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

[YangMingJerry]

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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Expected behavior
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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]

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]

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]

@AzazelHD I think that's an Onnx2Keras issue.