Comments (3)
manjithadulana98
commented on June 11, 2024
I have also stuck with the same error @nargesgoshtasbi did you got a solution
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SharifAmit
commented on June 11, 2024
Hi,
The current master branch is for tf 2.0 which the colab does not support. And to re create our results you would need to install this version in a local vm or cluster which supports tf 2.0. Please go through the readme.MD again.
You can try the branch with the tf 2.6 version in colab. This will require you to uninstall any tf versions in colab and re install tf 2.6 afterwards.
https://github.com/SharifAmit/RVGAN/tree/tf-2.6
However, tf 2.6 is an experimental version and we did not train or test our models on this so there might be stability issues in results.
Thanks
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narjesgoshtasbi
commented on June 11, 2024
Hi. It seems that Colab does not support tf==2.6 too!
I should try the project when have access to another gpu server! Please let me know if other solutions exist.
Thank you.
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Related Issues (20)
- Inference time HOT 1
- Code for printing the metrics HOT 5
- Some questions about the paper and code HOT 9
- pretrained model of chase can't be loaded HOT 16
- Killed error HOT 1
- local_plot predictions always blank HOT 3
- How to determine the best model HOT 4
- need help! HOT 2
- Hello! HOT 5
- Hi~ HOT 1
- Having nan value for all the losses HOT 1
- libtiff error
- the generation of the final output image HOT 2
- When we run train.py, I find the loss is 'nan' at epchs 2. Do you have this problem. I want to know why and how to solve it. HOT 1
- Question HOT 12
- whether we need to pay attention to some details during training? HOT 12
- Question about loss decline HOT 2
- How should we train the model using tf 2.6.0? HOT 4
- Warning while training HOT 2
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