Comments (4)
leix28
commented on July 26, 2024
Interesting project! This repo will be added to "related projects".
Not sure if GPU can be specified in the script when there are multiple GPUs on the server?
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oregonpillow
commented on July 26, 2024
That's a good question, I think this should be possible. I will look into this...
I think something within https://pytorch.org/docs/stable/cuda.html could provide the answer.
On a similar note, earlier today I implemented early stopping, patience, logging, gpu_stats as parameters for the ctgan synthesizer fit class. #25. This allows the user to print basic gpu stats for each epoch running. Probably appeals mostly to people that get a satisfaction from watching their gpu temperature go up ;)
I haven’t yet merged my forked CTGAN repo with my ctgan-server-cli repo yet but plan to do this soon.
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Baukebrenninkmeijer
commented on July 26, 2024
Nice project @oregonpillow!
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csala
commented on July 26, 2024
This is already listed on the README, so I'm closing this issue for now. Great contribution @oregonpillow !
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Related Issues (20)
- ValueError: mismatch of shapes when sampling data for compas dataset HOT 2
- Return loss values as float values not PyTorch objects
- Transition from using setup.py to pyproject.toml to specify project metadata
- Remove bumpversion and use bump-my-version
- Switch to using ruff for Python linting and code formatting
- Add dependency checker
- Remove scikit-learn dependency
- CTGAN using deprecated 'sklearn' HOT 2
- Replace integration test that uses the iris demo data
- Add bandit workflow
- Feature Request: More verbose logging HOT 3
- Fix minimum version workflow when pointing to github branch
- Deployment requirements based on libtorch or ONNX HOT 4
- How to load this model directly to generate data after saving it HOT 4
- Cleanup automated PR workflows
- Remove FutureWarning: Setting an item of incompatible dtype is deprecated
- Only run unit and integration tests on oldest and latest python versions for macos
- [HELP] CTGAN has Reproducibility? HOT 8
- Add support for numpy 2.0.0
- Cap numpy to less than 2.0.0 until CTGan supports
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