Comments (6)
From my debug, I found the error came from this line
diags_train, diags_test = [D[dt][train_sub, :] for dt in range(num_filt)], [D[dt][test_sub, :] for dt in range(num_filt)]
The resulting diags_train or diags_test is already a list.
But model.fit(x=[diags_train, feats_train] ...
requires the input to be array or a list of array.
Any hints to modify the code?
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Hello,
Thanks for your message.
Mmmh this is weird, I can't reproduce the error, I wonder if this is an Anaconda thing. Could you tell me what cells did you run exactly in the notebook prior to getting the error?
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Hi, @MathieuCarriere ,
Thanks for your reply. Please check the following for my running.
tutorialPersLay.html
tutorialPersLay.ipynb
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OK thanks and which tensorflow version are you using?
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@MathieuCarriere , tensorflow 2.0.0.
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Could you try updating to 2.4.0?
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Related Issues (11)
- Error when running tutorialPersLay.ipynb HOT 1
- POT library is not listed at dependencies HOT 1
- Extended persistence implementation HOT 1
- error when running tutorialPersLay.ipynb HOT 2
- during the training in tutorialPersLay.ipynb HOT 1
- error on Google Colab for tutorialPersLay.ipynb HOT 1
- There is a problem when training the network. Please support. HOT 4
- 'generate_diagrams_and_features' is not defined
- Issue with RationalHat layer, local variable 'LVinit' referenced before assignment
- Possible issue while dataset = "NCI1" or dataset = "NCI109"
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