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tensorlayer / SRGAN

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
https://github.com/tensorlayer/tensorlayerx
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tensorlayerx.nn.layers.deprecated.NonExistingLayerError: SequentialLayer(layer) --> Sequential(layer)(in) #244

Open wajoud opened 2 years ago

wajoud commented 2 years ago

Using TensorFlow backend. 2022-04-26 18:53:56.612121: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: SSE4.1 SSE4.2 AVX AVX2 AVX512F FMA To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. 2022-04-26 18:53:56.616458: I tensorflow/core/common_runtime/process_util.cc:146] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance. Traceback (most recent call last): File "/home/wajoud/srgan/train.py", line 105, in G = SRGAN_g() File "/home/wajoud/srgan/srgan.py", line 34, in init self.residual_block = self.make_layer() File "/home/wajoud/srgan/srgan.py", line 46, in make_layer return SequentialLayer(layer_list) File "/home/wajoud/anaconda3/envs/srgan/lib/python3.9/site-packages/tensorlayerx/nn/layers/deprecated.py", line 451, in SequentialLayer raise NonExistingLayerError("SequentialLayer(layer) --> Sequential(layer)(in)" + log) tensorlayerx.nn.layers.deprecated.NonExistingLayerError: SequentialLayer(layer) --> Sequential(layer)(in) Hint: 1) downgrade TL from version TensorLayerX to TensorLayer2.x. 2) check the documentation of TF version 2.x and TL version X

facing this issue can someone help me out !! thank you

hanjr92 commented 2 years ago

Sorry too late to reply you! I will update my code and fix this bug. @wajoud

hanjr92 commented 2 years ago

I have updated codes. Now, you can run this script under TensorLayerX. If you like this project, please support it and star it : ). @wajoud