Merge pull request #167 from Aydinhamedi:Alpha-b

	modified:   BETA_E_Model_T&T.ipynb

.github/workflows/dependency-review.yml

@@ -5,7 +5,7 @@
 # Source repository: https://github.com/actions/dependency-review-action
 # Public documentation: https://docs.github.com/en/code-security/supply-chain-security/understanding-your-software-supply-chain/about-dependency-review#dependency-review-enforcement
 name: 'Dependency Review'
-on: pull_request
+on: [pull_request, push]
 
 permissions:
   contents: read

.gitignore

@@ -89,4 +89,5 @@ Samples/*
 /scc.exe
 /SCC_Auto.cmd
 /Microsoft.PowerShell_profile_Nvidia_smi.ps1
-/Data/image_SUB_generator.pkl
+/Data/image_SUB_generator.pkl
+/GPU_Info.txt

Utils/Other.py

@@ -2,10 +2,35 @@
 from Utils.print_color_V2_NEW import print_Color_V2
 from Utils.print_color_V1_OLD import print_Color
 from tabulate import tabulate
+from numba import cuda
 import numpy as np
 import pickle
 import gzip
+
+def GPU_memUsage(Print=True):
+    """Prints GPU memory usage for each GPU.
 
+    Args:
+    Print (bool): Whether to print the memory usage. 
+        If True, prints the memory usage. 
+        If False, returns the free and total memory as a tuple.
+
+    Returns:
+    If Print is False, returns a tuple (free, total) with the free 
+    and total memory in bytes for the GPU.
+    """
+    gpus = cuda.gpus.lst
+    for gpu in gpus:
+        with gpu:
+            meminfo = cuda.current_context().get_memory_info()
+            if Print:
+                print_Color(
+                    f'~*(GPU-MEM)~*--{gpu}--[free: {meminfo.free / (1024 ** 3):.2f}GB, used: {meminfo.total / (1024 ** 3) - meminfo.free / (1024 ** 3):.2f}GB, total, {meminfo.total / (1024 ** 3):.2f}GB]',
+                    ['green', 'cyan'],
+                    advanced_mode=True)
+            else:
+                return meminfo.free, meminfo.total
+
 def save_list(history, filename, compress=True):
     """Saves a list to a file.
 

env/Test_ENV3.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -108,24 +108,53 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\u001b[0m\u001b[0m\u001b[0;33mImproved model accuracy from\u001b[0m\u001b[0;32m   0.458953\u001b[0m\u001b[0;33m to \u001b[0m\u001b[0;32m  0.458953\u001b[0m\u001b[0;33m. \u001b[0m\u001b[0;96mSaving model.\u001b[0m\n"
+      "\u001b[0m\u001b[0m\u001b[0;32m(GPU-MEM)\u001b[0m\u001b[0;36m--<Managed Device 0>--[free: 22.77GB, used: 1.23GB, total, 24.00GB]\u001b[0m\n",
+      "Realising all memory...\n",
+      "\u001b[0m\u001b[0m\u001b[0;32m(GPU-MEM)\u001b[0m\u001b[0;36m--<Managed Device 0>--[free: 22.77GB, used: 1.23GB, total, 24.00GB]\u001b[0m\n",
+      "done.\n"
      ]
     }
    ],
    "source": [
-    "# Copyright (c) 2024 Aydin Hamedi\n",
-    "# \n",
-    "# This software is released under the MIT License.\n",
-    "# https://opensource.org/licenses/MIT\n",
+    "from numba import cuda\n",
+    "    \n",
+    "def GPU_memUsage(Print=True):\n",
+    "    \"\"\"Prints GPU memory usage for each GPU.\n",
     "\n",
-    "print_Color_V2(f'<yellow>Improved model accuracy from<green>{0.4589532546:10f}<yellow> to <green>{0.4589532546:10f}<yellow>. <light_cyan>Saving model.')"
+    "    Args:\n",
+    "    Print (bool): Whether to print the memory usage. \n",
+    "        If True, prints the memory usage. \n",
+    "        If False, returns the free and total memory as a tuple.\n",
+    "\n",
+    "    Returns:\n",
+    "    If Print is False, returns a tuple (free, total) with the free \n",
+    "    and total memory in bytes for the GPU.\n",
+    "    \"\"\"\n",
+    "    gpus = cuda.gpus.lst\n",
+    "    for gpu in gpus:\n",
+    "        with gpu:\n",
+    "            meminfo = cuda.current_context().get_memory_info()\n",
+    "            if Print:\n",
+    "                print_Color(\n",
+    "                    f'~*(GPU-MEM)~*--{gpu}--[free: {meminfo.free / (1024 ** 3):.2f}GB, used: {meminfo.total / (1024 ** 3) - meminfo.free / (1024 ** 3):.2f}GB, total, {meminfo.total / (1024 ** 3):.2f}GB]',\n",
+    "                    ['green', 'cyan'],\n",
+    "                    advanced_mode=True)\n",
+    "            else:\n",
+    "                return meminfo.free, meminfo.total\n",
+    "            \n",
+    "device = cuda.get_current_device()\n",
+    "GPU_memUsage()\n",
+    "print('Realising all memory...')\n",
+    "device.reset()\n",
+    "GPU_memUsage()\n",
+    "print('done.')"
    ]
   }
  ],

requirements.txt

@@ -28,3 +28,4 @@ tensorflow==2.10.1
 tensorflow-addons==0.22.0
 tensorflow-model-optimization==0.7.5
 tqdm==4.66.1
+numba==0.59.0