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Keras model exception when predict "Default MaxpoolingOp only supports NHWC on device type CPU" #122

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YangMingJerry opened this issue Nov 5, 2020 · 3 comments
Open

Keras model exception when predict "Default MaxpoolingOp only supports NHWC on device type CPU" #122

YangMingJerry opened this issue Nov 5, 2020 · 3 comments
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@YangMingJerry
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Describe the bug
I successfully convert my CNN pytorch model to a keras model, and want to predict an input for testing it, but this exception occurs. My CPU is intel 8700 and my tensorflow and keras are both up to date.
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Environment (please complete the following information):

  • OS: [e.g. iOS]
  • Python [e.g. Python 2, Python 3]
  • Version [e.g. v0.1.11]

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@henriwoodcock-old
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On the homepage readme.md read the information under Important Notice here.

Alternatively you can pass change_ordering=True to the function pytorch_to_keras. And transpose your inputs to be in the format used by Tensorflow/Keras.

rand_tens = np.random.rand(1, 3, 224, 224)
print(rand_tens.shape)
(1,3,224,224)

transposed = np.transpose(rand_tens, [0, 2, 3, 1])
print(transposed.shape)
(1, 224, 224, 3)

@AzazelHD
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AzazelHD commented Jan 6, 2021

When passing change_order=True to the function it sais NotImplementedError: change_ordering for Slice is not implemented. So please, try to fix this. I really need it :(

@henriwoodcock-old
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@AzazelHD I think that's an Onnx2Keras issue.

@AzazelHD AzazelHD mentioned this issue Jan 6, 2021
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@henriwoodcock-old @AzazelHD @YangMingJerry