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modelarch.txt
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modelarch.txt
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__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
vision_input_imgs (InputLayer) [(None, 12, 128, 256 0
__________________________________________________________________________________________________
vision_permute (Permute) (None, 128, 256, 12) 0 vision_input_imgs[0][0]
__________________________________________________________________________________________________
vision_conv2d (Conv2D) (None, 128, 256, 16) 4816 vision_permute[0][0]
__________________________________________________________________________________________________
vision_elu (ELU) (None, 128, 256, 16) 0 vision_conv2d[0][0]
__________________________________________________________________________________________________
vision_average_pooling2d (Avera (None, 64, 128, 16) 0 vision_elu[0][0]
__________________________________________________________________________________________________
vision_conv2_block1_1_conv (Con (None, 64, 128, 16) 272 vision_average_pooling2d[0][0]
__________________________________________________________________________________________________
vision_conv2_block1_1_bn (Batch (None, 64, 128, 16) 64 vision_conv2_block1_1_conv[0][0]
__________________________________________________________________________________________________
vision_conv2_block1_1_elu (Acti (None, 64, 128, 16) 0 vision_conv2_block1_1_bn[0][0]
__________________________________________________________________________________________________
vision_conv2_block1_2_conv (Con (None, 64, 128, 16) 2320 vision_conv2_block1_1_elu[0][0]
__________________________________________________________________________________________________
vision_conv2_block1_2_bn (Batch (None, 64, 128, 16) 64 vision_conv2_block1_2_conv[0][0]
__________________________________________________________________________________________________
vision_conv2_block1_2_elu (Acti (None, 64, 128, 16) 0 vision_conv2_block1_2_bn[0][0]
__________________________________________________________________________________________________
vision_conv2_block1_0_conv (Con (None, 64, 128, 64) 1088 vision_average_pooling2d[0][0]
__________________________________________________________________________________________________
vision_conv2_block1_3_conv (Con (None, 64, 128, 64) 1088 vision_conv2_block1_2_elu[0][0]
__________________________________________________________________________________________________
vision_conv2_block1_0_bn (Batch (None, 64, 128, 64) 256 vision_conv2_block1_0_conv[0][0]
__________________________________________________________________________________________________
vision_conv2_block1_3_bn (Batch (None, 64, 128, 64) 256 vision_conv2_block1_3_conv[0][0]
__________________________________________________________________________________________________
vision_conv2_block1_add (Add) (None, 64, 128, 64) 0 vision_conv2_block1_0_bn[0][0]
vision_conv2_block1_3_bn[0][0]
__________________________________________________________________________________________________
vision_conv2_block1_elu_out (Ac (None, 64, 128, 64) 0 vision_conv2_block1_add[0][0]
__________________________________________________________________________________________________
vision_conv2_block2_1_conv (Con (None, 64, 128, 16) 1040 vision_conv2_block1_elu_out[0][0]
__________________________________________________________________________________________________
vision_conv2_block2_1_bn (Batch (None, 64, 128, 16) 64 vision_conv2_block2_1_conv[0][0]
__________________________________________________________________________________________________
vision_conv2_block2_1_elu (Acti (None, 64, 128, 16) 0 vision_conv2_block2_1_bn[0][0]
__________________________________________________________________________________________________
vision_conv2_block2_2_conv (Con (None, 64, 128, 16) 2320 vision_conv2_block2_1_elu[0][0]
__________________________________________________________________________________________________
vision_conv2_block2_2_bn (Batch (None, 64, 128, 16) 64 vision_conv2_block2_2_conv[0][0]
__________________________________________________________________________________________________
vision_conv2_block2_2_elu (Acti (None, 64, 128, 16) 0 vision_conv2_block2_2_bn[0][0]
__________________________________________________________________________________________________
vision_conv2_block2_3_conv (Con (None, 64, 128, 64) 1088 vision_conv2_block2_2_elu[0][0]
__________________________________________________________________________________________________
vision_conv2_block2_3_bn (Batch (None, 64, 128, 64) 256 vision_conv2_block2_3_conv[0][0]
__________________________________________________________________________________________________
vision_conv2_block2_add (Add) (None, 64, 128, 64) 0 vision_conv2_block1_elu_out[0][0]
vision_conv2_block2_3_bn[0][0]
__________________________________________________________________________________________________
vision_conv2_block2_elu_out (Ac (None, 64, 128, 64) 0 vision_conv2_block2_add[0][0]
__________________________________________________________________________________________________
vision_conv2_block3_1_conv (Con (None, 64, 128, 16) 1040 vision_conv2_block2_elu_out[0][0]
__________________________________________________________________________________________________
vision_conv2_block3_1_bn (Batch (None, 64, 128, 16) 64 vision_conv2_block3_1_conv[0][0]
__________________________________________________________________________________________________
vision_conv2_block3_1_elu (Acti (None, 64, 128, 16) 0 vision_conv2_block3_1_bn[0][0]
__________________________________________________________________________________________________
vision_conv2_block3_2_conv (Con (None, 64, 128, 16) 2320 vision_conv2_block3_1_elu[0][0]
__________________________________________________________________________________________________
vision_conv2_block3_2_bn (Batch (None, 64, 128, 16) 64 vision_conv2_block3_2_conv[0][0]
__________________________________________________________________________________________________
vision_conv2_block3_2_elu (Acti (None, 64, 128, 16) 0 vision_conv2_block3_2_bn[0][0]
__________________________________________________________________________________________________
vision_conv2_block3_3_conv (Con (None, 64, 128, 64) 1088 vision_conv2_block3_2_elu[0][0]
__________________________________________________________________________________________________
vision_conv2_block3_3_bn (Batch (None, 64, 128, 64) 256 vision_conv2_block3_3_conv[0][0]
__________________________________________________________________________________________________
vision_conv2_block3_add (Add) (None, 64, 128, 64) 0 vision_conv2_block2_elu_out[0][0]
vision_conv2_block3_3_bn[0][0]
__________________________________________________________________________________________________
vision_conv2_block3_elu_out (Ac (None, 64, 128, 64) 0 vision_conv2_block3_add[0][0]
__________________________________________________________________________________________________
vision_conv3_block1_1_conv (Con (None, 32, 64, 32) 2080 vision_conv2_block3_elu_out[0][0]
__________________________________________________________________________________________________
vision_conv3_block1_1_bn (Batch (None, 32, 64, 32) 128 vision_conv3_block1_1_conv[0][0]
__________________________________________________________________________________________________
vision_conv3_block1_1_elu (Acti (None, 32, 64, 32) 0 vision_conv3_block1_1_bn[0][0]
__________________________________________________________________________________________________
vision_conv3_block1_2_conv (Con (None, 32, 64, 32) 9248 vision_conv3_block1_1_elu[0][0]
__________________________________________________________________________________________________
vision_conv3_block1_2_bn (Batch (None, 32, 64, 32) 128 vision_conv3_block1_2_conv[0][0]
__________________________________________________________________________________________________
vision_conv3_block1_2_elu (Acti (None, 32, 64, 32) 0 vision_conv3_block1_2_bn[0][0]
__________________________________________________________________________________________________
vision_conv3_block1_0_conv (Con (None, 32, 64, 128) 8320 vision_conv2_block3_elu_out[0][0]
__________________________________________________________________________________________________
vision_conv3_block1_3_conv (Con (None, 32, 64, 128) 4224 vision_conv3_block1_2_elu[0][0]
__________________________________________________________________________________________________
vision_conv3_block1_0_bn (Batch (None, 32, 64, 128) 512 vision_conv3_block1_0_conv[0][0]
__________________________________________________________________________________________________
vision_conv3_block1_3_bn (Batch (None, 32, 64, 128) 512 vision_conv3_block1_3_conv[0][0]
__________________________________________________________________________________________________
vision_conv3_block1_add (Add) (None, 32, 64, 128) 0 vision_conv3_block1_0_bn[0][0]
vision_conv3_block1_3_bn[0][0]
__________________________________________________________________________________________________
vision_conv3_block1_elu_out (Ac (None, 32, 64, 128) 0 vision_conv3_block1_add[0][0]
__________________________________________________________________________________________________
vision_conv3_block2_1_conv (Con (None, 32, 64, 32) 4128 vision_conv3_block1_elu_out[0][0]
__________________________________________________________________________________________________
vision_conv3_block2_1_bn (Batch (None, 32, 64, 32) 128 vision_conv3_block2_1_conv[0][0]
__________________________________________________________________________________________________
vision_conv3_block2_1_elu (Acti (None, 32, 64, 32) 0 vision_conv3_block2_1_bn[0][0]
__________________________________________________________________________________________________
vision_conv3_block2_2_conv (Con (None, 32, 64, 32) 9248 vision_conv3_block2_1_elu[0][0]
__________________________________________________________________________________________________
vision_conv3_block2_2_bn (Batch (None, 32, 64, 32) 128 vision_conv3_block2_2_conv[0][0]
__________________________________________________________________________________________________
vision_conv3_block2_2_elu (Acti (None, 32, 64, 32) 0 vision_conv3_block2_2_bn[0][0]
__________________________________________________________________________________________________
vision_conv3_block2_3_conv (Con (None, 32, 64, 128) 4224 vision_conv3_block2_2_elu[0][0]
__________________________________________________________________________________________________
vision_conv3_block2_3_bn (Batch (None, 32, 64, 128) 512 vision_conv3_block2_3_conv[0][0]
__________________________________________________________________________________________________
vision_conv3_block2_add (Add) (None, 32, 64, 128) 0 vision_conv3_block1_elu_out[0][0]
vision_conv3_block2_3_bn[0][0]
__________________________________________________________________________________________________
vision_conv3_block2_elu_out (Ac (None, 32, 64, 128) 0 vision_conv3_block2_add[0][0]
__________________________________________________________________________________________________
vision_conv3_block3_1_conv (Con (None, 32, 64, 32) 4128 vision_conv3_block2_elu_out[0][0]
__________________________________________________________________________________________________
vision_conv3_block3_1_bn (Batch (None, 32, 64, 32) 128 vision_conv3_block3_1_conv[0][0]
__________________________________________________________________________________________________
vision_conv3_block3_1_elu (Acti (None, 32, 64, 32) 0 vision_conv3_block3_1_bn[0][0]
__________________________________________________________________________________________________
vision_conv3_block3_2_conv (Con (None, 32, 64, 32) 9248 vision_conv3_block3_1_elu[0][0]
__________________________________________________________________________________________________
vision_conv3_block3_2_bn (Batch (None, 32, 64, 32) 128 vision_conv3_block3_2_conv[0][0]
__________________________________________________________________________________________________
vision_conv3_block3_2_elu (Acti (None, 32, 64, 32) 0 vision_conv3_block3_2_bn[0][0]
__________________________________________________________________________________________________
vision_conv3_block3_3_conv (Con (None, 32, 64, 128) 4224 vision_conv3_block3_2_elu[0][0]
__________________________________________________________________________________________________
vision_conv3_block3_3_bn (Batch (None, 32, 64, 128) 512 vision_conv3_block3_3_conv[0][0]
__________________________________________________________________________________________________
vision_conv3_block3_add (Add) (None, 32, 64, 128) 0 vision_conv3_block2_elu_out[0][0]
vision_conv3_block3_3_bn[0][0]
__________________________________________________________________________________________________
vision_conv3_block3_elu_out (Ac (None, 32, 64, 128) 0 vision_conv3_block3_add[0][0]
__________________________________________________________________________________________________
vision_conv3_block4_1_conv (Con (None, 32, 64, 32) 4128 vision_conv3_block3_elu_out[0][0]
__________________________________________________________________________________________________
vision_conv3_block4_1_bn (Batch (None, 32, 64, 32) 128 vision_conv3_block4_1_conv[0][0]
__________________________________________________________________________________________________
vision_conv3_block4_1_elu (Acti (None, 32, 64, 32) 0 vision_conv3_block4_1_bn[0][0]
__________________________________________________________________________________________________
vision_conv3_block4_2_conv (Con (None, 32, 64, 32) 9248 vision_conv3_block4_1_elu[0][0]
__________________________________________________________________________________________________
vision_conv3_block4_2_bn (Batch (None, 32, 64, 32) 128 vision_conv3_block4_2_conv[0][0]
__________________________________________________________________________________________________
vision_conv3_block4_2_elu (Acti (None, 32, 64, 32) 0 vision_conv3_block4_2_bn[0][0]
__________________________________________________________________________________________________
vision_conv3_block4_3_conv (Con (None, 32, 64, 128) 4224 vision_conv3_block4_2_elu[0][0]
__________________________________________________________________________________________________
vision_conv3_block4_3_bn (Batch (None, 32, 64, 128) 512 vision_conv3_block4_3_conv[0][0]
__________________________________________________________________________________________________
vision_conv3_block4_add (Add) (None, 32, 64, 128) 0 vision_conv3_block3_elu_out[0][0]
vision_conv3_block4_3_bn[0][0]
__________________________________________________________________________________________________
vision_conv3_block4_elu_out (Ac (None, 32, 64, 128) 0 vision_conv3_block4_add[0][0]
__________________________________________________________________________________________________
vision_conv4_block1_1_conv (Con (None, 16, 32, 48) 6192 vision_conv3_block4_elu_out[0][0]
__________________________________________________________________________________________________
vision_conv4_block1_1_bn (Batch (None, 16, 32, 48) 192 vision_conv4_block1_1_conv[0][0]
__________________________________________________________________________________________________
vision_conv4_block1_1_elu (Acti (None, 16, 32, 48) 0 vision_conv4_block1_1_bn[0][0]
__________________________________________________________________________________________________
vision_conv4_block1_2_conv (Con (None, 16, 32, 48) 20784 vision_conv4_block1_1_elu[0][0]
__________________________________________________________________________________________________
vision_conv4_block1_2_bn (Batch (None, 16, 32, 48) 192 vision_conv4_block1_2_conv[0][0]
__________________________________________________________________________________________________
vision_conv4_block1_2_elu (Acti (None, 16, 32, 48) 0 vision_conv4_block1_2_bn[0][0]
__________________________________________________________________________________________________
vision_conv4_block1_0_conv (Con (None, 16, 32, 192) 24768 vision_conv3_block4_elu_out[0][0]
__________________________________________________________________________________________________
vision_conv4_block1_3_conv (Con (None, 16, 32, 192) 9408 vision_conv4_block1_2_elu[0][0]
__________________________________________________________________________________________________
vision_conv4_block1_0_bn (Batch (None, 16, 32, 192) 768 vision_conv4_block1_0_conv[0][0]
__________________________________________________________________________________________________
vision_conv4_block1_3_bn (Batch (None, 16, 32, 192) 768 vision_conv4_block1_3_conv[0][0]
__________________________________________________________________________________________________
vision_conv4_block1_add (Add) (None, 16, 32, 192) 0 vision_conv4_block1_0_bn[0][0]
vision_conv4_block1_3_bn[0][0]
__________________________________________________________________________________________________
vision_conv4_block1_elu_out (Ac (None, 16, 32, 192) 0 vision_conv4_block1_add[0][0]
__________________________________________________________________________________________________
vision_conv4_block2_1_conv (Con (None, 16, 32, 48) 9264 vision_conv4_block1_elu_out[0][0]
__________________________________________________________________________________________________
vision_conv4_block2_1_bn (Batch (None, 16, 32, 48) 192 vision_conv4_block2_1_conv[0][0]
__________________________________________________________________________________________________
vision_conv4_block2_1_elu (Acti (None, 16, 32, 48) 0 vision_conv4_block2_1_bn[0][0]
__________________________________________________________________________________________________
vision_conv4_block2_2_conv (Con (None, 16, 32, 48) 20784 vision_conv4_block2_1_elu[0][0]
__________________________________________________________________________________________________
vision_conv4_block2_2_bn (Batch (None, 16, 32, 48) 192 vision_conv4_block2_2_conv[0][0]
__________________________________________________________________________________________________
vision_conv4_block2_2_elu (Acti (None, 16, 32, 48) 0 vision_conv4_block2_2_bn[0][0]
__________________________________________________________________________________________________
vision_conv4_block2_3_conv (Con (None, 16, 32, 192) 9408 vision_conv4_block2_2_elu[0][0]
__________________________________________________________________________________________________
vision_conv4_block2_3_bn (Batch (None, 16, 32, 192) 768 vision_conv4_block2_3_conv[0][0]
__________________________________________________________________________________________________
vision_conv4_block2_add (Add) (None, 16, 32, 192) 0 vision_conv4_block1_elu_out[0][0]
vision_conv4_block2_3_bn[0][0]
__________________________________________________________________________________________________
vision_conv4_block2_elu_out (Ac (None, 16, 32, 192) 0 vision_conv4_block2_add[0][0]
__________________________________________________________________________________________________
vision_conv4_block3_1_conv (Con (None, 16, 32, 48) 9264 vision_conv4_block2_elu_out[0][0]
__________________________________________________________________________________________________
vision_conv4_block3_1_bn (Batch (None, 16, 32, 48) 192 vision_conv4_block3_1_conv[0][0]
__________________________________________________________________________________________________
vision_conv4_block3_1_elu (Acti (None, 16, 32, 48) 0 vision_conv4_block3_1_bn[0][0]
__________________________________________________________________________________________________
vision_conv4_block3_2_conv (Con (None, 16, 32, 48) 20784 vision_conv4_block3_1_elu[0][0]
__________________________________________________________________________________________________
vision_conv4_block3_2_bn (Batch (None, 16, 32, 48) 192 vision_conv4_block3_2_conv[0][0]
__________________________________________________________________________________________________
vision_conv4_block3_2_elu (Acti (None, 16, 32, 48) 0 vision_conv4_block3_2_bn[0][0]
__________________________________________________________________________________________________
vision_conv4_block3_3_conv (Con (None, 16, 32, 192) 9408 vision_conv4_block3_2_elu[0][0]
__________________________________________________________________________________________________
vision_conv4_block3_3_bn (Batch (None, 16, 32, 192) 768 vision_conv4_block3_3_conv[0][0]
__________________________________________________________________________________________________
vision_conv4_block3_add (Add) (None, 16, 32, 192) 0 vision_conv4_block2_elu_out[0][0]
vision_conv4_block3_3_bn[0][0]
__________________________________________________________________________________________________
vision_conv4_block3_elu_out (Ac (None, 16, 32, 192) 0 vision_conv4_block3_add[0][0]
__________________________________________________________________________________________________
vision_conv4_block4_1_conv (Con (None, 16, 32, 48) 9264 vision_conv4_block3_elu_out[0][0]
__________________________________________________________________________________________________
vision_conv4_block4_1_bn (Batch (None, 16, 32, 48) 192 vision_conv4_block4_1_conv[0][0]
__________________________________________________________________________________________________
vision_conv4_block4_1_elu (Acti (None, 16, 32, 48) 0 vision_conv4_block4_1_bn[0][0]
__________________________________________________________________________________________________
vision_conv4_block4_2_conv (Con (None, 16, 32, 48) 20784 vision_conv4_block4_1_elu[0][0]
__________________________________________________________________________________________________
vision_conv4_block4_2_bn (Batch (None, 16, 32, 48) 192 vision_conv4_block4_2_conv[0][0]
__________________________________________________________________________________________________
vision_conv4_block4_2_elu (Acti (None, 16, 32, 48) 0 vision_conv4_block4_2_bn[0][0]
__________________________________________________________________________________________________
vision_conv4_block4_3_conv (Con (None, 16, 32, 192) 9408 vision_conv4_block4_2_elu[0][0]
__________________________________________________________________________________________________
vision_conv4_block4_3_bn (Batch (None, 16, 32, 192) 768 vision_conv4_block4_3_conv[0][0]
__________________________________________________________________________________________________
vision_conv4_block4_add (Add) (None, 16, 32, 192) 0 vision_conv4_block3_elu_out[0][0]
vision_conv4_block4_3_bn[0][0]
__________________________________________________________________________________________________
vision_conv4_block4_elu_out (Ac (None, 16, 32, 192) 0 vision_conv4_block4_add[0][0]
__________________________________________________________________________________________________
vision_conv4_block5_1_conv (Con (None, 16, 32, 48) 9264 vision_conv4_block4_elu_out[0][0]
__________________________________________________________________________________________________
vision_conv4_block5_1_bn (Batch (None, 16, 32, 48) 192 vision_conv4_block5_1_conv[0][0]
__________________________________________________________________________________________________
vision_conv4_block5_1_elu (Acti (None, 16, 32, 48) 0 vision_conv4_block5_1_bn[0][0]
__________________________________________________________________________________________________
vision_conv4_block5_2_conv (Con (None, 16, 32, 48) 20784 vision_conv4_block5_1_elu[0][0]
__________________________________________________________________________________________________
vision_conv4_block5_2_bn (Batch (None, 16, 32, 48) 192 vision_conv4_block5_2_conv[0][0]
__________________________________________________________________________________________________
vision_conv4_block5_2_elu (Acti (None, 16, 32, 48) 0 vision_conv4_block5_2_bn[0][0]
__________________________________________________________________________________________________
vision_conv4_block5_3_conv (Con (None, 16, 32, 192) 9408 vision_conv4_block5_2_elu[0][0]
__________________________________________________________________________________________________
vision_conv4_block5_3_bn (Batch (None, 16, 32, 192) 768 vision_conv4_block5_3_conv[0][0]
__________________________________________________________________________________________________
vision_conv4_block5_add (Add) (None, 16, 32, 192) 0 vision_conv4_block4_elu_out[0][0]
vision_conv4_block5_3_bn[0][0]
__________________________________________________________________________________________________
vision_conv4_block5_elu_out (Ac (None, 16, 32, 192) 0 vision_conv4_block5_add[0][0]
__________________________________________________________________________________________________
vision_conv4_block6_1_conv (Con (None, 16, 32, 48) 9264 vision_conv4_block5_elu_out[0][0]
__________________________________________________________________________________________________
vision_conv4_block6_1_bn (Batch (None, 16, 32, 48) 192 vision_conv4_block6_1_conv[0][0]
__________________________________________________________________________________________________
vision_conv4_block6_1_elu (Acti (None, 16, 32, 48) 0 vision_conv4_block6_1_bn[0][0]
__________________________________________________________________________________________________
vision_conv4_block6_2_conv (Con (None, 16, 32, 48) 20784 vision_conv4_block6_1_elu[0][0]
__________________________________________________________________________________________________
vision_conv4_block6_2_bn (Batch (None, 16, 32, 48) 192 vision_conv4_block6_2_conv[0][0]
__________________________________________________________________________________________________
vision_conv4_block6_2_elu (Acti (None, 16, 32, 48) 0 vision_conv4_block6_2_bn[0][0]
__________________________________________________________________________________________________
vision_conv4_block6_3_conv (Con (None, 16, 32, 192) 9408 vision_conv4_block6_2_elu[0][0]
__________________________________________________________________________________________________
vision_conv4_block6_3_bn (Batch (None, 16, 32, 192) 768 vision_conv4_block6_3_conv[0][0]
__________________________________________________________________________________________________
vision_conv4_block6_add (Add) (None, 16, 32, 192) 0 vision_conv4_block5_elu_out[0][0]
vision_conv4_block6_3_bn[0][0]
__________________________________________________________________________________________________
vision_conv4_block6_elu_out (Ac (None, 16, 32, 192) 0 vision_conv4_block6_add[0][0]
__________________________________________________________________________________________________
vision_conv5_block1_1_conv (Con (None, 8, 16, 64) 12352 vision_conv4_block6_elu_out[0][0]
__________________________________________________________________________________________________
vision_conv5_block1_1_bn (Batch (None, 8, 16, 64) 256 vision_conv5_block1_1_conv[0][0]
__________________________________________________________________________________________________
vision_conv5_block1_1_elu (Acti (None, 8, 16, 64) 0 vision_conv5_block1_1_bn[0][0]
__________________________________________________________________________________________________
vision_conv5_block1_2_conv (Con (None, 8, 16, 64) 36928 vision_conv5_block1_1_elu[0][0]
__________________________________________________________________________________________________
vision_conv5_block1_2_bn (Batch (None, 8, 16, 64) 256 vision_conv5_block1_2_conv[0][0]
__________________________________________________________________________________________________
vision_conv5_block1_2_elu (Acti (None, 8, 16, 64) 0 vision_conv5_block1_2_bn[0][0]
__________________________________________________________________________________________________
vision_conv5_block1_0_conv (Con (None, 8, 16, 256) 49408 vision_conv4_block6_elu_out[0][0]
__________________________________________________________________________________________________
vision_conv5_block1_3_conv (Con (None, 8, 16, 256) 16640 vision_conv5_block1_2_elu[0][0]
__________________________________________________________________________________________________
vision_conv5_block1_0_bn (Batch (None, 8, 16, 256) 1024 vision_conv5_block1_0_conv[0][0]
__________________________________________________________________________________________________
vision_conv5_block1_3_bn (Batch (None, 8, 16, 256) 1024 vision_conv5_block1_3_conv[0][0]
__________________________________________________________________________________________________
vision_conv5_block1_add (Add) (None, 8, 16, 256) 0 vision_conv5_block1_0_bn[0][0]
vision_conv5_block1_3_bn[0][0]
__________________________________________________________________________________________________
vision_conv5_block1_elu_out (Ac (None, 8, 16, 256) 0 vision_conv5_block1_add[0][0]
__________________________________________________________________________________________________
vision_conv5_block2_1_conv (Con (None, 8, 16, 64) 16448 vision_conv5_block1_elu_out[0][0]
__________________________________________________________________________________________________
vision_conv5_block2_1_bn (Batch (None, 8, 16, 64) 256 vision_conv5_block2_1_conv[0][0]
__________________________________________________________________________________________________
vision_conv5_block2_1_elu (Acti (None, 8, 16, 64) 0 vision_conv5_block2_1_bn[0][0]
__________________________________________________________________________________________________
vision_conv5_block2_2_conv (Con (None, 8, 16, 64) 36928 vision_conv5_block2_1_elu[0][0]
__________________________________________________________________________________________________
vision_conv5_block2_2_bn (Batch (None, 8, 16, 64) 256 vision_conv5_block2_2_conv[0][0]
__________________________________________________________________________________________________
vision_conv5_block2_2_elu (Acti (None, 8, 16, 64) 0 vision_conv5_block2_2_bn[0][0]
__________________________________________________________________________________________________
vision_conv5_block2_3_conv (Con (None, 8, 16, 256) 16640 vision_conv5_block2_2_elu[0][0]
__________________________________________________________________________________________________
vision_conv5_block2_3_bn (Batch (None, 8, 16, 256) 1024 vision_conv5_block2_3_conv[0][0]
__________________________________________________________________________________________________
vision_conv5_block2_add (Add) (None, 8, 16, 256) 0 vision_conv5_block1_elu_out[0][0]
vision_conv5_block2_3_bn[0][0]
__________________________________________________________________________________________________
vision_conv5_block2_elu_out (Ac (None, 8, 16, 256) 0 vision_conv5_block2_add[0][0]
__________________________________________________________________________________________________
vision_conv5_block3_1_conv (Con (None, 8, 16, 64) 16448 vision_conv5_block2_elu_out[0][0]
__________________________________________________________________________________________________
vision_conv5_block3_1_bn (Batch (None, 8, 16, 64) 256 vision_conv5_block3_1_conv[0][0]
__________________________________________________________________________________________________
vision_conv5_block3_1_elu (Acti (None, 8, 16, 64) 0 vision_conv5_block3_1_bn[0][0]
__________________________________________________________________________________________________
vision_conv5_block3_2_conv (Con (None, 8, 16, 64) 36928 vision_conv5_block3_1_elu[0][0]
__________________________________________________________________________________________________
vision_conv5_block3_2_bn (Batch (None, 8, 16, 64) 256 vision_conv5_block3_2_conv[0][0]
__________________________________________________________________________________________________
vision_conv5_block3_2_elu (Acti (None, 8, 16, 64) 0 vision_conv5_block3_2_bn[0][0]
__________________________________________________________________________________________________
vision_conv5_block3_3_conv (Con (None, 8, 16, 256) 16640 vision_conv5_block3_2_elu[0][0]
__________________________________________________________________________________________________
vision_conv5_block3_3_bn (Batch (None, 8, 16, 256) 1024 vision_conv5_block3_3_conv[0][0]
__________________________________________________________________________________________________
vision_conv5_block3_add (Add) (None, 8, 16, 256) 0 vision_conv5_block2_elu_out[0][0]
vision_conv5_block3_3_bn[0][0]
__________________________________________________________________________________________________
vision_conv5_block3_elu_out (Ac (None, 8, 16, 256) 0 vision_conv5_block3_add[0][0]
__________________________________________________________________________________________________
vision_conv2d_2 (Conv2D) (None, 8, 16, 96) 221280 vision_conv5_block3_elu_out[0][0]
__________________________________________________________________________________________________
vision_batch_normalization_1 (B (None, 8, 16, 96) 384 vision_conv2d_2[0][0]
__________________________________________________________________________________________________
vision_elu_2 (ELU) (None, 8, 16, 96) 0 vision_batch_normalization_1[0][0
__________________________________________________________________________________________________
vision_conv2d_3 (Conv2D) (None, 8, 16, 96) 83040 vision_elu_2[0][0]
__________________________________________________________________________________________________
vision_batch_normalization_2 (B (None, 8, 16, 96) 384 vision_conv2d_3[0][0]
__________________________________________________________________________________________________
vision_elu_3 (ELU) (None, 8, 16, 96) 0 vision_batch_normalization_2[0][0
__________________________________________________________________________________________________
vision_max_pooling2d (MaxPoolin (None, 4, 8, 96) 0 vision_elu_3[0][0]
__________________________________________________________________________________________________
vision_conv2d_4 (Conv2D) (None, 4, 8, 128) 110720 vision_max_pooling2d[0][0]
__________________________________________________________________________________________________
vision_batch_normalization_3 (B (None, 4, 8, 128) 512 vision_conv2d_4[0][0]
__________________________________________________________________________________________________
vision_elu_4 (ELU) (None, 4, 8, 128) 0 vision_batch_normalization_3[0][0
__________________________________________________________________________________________________
vision_conv2d_5 (Conv2D) (None, 4, 8, 128) 147584 vision_elu_4[0][0]
__________________________________________________________________________________________________
vision_batch_normalization_4 (B (None, 4, 8, 128) 512 vision_conv2d_5[0][0]
__________________________________________________________________________________________________
vision_elu_5 (ELU) (None, 4, 8, 128) 0 vision_batch_normalization_4[0][0
__________________________________________________________________________________________________
vision_max_pooling2d_1 (MaxPool (None, 2, 4, 128) 0 vision_elu_5[0][0]
__________________________________________________________________________________________________
vision_conv2d_6 (Conv2D) (None, 2, 4, 192) 221376 vision_max_pooling2d_1[0][0]
__________________________________________________________________________________________________
vision_batch_normalization_5 (B (None, 2, 4, 192) 768 vision_conv2d_6[0][0]
__________________________________________________________________________________________________
vision_elu_6 (ELU) (None, 2, 4, 192) 0 vision_batch_normalization_5[0][0
__________________________________________________________________________________________________
vision_conv2d_7 (Conv2D) (None, 2, 4, 192) 331968 vision_elu_6[0][0]
__________________________________________________________________________________________________
vision_batch_normalization_6 (B (None, 2, 4, 192) 768 vision_conv2d_7[0][0]
__________________________________________________________________________________________________
vision_elu_7 (ELU) (None, 2, 4, 192) 0 vision_batch_normalization_6[0][0
__________________________________________________________________________________________________
vision_conv2d_1 (Conv2D) (None, 8, 16, 4) 1028 vision_conv5_block3_elu_out[0][0]
__________________________________________________________________________________________________
vision_flatten_1 (Flatten) (None, 1536) 0 vision_elu_7[0][0]
__________________________________________________________________________________________________
vision_batch_normalization (Bat (None, 8, 16, 4) 16 vision_conv2d_1[0][0]
__________________________________________________________________________________________________
vision_dense (Dense) (None, 256) 393472 vision_flatten_1[0][0]
__________________________________________________________________________________________________
vision_elu_1 (ELU) (None, 8, 16, 4) 0 vision_batch_normalization[0][0]
__________________________________________________________________________________________________
vision_batch_normalization_7 (B (None, 256) 1024 vision_dense[0][0]
__________________________________________________________________________________________________
vision_flatten (Flatten) (None, 512) 0 vision_elu_1[0][0]
__________________________________________________________________________________________________
vision_elu_8 (ELU) (None, 256) 0 vision_batch_normalization_7[0][0
__________________________________________________________________________________________________
desire (InputLayer) [(None, 8)] 0
__________________________________________________________________________________________________
vision_vision_features (Concate (None, 768) 0 vision_flatten[0][0]
vision_elu_8[0][0]
__________________________________________________________________________________________________
snpe_desire_pleaser (Dense) (None, 8) 72 desire[0][0]
__________________________________________________________________________________________________
proc_features (Concatenate) (None, 776) 0 vision_vision_features[0][0]
snpe_desire_pleaser[0][0]
__________________________________________________________________________________________________
pre_gru_dense (Dense) (None, 512) 397824 proc_features[0][0]
__________________________________________________________________________________________________
rnn_state (InputLayer) [(None, 512)] 0
__________________________________________________________________________________________________
rnn_r (Dense) (None, 512) 262656 pre_gru_dense[0][0]
__________________________________________________________________________________________________
rnn_rr (Dense) (None, 512) 262656 rnn_state[0][0]
__________________________________________________________________________________________________
snpe_pleaser (Dense) (None, 512) 262656 rnn_state[0][0]
__________________________________________________________________________________________________
add_1 (Add) (None, 512) 0 rnn_r[0][0]
rnn_rr[0][0]
__________________________________________________________________________________________________
meta_dense_1 (Dense) (None, 256) 196864 vision_vision_features[0][0]
__________________________________________________________________________________________________
rnn_z (Dense) (None, 512) 262656 pre_gru_dense[0][0]
__________________________________________________________________________________________________
rnn_rz (Dense) (None, 512) 262656 rnn_state[0][0]
__________________________________________________________________________________________________
rnn_rh (Dense) (None, 512) 262656 snpe_pleaser[0][0]
__________________________________________________________________________________________________
activation (Activation) (None, 512) 0 add_1[0][0]
__________________________________________________________________________________________________
meta_relu_1 (ReLU) (None, 256) 0 meta_dense_1[0][0]
__________________________________________________________________________________________________
add (Add) (None, 512) 0 rnn_z[0][0]
rnn_rz[0][0]
__________________________________________________________________________________________________
rnn_h (Dense) (None, 512) 262656 pre_gru_dense[0][0]
__________________________________________________________________________________________________
multiply (Multiply) (None, 512) 0 rnn_rh[0][0]
activation[0][0]
__________________________________________________________________________________________________
meta_dense_2 (Dense) (None, 128) 32896 meta_relu_1[0][0]
__________________________________________________________________________________________________
activation_1 (Activation) (None, 512) 0 add[0][0]
__________________________________________________________________________________________________
add_2 (Add) (None, 512) 0 rnn_h[0][0]
multiply[0][0]
__________________________________________________________________________________________________
meta_relu_2 (ReLU) (None, 128) 0 meta_dense_2[0][0]
__________________________________________________________________________________________________
one_minus (Dense) (None, 512) 262656 activation_1[0][0]
__________________________________________________________________________________________________
activation_2 (Activation) (None, 512) 0 add_2[0][0]
__________________________________________________________________________________________________
meta_dense_3 (Dense) (None, 64) 8256 meta_relu_2[0][0]
__________________________________________________________________________________________________
multiply_1 (Multiply) (None, 512) 0 activation_1[0][0]
snpe_pleaser[0][0]
__________________________________________________________________________________________________
multiply_2 (Multiply) (None, 512) 0 one_minus[0][0]
activation_2[0][0]
__________________________________________________________________________________________________
meta_relu_3 (ReLU) (None, 64) 0 meta_dense_3[0][0]
__________________________________________________________________________________________________
add_3 (Add) (None, 512) 0 multiply_1[0][0]
multiply_2[0][0]
__________________________________________________________________________________________________
meta_dense_4 (Dense) (None, 64) 4160 meta_relu_3[0][0]
__________________________________________________________________________________________________
dense_1_path (Dense) (None, 256) 131328 add_3[0][0]
__________________________________________________________________________________________________
dense_1_left_lane (Dense) (None, 256) 131328 add_3[0][0]
__________________________________________________________________________________________________
dense_1_right_lane (Dense) (None, 256) 131328 add_3[0][0]
__________________________________________________________________________________________________
dense_1_lead (Dense) (None, 256) 131328 add_3[0][0]
__________________________________________________________________________________________________
dense_1_long_x (Dense) (None, 256) 196864 vision_vision_features[0][0]
__________________________________________________________________________________________________
dense_1_long_v (Dense) (None, 256) 196864 vision_vision_features[0][0]
__________________________________________________________________________________________________
dense_1_long_a (Dense) (None, 256) 196864 vision_vision_features[0][0]
__________________________________________________________________________________________________
meta_relu_4 (ReLU) (None, 64) 0 meta_dense_4[0][0]
__________________________________________________________________________________________________
relu_1_path (ReLU) (None, 256) 0 dense_1_path[0][0]
__________________________________________________________________________________________________
relu_1_left_lane (ReLU) (None, 256) 0 dense_1_left_lane[0][0]
__________________________________________________________________________________________________
relu_1_right_lane (ReLU) (None, 256) 0 dense_1_right_lane[0][0]
__________________________________________________________________________________________________
relu_1_lead (ReLU) (None, 256) 0 dense_1_lead[0][0]
__________________________________________________________________________________________________
relu_1_long_x (ReLU) (None, 256) 0 dense_1_long_x[0][0]
__________________________________________________________________________________________________
relu_1_long_v (ReLU) (None, 256) 0 dense_1_long_v[0][0]
__________________________________________________________________________________________________
relu_1_long_a (ReLU) (None, 256) 0 dense_1_long_a[0][0]
__________________________________________________________________________________________________
desire_final_dense (Dense) (None, 32) 2080 meta_relu_4[0][0]
__________________________________________________________________________________________________
dense_1 (Dense) (None, 64) 49216 vision_vision_features[0][0]
__________________________________________________________________________________________________
dense_2_path (Dense) (None, 192) 49344 relu_1_path[0][0]
__________________________________________________________________________________________________
dense_2_left_lane (Dense) (None, 192) 49344 relu_1_left_lane[0][0]
__________________________________________________________________________________________________
dense_2_right_lane (Dense) (None, 192) 49344 relu_1_right_lane[0][0]
__________________________________________________________________________________________________
dense_2_lead (Dense) (None, 192) 49344 relu_1_lead[0][0]
__________________________________________________________________________________________________
dense_2_long_x (Dense) (None, 192) 49344 relu_1_long_x[0][0]
__________________________________________________________________________________________________
dense_2_long_v (Dense) (None, 192) 49344 relu_1_long_v[0][0]
__________________________________________________________________________________________________
dense_2_long_a (Dense) (None, 192) 49344 relu_1_long_a[0][0]
__________________________________________________________________________________________________
desire_reshape (Reshape) (None, 4, 8) 0 desire_final_dense[0][0]
__________________________________________________________________________________________________
elu_9 (ELU) (None, 64) 0 dense_1[0][0]
__________________________________________________________________________________________________
relu_2_path (ReLU) (None, 192) 0 dense_2_path[0][0]
__________________________________________________________________________________________________
relu_2_left_lane (ReLU) (None, 192) 0 dense_2_left_lane[0][0]
__________________________________________________________________________________________________
relu_2_right_lane (ReLU) (None, 192) 0 dense_2_right_lane[0][0]
__________________________________________________________________________________________________
relu_2_lead (ReLU) (None, 192) 0 dense_2_lead[0][0]
__________________________________________________________________________________________________
relu_2_long_x (ReLU) (None, 192) 0 dense_2_long_x[0][0]
__________________________________________________________________________________________________
relu_2_long_v (ReLU) (None, 192) 0 dense_2_long_v[0][0]
__________________________________________________________________________________________________
relu_2_long_a (ReLU) (None, 192) 0 dense_2_long_a[0][0]
__________________________________________________________________________________________________
desire_pred (Softmax) (None, 4, 8) 0 desire_reshape[0][0]
__________________________________________________________________________________________________
dense_2 (Dense) (None, 32) 2080 elu_9[0][0]
__________________________________________________________________________________________________
dense_3_path (Dense) (None, 128) 24704 relu_2_path[0][0]
__________________________________________________________________________________________________
dense_3_left_lane (Dense) (None, 128) 24704 relu_2_left_lane[0][0]
__________________________________________________________________________________________________
dense_3_right_lane (Dense) (None, 128) 24704 relu_2_right_lane[0][0]
__________________________________________________________________________________________________
dense_3_lead (Dense) (None, 128) 24704 relu_2_lead[0][0]
__________________________________________________________________________________________________
dense_3_long_x (Dense) (None, 128) 24704 relu_2_long_x[0][0]
__________________________________________________________________________________________________
dense_3_long_v (Dense) (None, 128) 24704 relu_2_long_v[0][0]
__________________________________________________________________________________________________
dense_3_long_a (Dense) (None, 128) 24704 relu_2_long_a[0][0]
__________________________________________________________________________________________________
flatten_2 (Flatten) (None, 32) 0 desire_pred[0][0]
__________________________________________________________________________________________________
elu_10 (ELU) (None, 32) 0 dense_2[0][0]
__________________________________________________________________________________________________
relu_3_path (ReLU) (None, 128) 0 dense_3_path[0][0]
__________________________________________________________________________________________________
relu_3_left_lane (ReLU) (None, 128) 0 dense_3_left_lane[0][0]
__________________________________________________________________________________________________
relu_3_right_lane (ReLU) (None, 128) 0 dense_3_right_lane[0][0]
__________________________________________________________________________________________________
relu_3_lead (ReLU) (None, 128) 0 dense_3_lead[0][0]
__________________________________________________________________________________________________
relu_3_long_x (ReLU) (None, 128) 0 dense_3_long_x[0][0]
__________________________________________________________________________________________________
relu_3_long_v (ReLU) (None, 128) 0 dense_3_long_v[0][0]
__________________________________________________________________________________________________
relu_3_long_a (ReLU) (None, 128) 0 dense_3_long_a[0][0]
__________________________________________________________________________________________________
activation_3 (Activation) (None, 32) 0 flatten_2[0][0]
__________________________________________________________________________________________________
dense_3 (Dense) (None, 12) 396 elu_10[0][0]
__________________________________________________________________________________________________
path (Dense) (None, 385) 49665 relu_3_path[0][0]
__________________________________________________________________________________________________
left_lane (Dense) (None, 386) 49794 relu_3_left_lane[0][0]
__________________________________________________________________________________________________
right_lane (Dense) (None, 386) 49794 relu_3_right_lane[0][0]
__________________________________________________________________________________________________
lead (Dense) (None, 58) 7482 relu_3_lead[0][0]
__________________________________________________________________________________________________
long_x (Dense) (None, 200) 25800 relu_3_long_x[0][0]
__________________________________________________________________________________________________
long_v (Dense) (None, 200) 25800 relu_3_long_v[0][0]
__________________________________________________________________________________________________
long_a (Dense) (None, 200) 25800 relu_3_long_a[0][0]
__________________________________________________________________________________________________
meta (Dense) (None, 4) 260 meta_relu_4[0][0]
__________________________________________________________________________________________________
snpe_pleaser2 (Dense) (None, 32) 1056 activation_3[0][0]
__________________________________________________________________________________________________
pose (Activation) (None, 12) 0 dense_3[0][0]
==================================================================================================