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GANModel Porting #3601

Merged
merged 12 commits into from Nov 6, 2023
Merged

GANModel Porting #3601

merged 12 commits into from Nov 6, 2023

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shreyasvinaya
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@shreyasvinaya shreyasvinaya commented Oct 8, 2023

Description

Porting of GANModel to Torch

Type of change

Please check the option that is related to your PR.

  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to not work as expected)
    • In this case, we recommend to discuss your modification on GitHub issues before creating the PR
  • Documentations (modification for documents)

Checklist

  • My code follows the style guidelines of this project
    • Run yapf -i <modified file> and check no errors (yapf version must be 0.32.0)
    • Run mypy -p deepchem and check no errors
    • Run flake8 <modified file> --count and check no errors
    • Run python -m doctest <modified file> and check no errors
  • I have performed a self-review of my own code
  • I have commented my code, particularly in hard-to-understand areas
  • I have made corresponding changes to the documentation
  • I have added tests that prove my fix is effective or that my feature works
  • New unit tests pass locally with my changes
  • I have checked my code and corrected any misspellings

@shreyasvinaya
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So presently i am using torch.randn as a placeholder so the tests pass randomly due to the nature of torch.randn

Tensorflow Keras tensors have a method tensor.ref() which gives metadata on the shape, which layer has created the KerasTensor object

The 2 tests checking for the mean of deltas are the ones failing


This class allows a GAN to have multiple generators and discriminators, a model
known as MIX+GAN. It is described in Arora et al., "Generalization and
Equilibrium in Generative Adversarial Nets (GANs)" (https://arxiv.org/abs/1703.00573).
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Link also to the reference below

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done


Examples
--------
<examples here>
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Add examples here before final review

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done

@shreyasvinaya shreyasvinaya marked this pull request as ready for review November 2, 2023 19:00
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@rbharath rbharath left a comment

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@shreyasvinaya This looks pretty clean. Are we fully matching the existing TF API? How are the number?

If API is the same and numbers are comparable we can probably merge in tomorrow

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LGTM

@rbharath rbharath merged commit 2c87061 into deepchem:master Nov 6, 2023
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2 participants