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fjxmlzn avatar fjxmlzn commented on July 29, 2024

Could you please provide the content inside "data_feature_output.pkl" that you prepared?

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dgtriantis avatar dgtriantis commented on July 29, 2024

Thanks a lot for the quick response, much appreciated! Turns out there was a minor mistake in the pickle file. It runs now!

I am also having a little trouble with the training as the following error occurs:

"Failed to create a NewWriteableFile: ./test/checkpoint\epoch_id-4\model-179.data-00000-of-00001.tempstate10424354672339237629 : The system cannot find the path specified."

I checked what was said here (#30) and I tried out the solution of chameleonzz but it caused problems in the following generation of data.

I see that you provided a possible solution in the case where the GPUTaskScheduler is used. I wonder if you could provide a solution to the said problem when using the example training WITHOUT the GPUTaskScheduler.

Thanks again!

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fjxmlzn avatar fjxmlzn commented on July 29, 2024

I just merged the fixes from the master branch to TF2 branch. Can you re-download the code and try again? Thanks!

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dgtriantis avatar dgtriantis commented on July 29, 2024

After the changes you made it runs, thanks!

When generating samples, I am running in two problems:

  1. The same as #28
    Do you have any input on this?

  2. The results are not logical, all attributes have 0 or 1 value and the features do not seem to have the required behavior.
    What could I do about that? Would running the training for more epochs and a lower sample_len help?

Again thank you for your help!

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fjxmlzn avatar fjxmlzn commented on July 29, 2024

To use DoppelGANger, you will need to normalize the features into 01 or -11 and indicate the normalization method in the pkl files. From the screenshot you showed, the data is not normalized yet. It will cause problems in training.

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dgtriantis avatar dgtriantis commented on July 29, 2024

Ok, thank you for all the help!

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