lightning/environment.yml

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# This is Conda environment file
# Usage: `conda env update -f environment.yml`
name:
pl-env
channels:
- conda-forge
- pytorch
dependencies:
#- python=3.7.6
- pip>=20.0.2
- numpy>=1.16.4
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- pytorch>=1.3
- tensorboard==2.2.1
- future>=0.17.1
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- PyYAML>=5.1
- tqdm>=4.41.0
- nvidia-apex
# For dev and testing
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- black==19.10b0
- check-manifest
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- cloudpickle>=1.2
- coverage
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- codecov>=2.1
- pytest>=3.0.5
- pytest-cov
- pytest-flake8
- flake8
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- flake8-black
- autopep8
- twine==1.13.0
Rework of Sklearn Metrics (#1327) * Create utils.py * Create __init__.py * redo sklearn metrics * add some more metrics * add sklearn metrics * Create __init__.py * redo sklearn metrics * New metric classes (#1326) * Create metrics package * Create metric.py * Create utils.py * Create __init__.py * add tests for metric utils * add docstrings for metrics utils * add function to recursively apply other function to collection * add tests for this function * update test * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * update metric name * remove example docs * fix tests * add metric tests * fix to tensor conversion * fix apply to collection * Update CHANGELOG.md * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * remove tests from init * add missing type annotations * rename utils to convertors * Create metrics.rst * Update index.rst * Update index.rst * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * add doctest example * rename file and fix imports * added parametrized test * replace lambda with inlined function * rename apply_to_collection to apply_func * Separated class description from init args * Apply suggestions from code review Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * adjust random values * suppress output when seeding * remove gpu from doctest * Add requested changes and add ellipsis for doctest * forgot to push these files... * add explicit check for dtype to convert to * fix ddp tests * remove explicit ddp destruction Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * add sklearn metrics * start adding sklearn tests * fix typo * return x and y only for curves * fix typo * add missing tests for sklearn funcs * imports * __all__ * imports * fix sklearn arguments * fix imports * update requirements * Update CHANGELOG.md * Update test_sklearn_metrics.py * formatting * formatting * format * fix all warnings and formatting problems * Update environment.yml * Update requirements-extra.txt * Update environment.yml * Update requirements-extra.txt * fix all warnings and formatting problems * Update CHANGELOG.md * docs * inherit * docs inherit. * docs * Apply suggestions from code review Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> * docs * req * min * Apply suggestions from code review Co-authored-by: Tullie Murrell <tulliemurrell@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> Co-authored-by: Tullie Murrell <tulliemurrell@gmail.com>
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- pillow<7.0.0
- scikit-image
- nltk>=3.3
# Optional
Rework of Sklearn Metrics (#1327) * Create utils.py * Create __init__.py * redo sklearn metrics * add some more metrics * add sklearn metrics * Create __init__.py * redo sklearn metrics * New metric classes (#1326) * Create metrics package * Create metric.py * Create utils.py * Create __init__.py * add tests for metric utils * add docstrings for metrics utils * add function to recursively apply other function to collection * add tests for this function * update test * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * update metric name * remove example docs * fix tests * add metric tests * fix to tensor conversion * fix apply to collection * Update CHANGELOG.md * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * remove tests from init * add missing type annotations * rename utils to convertors * Create metrics.rst * Update index.rst * Update index.rst * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * add doctest example * rename file and fix imports * added parametrized test * replace lambda with inlined function * rename apply_to_collection to apply_func * Separated class description from init args * Apply suggestions from code review Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * adjust random values * suppress output when seeding * remove gpu from doctest * Add requested changes and add ellipsis for doctest * forgot to push these files... * add explicit check for dtype to convert to * fix ddp tests * remove explicit ddp destruction Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * add sklearn metrics * start adding sklearn tests * fix typo * return x and y only for curves * fix typo * add missing tests for sklearn funcs * imports * __all__ * imports * fix sklearn arguments * fix imports * update requirements * Update CHANGELOG.md * Update test_sklearn_metrics.py * formatting * formatting * format * fix all warnings and formatting problems * Update environment.yml * Update requirements-extra.txt * Update environment.yml * Update requirements-extra.txt * fix all warnings and formatting problems * Update CHANGELOG.md * docs * inherit * docs inherit. * docs * Apply suggestions from code review Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> * docs * req * min * Apply suggestions from code review Co-authored-by: Tullie Murrell <tulliemurrell@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> Co-authored-by: Tullie Murrell <tulliemurrell@gmail.com>
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- scikit-learn>=0.20.0
- matplotlib>=3.1.1
- omegaconf>=2.0.0
- torchtext>=0.3.1
- pip:
- test-tube>=0.7.5
- mlflow>=1.0.0
- comet_ml>=3.1.12
- wandb>=0.8.21
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- neptune-client>=0.4.109
- horovod>=0.19.1
- onnxruntime>=1.3.0