The version 2.4.3 of keras does not work with tensorflow 2.2.0 on python 3.7
File "/home/pi/.pyenv/versions/3.7.7/lib/python3.7/site-packages/tensorflow_core/python/keras/saving/save.py", line 146, in load_model
return hdf5_format.load_model_from_hdf5(filepath, custom_objects, compile)
File "/home/pi/.pyenv/versions/3.7.7/lib/python3.7/site-packages/tensorflow_core/python/keras/saving/hdf5_format.py", line 184, in load_model_from_hdf5
training_config, custom_objects))
File "/home/pi/.pyenv/versions/3.7.7/lib/python3.7/site-packages/tensorflow_core/python/keras/saving/saving_utils.py", line 242, in compile_args_from_training_config
sample_weight_mode = training_config['sample_weight_mode']
KeyError: 'sample_weight_mode'
Even if i pass a hdf5 checkpoint or a fully saved model .h5 , the error is the same.
I have tested another built of tensorflow 2.2.0 but for a amd64 linux machine with python 3.6.10 and it worked without any problems.
If you could post reupload the python3.6 builds it would be great.
The version 2.4.3 of keras does not work with tensorflow 2.2.0 on python 3.7
Even if i pass a hdf5 checkpoint or a fully saved model .h5 , the error is the same.
I have tested another built of tensorflow 2.2.0 but for a amd64 linux machine with python 3.6.10 and it worked without any problems.
If you could post reupload the python3.6 builds it would be great.