Error in running tiny-vgg.py about cnn-explainer HOT 6 CLOSED

Hello @ScorpLee, I just tested to run tiny-vgg.py on 758064d on macOS, and I couldn't reproduce the error.

Could you please copy the commands you have run and the error log here? It can help us better troubleshoot it 😃

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Oops, the screenshot didn't show up in the thread. Maybe you can try to upload it through the GitHub issue website?

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Hi,
I think it has something to do with the system. Maybe I didn't set up the environment properly. I noticed the environment.yaml only has mac-os and windows version. I ran it on windows, too and it was fine. Just wondering if the trained test accuracy is around 67.2000 and test loss 1.1124? I'm not 100% confident.

The command was: python tiny-vgg.py.

ValueError: in converted code:

tiny-vgg.py:223 train_step *
    predictions = tiny_vgg(image_batch)
/usr/local/anaconda3/lib/python3.7/site-packages/tensorflow/python/keras/engine/base_layer.py:586 __call__
    self.name)
/usr/local/anaconda3/lib/python3.7/site-packages/tensorflow/python/keras/engine/input_spec.py:111 assert_input_compatibility
    layer_name + ' is incompatible with the layer: '

ValueError: Input 0 of layer sequential is incompatible with the layer: its rank is undefined, but the layer requires a defined rank.

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Thanks! Yes, the test accuracy and loss look correct :)

I just tested tiny-vgg.py on Ubuntu 16.04.3 and it worked fine. Could you please double check you are using the latest environment.yaml? I have updated it on the master branch few weeks ago. This environment file should work across different operating systems.

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Hey @ScorpLee , I will close the issue for now. Let me know if #21 (comment) didn't help you fix the issue.

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