/bin/python3.8 /workspaces/WaveletDeconv/testWD.py
2023-06-05 09:55:20.305859: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
Testing saving...
Traceback (most recent call last):
File "/workspaces/WaveletDeconv/testWD.py", line 91, in
modelWD.save_weights('testWD_model.h5')
File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 70, in error_handler
raise e.with_traceback(filtered_tb) from None
File "/usr/local/lib/python3.8/dist-packages/keras/engine/training.py", line 3540, in _assert_weights_created
raise ValueError(
ValueError: Weights for model 'sequential' have not yet been created. Weights are created when the model is first called on inputs or build() is called with an input_shape.
/bin/python3.8 /workspaces/WaveletDeconv/testWD.py 2023-06-05 09:55:20.305859: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. Testing saving... Traceback (most recent call last): File "/workspaces/WaveletDeconv/testWD.py", line 91, in
modelWD.save_weights('testWD_model.h5')
File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 70, in error_handler
raise e.with_traceback(filtered_tb) from None
File "/usr/local/lib/python3.8/dist-packages/keras/engine/training.py", line 3540, in _assert_weights_created
raise ValueError(
ValueError: Weights for model 'sequential' have not yet been created. Weights are created when the model is first called on inputs or
build()is called with aninput_shape.