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* 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> * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/utilities/test_apply_to_collection.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/utilities/test_apply_to_collection.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Apply suggestions from code review 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> * move dtype device mixin to more general place * refactor to general device dtype mixin * add initial metric package description * change default to none for mac os * pep8 * fix import * Update index.rst * Update ci-testing.yml * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update CHANGELOG.md * Update pytorch_lightning/metrics/converters.py * readme * Update metric.py * Update pytorch_lightning/metrics/converters.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai>
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co-authored by
Jirka Borovec
Adrian Wälchli
William Falcon
Jirka
parent
ac76dfcf62
commit
9b629637b8
@@ -54,6 +54,11 @@ jobs:
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run: |
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python -c "req = open('requirements.txt').read().replace('torch>=1.1', 'torch<1.5') ; open('requirements.txt', 'w').write(req)"
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# versions <= 1.3 may have issues on mac with some BLAS ops due to missing mkl (https://github.com/pytorch/pytorch/issues/18996)
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- name: Setup MacOS Minimal
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if: runner.os == 'macOS' && matrix.requires ='minimal'
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run : |
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python -c "req = open('requirements.txt').read().replace('torch>=1.1', 'torch>=1.4') ; open('requirements.txt', 'w').write(req)"
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- name: Set min. dependencies
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if: matrix.requires == 'minimal'
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run: |
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@@ -137,4 +142,4 @@ jobs:
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- name: Statistics
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if: success()
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run: |
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coverage report
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coverage report
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