  (None, 56, 56, 288)  0          ['block2g_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block2g_dwconv (DepthwiseConv2  (None, 56, 56, 288)  2592       ['block2g_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block2g_bn (BatchNormalization  (None, 56, 56, 288)  1152       ['block2g_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block2g_activation (Activation  (None, 56, 56, 288)  0          ['block2g_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block2g_se_squeeze (GlobalAver  (None, 288)         0           ['block2g_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block2g_se_reshape (Reshape)   (None, 1, 1, 288)    0           ['block2g_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2g_se_reduce (Conv2D)     (None, 1, 1, 12)     3468        ['block2g_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2g_se_expand (Conv2D)     (None, 1, 1, 288)    3744        ['block2g_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block2g_se_excite (Multiply)   (None, 56, 56, 288)  0           ['block2g_activation[0][0]',     Y          \n",
-      "                                                                  'block2g_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block2g_project_conv (Conv2D)  (None, 56, 56, 48)   13824       ['block2g_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block2g_project_bn (BatchNorma  (None, 56, 56, 48)  192         ['block2g_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block2g_drop (FixedDropout)    (None, 56, 56, 48)   0           ['block2g_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block2g_add (Add)              (None, 56, 56, 48)   0           ['block2g_drop[0][0]',           Y          \n",
-      "                                                                  'block2f_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block3a_expand_conv (Conv2D)   (None, 56, 56, 288)  13824       ['block2g_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block3a_expand_bn (BatchNormal  (None, 56, 56, 288)  1152       ['block3a_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block3a_expand_activation (Act  (None, 56, 56, 288)  0          ['block3a_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block3a_dwconv (DepthwiseConv2  (None, 28, 28, 288)  7200       ['block3a_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block3a_bn (BatchNormalization  (None, 28, 28, 288)  1152       ['block3a_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block3a_activation (Activation  (None, 28, 28, 288)  0          ['block3a_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block3a_se_squeeze (GlobalAver  (None, 288)         0           ['block3a_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block3a_se_reshape (Reshape)   (None, 1, 1, 288)    0           ['block3a_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3a_se_reduce (Conv2D)     (None, 1, 1, 12)     3468        ['block3a_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3a_se_expand (Conv2D)     (None, 1, 1, 288)    3744        ['block3a_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block3a_se_excite (Multiply)   (None, 28, 28, 288)  0           ['block3a_activation[0][0]',     Y          \n",
-      "                                                                  'block3a_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block3a_project_conv (Conv2D)  (None, 28, 28, 80)   23040       ['block3a_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block3a_project_bn (BatchNorma  (None, 28, 28, 80)  320         ['block3a_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block3b_expand_conv (Conv2D)   (None, 28, 28, 480)  38400       ['block3a_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3b_expand_bn (BatchNormal  (None, 28, 28, 480)  1920       ['block3b_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block3b_expand_activation (Act  (None, 28, 28, 480)  0          ['block3b_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block3b_dwconv (DepthwiseConv2  (None, 28, 28, 480)  12000      ['block3b_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block3b_bn (BatchNormalization  (None, 28, 28, 480)  1920       ['block3b_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block3b_activation (Activation  (None, 28, 28, 480)  0          ['block3b_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block3b_se_squeeze (GlobalAver  (None, 480)         0           ['block3b_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block3b_se_reshape (Reshape)   (None, 1, 1, 480)    0           ['block3b_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3b_se_reduce (Conv2D)     (None, 1, 1, 20)     9620        ['block3b_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3b_se_expand (Conv2D)     (None, 1, 1, 480)    10080       ['block3b_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block3b_se_excite (Multiply)   (None, 28, 28, 480)  0           ['block3b_activation[0][0]',     Y          \n",
-      "                                                                  'block3b_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block3b_project_conv (Conv2D)  (None, 28, 28, 80)   38400       ['block3b_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block3b_project_bn (BatchNorma  (None, 28, 28, 80)  320         ['block3b_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block3b_drop (FixedDropout)    (None, 28, 28, 80)   0           ['block3b_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3b_add (Add)              (None, 28, 28, 80)   0           ['block3b_drop[0][0]',           Y          \n",
-      "                                                                  'block3a_project_bn[0][0]']                \n",
-      "                                                                                                             \n",
-      " block3c_expand_conv (Conv2D)   (None, 28, 28, 480)  38400       ['block3b_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block3c_expand_bn (BatchNormal  (None, 28, 28, 480)  1920       ['block3c_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block3c_expand_activation (Act  (None, 28, 28, 480)  0          ['block3c_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block3c_dwconv (DepthwiseConv2  (None, 28, 28, 480)  12000      ['block3c_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block3c_bn (BatchNormalization  (None, 28, 28, 480)  1920       ['block3c_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block3c_activation (Activation  (None, 28, 28, 480)  0          ['block3c_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block3c_se_squeeze (GlobalAver  (None, 480)         0           ['block3c_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block3c_se_reshape (Reshape)   (None, 1, 1, 480)    0           ['block3c_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3c_se_reduce (Conv2D)     (None, 1, 1, 20)     9620        ['block3c_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3c_se_expand (Conv2D)     (None, 1, 1, 480)    10080       ['block3c_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block3c_se_excite (Multiply)   (None, 28, 28, 480)  0           ['block3c_activation[0][0]',     Y          \n",
-      "                                                                  'block3c_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block3c_project_conv (Conv2D)  (None, 28, 28, 80)   38400       ['block3c_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block3c_project_bn (BatchNorma  (None, 28, 28, 80)  320         ['block3c_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block3c_drop (FixedDropout)    (None, 28, 28, 80)   0           ['block3c_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3c_add (Add)              (None, 28, 28, 80)   0           ['block3c_drop[0][0]',           Y          \n",
-      "                                                                  'block3b_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block3d_expand_conv (Conv2D)   (None, 28, 28, 480)  38400       ['block3c_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block3d_expand_bn (BatchNormal  (None, 28, 28, 480)  1920       ['block3d_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block3d_expand_activation (Act  (None, 28, 28, 480)  0          ['block3d_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block3d_dwconv (DepthwiseConv2  (None, 28, 28, 480)  12000      ['block3d_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block3d_bn (BatchNormalization  (None, 28, 28, 480)  1920       ['block3d_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block3d_activation (Activation  (None, 28, 28, 480)  0          ['block3d_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block3d_se_squeeze (GlobalAver  (None, 480)         0           ['block3d_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block3d_se_reshape (Reshape)   (None, 1, 1, 480)    0           ['block3d_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3d_se_reduce (Conv2D)     (None, 1, 1, 20)     9620        ['block3d_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3d_se_expand (Conv2D)     (None, 1, 1, 480)    10080       ['block3d_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block3d_se_excite (Multiply)   (None, 28, 28, 480)  0           ['block3d_activation[0][0]',     Y          \n",
-      "                                                                  'block3d_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block3d_project_conv (Conv2D)  (None, 28, 28, 80)   38400       ['block3d_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block3d_project_bn (BatchNorma  (None, 28, 28, 80)  320         ['block3d_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block3d_drop (FixedDropout)    (None, 28, 28, 80)   0           ['block3d_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3d_add (Add)              (None, 28, 28, 80)   0           ['block3d_drop[0][0]',           Y          \n",
-      "                                                                  'block3c_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block3e_expand_conv (Conv2D)   (None, 28, 28, 480)  38400       ['block3d_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block3e_expand_bn (BatchNormal  (None, 28, 28, 480)  1920       ['block3e_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block3e_expand_activation (Act  (None, 28, 28, 480)  0          ['block3e_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block3e_dwconv (DepthwiseConv2  (None, 28, 28, 480)  12000      ['block3e_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block3e_bn (BatchNormalization  (None, 28, 28, 480)  1920       ['block3e_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block3e_activation (Activation  (None, 28, 28, 480)  0          ['block3e_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block3e_se_squeeze (GlobalAver  (None, 480)         0           ['block3e_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block3e_se_reshape (Reshape)   (None, 1, 1, 480)    0           ['block3e_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3e_se_reduce (Conv2D)     (None, 1, 1, 20)     9620        ['block3e_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3e_se_expand (Conv2D)     (None, 1, 1, 480)    10080       ['block3e_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block3e_se_excite (Multiply)   (None, 28, 28, 480)  0           ['block3e_activation[0][0]',     Y          \n",
-      "                                                                  'block3e_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block3e_project_conv (Conv2D)  (None, 28, 28, 80)   38400       ['block3e_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block3e_project_bn (BatchNorma  (None, 28, 28, 80)  320         ['block3e_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block3e_drop (FixedDropout)    (None, 28, 28, 80)   0           ['block3e_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3e_add (Add)              (None, 28, 28, 80)   0           ['block3e_drop[0][0]',           Y          \n",
-      "                                                                  'block3d_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block3f_expand_conv (Conv2D)   (None, 28, 28, 480)  38400       ['block3e_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block3f_expand_bn (BatchNormal  (None, 28, 28, 480)  1920       ['block3f_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block3f_expand_activation (Act  (None, 28, 28, 480)  0          ['block3f_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block3f_dwconv (DepthwiseConv2  (None, 28, 28, 480)  12000      ['block3f_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block3f_bn (BatchNormalization  (None, 28, 28, 480)  1920       ['block3f_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block3f_activation (Activation  (None, 28, 28, 480)  0          ['block3f_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block3f_se_squeeze (GlobalAver  (None, 480)         0           ['block3f_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block3f_se_reshape (Reshape)   (None, 1, 1, 480)    0           ['block3f_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3f_se_reduce (Conv2D)     (None, 1, 1, 20)     9620        ['block3f_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3f_se_expand (Conv2D)     (None, 1, 1, 480)    10080       ['block3f_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block3f_se_excite (Multiply)   (None, 28, 28, 480)  0           ['block3f_activation[0][0]',     Y          \n",
-      "                                                                  'block3f_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block3f_project_conv (Conv2D)  (None, 28, 28, 80)   38400       ['block3f_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block3f_project_bn (BatchNorma  (None, 28, 28, 80)  320         ['block3f_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block3f_drop (FixedDropout)    (None, 28, 28, 80)   0           ['block3f_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3f_add (Add)              (None, 28, 28, 80)   0           ['block3f_drop[0][0]',           Y          \n",
-      "                                                                  'block3e_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block3g_expand_conv (Conv2D)   (None, 28, 28, 480)  38400       ['block3f_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block3g_expand_bn (BatchNormal  (None, 28, 28, 480)  1920       ['block3g_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block3g_expand_activation (Act  (None, 28, 28, 480)  0          ['block3g_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block3g_dwconv (DepthwiseConv2  (None, 28, 28, 480)  12000      ['block3g_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block3g_bn (BatchNormalization  (None, 28, 28, 480)  1920       ['block3g_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block3g_activation (Activation  (None, 28, 28, 480)  0          ['block3g_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block3g_se_squeeze (GlobalAver  (None, 480)         0           ['block3g_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block3g_se_reshape (Reshape)   (None, 1, 1, 480)    0           ['block3g_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3g_se_reduce (Conv2D)     (None, 1, 1, 20)     9620        ['block3g_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3g_se_expand (Conv2D)     (None, 1, 1, 480)    10080       ['block3g_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block3g_se_excite (Multiply)   (None, 28, 28, 480)  0           ['block3g_activation[0][0]',     Y          \n",
-      "                                                                  'block3g_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block3g_project_conv (Conv2D)  (None, 28, 28, 80)   38400       ['block3g_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block3g_project_bn (BatchNorma  (None, 28, 28, 80)  320         ['block3g_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block3g_drop (FixedDropout)    (None, 28, 28, 80)   0           ['block3g_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block3g_add (Add)              (None, 28, 28, 80)   0           ['block3g_drop[0][0]',           Y          \n",
-      "                                                                  'block3f_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block4a_expand_conv (Conv2D)   (None, 28, 28, 480)  38400       ['block3g_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block4a_expand_bn (BatchNormal  (None, 28, 28, 480)  1920       ['block4a_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4a_expand_activation (Act  (None, 28, 28, 480)  0          ['block4a_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4a_dwconv (DepthwiseConv2  (None, 14, 14, 480)  4320       ['block4a_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block4a_bn (BatchNormalization  (None, 14, 14, 480)  1920       ['block4a_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4a_activation (Activation  (None, 14, 14, 480)  0          ['block4a_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4a_se_squeeze (GlobalAver  (None, 480)         0           ['block4a_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block4a_se_reshape (Reshape)   (None, 1, 1, 480)    0           ['block4a_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4a_se_reduce (Conv2D)     (None, 1, 1, 20)     9620        ['block4a_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4a_se_expand (Conv2D)     (None, 1, 1, 480)    10080       ['block4a_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4a_se_excite (Multiply)   (None, 14, 14, 480)  0           ['block4a_activation[0][0]',     Y          \n",
-      "                                                                  'block4a_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block4a_project_conv (Conv2D)  (None, 14, 14, 160)  76800       ['block4a_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4a_project_bn (BatchNorma  (None, 14, 14, 160)  640        ['block4a_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block4b_expand_conv (Conv2D)   (None, 14, 14, 960)  153600      ['block4a_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4b_expand_bn (BatchNormal  (None, 14, 14, 960)  3840       ['block4b_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4b_expand_activation (Act  (None, 14, 14, 960)  0          ['block4b_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4b_dwconv (DepthwiseConv2  (None, 14, 14, 960)  8640       ['block4b_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block4b_bn (BatchNormalization  (None, 14, 14, 960)  3840       ['block4b_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4b_activation (Activation  (None, 14, 14, 960)  0          ['block4b_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4b_se_squeeze (GlobalAver  (None, 960)         0           ['block4b_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block4b_se_reshape (Reshape)   (None, 1, 1, 960)    0           ['block4b_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4b_se_reduce (Conv2D)     (None, 1, 1, 40)     38440       ['block4b_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4b_se_expand (Conv2D)     (None, 1, 1, 960)    39360       ['block4b_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4b_se_excite (Multiply)   (None, 14, 14, 960)  0           ['block4b_activation[0][0]',     Y          \n",
-      "                                                                  'block4b_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block4b_project_conv (Conv2D)  (None, 14, 14, 160)  153600      ['block4b_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4b_project_bn (BatchNorma  (None, 14, 14, 160)  640        ['block4b_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block4b_drop (FixedDropout)    (None, 14, 14, 160)  0           ['block4b_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4b_add (Add)              (None, 14, 14, 160)  0           ['block4b_drop[0][0]',           Y          \n",
-      "                                                                  'block4a_project_bn[0][0]']                \n",
-      "                                                                                                             \n",
-      " block4c_expand_conv (Conv2D)   (None, 14, 14, 960)  153600      ['block4b_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block4c_expand_bn (BatchNormal  (None, 14, 14, 960)  3840       ['block4c_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4c_expand_activation (Act  (None, 14, 14, 960)  0          ['block4c_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4c_dwconv (DepthwiseConv2  (None, 14, 14, 960)  8640       ['block4c_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block4c_bn (BatchNormalization  (None, 14, 14, 960)  3840       ['block4c_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4c_activation (Activation  (None, 14, 14, 960)  0          ['block4c_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4c_se_squeeze (GlobalAver  (None, 960)         0           ['block4c_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block4c_se_reshape (Reshape)   (None, 1, 1, 960)    0           ['block4c_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4c_se_reduce (Conv2D)     (None, 1, 1, 40)     38440       ['block4c_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4c_se_expand (Conv2D)     (None, 1, 1, 960)    39360       ['block4c_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4c_se_excite (Multiply)   (None, 14, 14, 960)  0           ['block4c_activation[0][0]',     Y          \n",
-      "                                                                  'block4c_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block4c_project_conv (Conv2D)  (None, 14, 14, 160)  153600      ['block4c_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4c_project_bn (BatchNorma  (None, 14, 14, 160)  640        ['block4c_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block4c_drop (FixedDropout)    (None, 14, 14, 160)  0           ['block4c_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4c_add (Add)              (None, 14, 14, 160)  0           ['block4c_drop[0][0]',           Y          \n",
-      "                                                                  'block4b_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block4d_expand_conv (Conv2D)   (None, 14, 14, 960)  153600      ['block4c_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block4d_expand_bn (BatchNormal  (None, 14, 14, 960)  3840       ['block4d_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4d_expand_activation (Act  (None, 14, 14, 960)  0          ['block4d_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4d_dwconv (DepthwiseConv2  (None, 14, 14, 960)  8640       ['block4d_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block4d_bn (BatchNormalization  (None, 14, 14, 960)  3840       ['block4d_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4d_activation (Activation  (None, 14, 14, 960)  0          ['block4d_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4d_se_squeeze (GlobalAver  (None, 960)         0           ['block4d_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block4d_se_reshape (Reshape)   (None, 1, 1, 960)    0           ['block4d_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4d_se_reduce (Conv2D)     (None, 1, 1, 40)     38440       ['block4d_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4d_se_expand (Conv2D)     (None, 1, 1, 960)    39360       ['block4d_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4d_se_excite (Multiply)   (None, 14, 14, 960)  0           ['block4d_activation[0][0]',     Y          \n",
-      "                                                                  'block4d_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block4d_project_conv (Conv2D)  (None, 14, 14, 160)  153600      ['block4d_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4d_project_bn (BatchNorma  (None, 14, 14, 160)  640        ['block4d_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block4d_drop (FixedDropout)    (None, 14, 14, 160)  0           ['block4d_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4d_add (Add)              (None, 14, 14, 160)  0           ['block4d_drop[0][0]',           Y          \n",
-      "                                                                  'block4c_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block4e_expand_conv (Conv2D)   (None, 14, 14, 960)  153600      ['block4d_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block4e_expand_bn (BatchNormal  (None, 14, 14, 960)  3840       ['block4e_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4e_expand_activation (Act  (None, 14, 14, 960)  0          ['block4e_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4e_dwconv (DepthwiseConv2  (None, 14, 14, 960)  8640       ['block4e_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block4e_bn (BatchNormalization  (None, 14, 14, 960)  3840       ['block4e_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4e_activation (Activation  (None, 14, 14, 960)  0          ['block4e_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4e_se_squeeze (GlobalAver  (None, 960)         0           ['block4e_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block4e_se_reshape (Reshape)   (None, 1, 1, 960)    0           ['block4e_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4e_se_reduce (Conv2D)     (None, 1, 1, 40)     38440       ['block4e_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4e_se_expand (Conv2D)     (None, 1, 1, 960)    39360       ['block4e_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4e_se_excite (Multiply)   (None, 14, 14, 960)  0           ['block4e_activation[0][0]',     Y          \n",
-      "                                                                  'block4e_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block4e_project_conv (Conv2D)  (None, 14, 14, 160)  153600      ['block4e_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4e_project_bn (BatchNorma  (None, 14, 14, 160)  640        ['block4e_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block4e_drop (FixedDropout)    (None, 14, 14, 160)  0           ['block4e_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4e_add (Add)              (None, 14, 14, 160)  0           ['block4e_drop[0][0]',           Y          \n",
-      "                                                                  'block4d_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block4f_expand_conv (Conv2D)   (None, 14, 14, 960)  153600      ['block4e_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block4f_expand_bn (BatchNormal  (None, 14, 14, 960)  3840       ['block4f_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4f_expand_activation (Act  (None, 14, 14, 960)  0          ['block4f_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4f_dwconv (DepthwiseConv2  (None, 14, 14, 960)  8640       ['block4f_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block4f_bn (BatchNormalization  (None, 14, 14, 960)  3840       ['block4f_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4f_activation (Activation  (None, 14, 14, 960)  0          ['block4f_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4f_se_squeeze (GlobalAver  (None, 960)         0           ['block4f_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block4f_se_reshape (Reshape)   (None, 1, 1, 960)    0           ['block4f_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4f_se_reduce (Conv2D)     (None, 1, 1, 40)     38440       ['block4f_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4f_se_expand (Conv2D)     (None, 1, 1, 960)    39360       ['block4f_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4f_se_excite (Multiply)   (None, 14, 14, 960)  0           ['block4f_activation[0][0]',     Y          \n",
-      "                                                                  'block4f_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block4f_project_conv (Conv2D)  (None, 14, 14, 160)  153600      ['block4f_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4f_project_bn (BatchNorma  (None, 14, 14, 160)  640        ['block4f_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block4f_drop (FixedDropout)    (None, 14, 14, 160)  0           ['block4f_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4f_add (Add)              (None, 14, 14, 160)  0           ['block4f_drop[0][0]',           Y          \n",
-      "                                                                  'block4e_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block4g_expand_conv (Conv2D)   (None, 14, 14, 960)  153600      ['block4f_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block4g_expand_bn (BatchNormal  (None, 14, 14, 960)  3840       ['block4g_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4g_expand_activation (Act  (None, 14, 14, 960)  0          ['block4g_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4g_dwconv (DepthwiseConv2  (None, 14, 14, 960)  8640       ['block4g_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block4g_bn (BatchNormalization  (None, 14, 14, 960)  3840       ['block4g_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4g_activation (Activation  (None, 14, 14, 960)  0          ['block4g_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4g_se_squeeze (GlobalAver  (None, 960)         0           ['block4g_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block4g_se_reshape (Reshape)   (None, 1, 1, 960)    0           ['block4g_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4g_se_reduce (Conv2D)     (None, 1, 1, 40)     38440       ['block4g_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4g_se_expand (Conv2D)     (None, 1, 1, 960)    39360       ['block4g_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4g_se_excite (Multiply)   (None, 14, 14, 960)  0           ['block4g_activation[0][0]',     Y          \n",
-      "                                                                  'block4g_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block4g_project_conv (Conv2D)  (None, 14, 14, 160)  153600      ['block4g_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4g_project_bn (BatchNorma  (None, 14, 14, 160)  640        ['block4g_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block4g_drop (FixedDropout)    (None, 14, 14, 160)  0           ['block4g_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4g_add (Add)              (None, 14, 14, 160)  0           ['block4g_drop[0][0]',           Y          \n",
-      "                                                                  'block4f_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block4h_expand_conv (Conv2D)   (None, 14, 14, 960)  153600      ['block4g_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block4h_expand_bn (BatchNormal  (None, 14, 14, 960)  3840       ['block4h_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4h_expand_activation (Act  (None, 14, 14, 960)  0          ['block4h_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4h_dwconv (DepthwiseConv2  (None, 14, 14, 960)  8640       ['block4h_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block4h_bn (BatchNormalization  (None, 14, 14, 960)  3840       ['block4h_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4h_activation (Activation  (None, 14, 14, 960)  0          ['block4h_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4h_se_squeeze (GlobalAver  (None, 960)         0           ['block4h_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block4h_se_reshape (Reshape)   (None, 1, 1, 960)    0           ['block4h_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4h_se_reduce (Conv2D)     (None, 1, 1, 40)     38440       ['block4h_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4h_se_expand (Conv2D)     (None, 1, 1, 960)    39360       ['block4h_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4h_se_excite (Multiply)   (None, 14, 14, 960)  0           ['block4h_activation[0][0]',     Y          \n",
-      "                                                                  'block4h_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block4h_project_conv (Conv2D)  (None, 14, 14, 160)  153600      ['block4h_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4h_project_bn (BatchNorma  (None, 14, 14, 160)  640        ['block4h_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block4h_drop (FixedDropout)    (None, 14, 14, 160)  0           ['block4h_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4h_add (Add)              (None, 14, 14, 160)  0           ['block4h_drop[0][0]',           Y          \n",
-      "                                                                  'block4g_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block4i_expand_conv (Conv2D)   (None, 14, 14, 960)  153600      ['block4h_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block4i_expand_bn (BatchNormal  (None, 14, 14, 960)  3840       ['block4i_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4i_expand_activation (Act  (None, 14, 14, 960)  0          ['block4i_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4i_dwconv (DepthwiseConv2  (None, 14, 14, 960)  8640       ['block4i_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block4i_bn (BatchNormalization  (None, 14, 14, 960)  3840       ['block4i_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4i_activation (Activation  (None, 14, 14, 960)  0          ['block4i_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4i_se_squeeze (GlobalAver  (None, 960)         0           ['block4i_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block4i_se_reshape (Reshape)   (None, 1, 1, 960)    0           ['block4i_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4i_se_reduce (Conv2D)     (None, 1, 1, 40)     38440       ['block4i_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4i_se_expand (Conv2D)     (None, 1, 1, 960)    39360       ['block4i_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4i_se_excite (Multiply)   (None, 14, 14, 960)  0           ['block4i_activation[0][0]',     Y          \n",
-      "                                                                  'block4i_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block4i_project_conv (Conv2D)  (None, 14, 14, 160)  153600      ['block4i_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4i_project_bn (BatchNorma  (None, 14, 14, 160)  640        ['block4i_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block4i_drop (FixedDropout)    (None, 14, 14, 160)  0           ['block4i_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4i_add (Add)              (None, 14, 14, 160)  0           ['block4i_drop[0][0]',           Y          \n",
-      "                                                                  'block4h_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block4j_expand_conv (Conv2D)   (None, 14, 14, 960)  153600      ['block4i_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block4j_expand_bn (BatchNormal  (None, 14, 14, 960)  3840       ['block4j_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4j_expand_activation (Act  (None, 14, 14, 960)  0          ['block4j_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block4j_dwconv (DepthwiseConv2  (None, 14, 14, 960)  8640       ['block4j_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block4j_bn (BatchNormalization  (None, 14, 14, 960)  3840       ['block4j_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4j_activation (Activation  (None, 14, 14, 960)  0          ['block4j_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block4j_se_squeeze (GlobalAver  (None, 960)         0           ['block4j_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block4j_se_reshape (Reshape)   (None, 1, 1, 960)    0           ['block4j_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4j_se_reduce (Conv2D)     (None, 1, 1, 40)     38440       ['block4j_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4j_se_expand (Conv2D)     (None, 1, 1, 960)    39360       ['block4j_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4j_se_excite (Multiply)   (None, 14, 14, 960)  0           ['block4j_activation[0][0]',     Y          \n",
-      "                                                                  'block4j_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block4j_project_conv (Conv2D)  (None, 14, 14, 160)  153600      ['block4j_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block4j_project_bn (BatchNorma  (None, 14, 14, 160)  640        ['block4j_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block4j_drop (FixedDropout)    (None, 14, 14, 160)  0           ['block4j_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block4j_add (Add)              (None, 14, 14, 160)  0           ['block4j_drop[0][0]',           Y          \n",
-      "                                                                  'block4i_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block5a_expand_conv (Conv2D)   (None, 14, 14, 960)  153600      ['block4j_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block5a_expand_bn (BatchNormal  (None, 14, 14, 960)  3840       ['block5a_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block5a_expand_activation (Act  (None, 14, 14, 960)  0          ['block5a_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block5a_dwconv (DepthwiseConv2  (None, 14, 14, 960)  24000      ['block5a_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block5a_bn (BatchNormalization  (None, 14, 14, 960)  3840       ['block5a_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block5a_activation (Activation  (None, 14, 14, 960)  0          ['block5a_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block5a_se_squeeze (GlobalAver  (None, 960)         0           ['block5a_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block5a_se_reshape (Reshape)   (None, 1, 1, 960)    0           ['block5a_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5a_se_reduce (Conv2D)     (None, 1, 1, 40)     38440       ['block5a_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5a_se_expand (Conv2D)     (None, 1, 1, 960)    39360       ['block5a_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5a_se_excite (Multiply)   (None, 14, 14, 960)  0           ['block5a_activation[0][0]',     Y          \n",
-      "                                                                  'block5a_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block5a_project_conv (Conv2D)  (None, 14, 14, 224)  215040      ['block5a_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5a_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5a_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block5b_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5a_project_bn[0][0]']     Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block5b_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5b_expand_conv[0][0]']    Y          \n",
-      " ization)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5b_expand_activation (Act  (None, 14, 14, 1344  0          ['block5b_expand_bn[0][0]']      Y          \n",
-      " ivation)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5b_dwconv (DepthwiseConv2  (None, 14, 14, 1344  33600      ['block5b_expand_activation[0][  Y          \n",
-      " D)                             )                                0]']                                        \n",
-      "                                                                                                             \n",
-      " block5b_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5b_dwconv[0][0]']         Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5b_activation (Activation  (None, 14, 14, 1344  0          ['block5b_bn[0][0]']             Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5b_se_squeeze (GlobalAver  (None, 1344)        0           ['block5b_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block5b_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5b_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5b_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5b_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5b_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5b_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5b_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5b_activation[0][0]',     Y          \n",
-      "                                )                                 'block5b_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block5b_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5b_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5b_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5b_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block5b_drop (FixedDropout)    (None, 14, 14, 224)  0           ['block5b_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5b_add (Add)              (None, 14, 14, 224)  0           ['block5b_drop[0][0]',           Y          \n",
-      "                                                                  'block5a_project_bn[0][0]']                \n",
-      "                                                                                                             \n",
-      " block5c_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5b_add[0][0]']            Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block5c_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5c_expand_conv[0][0]']    Y          \n",
-      " ization)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5c_expand_activation (Act  (None, 14, 14, 1344  0          ['block5c_expand_bn[0][0]']      Y          \n",
-      " ivation)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5c_dwconv (DepthwiseConv2  (None, 14, 14, 1344  33600      ['block5c_expand_activation[0][  Y          \n",
-      " D)                             )                                0]']                                        \n",
-      "                                                                                                             \n",
-      " block5c_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5c_dwconv[0][0]']         Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5c_activation (Activation  (None, 14, 14, 1344  0          ['block5c_bn[0][0]']             Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5c_se_squeeze (GlobalAver  (None, 1344)        0           ['block5c_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block5c_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5c_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5c_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5c_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5c_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5c_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5c_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5c_activation[0][0]',     Y          \n",
-      "                                )                                 'block5c_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block5c_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5c_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5c_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5c_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block5c_drop (FixedDropout)    (None, 14, 14, 224)  0           ['block5c_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5c_add (Add)              (None, 14, 14, 224)  0           ['block5c_drop[0][0]',           Y          \n",
-      "                                                                  'block5b_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block5d_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5c_add[0][0]']            Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block5d_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5d_expand_conv[0][0]']    Y          \n",
-      " ization)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5d_expand_activation (Act  (None, 14, 14, 1344  0          ['block5d_expand_bn[0][0]']      Y          \n",
-      " ivation)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5d_dwconv (DepthwiseConv2  (None, 14, 14, 1344  33600      ['block5d_expand_activation[0][  Y          \n",
-      " D)                             )                                0]']                                        \n",
-      "                                                                                                             \n",
-      " block5d_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5d_dwconv[0][0]']         Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5d_activation (Activation  (None, 14, 14, 1344  0          ['block5d_bn[0][0]']             Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5d_se_squeeze (GlobalAver  (None, 1344)        0           ['block5d_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block5d_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5d_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5d_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5d_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5d_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5d_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5d_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5d_activation[0][0]',     Y          \n",
-      "                                )                                 'block5d_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block5d_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5d_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5d_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5d_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block5d_drop (FixedDropout)    (None, 14, 14, 224)  0           ['block5d_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5d_add (Add)              (None, 14, 14, 224)  0           ['block5d_drop[0][0]',           Y          \n",
-      "                                                                  'block5c_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block5e_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5d_add[0][0]']            Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block5e_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5e_expand_conv[0][0]']    Y          \n",
-      " ization)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5e_expand_activation (Act  (None, 14, 14, 1344  0          ['block5e_expand_bn[0][0]']      Y          \n",
-      " ivation)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5e_dwconv (DepthwiseConv2  (None, 14, 14, 1344  33600      ['block5e_expand_activation[0][  Y          \n",
-      " D)                             )                                0]']                                        \n",
-      "                                                                                                             \n",
-      " block5e_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5e_dwconv[0][0]']         Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5e_activation (Activation  (None, 14, 14, 1344  0          ['block5e_bn[0][0]']             Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5e_se_squeeze (GlobalAver  (None, 1344)        0           ['block5e_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block5e_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5e_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5e_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5e_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5e_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5e_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5e_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5e_activation[0][0]',     Y          \n",
-      "                                )                                 'block5e_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block5e_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5e_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5e_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5e_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block5e_drop (FixedDropout)    (None, 14, 14, 224)  0           ['block5e_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5e_add (Add)              (None, 14, 14, 224)  0           ['block5e_drop[0][0]',           Y          \n",
-      "                                                                  'block5d_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block5f_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5e_add[0][0]']            Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block5f_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5f_expand_conv[0][0]']    Y          \n",
-      " ization)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5f_expand_activation (Act  (None, 14, 14, 1344  0          ['block5f_expand_bn[0][0]']      Y          \n",
-      " ivation)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5f_dwconv (DepthwiseConv2  (None, 14, 14, 1344  33600      ['block5f_expand_activation[0][  Y          \n",
-      " D)                             )                                0]']                                        \n",
-      "                                                                                                             \n",
-      " block5f_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5f_dwconv[0][0]']         Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5f_activation (Activation  (None, 14, 14, 1344  0          ['block5f_bn[0][0]']             Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5f_se_squeeze (GlobalAver  (None, 1344)        0           ['block5f_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block5f_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5f_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5f_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5f_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5f_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5f_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5f_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5f_activation[0][0]',     Y          \n",
-      "                                )                                 'block5f_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block5f_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5f_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5f_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5f_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block5f_drop (FixedDropout)    (None, 14, 14, 224)  0           ['block5f_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5f_add (Add)              (None, 14, 14, 224)  0           ['block5f_drop[0][0]',           Y          \n",
-      "                                                                  'block5e_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block5g_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5f_add[0][0]']            Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block5g_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5g_expand_conv[0][0]']    Y          \n",
-      " ization)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5g_expand_activation (Act  (None, 14, 14, 1344  0          ['block5g_expand_bn[0][0]']      Y          \n",
-      " ivation)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5g_dwconv (DepthwiseConv2  (None, 14, 14, 1344  33600      ['block5g_expand_activation[0][  Y          \n",
-      " D)                             )                                0]']                                        \n",
-      "                                                                                                             \n",
-      " block5g_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5g_dwconv[0][0]']         Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5g_activation (Activation  (None, 14, 14, 1344  0          ['block5g_bn[0][0]']             Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5g_se_squeeze (GlobalAver  (None, 1344)        0           ['block5g_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block5g_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5g_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5g_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5g_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5g_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5g_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5g_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5g_activation[0][0]',     Y          \n",
-      "                                )                                 'block5g_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block5g_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5g_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5g_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5g_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block5g_drop (FixedDropout)    (None, 14, 14, 224)  0           ['block5g_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5g_add (Add)              (None, 14, 14, 224)  0           ['block5g_drop[0][0]',           Y          \n",
-      "                                                                  'block5f_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block5h_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5g_add[0][0]']            Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block5h_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5h_expand_conv[0][0]']    Y          \n",
-      " ization)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5h_expand_activation (Act  (None, 14, 14, 1344  0          ['block5h_expand_bn[0][0]']      Y          \n",
-      " ivation)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5h_dwconv (DepthwiseConv2  (None, 14, 14, 1344  33600      ['block5h_expand_activation[0][  Y          \n",
-      " D)                             )                                0]']                                        \n",
-      "                                                                                                             \n",
-      " block5h_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5h_dwconv[0][0]']         Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5h_activation (Activation  (None, 14, 14, 1344  0          ['block5h_bn[0][0]']             Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5h_se_squeeze (GlobalAver  (None, 1344)        0           ['block5h_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block5h_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5h_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5h_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5h_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5h_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5h_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5h_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5h_activation[0][0]',     Y          \n",
-      "                                )                                 'block5h_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block5h_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5h_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5h_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5h_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block5h_drop (FixedDropout)    (None, 14, 14, 224)  0           ['block5h_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5h_add (Add)              (None, 14, 14, 224)  0           ['block5h_drop[0][0]',           Y          \n",
-      "                                                                  'block5g_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block5i_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5h_add[0][0]']            Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block5i_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5i_expand_conv[0][0]']    Y          \n",
-      " ization)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5i_expand_activation (Act  (None, 14, 14, 1344  0          ['block5i_expand_bn[0][0]']      Y          \n",
-      " ivation)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5i_dwconv (DepthwiseConv2  (None, 14, 14, 1344  33600      ['block5i_expand_activation[0][  Y          \n",
-      " D)                             )                                0]']                                        \n",
-      "                                                                                                             \n",
-      " block5i_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5i_dwconv[0][0]']         Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5i_activation (Activation  (None, 14, 14, 1344  0          ['block5i_bn[0][0]']             Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5i_se_squeeze (GlobalAver  (None, 1344)        0           ['block5i_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block5i_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5i_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5i_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5i_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5i_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5i_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5i_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5i_activation[0][0]',     Y          \n",
-      "                                )                                 'block5i_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block5i_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5i_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5i_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5i_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block5i_drop (FixedDropout)    (None, 14, 14, 224)  0           ['block5i_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5i_add (Add)              (None, 14, 14, 224)  0           ['block5i_drop[0][0]',           Y          \n",
-      "                                                                  'block5h_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block5j_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5i_add[0][0]']            Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block5j_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5j_expand_conv[0][0]']    Y          \n",
-      " ization)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5j_expand_activation (Act  (None, 14, 14, 1344  0          ['block5j_expand_bn[0][0]']      Y          \n",
-      " ivation)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block5j_dwconv (DepthwiseConv2  (None, 14, 14, 1344  33600      ['block5j_expand_activation[0][  Y          \n",
-      " D)                             )                                0]']                                        \n",
-      "                                                                                                             \n",
-      " block5j_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5j_dwconv[0][0]']         Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5j_activation (Activation  (None, 14, 14, 1344  0          ['block5j_bn[0][0]']             Y          \n",
-      " )                              )                                                                            \n",
-      "                                                                                                             \n",
-      " block5j_se_squeeze (GlobalAver  (None, 1344)        0           ['block5j_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block5j_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5j_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5j_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5j_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5j_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5j_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5j_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5j_activation[0][0]',     Y          \n",
-      "                                )                                 'block5j_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block5j_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5j_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block5j_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5j_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block5j_drop (FixedDropout)    (None, 14, 14, 224)  0           ['block5j_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block5j_add (Add)              (None, 14, 14, 224)  0           ['block5j_drop[0][0]',           Y          \n",
-      "                                                                  'block5i_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block6a_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5j_add[0][0]']            Y          \n",
-      "                                )                                                                            \n",
-      "                                                                                                             \n",
-      " block6a_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block6a_expand_conv[0][0]']    Y          \n",
-      " ization)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block6a_expand_activation (Act  (None, 14, 14, 1344  0          ['block6a_expand_bn[0][0]']      Y          \n",
-      " ivation)                       )                                                                            \n",
-      "                                                                                                             \n",
-      " block6a_dwconv (DepthwiseConv2  (None, 7, 7, 1344)  33600       ['block6a_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block6a_bn (BatchNormalization  (None, 7, 7, 1344)  5376        ['block6a_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6a_activation (Activation  (None, 7, 7, 1344)  0           ['block6a_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6a_se_squeeze (GlobalAver  (None, 1344)        0           ['block6a_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block6a_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block6a_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6a_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block6a_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6a_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block6a_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6a_se_excite (Multiply)   (None, 7, 7, 1344)   0           ['block6a_activation[0][0]',     Y          \n",
-      "                                                                  'block6a_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block6a_project_conv (Conv2D)  (None, 7, 7, 384)    516096      ['block6a_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6a_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6a_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block6b_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6a_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6b_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6b_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6b_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6b_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6b_dwconv (DepthwiseConv2  (None, 7, 7, 2304)  57600       ['block6b_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block6b_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6b_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6b_activation (Activation  (None, 7, 7, 2304)  0           ['block6b_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6b_se_squeeze (GlobalAver  (None, 2304)        0           ['block6b_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block6b_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6b_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6b_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6b_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6b_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6b_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6b_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6b_activation[0][0]',     Y          \n",
-      "                                                                  'block6b_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block6b_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6b_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6b_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6b_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block6b_drop (FixedDropout)    (None, 7, 7, 384)    0           ['block6b_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6b_add (Add)              (None, 7, 7, 384)    0           ['block6b_drop[0][0]',           Y          \n",
-      "                                                                  'block6a_project_bn[0][0]']                \n",
-      "                                                                                                             \n",
-      " block6c_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6b_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block6c_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6c_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6c_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6c_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6c_dwconv (DepthwiseConv2  (None, 7, 7, 2304)  57600       ['block6c_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block6c_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6c_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6c_activation (Activation  (None, 7, 7, 2304)  0           ['block6c_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6c_se_squeeze (GlobalAver  (None, 2304)        0           ['block6c_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block6c_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6c_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6c_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6c_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6c_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6c_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6c_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6c_activation[0][0]',     Y          \n",
-      "                                                                  'block6c_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block6c_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6c_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6c_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6c_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block6c_drop (FixedDropout)    (None, 7, 7, 384)    0           ['block6c_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6c_add (Add)              (None, 7, 7, 384)    0           ['block6c_drop[0][0]',           Y          \n",
-      "                                                                  'block6b_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block6d_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6c_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block6d_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6d_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6d_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6d_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6d_dwconv (DepthwiseConv2  (None, 7, 7, 2304)  57600       ['block6d_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block6d_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6d_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6d_activation (Activation  (None, 7, 7, 2304)  0           ['block6d_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6d_se_squeeze (GlobalAver  (None, 2304)        0           ['block6d_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block6d_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6d_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6d_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6d_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6d_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6d_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6d_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6d_activation[0][0]',     Y          \n",
-      "                                                                  'block6d_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block6d_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6d_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6d_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6d_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block6d_drop (FixedDropout)    (None, 7, 7, 384)    0           ['block6d_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6d_add (Add)              (None, 7, 7, 384)    0           ['block6d_drop[0][0]',           Y          \n",
-      "                                                                  'block6c_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block6e_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6d_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block6e_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6e_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6e_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6e_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6e_dwconv (DepthwiseConv2  (None, 7, 7, 2304)  57600       ['block6e_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block6e_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6e_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6e_activation (Activation  (None, 7, 7, 2304)  0           ['block6e_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6e_se_squeeze (GlobalAver  (None, 2304)        0           ['block6e_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block6e_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6e_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6e_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6e_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6e_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6e_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6e_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6e_activation[0][0]',     Y          \n",
-      "                                                                  'block6e_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block6e_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6e_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6e_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6e_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block6e_drop (FixedDropout)    (None, 7, 7, 384)    0           ['block6e_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6e_add (Add)              (None, 7, 7, 384)    0           ['block6e_drop[0][0]',           Y          \n",
-      "                                                                  'block6d_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block6f_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6e_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block6f_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6f_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6f_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6f_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6f_dwconv (DepthwiseConv2  (None, 7, 7, 2304)  57600       ['block6f_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block6f_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6f_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6f_activation (Activation  (None, 7, 7, 2304)  0           ['block6f_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6f_se_squeeze (GlobalAver  (None, 2304)        0           ['block6f_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block6f_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6f_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6f_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6f_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6f_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6f_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6f_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6f_activation[0][0]',     Y          \n",
-      "                                                                  'block6f_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block6f_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6f_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6f_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6f_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block6f_drop (FixedDropout)    (None, 7, 7, 384)    0           ['block6f_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6f_add (Add)              (None, 7, 7, 384)    0           ['block6f_drop[0][0]',           Y          \n",
-      "                                                                  'block6e_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block6g_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6f_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block6g_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6g_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6g_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6g_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6g_dwconv (DepthwiseConv2  (None, 7, 7, 2304)  57600       ['block6g_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block6g_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6g_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6g_activation (Activation  (None, 7, 7, 2304)  0           ['block6g_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6g_se_squeeze (GlobalAver  (None, 2304)        0           ['block6g_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block6g_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6g_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6g_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6g_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6g_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6g_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6g_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6g_activation[0][0]',     Y          \n",
-      "                                                                  'block6g_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block6g_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6g_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6g_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6g_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block6g_drop (FixedDropout)    (None, 7, 7, 384)    0           ['block6g_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6g_add (Add)              (None, 7, 7, 384)    0           ['block6g_drop[0][0]',           Y          \n",
-      "                                                                  'block6f_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block6h_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6g_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block6h_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6h_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6h_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6h_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6h_dwconv (DepthwiseConv2  (None, 7, 7, 2304)  57600       ['block6h_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block6h_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6h_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6h_activation (Activation  (None, 7, 7, 2304)  0           ['block6h_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6h_se_squeeze (GlobalAver  (None, 2304)        0           ['block6h_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block6h_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6h_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6h_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6h_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6h_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6h_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6h_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6h_activation[0][0]',     Y          \n",
-      "                                                                  'block6h_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block6h_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6h_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6h_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6h_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block6h_drop (FixedDropout)    (None, 7, 7, 384)    0           ['block6h_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6h_add (Add)              (None, 7, 7, 384)    0           ['block6h_drop[0][0]',           Y          \n",
-      "                                                                  'block6g_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block6i_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6h_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block6i_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6i_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6i_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6i_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6i_dwconv (DepthwiseConv2  (None, 7, 7, 2304)  57600       ['block6i_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block6i_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6i_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6i_activation (Activation  (None, 7, 7, 2304)  0           ['block6i_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6i_se_squeeze (GlobalAver  (None, 2304)        0           ['block6i_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block6i_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6i_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6i_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6i_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6i_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6i_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6i_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6i_activation[0][0]',     Y          \n",
-      "                                                                  'block6i_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block6i_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6i_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6i_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6i_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block6i_drop (FixedDropout)    (None, 7, 7, 384)    0           ['block6i_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6i_add (Add)              (None, 7, 7, 384)    0           ['block6i_drop[0][0]',           Y          \n",
-      "                                                                  'block6h_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block6j_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6i_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block6j_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6j_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6j_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6j_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6j_dwconv (DepthwiseConv2  (None, 7, 7, 2304)  57600       ['block6j_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block6j_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6j_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6j_activation (Activation  (None, 7, 7, 2304)  0           ['block6j_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6j_se_squeeze (GlobalAver  (None, 2304)        0           ['block6j_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block6j_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6j_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6j_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6j_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6j_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6j_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6j_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6j_activation[0][0]',     Y          \n",
-      "                                                                  'block6j_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block6j_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6j_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6j_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6j_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block6j_drop (FixedDropout)    (None, 7, 7, 384)    0           ['block6j_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6j_add (Add)              (None, 7, 7, 384)    0           ['block6j_drop[0][0]',           Y          \n",
-      "                                                                  'block6i_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block6k_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6j_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block6k_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6k_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6k_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6k_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6k_dwconv (DepthwiseConv2  (None, 7, 7, 2304)  57600       ['block6k_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block6k_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6k_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6k_activation (Activation  (None, 7, 7, 2304)  0           ['block6k_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6k_se_squeeze (GlobalAver  (None, 2304)        0           ['block6k_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block6k_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6k_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6k_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6k_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6k_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6k_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6k_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6k_activation[0][0]',     Y          \n",
-      "                                                                  'block6k_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block6k_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6k_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6k_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6k_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block6k_drop (FixedDropout)    (None, 7, 7, 384)    0           ['block6k_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6k_add (Add)              (None, 7, 7, 384)    0           ['block6k_drop[0][0]',           Y          \n",
-      "                                                                  'block6j_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block6l_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6k_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block6l_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6l_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6l_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6l_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6l_dwconv (DepthwiseConv2  (None, 7, 7, 2304)  57600       ['block6l_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block6l_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6l_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6l_activation (Activation  (None, 7, 7, 2304)  0           ['block6l_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6l_se_squeeze (GlobalAver  (None, 2304)        0           ['block6l_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block6l_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6l_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6l_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6l_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6l_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6l_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6l_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6l_activation[0][0]',     Y          \n",
-      "                                                                  'block6l_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block6l_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6l_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6l_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6l_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block6l_drop (FixedDropout)    (None, 7, 7, 384)    0           ['block6l_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6l_add (Add)              (None, 7, 7, 384)    0           ['block6l_drop[0][0]',           Y          \n",
-      "                                                                  'block6k_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block6m_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6l_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block6m_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6m_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6m_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6m_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block6m_dwconv (DepthwiseConv2  (None, 7, 7, 2304)  57600       ['block6m_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block6m_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6m_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6m_activation (Activation  (None, 7, 7, 2304)  0           ['block6m_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block6m_se_squeeze (GlobalAver  (None, 2304)        0           ['block6m_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block6m_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6m_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6m_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6m_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6m_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6m_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6m_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6m_activation[0][0]',     Y          \n",
-      "                                                                  'block6m_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block6m_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6m_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block6m_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6m_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block6m_drop (FixedDropout)    (None, 7, 7, 384)    0           ['block6m_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block6m_add (Add)              (None, 7, 7, 384)    0           ['block6m_drop[0][0]',           Y          \n",
-      "                                                                  'block6l_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block7a_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6m_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block7a_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block7a_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block7a_expand_activation (Act  (None, 7, 7, 2304)  0           ['block7a_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block7a_dwconv (DepthwiseConv2  (None, 7, 7, 2304)  20736       ['block7a_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block7a_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block7a_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block7a_activation (Activation  (None, 7, 7, 2304)  0           ['block7a_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block7a_se_squeeze (GlobalAver  (None, 2304)        0           ['block7a_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block7a_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block7a_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block7a_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block7a_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block7a_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block7a_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block7a_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block7a_activation[0][0]',     Y          \n",
-      "                                                                  'block7a_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block7a_project_conv (Conv2D)  (None, 7, 7, 640)    1474560     ['block7a_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block7a_project_bn (BatchNorma  (None, 7, 7, 640)   2560        ['block7a_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block7b_expand_conv (Conv2D)   (None, 7, 7, 3840)   2457600     ['block7a_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block7b_expand_bn (BatchNormal  (None, 7, 7, 3840)  15360       ['block7b_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block7b_expand_activation (Act  (None, 7, 7, 3840)  0           ['block7b_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block7b_dwconv (DepthwiseConv2  (None, 7, 7, 3840)  34560       ['block7b_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block7b_bn (BatchNormalization  (None, 7, 7, 3840)  15360       ['block7b_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block7b_activation (Activation  (None, 7, 7, 3840)  0           ['block7b_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block7b_se_squeeze (GlobalAver  (None, 3840)        0           ['block7b_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block7b_se_reshape (Reshape)   (None, 1, 1, 3840)   0           ['block7b_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block7b_se_reduce (Conv2D)     (None, 1, 1, 160)    614560      ['block7b_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block7b_se_expand (Conv2D)     (None, 1, 1, 3840)   618240      ['block7b_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block7b_se_excite (Multiply)   (None, 7, 7, 3840)   0           ['block7b_activation[0][0]',     Y          \n",
-      "                                                                  'block7b_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block7b_project_conv (Conv2D)  (None, 7, 7, 640)    2457600     ['block7b_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block7b_project_bn (BatchNorma  (None, 7, 7, 640)   2560        ['block7b_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block7b_drop (FixedDropout)    (None, 7, 7, 640)    0           ['block7b_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block7b_add (Add)              (None, 7, 7, 640)    0           ['block7b_drop[0][0]',           Y          \n",
-      "                                                                  'block7a_project_bn[0][0]']                \n",
-      "                                                                                                             \n",
-      " block7c_expand_conv (Conv2D)   (None, 7, 7, 3840)   2457600     ['block7b_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block7c_expand_bn (BatchNormal  (None, 7, 7, 3840)  15360       ['block7c_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block7c_expand_activation (Act  (None, 7, 7, 3840)  0           ['block7c_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block7c_dwconv (DepthwiseConv2  (None, 7, 7, 3840)  34560       ['block7c_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block7c_bn (BatchNormalization  (None, 7, 7, 3840)  15360       ['block7c_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block7c_activation (Activation  (None, 7, 7, 3840)  0           ['block7c_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block7c_se_squeeze (GlobalAver  (None, 3840)        0           ['block7c_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block7c_se_reshape (Reshape)   (None, 1, 1, 3840)   0           ['block7c_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block7c_se_reduce (Conv2D)     (None, 1, 1, 160)    614560      ['block7c_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block7c_se_expand (Conv2D)     (None, 1, 1, 3840)   618240      ['block7c_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block7c_se_excite (Multiply)   (None, 7, 7, 3840)   0           ['block7c_activation[0][0]',     Y          \n",
-      "                                                                  'block7c_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block7c_project_conv (Conv2D)  (None, 7, 7, 640)    2457600     ['block7c_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block7c_project_bn (BatchNorma  (None, 7, 7, 640)   2560        ['block7c_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block7c_drop (FixedDropout)    (None, 7, 7, 640)    0           ['block7c_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block7c_add (Add)              (None, 7, 7, 640)    0           ['block7c_drop[0][0]',           Y          \n",
-      "                                                                  'block7b_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " block7d_expand_conv (Conv2D)   (None, 7, 7, 3840)   2457600     ['block7c_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " block7d_expand_bn (BatchNormal  (None, 7, 7, 3840)  15360       ['block7d_expand_conv[0][0]']    Y          \n",
-      " ization)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block7d_expand_activation (Act  (None, 7, 7, 3840)  0           ['block7d_expand_bn[0][0]']      Y          \n",
-      " ivation)                                                                                                    \n",
-      "                                                                                                             \n",
-      " block7d_dwconv (DepthwiseConv2  (None, 7, 7, 3840)  34560       ['block7d_expand_activation[0][  Y          \n",
-      " D)                                                              0]']                                        \n",
-      "                                                                                                             \n",
-      " block7d_bn (BatchNormalization  (None, 7, 7, 3840)  15360       ['block7d_dwconv[0][0]']         Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block7d_activation (Activation  (None, 7, 7, 3840)  0           ['block7d_bn[0][0]']             Y          \n",
-      " )                                                                                                           \n",
-      "                                                                                                             \n",
-      " block7d_se_squeeze (GlobalAver  (None, 3840)        0           ['block7d_activation[0][0]']     Y          \n",
-      " agePooling2D)                                                                                               \n",
-      "                                                                                                             \n",
-      " block7d_se_reshape (Reshape)   (None, 1, 1, 3840)   0           ['block7d_se_squeeze[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block7d_se_reduce (Conv2D)     (None, 1, 1, 160)    614560      ['block7d_se_reshape[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block7d_se_expand (Conv2D)     (None, 1, 1, 3840)   618240      ['block7d_se_reduce[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block7d_se_excite (Multiply)   (None, 7, 7, 3840)   0           ['block7d_activation[0][0]',     Y          \n",
-      "                                                                  'block7d_se_expand[0][0]']                 \n",
-      "                                                                                                             \n",
-      " block7d_project_conv (Conv2D)  (None, 7, 7, 640)    2457600     ['block7d_se_excite[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " block7d_project_bn (BatchNorma  (None, 7, 7, 640)   2560        ['block7d_project_conv[0][0]']   Y          \n",
-      " lization)                                                                                                   \n",
-      "                                                                                                             \n",
-      " block7d_drop (FixedDropout)    (None, 7, 7, 640)    0           ['block7d_project_bn[0][0]']     Y          \n",
-      "                                                                                                             \n",
-      " block7d_add (Add)              (None, 7, 7, 640)    0           ['block7d_drop[0][0]',           Y          \n",
-      "                                                                  'block7c_add[0][0]']                       \n",
-      "                                                                                                             \n",
-      " top_conv (Conv2D)              (None, 7, 7, 2560)   1638400     ['block7d_add[0][0]']            Y          \n",
-      "                                                                                                             \n",
-      " top_bn (BatchNormalization)    (None, 7, 7, 2560)   10240       ['top_conv[0][0]']               Y          \n",
-      "                                                                                                             \n",
-      " top_activation (Activation)    (None, 7, 7, 2560)   0           ['top_bn[0][0]']                 Y          \n",
-      "                                                                                                             \n",
-      " FC_INPUT_Avg-Pooling (GlobalAv  (None, 2560)        0           ['top_activation[0][0]']         Y          \n",
-      " eragePooling2D)                                                                                             \n",
-      "                                                                                                             \n",
-      " FC_C_Dense-L1-512 (Dense)      (None, 512)          1311232     ['FC_INPUT_Avg-Pooling[0][0]']   Y          \n",
-      "                                                                                                             \n",
-      " FC_C_Dropout-L1-0.1 (Dropout)  (None, 512)          0           ['FC_C_Dense-L1-512[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      " FC_C_Avg-BatchNormalization-L1  (None, 512)         2048        ['FC_C_Dropout-L1-0.1[0][0]']    Y          \n",
-      "  (BatchNormalization)                                                                                       \n",
-      "                                                                                                             \n",
-      " FC_C_Dense-L2-512 (Dense)      (None, 256)          131328      ['FC_C_Avg-BatchNormalization-L  Y          \n",
-      "                                                                 1[0][0]']                                   \n",
-      "                                                                                                             \n",
-      " FC_C_Avg-BatchNormalization-L2  (None, 256)         1024        ['FC_C_Dense-L2-512[0][0]']      Y          \n",
-      "  (BatchNormalization)                                                                                       \n",
-      "                                                                                                             \n",
-      " FC_C_Dense-L3-128 (Dense)      (None, 128)          32896       ['FC_C_Avg-BatchNormalization-L  Y          \n",
-      "                                                                 2[0][0]']                                   \n",
-      "                                                                                                             \n",
-      " FC_OUTPUT_Dense-2 (Dense)      (None, 2)            258         ['FC_C_Dense-L3-128[0][0]']      Y          \n",
-      "                                                                                                             \n",
-      "=============================================================================================================\n",
-      "Total params: 65,576,466\n",
-      "Trainable params: 65,264,210\n",
-      "Non-trainable params: 312,256\n",
-      "_____________________________________________________________________________________________________________\n",
-      "done.\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Configuration\n",
     "PRMC = False\n",
@@ -6151,7 +6772,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -6184,7 +6805,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 9,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2023-12-28T07:04:23.573633300Z",
@@ -6199,20 +6820,29 @@
       "Training the model...\n",
       "\u001b[0;33m\n",
       "Setup Verbose:\u001b[0m\n",
-      "\u001b[0m\u001b[0m\u001b[0;36mExperiment name: \u001b[0m\u001b[0;32m[SGD-M-92-New_y2024_m03_d23-h17_m04_s11]\u001b[0m\u001b[0;36m...\u001b[0m\n",
-      "\u001b[0m\u001b[0m\u001b[0;36mSetting TensorBoard Log dir to \u001b[0m\u001b[0;32m[logs/fit/SGD-M-92-New_y2024_m03_d23-h17_m04_s11]\u001b[0m\u001b[0;36m...\u001b[0m\n",
+      "\u001b[0m\u001b[0m\u001b[0;36mExperiment name: \u001b[0m\u001b[0;32m[_y2024_m03_d24-h13_m07_s21]\u001b[0m\u001b[0;36m...\u001b[0m\n",
+      "\u001b[0m\u001b[0m\u001b[0;36mSetting TensorBoard Log dir to \u001b[0m\u001b[0;32m[logs/fit/_y2024_m03_d24-h13_m07_s21]\u001b[0m\u001b[0;36m...\u001b[0m\n",
       "\u001b[0m\u001b[0m\u001b[0;36mUse_extended_tensorboard \u001b[0m\u001b[0;32m[False]\u001b[0m\u001b[0;36m.\u001b[0m\n",
+      "\u001b[0m\u001b[0m\u001b[0;36mUse_SwapEMAWeights \u001b[0m\u001b[0;32m[True]\u001b[0m\u001b[0;36m.\u001b[0m\n",
       "\u001b[0m\u001b[0m\u001b[0;36mDebug_OUTPUT_DPS \u001b[0m\u001b[0;32m[True]\u001b[0m\u001b[0;36m.\u001b[0m\n",
       "\u001b[0m\u001b[0m\u001b[0;36mUse_OneCycleLr \u001b[0m\u001b[0;32m[False]\u001b[0m\u001b[0;36m.\u001b[0m\n",
       "\u001b[0m\u001b[0m\u001b[0;36mUsing the modified ReduceLROnPlateau.\u001b[0m\n",
       "\u001b[0m\u001b[0m\u001b[0;36mOneCycleLr_UFTS \u001b[0m\u001b[0;32m[False]\u001b[0m\u001b[0;36m.\u001b[0m\n",
-      "\u001b[0m\u001b[0m\u001b[0;33mOptimizer: \u001b[0m\u001b[0;32mSGD\u001b[0m\n",
-      "\u001b[0;36mParameters:\u001b[0m\n",
-      " -- name: SGD\n",
-      " -- learning_rate: 0.3310000002384186\n",
-      " -- decay: 0.0\n",
-      " -- momentum: 0.9200000166893005\n",
-      " -- nesterov: False\n",
+      "\u001b[0m\u001b[0m\u001b[0;36mOptimizer: \u001b[0m\u001b[0;32mSGD\u001b[0m\n",
+      "\u001b[0;36m <Opt> Parameters:\u001b[0m\n",
+      "\u001b[0m\u001b[0m\u001b[0;36m <Opt> -- \u001b[0m\u001b[0;96mname: \u001b[0m\u001b[0;32mSGD\u001b[0m\n",
+      "\u001b[0m\u001b[0m\u001b[0;36m <Opt> -- \u001b[0m\u001b[0;96mlearning_rate: \u001b[0m\u001b[0;32m0.009999999776482582\u001b[0m\n",
+      "\u001b[0m\u001b[0m\u001b[0;36m <Opt> -- \u001b[0m\u001b[0;96mweight_decay: \u001b[0m\u001b[0;32mNone\u001b[0m\n",
+      "\u001b[0m\u001b[0m\u001b[0;36m <Opt> -- \u001b[0m\u001b[0;96mclipnorm: \u001b[0m\u001b[0;32mNone\u001b[0m\n",
+      "\u001b[0m\u001b[0m\u001b[0;36m <Opt> -- \u001b[0m\u001b[0;96mglobal_clipnorm: \u001b[0m\u001b[0;32mNone\u001b[0m\n",
+      "\u001b[0m\u001b[0m\u001b[0;36m <Opt> -- \u001b[0m\u001b[0;96mclipvalue: \u001b[0m\u001b[0;32mNone\u001b[0m\n",
+      "\u001b[0m\u001b[0m\u001b[0;36m <Opt> -- \u001b[0m\u001b[0;96muse_ema: \u001b[0m\u001b[0;32mTrue\u001b[0m\n",
+      "\u001b[0m\u001b[0m\u001b[0;36m <Opt> -- \u001b[0m\u001b[0;96mema_momentum: \u001b[0m\u001b[0;32m0.99\u001b[0m\n",
+      "\u001b[0m\u001b[0m\u001b[0;36m <Opt> -- \u001b[0m\u001b[0;96mema_overwrite_frequency: \u001b[0m\u001b[0;32mNone\u001b[0m\n",
+      "\u001b[0m\u001b[0m\u001b[0;36m <Opt> -- \u001b[0m\u001b[0;96mloss_scale_factor: \u001b[0m\u001b[0;32mNone\u001b[0m\n",
+      "\u001b[0m\u001b[0m\u001b[0;36m <Opt> -- \u001b[0m\u001b[0;96mgradient_accumulation_steps: \u001b[0m\u001b[0;32mNone\u001b[0m\n",
+      "\u001b[0m\u001b[0m\u001b[0;36m <Opt> -- \u001b[0m\u001b[0;96mmomentum: \u001b[0m\u001b[0;32m0.9\u001b[0m\n",
+      "\u001b[0m\u001b[0m\u001b[0;36m <Opt> -- \u001b[0m\u001b[0;96mnesterov: \u001b[0m\u001b[0;32mFalse\u001b[0m\n",
       "\u001b[0;33mSetup Verbose END.\u001b[0m\n",
       "\u001b[0m\n",
       "\u001b[0m\u001b[0mEpoch: \u001b[0m\u001b[0;36m1\u001b[0m\u001b[0m/\u001b[0m\u001b[0;32m489 (TSEC: 0)\u001b[0m\u001b[0;34m | \u001b[0m\u001b[0;32m[Stage 1]\u001b[0m\n",
@@ -6222,81 +6852,10 @@
       "\u001b[0;33m- ImageDataGenerator fit done.\u001b[0m\n",
       "\u001b[0;33m- Augmenting Image Data...\u001b[0m\n",
       "\u001b[0;33m- Normalizing Image Data...\u001b[0m\n",
-      "\u001b[0m\u001b[0m\u001b[0;31m- Debug DP Sample dir: \u001b[0m\u001b[0;32mSamples/TSR_SUB_400_y2024_m03_d23-h17_m05_s07\u001b[0m\n",
-      "\u001b[0m\u001b[0m\u001b[0;33mSetting training subset epoch.c to \u001b[0m\u001b[0;32m[6]\u001b[0m\u001b[0;33m...\u001b[0m\n",
-      "\u001b[0;32mTraining on subset...\u001b[0m\n",
-      "Epoch 1/6\n",
-      "256/256 [==============================] - 89s 279ms/step - loss: nan - accuracy: 0.5042 - val_loss: nan - val_accuracy: 0.3750 - lr: 0.3310\n",
-      "Epoch 2/6\n",
-      "256/256 [==============================] - 69s 267ms/step - loss: nan - accuracy: 0.5049 - val_loss: nan - val_accuracy: 0.3750 - lr: 0.3310\n",
-      "Epoch 3/6\n",
-      "256/256 [==============================] - 68s 264ms/step - loss: nan - accuracy: 0.5049 - val_loss: nan - val_accuracy: 0.3750 - lr: 0.3310\n",
-      "Epoch 4/6\n",
-      "256/256 [==============================] - 70s 274ms/step - loss: nan - accuracy: 0.5049 - val_loss: nan - val_accuracy: 0.3750 - lr: 0.3310\n",
-      "Epoch 5/6\n",
-      "256/256 [==============================] - 71s 275ms/step - loss: nan - accuracy: 0.5049 - val_loss: nan - val_accuracy: 0.3750 - lr: 0.3310\n",
-      "Epoch 6/6\n",
-      "256/256 [==============================] - 69s 268ms/step - loss: nan - accuracy: 0.5049 - val_loss: nan - val_accuracy: 0.3750 - lr: 0.3310\n",
-      "\u001b[0;32mSubset training done.\u001b[0m\n",
-      "\u001b[0;33mLoading the best weights...\u001b[0m\n",
-      "\u001b[0;31mERROR: Failed to load weights. Error: max() arg is an empty sequence\u001b[0m\n",
-      "\u001b[0m\u001b[0m\u001b[0;33mModel Test acc: \u001b[0m\u001b[0;32m0.3750\u001b[0m\n",
-      "\u001b[0m\u001b[0m\u001b[0;33mModel Test loss: \u001b[0m\u001b[0;32mnan\u001b[0m\n",
-      "\u001b[0m\u001b[0m\u001b[0;32mImproved model accuracy from 0.000000 to 0.375000. \u001b[0m\u001b[0;96mSaving model.\u001b[0m\n",
-      "\u001b[0m\u001b[0m\u001b[0;36mSaving full model H5 format...\u001b[0m\n",
-      "\u001b[0m\u001b[0m\u001b[0;91mModel loss did not improve from inf. Not saving model.\u001b[0m\n",
-      "\u001b[0m\u001b[0m\u001b[0;32m(GPU-MEM)\u001b[0m\u001b[0;36m--<Managed Device 0>--[free: 4.67GB, used: 19.33GB, total, 24.00GB]\u001b[0m\n",
-      "\u001b[0m\u001b[0m\u001b[0;33mTime taken for epoch(FULL): \u001b[0m\u001b[0;32m509.52 \u001b[0m\u001b[0;36msec\u001b[0m\n",
-      "\u001b[0m\u001b[0m\u001b[0;33mTime taken for epoch(SUBo): \u001b[0m\u001b[0;32m436.98 \u001b[0m\u001b[0;36msec\u001b[0m\n",
-      "\u001b[0m\u001b[0m\u001b[0;33mTime taken for epoch(OTHERo): \u001b[0m\u001b[0;32m72.54 \u001b[0m\u001b[0;36msec\u001b[0m\n",
-      "\u001b[0;36m<---------------------------------------|Epoch [1] END|--------------------------------------->\u001b[0m\n",
-      "\u001b[0m\n",
-      "\u001b[0m\u001b[0mEpoch: \u001b[0m\u001b[0;36m2\u001b[0m\u001b[0m/\u001b[0m\u001b[0;32m489 (TSEC: 6)\u001b[0m\u001b[0;34m | \u001b[0m\u001b[0;32m[Stage 1]\u001b[0m\n",
-      "\u001b[0m\u001b[0m\u001b[0;33mTaking a subset of \u001b[0m\u001b[0;32m[|4096|AdvSubset:True]\u001b[0m\u001b[0;33m...\u001b[0m\n",
-      "\u001b[0;33mPreparing train data...\u001b[0m\n",
-      "\u001b[0;33m- Augmenting Image Data...\u001b[0m\n",
-      "\u001b[0;33m- Normalizing Image Data...\u001b[0m\n",
-      "\u001b[0m\u001b[0m\u001b[0;33mSetting training subset epoch.c to \u001b[0m\u001b[0;32m[6]\u001b[0m\u001b[0;33m...\u001b[0m\n",
-      "\u001b[0;32mTraining on subset...\u001b[0m\n",
-      "Epoch 7/12\n",
-      "256/256 [==============================] - 74s 276ms/step - loss: nan - accuracy: 0.5093 - val_loss: nan - val_accuracy: 0.3750 - lr: 0.3310\n",
-      "Epoch 8/12\n",
-      "256/256 [==============================] - 71s 275ms/step - loss: nan - accuracy: 0.5093 - val_loss: nan - val_accuracy: 0.3750 - lr: 0.3310\n",
-      "Epoch 9/12\n",
-      "256/256 [==============================] - 70s 273ms/step - loss: nan - accuracy: 0.5093 - val_loss: nan - val_accuracy: 0.3750 - lr: 0.3310\n",
-      "Epoch 10/12\n",
-      "256/256 [==============================] - 71s 276ms/step - loss: nan - accuracy: 0.5093 - val_loss: nan - val_accuracy: 0.3750 - lr: 0.3310\n",
-      "Epoch 11/12\n",
-      "256/256 [==============================] - 72s 279ms/step - loss: nan - accuracy: 0.5093 - val_loss: nan - val_accuracy: 0.3750 - lr: 0.3310\n",
-      "Epoch 12/12\n",
-      "256/256 [==============================] - 71s 275ms/step - loss: nan - accuracy: 0.5093 - val_loss: nan - val_accuracy: 0.3750 - lr: 0.3310\n",
-      "\u001b[0;32mSubset training done.\u001b[0m\n",
-      "\u001b[0;33mLoading the best weights...\u001b[0m\n",
-      "\u001b[0;31mERROR: Failed to load weights. Error: max() arg is an empty sequence\u001b[0m\n",
-      "\u001b[0m\u001b[0m\u001b[0;33mModel Test acc: \u001b[0m\u001b[0;32m0.3750\u001b[0m\n",
-      "\u001b[0m\u001b[0m\u001b[0;33mModel Test loss: \u001b[0m\u001b[0;32mnan\u001b[0m\n",
-      "\u001b[0m\u001b[0m\u001b[0;91mModel accuracy did not improve from 0.3750000000. Not saving model.\u001b[0m\n",
-      "\u001b[0m\u001b[0m\u001b[0;91mModel loss did not improve from inf. Not saving model.\u001b[0m\n",
-      "\u001b[0m\u001b[0m\u001b[0;32m(GPU-MEM)\u001b[0m\u001b[0;36m--<Managed Device 0>--[free: 4.69GB, used: 19.30GB, total, 24.00GB]\u001b[0m\n",
-      "\u001b[0m\u001b[0m\u001b[0;33mTime taken for epoch(FULL): \u001b[0m\u001b[0;32m489.68 \u001b[0m\u001b[0;36msec\u001b[0m\n",
-      "\u001b[0m\u001b[0m\u001b[0;33mTime taken for epoch(SUBo): \u001b[0m\u001b[0;32m429.41 \u001b[0m\u001b[0;36msec\u001b[0m\n",
-      "\u001b[0m\u001b[0m\u001b[0;33mTime taken for epoch(OTHERo): \u001b[0m\u001b[0;32m60.27 \u001b[0m\u001b[0;36msec\u001b[0m\n",
-      "\u001b[0;36m<---------------------------------------|Epoch [2] END|--------------------------------------->\u001b[0m\n",
-      "\u001b[0m\n",
-      "\u001b[0m\u001b[0mEpoch: \u001b[0m\u001b[0;36m3\u001b[0m\u001b[0m/\u001b[0m\u001b[0;32m489 (TSEC: 12)\u001b[0m\u001b[0;34m | \u001b[0m\u001b[0;32m[Stage 1]\u001b[0m\n",
-      "\u001b[0m\u001b[0m\u001b[0;33mTaking a subset of \u001b[0m\u001b[0;32m[|4096|AdvSubset:True]\u001b[0m\u001b[0;33m...\u001b[0m\n",
-      "\u001b[0;33mPreparing train data...\u001b[0m\n",
-      "\u001b[0;33m- Augmenting Image Data...\u001b[0m\n",
-      "\u001b[0;33m- Normalizing Image Data...\u001b[0m\n",
+      "\u001b[0m\u001b[0m\u001b[0;31m- Debug DP Sample dir: \u001b[0m\u001b[0;32mSamples/TSR_SUB_400_y2024_m03_d24-h13_m08_s16\u001b[0m\n",
       "\u001b[0m\u001b[0m\u001b[0;33mSetting training subset epoch.c to \u001b[0m\u001b[0;32m[6]\u001b[0m\u001b[0;33m...\u001b[0m\n",
       "\u001b[0;32mTraining on subset...\u001b[0m\n",
-      "Epoch 13/18\n",
-      "256/256 [==============================] - 75s 276ms/step - loss: nan - accuracy: 0.5127 - val_loss: nan - val_accuracy: 0.3750 - lr: 0.3310\n",
-      "Epoch 14/18\n",
-      " 18/256 [=>............................] - ETA: 56s - loss: nan - accuracy: 0.5312\n",
-      "KeyboardInterrupt. (Training stopped)\n",
-      "Training done.\n",
-      "\n"
+      "Epoch 1/6\n"
      ]
     }
    ],
@@ -6305,7 +6864,7 @@
     "\n",
     "# Garbage Collection (memory)\n",
     "gc.collect()\n",
-    "tf.keras.backend.clear_session()\n",
+    "keras.backend.clear_session()\n",
     "# CONF <-------------------------------------------------------------------------->\n",
     "# Hyperparameters for training the model:\n",
     "max_epoch = 489  # max_epoch: Maximum number of epochs to train for. Use >=256 for full fine-tuning of large models.\n",
@@ -6316,7 +6875,7 @@
     "subset_size = 4096  # subset_size: Size of each training subset. Common values: 512, 1024, 2048, 3200, 4096, 5846, 8192.\n",
     "Conf_batch_size_REV2 = 16  # Conf_batch_size_REV2: Batch size.\n",
     "RES_Train = False  # RES_Train: Resume training if True.\n",
-    "STR_M = 0.86  # STR_M: Starting momentum.\n",
+    "STR_M = 0.9  # STR_M: Starting momentum.\n",
     "STR_LR = 0.01  # STR_LR: Starting learning rate.\n",
     "MAX_LR = 0.01  # MAX_LR: Maximum learning rate.\n",
     "DEC_LR = 0.00005  # DEC_LR: Learning rate decay.\n",
@@ -6330,6 +6889,7 @@
     "Debug_OUTPUT_DPS_freq = 42  # Debug_OUTPUT_DPS_freq: Debug image output frequency(epoch).\n",
     "TerminateOnHighTemp_M = True  # TerminateOnHighTemp_M: Terminate training on high GPU temp to prevent damage. (Can make the training slower)\n",
     "SAVE_FULLM = True  # SAVE_FULLM: Save full model if True.\n",
+    "Use_SwapEMAWeights = True  # Use_SwapEMAWeights: Use EMA weights swapping if True.\n",
     "AdvSubsetC = True  # AdvSubsetC: Use advanced subset sampling to prevent overfitting if True.\n",
     "AdvSubsetC_SHR = 42  # AdvSubsetC_SHR: Parameter for advanced subset sampling (shuffling data after n epochs).\n",
     "load_SUB_BRW = True  # load_SUB_BRW: Load previous subset weights to speed up training if True. May reduce max accuracy.\n",
@@ -6348,6 +6908,7 @@
     "BEST_RSN = \"PAI_model_T\"  # Best model save name prefix. (Uses a lot of memory and storage).\n",
     "ALWAYS_REFIT_IDG = 0  # ALWAYS_REFIT_IDG: if 0/False - do not always refit IDG. if 1 - always refit IDG (In Start). if 2 - always refit IDG (After each epoch) (slow).\n",
     "IDG_FitP_PATH = \"Data\\\\image_SUB_generator.pkl\"\n",
+    "Catch_Fit_Err = True # Catch_Fit_Err: Catch fit error if True.\n",
     "Experiment_EXT = input(\"Experiment name: \")  # Experiment_EXT: Experiment name extension.\n",
     "# CONF END <---------------------------------------------------------------------->\n",
     "# Prep\n",
@@ -6509,7 +7070,7 @@
     ")\n",
     "\n",
     "\n",
-    "class TerminateOnHighTemp(tf.keras.callbacks.Callback):\n",
+    "class TerminateOnHighTemp(Callback):\n",
     "    def __init__(self, check_every_n_batches=2, high_temp=75, low_temp=60, pause_time=60):\n",
     "        super().__init__()\n",
     "        self.check_every_n_batches = check_every_n_batches\n",
@@ -6591,7 +7152,7 @@
     ")\n",
     "# ModelCheckpoint\n",
     "checkpoint_SUB = ModelCheckpoint(\n",
-    "    f\"cache\\\\model_SUB_checkpoint-{{epoch:03d}}-{{{load_SUB_BRW_MODE}:.4f}}.h5\",  # f'cache\\\\model_SUB_checkpoint-{{epoch:03d}}-{{{load_SUB_BRW_MODE}:.4f}}.h5',\n",
+    "    f\"cache\\\\model_SUB_checkpoint-{{epoch:03d}}-{{{load_SUB_BRW_MODE}:.4f}}.weights.h5\",  # f'cache\\\\model_SUB_checkpoint-{{epoch:03d}}-{{{load_SUB_BRW_MODE}:.4f}}.h5',\n",
     "    monitor=load_SUB_BRW_MODE,\n",
     "    save_best_only=True,\n",
     "    mode=ModelCheckpoint_mode,\n",
@@ -6611,7 +7172,7 @@
     "        write_images=Use_tensorBoard_img,\n",
     "        histogram_freq=1,\n",
     "        update_freq=\"epoch\",\n",
-    "        write_grads=True,\n",
+    "        write_graph=True,\n",
     "        profile_batch=\"128,138\" if Use_tensorboard_profiler else 0,\n",
     "    )\n",
     "else:\n",
@@ -6620,7 +7181,7 @@
     "        write_images=Use_tensorBoard_img,\n",
     "        histogram_freq=1,\n",
     "        update_freq=\"epoch\",\n",
-    "        write_grads=True,\n",
+    "        write_graph=True,\n",
     "        profile_batch=\"128,138\" if Use_tensorboard_profiler else 0,\n",
     "    )\n",
     "# OneCycleLr\n",
@@ -6641,6 +7202,8 @@
     "        verbose=1,\n",
     "    )\n",
     "    learning_rate_schedule_SUB.on_train_begin = DummyFunc  # Remove on_train_begin to make it work with subset training.\n",
+    "# SwapEMAWeights\n",
+    "SwapEMAWeights_callback = SwapEMAWeights(swap_on_epoch=True)\n",
     "# TerminateOnNaN\n",
     "TerminateOnNaN_callback = TerminateOnNaN()\n",
     "# PRES\n",
@@ -6652,6 +7215,7 @@
     "    \"tensorboard_callback\": True,\n",
     "    \"confusion_matrix_callback\": Show_confusion_matrix_tensorBoard,\n",
     "    \"TerminateOnNaN_callback\": True,\n",
+    "    \"SwapEMAWeights_callback\": Use_SwapEMAWeights,\n",
     "}\n",
     "# MAIN\n",
     "print(\"Training the model...\")\n",
@@ -6673,6 +7237,11 @@
     "    advanced_mode=True,\n",
     ")\n",
     "print_Color(\n",
+    "    f\"~*Use_SwapEMAWeights ~*[{Use_SwapEMAWeights}]~*.\",\n",
+    "    [\"cyan\", \"green\", \"cyan\"],\n",
+    "    advanced_mode=True,\n",
+    ")\n",
+    "print_Color(\n",
     "    f\"~*Debug_OUTPUT_DPS ~*[{Debug_OUTPUT_DPS}]~*.\",\n",
     "    [\"cyan\", \"green\", \"cyan\"],\n",
     "    advanced_mode=True,\n",
@@ -6774,7 +7343,7 @@
     "        print_Color(\"- Augmenting Image Data...\", [\"yellow\"])\n",
     "        train_SUB_augmented_images = train_SUB_datagen.flow(\n",
     "            x_SUB_train * 255, y_SUB_train, shuffle=False, batch_size=len(x_SUB_train)\n",
-    "        ).next()\n",
+    "        ).__next__()\n",
     "        print_Color(\"- Normalizing Image Data...\", [\"yellow\"])\n",
     "        x_SUB_train = normalize_TO_RANGE(train_SUB_augmented_images[0], 0, 255)\n",
     "        x_SUB_train = apply_clahe_rgb_array(x_SUB_train, 0.5) / 255\n",
@@ -6838,6 +7407,7 @@
     "            \"tensorboard_callback\": tensorboard_callback,\n",
     "            \"confusion_matrix_callback\": confusion_matrix_callback,\n",
     "            \"TerminateOnNaN_callback\": TerminateOnNaN_callback,\n",
+    "            \"SwapEMAWeights_callback\": SwapEMAWeights_callback,\n",
     "        }\n",
     "        Active_callbacks = [callbacks_dict[cb] for cb, active in callbacks_active.items() if active]\n",
     "        start_SUBO_time = time.time()\n",
@@ -6888,7 +7458,7 @@
     "        checkpoint_SUB.best = ModelCheckpoint_Reset_TO\n",
     "        # Garbage Collection (memory)\n",
     "        gc.collect()\n",
-    "        tf.keras.backend.clear_session()\n",
+    "        keras.backend.clear_session()\n",
     "        # Evaluate the model on the test data\n",
     "        evaluation = model.evaluate(x_test, y_test, verbose=0)\n",
     "\n",
@@ -6938,7 +7508,7 @@
     "            print_Color_V2(f\"<light_red>Model loss did not improve from {best_loss:.10f}. Not saving model.\")\n",
     "        # Garbage Collection (memory)\n",
     "        gc.collect()\n",
-    "        tf.keras.backend.clear_session()\n",
+    "        keras.backend.clear_session()\n",
     "        GPU_memUsage()  # noqa: F405\n",
     "        # Update TF summary text\n",
     "        for Key in TF_Summary_text_Dict:\n",
@@ -6964,7 +7534,7 @@
     "        Total_SUB_epoch_C += C_subset_epoch  # TO FIX TensorBoard\n",
     "except KeyboardInterrupt:\n",
     "    print(\"\\nKeyboardInterrupt. (Training stopped)\")\n",
-    "except Exception as Err:\n",
+    "except None as Err:\n",
     "    print(f\"Error while training model (Training stopped):\\n{Err}\")\n",
     "# End\n",
     "# Update TF summary text\n",
@@ -7024,7 +7594,7 @@
     "\n",
     "# Garbage Collection (memory)\n",
     "gc.collect()\n",
-    "tf.keras.backend.clear_session()\n",
+    "keras.backend.clear_session()\n",
     "# CONF\n",
     "Conf_batch_size = 8\n",
     "OneCycleLr_epoch = 20\n",
@@ -7251,7 +7821,7 @@
     "\n",
     "# Garbage Collection (memory)\n",
     "gc.collect()\n",
-    "tf.keras.backend.clear_session()"
+    "keras.backend.clear_session()"
    ]
   },
   {
@@ -7306,75 +7876,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2023-12-28T07:04:52.565658900Z",
      "start_time": "2023-12-28T07:04:51.032425100Z"
     }
    },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1600x1000 with 4 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1400x800 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1400x800 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import matplotlib.pyplot as plt\n",
     "\n",
diff --git a/Utils/New_SGD.py b/Utils/New_SGD.py
deleted file mode 100644
index e01eb43..0000000
--- a/Utils/New_SGD.py
+++ /dev/null
@@ -1,128 +0,0 @@
-from keras import ops
-from keras.optimizers import optimizer
-
-
-class N_SGD(optimizer.Optimizer):
-    """Gradient descent (with momentum) optimizer.
-
-    Update rule for parameter `w` with gradient `g` when `momentum` is 0:
-
-    ```python
-    w = w - learning_rate * g
-    ```
-
-    Update rule when `momentum` is larger than 0:
-
-    ```python
-    velocity = momentum * velocity - learning_rate * g
-    w = w + velocity
-    ```
-
-    When `nesterov=True`, this rule becomes:
-
-    ```python
-    velocity = momentum * velocity - learning_rate * g
-    w = w + momentum * velocity - learning_rate * g
-    ```
-
-    Args:
-        learning_rate: A float, a
-            `keras.optimizers.schedules.LearningRateSchedule` instance, or
-            a callable that takes no arguments and returns the actual value to
-            use. The learning rate. Defaults to `0.01`.
-        momentum: float hyperparameter >= 0 that accelerates gradient descent in
-            the relevant direction and dampens oscillations. 0 is vanilla
-            gradient descent. Defaults to `0.0`.
-        nesterov: boolean. Whether to apply Nesterov momentum.
-            Defaults to `False`.
-        {{base_optimizer_keyword_args}}
-    """
-
-    def __init__(
-        self,
-        learning_rate=0.01,
-        momentum=0.0,
-        nesterov=False,
-        weight_decay=None,
-        clipnorm=None,
-        clipvalue=None,
-        global_clipnorm=None,
-        use_ema=False,
-        ema_momentum=0.99,
-        ema_overwrite_frequency=None,
-        name="SGD",
-        **kwargs,
-    ):
-        super().__init__(
-            learning_rate=learning_rate,
-            name=name,
-            weight_decay=weight_decay,
-            clipnorm=clipnorm,
-            clipvalue=clipvalue,
-            global_clipnorm=global_clipnorm,
-            use_ema=use_ema,
-            ema_momentum=ema_momentum,
-            ema_overwrite_frequency=ema_overwrite_frequency,
-            **kwargs,
-        )
-        if not isinstance(momentum, float) or momentum < 0 or momentum > 1:
-            raise ValueError("`momentum` must be a float between [0, 1].")
-        self.momentum = momentum
-        self.nesterov = nesterov
-
-    def build(self, variables):
-        """Initialize optimizer variables.
-
-        SGD optimizer has one variable `momentums`, only set if `self.momentum`
-        is not 0.
-
-        Args:
-          var_list: list of model variables to build SGD variables on.
-        """
-        if self.built:
-            return
-        super().build(variables)
-        self.momentums = []
-        if self.momentum != 0:
-            for variable in variables:
-                self.momentums.append(self.add_variable_from_reference(reference_variable=variable, name="momentum"))
-
-    def update_step(self, gradient, variable, learning_rate):
-        """Update step given gradient and the associated model variable."""
-        learning_rate = ops.cast(learning_rate, variable.dtype)
-        gradient = ops.cast(gradient, variable.dtype)
-        m = None
-        if self.momentum != 0:
-            m = self.momentums[self._get_variable_index(variable)]
-
-        if m is not None:
-            momentum = ops.cast(self.momentum, variable.dtype)
-            self.assign(
-                m,
-                ops.subtract(
-                    ops.multiply(m, momentum),
-                    ops.multiply(gradient, learning_rate),
-                ),
-            )
-            if self.nesterov:
-                self.assign_add(
-                    variable,
-                    ops.subtract(
-                        ops.multiply(m, momentum),
-                        ops.multiply(gradient, learning_rate),
-                    ),
-                )
-            else:
-                self.assign_add(variable, m)
-        else:
-            self.assign_sub(variable, ops.multiply(gradient, learning_rate))
-
-    def get_config(self):
-        config = super().get_config()
-        config.update(
-            {
-                "momentum": self.momentum,
-                "nesterov": self.nesterov,
-            }
-        )
-        return config
diff --git a/Utils/Other.py b/Utils/Other.py
index a29ba55..11608cc 100644
--- a/Utils/Other.py
+++ b/Utils/Other.py
@@ -1,7 +1,6 @@
 from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score
 from Utils.print_color_V2_NEW import print_Color_V2
 from Utils.print_color_V1_OLD import print_Color
-import keras.backend as K
 from tabulate import tabulate
 from numba import cuda
 import numpy as np
@@ -141,9 +140,10 @@ def set_optimizer_attribute(optimizer, attribute, value, verbose: bool = False):
         verbose: Whether to print a message if the attribute does not exist.
     """
     if hasattr(optimizer, attribute):
-        K.set_value(getattr(optimizer, attribute), value)
+        setattr(optimizer, attribute, value)
     else:
-        print(f"The optimizer does not have an attribute named '{attribute}'") if verbose else None
+        if verbose:
+            print(f"The optimizer does not have an attribute named '{attribute}'")
 
 
 def print_optimizer_info(model):
diff --git a/Utils/README.md b/Utils/README.md
index a78e346..9d92dd9 100644
--- a/Utils/README.md
+++ b/Utils/README.md
@@ -19,9 +19,6 @@
 
 ## Timeout_input.py (by Me)
 
-## swap_ema_weights and New_SGD.py (\`**smi**\` copy of keras 3)
-- ### github repo used: [keras](https://github.com/keras-team/keras)
-
 ## FixedDropout.py (by Me)
 For EfficientNet model Example:
 ```python
diff --git a/Utils/lr_find.py b/Utils/lr_find.py
index 9d660cc..7ab7b02 100644
--- a/Utils/lr_find.py
+++ b/Utils/lr_find.py
@@ -1,13 +1,10 @@
+import keras
 import tempfile
-
 import matplotlib.pyplot as plt
 import numpy as np
-
 import tensorflow as tf
-from tensorflow import keras
 from tqdm.auto import tqdm
-
-K = keras.backend
+import keras.src.legacy.backend as K
 
 
 class Scheduler:
@@ -59,9 +56,9 @@ class LrFinder:
 
     def __init__(
         self,
-        model: tf.keras.Model,
-        optimizer: tf.keras.optimizers.Optimizer,
-        loss_fn: tf.keras.losses.Loss,
+        model: keras.Model,
+        optimizer: keras.optimizers.Optimizer,
+        loss_fn: keras.losses.Loss,
     ) -> None:
         self.lrs = []
         self.losses = []
diff --git a/Utils/one_cycle.py b/Utils/one_cycle.py
index d62aa96..385395a 100644
--- a/Utils/one_cycle.py
+++ b/Utils/one_cycle.py
@@ -1,9 +1,7 @@
-from tensorflow import keras
+import keras
 import math
 import matplotlib.pyplot as plt
-
-K = keras.backend
-
+import keras.src.legacy.backend as K
 
 class OneCycleLr(keras.callbacks.Callback):
     """
diff --git a/Utils/swap_ema_weights.py b/Utils/swap_ema_weights.py
deleted file mode 100644
index 93057ff..0000000
--- a/Utils/swap_ema_weights.py
+++ /dev/null
@@ -1,174 +0,0 @@
-from keras import backend
-from keras import ops
-from keras.callbacks import Callback
-
-
-class SwapEMAWeights(Callback):
-    """Swaps model weights and EMA weights before and after evaluation.
-
-    This callbacks replaces the model's weight values with the values of
-    the optimizer's EMA weights (the exponential moving average of the past
-    model weights values, implementing "Polyak averaging") before model
-    evaluation, and restores the previous weights after evaluation.
-
-    The `SwapEMAWeights` callback is to be used in conjunction with
-    an optimizer that sets `use_ema=True`.
-
-    Note that the weights are swapped in-place in order to save memory.
-    The behavior is undefined if you modify the EMA weights
-    or model weights in other callbacks.
-
-    Example:
-
-    ```python
-    # Remember to set `use_ema=True` in the optimizer
-    optimizer = SGD(use_ema=True)
-    model.compile(optimizer=optimizer, loss=..., metrics=...)
-
-    # Metrics will be computed with EMA weights
-    model.fit(X_train, Y_train, callbacks=[SwapEMAWeights()])
-
-    # If you want to save model checkpoint with EMA weights, you can set
-    # `swap_on_epoch=True` and place ModelCheckpoint after SwapEMAWeights.
-    model.fit(
-        X_train,
-        Y_train,
-        callbacks=[SwapEMAWeights(swap_on_epoch=True), ModelCheckpoint(...)]
-    )
-    ```
-
-    Args:
-        swap_on_epoch: whether to perform swapping at `on_epoch_begin()`
-            and `on_epoch_end()`. This is useful if you want to use
-            EMA weights for other callbacks such as `ModelCheckpoint`.
-            Defaults to `False`.
-    """
-
-    def __init__(self, swap_on_epoch=False):
-        super().__init__()
-        self.swap_on_epoch = swap_on_epoch
-
-        self._ema_weights_in_model = False
-
-    def _tf_swap_variables(self, optimizer):
-        for var, average_var in zip(
-            self.model.trainable_variables,
-            optimizer._model_variables_moving_average,
-        ):
-            if isinstance(var, backend.Variable):
-                var = var.value
-            if isinstance(average_var, backend.Variable):
-                average_var = average_var.value
-            # swap using addition to prevent variable creation
-            optimizer._distribution_strategy.extended.update(
-                var,
-                lambda a, b: a.assign_add(b),
-                args=(average_var,),
-            )
-            optimizer._distribution_strategy.extended.update(
-                var,
-                lambda a, b: b.assign(a - b),
-                args=(average_var,),
-            )
-            optimizer._distribution_strategy.extended.update(
-                var,
-                lambda a, b: a.assign(a - b),
-                args=(average_var,),
-            )
-
-    def _backend_swap_variables(self, optimizer):
-        for var, average_var in zip(
-            self.model.trainable_variables,
-            optimizer._model_variables_moving_average,
-        ):
-            temporary_variable = ops.convert_to_numpy(var)
-            var.assign(average_var)
-            average_var.assign(temporary_variable)
-
-    def _tf_finalize_ema_values(self, optimizer):
-        for var, average_var in zip(
-            self.model.trainable_variables,
-            optimizer._model_variables_moving_average,
-        ):
-            if isinstance(var, backend.Variable):
-                var = var.value
-            if isinstance(average_var, backend.Variable):
-                average_var = average_var.value
-            optimizer._distribution_strategy.extended.update(
-                average_var,
-                lambda a, b: a.assign(b),
-                args=(var,),
-            )
-
-    def _backend_finalize_ema_values(self, optimizer):
-        for var, average_var in zip(
-            self.model.trainable_variables,
-            optimizer._model_variables_moving_average,
-        ):
-            average_var.assign(var)
-
-    def _swap_variables(self):
-        if hasattr(self.model.optimizer, "inner_optimizer"):
-            # LossScaleOptimizer
-            optimizer = self.model.optimizer.inner_optimizer
-        else:
-            optimizer = self.model.optimizer
-        if not hasattr(optimizer, "_model_variables_moving_average"):
-            raise ValueError(
-                "SwapEMAWeights must be used when " "`use_ema=True` is set on the optimizer. " f"Received: use_ema={optimizer.use_ema}"
-            )
-        if backend.backend() == "tensorflow":
-            self._tf_swap_variables(optimizer)
-        else:
-            self._backend_swap_variables(optimizer)
-
-    def _finalize_ema_values(self):
-        if hasattr(self.model.optimizer, "inner_optimizer"):
-            # LossScaleOptimizer
-            optimizer = self.model.optimizer.inner_optimizer
-        else:
-            optimizer = self.model.optimizer
-        if not hasattr(optimizer, "_model_variables_moving_average"):
-            raise ValueError(
-                "SwapEMAWeights must be used when " "`use_ema=True` is set on the optimizer. " f"Received: use_ema={optimizer.use_ema}"
-            )
-        if backend.backend() == "tensorflow":
-            self._tf_finalize_ema_values(optimizer)
-        else:
-            self._backend_finalize_ema_values(optimizer)
-
-    def on_epoch_begin(self, epoch, logs=None):
-        if self.swap_on_epoch and self._ema_weights_in_model:
-            self._swap_variables()
-            self._ema_weights_in_model = False
-
-    def on_epoch_end(self, epoch, logs=None):
-        if self.swap_on_epoch and not self._ema_weights_in_model:
-            self._swap_variables()
-            self._ema_weights_in_model = True
-            # We need to recover EMA weights from the previously swapped weights
-            # in the last epoch. This is because, at the end of the fitting,
-            # `finalize_variable_values` will be called to assign
-            # `_model_variables_moving_average` to `trainable_variables`.
-            if epoch == self.params["epochs"] - 1:
-                self._finalize_ema_values()
-
-    def on_test_begin(self, logs=None):
-        if not self._ema_weights_in_model:
-            self._swap_variables()
-            self._ema_weights_in_model = True
-
-    def on_test_end(self, logs=None):
-        if self._ema_weights_in_model:
-            self._swap_variables()
-            self._ema_weights_in_model = False
-
-    def on_predict_begin(self, logs=None):
-        if not self._ema_weights_in_model:
-            self._swap_variables()
-            self._ema_weights_in_model = True
-
-    def on_predict_end(self, logs=None):
-        if not self._ema_weights_in_model:
-            self._swap_variables()
-            self._ema_weights_in_model = False