Error converting keras model to pytorch

[nischa564]

Platform (like ubuntu 16.04/win10): win10

Python version: 3.8.5

Source framework with version (like Tensorflow 1.4.1 with GPU): Tensorflow 2.3.0 with GPU

Destination framework with version (like CNTK 2.3 with GPU): Pytorch 1.7.1

Pre-trained model path (webpath or webdisk path): https://keras.io/examples/vision/mnist_convnet/

Running scripts: mmconvert -sf keras -iw my_h5_model.h5 -df pytorch -om pytorch_model.pth

Hello, I try to convert a keras model to a pytorch model. The error I get is:

Traceback (most recent call last):
File "c:\users\nisch\anaconda3\envs\jntorchenv\lib\runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "c:\users\nisch\anaconda3\envs\jntorchenv\lib\runpy.py", line 87, in run_code
exec(code, run_globals)
File "C:\Users\Nisch\anaconda3\envs\jntorchenv\Scripts\mmconvert.exe_main.py", line 7, in
File "c:\users\nisch\anaconda3\envs\jntorchenv\lib\site-packages\mmdnn\conversion_script\convert.py", line 102, in _main
ret = convertToIR._convert(ir_args)
File "c:\users\nisch\anaconda3\envs\jntorchenv\lib\site-packages\mmdnn\conversion_script\convertToIR.py", line 46, in _convert
parser = Keras2Parser(model)
File "c:\users\nisch\anaconda3\envs\jntorchenv\lib\site-packages\mmdnn\conversion\keras\keras2_parser.py", line 136, in init
self.keras_graph.build()
File "c:\users\nisch\anaconda3\envs\jntorchenv\lib\site-packages\mmdnn\conversion\keras\keras2_graph.py", line 48, in build
for pred in node.inbound_layers:
TypeError: 'InputLayer' object is not iterable

[nischa564]

Hello, I solved this problem by using different versions:

Python version: 3.6.12

Source framework with version (like Tensorflow 1.4.1 with GPU): Tensorflow 1.15.2

Destination framework with version (like CNTK 2.3 with GPU): Pytorch 0.4.0

But now I am getting this error:
Traceback (most recent call last):
File "c:\users\nisch\anaconda3\envs\mmdnne\lib\site-packages\mmdnn\conversion\keras\keras2_parser.py", line 104, in init
from keras.applications.mobilenet import relu6
ImportError: cannot import name 'relu6'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "c:\users\nisch\anaconda3\envs\mmdnne\lib\runpy.py", line 193, in _run_module_as_main
"main", mod_spec)
File "c:\users\nisch\anaconda3\envs\mmdnne\lib\runpy.py", line 85, in run_code
exec(code, run_globals)
File "C:\Users\Nisch\anaconda3\envs\mmdnne\Scripts\mmconvert.exe_main.py", line 7, in
File "c:\users\nisch\anaconda3\envs\mmdnne\lib\site-packages\mmdnn\conversion_script\convert.py", line 102, in _main
ret = convertToIR._convert(ir_args)
File "c:\users\nisch\anaconda3\envs\mmdnne\lib\site-packages\mmdnn\conversion_script\convertToIR.py", line 46, in _convert
parser = Keras2Parser(model)
File "c:\users\nisch\anaconda3\envs\mmdnne\lib\site-packages\mmdnn\conversion\keras\keras2_parser.py", line 120, in init
'DepthwiseConv2D': layers.DepthwiseConv2D
File "c:\users\nisch\anaconda3\envs\mmdnne\lib\site-packages\keras\engine\saving.py", line 419, in load_model
model = deserialize_model(f, custom_objects, compile)
File "c:\users\nisch\anaconda3\envs\mmdnne\lib\site-packages\keras\engine\saving.py", line 225, in deserialize_model
model = model_from_config(model_config, custom_objects=custom_objects)
File "c:\users\nisch\anaconda3\envs\mmdnne\lib\site-packages\keras\engine\saving.py", line 458, in model_from_config
return deserialize(config, custom_objects=custom_objects)
File "c:\users\nisch\anaconda3\envs\mmdnne\lib\site-packages\keras\layers_init.py", line 55, in deserialize
printable_module_name='layer')
File "c:\users\nisch\anaconda3\envs\mmdnne\lib\site-packages\keras\utils\generic_utils.py", line 145, in deserialize_keras_object
list(custom_objects.items())))
File "c:\users\nisch\anaconda3\envs\mmdnne\lib\site-packages\keras\engine\sequential.py", line 300, in from_config
custom_objects=custom_objects)
File "c:\users\nisch\anaconda3\envs\mmdnne\lib\site-packages\keras\layers_init.py", line 55, in deserialize
printable_module_name='layer')
File "c:\users\nisch\anaconda3\envs\mmdnne\lib\site-packages\keras\utils\generic_utils.py", line 147, in deserialize_keras_object
return cls.from_config(config['config'])
File "c:\users\nisch\anaconda3\envs\mmdnne\lib\site-packages\keras\engine\base_layer.py", line 1109, in from_config
return cls(**config)
File "c:\users\nisch\anaconda3\envs\mmdnne\lib\site-packages\keras\legacy\interfaces.py", line 91, in wrapper
return func(*args, **kwargs)
File "c:\users\nisch\anaconda3\envs\mmdnne\lib\site-packages\keras\layers\convolutional.py", line 490, in init
**kwargs)
File "c:\users\nisch\anaconda3\envs\mmdnne\lib\site-packages\keras\layers\convolutional.py", line 117, in init
self.kernel_initializer = initializers.get(kernel_initializer)
File "c:\users\nisch\anaconda3\envs\mmdnne\lib\site-packages\keras\initializers.py", line 508, in get
return deserialize(identifier)
File "c:\users\nisch\anaconda3\envs\mmdnne\lib\site-packages\keras\initializers.py", line 503, in deserialize
printable_module_name='initializer')
File "c:\users\nisch\anaconda3\envs\mmdnne\lib\site-packages\keras\utils\generic_utils.py", line 138, in deserialize_keras_object
': ' + class_name)
ValueError: Unknown initializer: GlorotUniform