Comments (6)
sarthakpati
commented on July 21, 2024
Thanks for the report, @ujjwalbaid0408. What are the details about the environment, i.e., the result of python ./gandlf_debugInfo after activing the appropriate virtual environment?
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ujjwalbaid0408
commented on July 21, 2024
I am running this using Google Colab:
GANDLF version: 0.0.20-dev
Git hash: 50f369f
Platform: Linux-6.1.58+-x86_64-with-glibc2.35
Machine: x86_64
Processor: x86_64
Architecture: 64bit ELF
Python environment:
Version: 3.10.12
Implementation: CPython
Compiler: GCC 11.4.0
Build: main Nov 20 2023 15:14:05
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sarthakpati
commented on July 21, 2024
Thanks!
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Geeks-Sid
commented on July 21, 2024
@sarthakpati Assigning this to myself
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sarthakpati
commented on July 21, 2024
@ujjwalbaid0408 can you check if the fix works for you?
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ujjwalbaid0408
commented on July 21, 2024
This is working now as expected. Thank You!
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Related Issues (20)
- Add unit testing for GANs
- Update GANDLF functionalities for compatibility with GAN pipelines
- AUROC error while running classification of pathology images HOT 3
- [FEATURE] Set `line-length` for `black` in the `project.toml` file HOT 1
- Config documentation for GANs
- Black configuration in pyproject.toml
- [FEATURE] Add the ability to split CSVs for training/validation/testing as a separate script HOT 1
- [FEATURE] Add the ability to generate training/validation/testing CSV with proportional splits HOT 1
- [FEATURE] Add tensorboard support HOT 2
- [FEATURE] speed up CI tests HOT 3
- [BUG] Moving from version `0.0.XX` to `0.Y.0` creates compatibility issues. HOT 2
- [FEATURE] Add a "migration guide" in documentation HOT 1
- [BUG] Trying to train a model for classification gives a weird warning HOT 1
- [FEATURE] Standardize the CLI option for output directory HOT 1
- [BUG] Loss signatures: CE Loss failure because of additional `params` argument HOT 2
- [FEATURE] Upgrade PyTorch to 2.2.1 HOT 2
- [BUG] Noise and Blur enhanced fail for certain images
- [FEATURE] Include the output of `pip list` for debug info HOT 1
- [FEATURE] add the nadam optimizer
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