Hello,
I have tried to embed a simple Keras model (tensorflow backend) to classify MNIST digits, which I trained in pyCharm. The model was saved as a standard h5 file and can be loaded and reused within pyCharm. Unfortunately, when I try to use the Network Reader Node I receive the following error message:
ERROR DL Keras Network Reader 2:17 An error occurred while communicating with Python (while reading in the Keras network).
Cause: An error occurred in Python: Traceback (most recent call last):
File “C:\Program Files\KNIME\plugins\org.knime.python2_3.5.0.v201712011355\py\PythonKernel.py”, line 491, in execute
exec(source_code, self._exec_env, self._exec_env)
File “”, line 3, in
File “C:\Program Files\KNIME\plugins\org.knime.dl.keras_3.5.3.v201804031044\py\DLKerasTensorFlowNetwork.py”, line 61, in read
model = self._read_internal(path, compile)
File “C:\Program Files\KNIME\plugins\org.knime.dl.keras_3.5.3.v201804031044\py\DLKerasNetwork.py”, line 97, in _read_internal
return load_model(path, compile=compile)
File “C:\Anaconda\envs\keras\lib\site-packages\keras\models.py”, line 258, in load_model
custom_objects=custom_objects)
File “C:\Anaconda\envs\keras\lib\site-packages\keras\optimizers.py”, line 689, in deserialize
printable_module_name=‘optimizer’)
File “C:\Anaconda\envs\keras\lib\site-packages\keras\utils\generic_utils.py”, line 142, in deserialize_keras_object
return cls.from_config(config[‘config’])
File “C:\Anaconda\envs\keras\lib\site-packages\keras\optimizers.py”, line 127, in from_config
return cls(**config)
File “C:\Anaconda\envs\keras\lib\site-packages\keras\optimizers.py”, line 403, in init
super(Adam, self).init(**kwargs)
File “C:\Anaconda\envs\keras\lib\site-packages\keras\optimizers.py”, line 63, in init
'passed to optimizer: ’ + str(k))
TypeError: Unexpected keyword argument passed to optimizer: amsgrad
WARN DL Keras Network Reader 2:17 Failed to read deep learning network specification. See log for details.
I can train Keras models within KNIME as well as using Example Workflows which are using the Network Reader node (for instance the “classify_images_using_inceptionV3” workflow).
Any Idea what I’am doing wrong? Thanks in advance.
Edit: Okay it works if I do not use adam as my optimizer. Any Idea how to fix this?