lightning/tests/metrics/functional/test_reduction.py

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Native torch metrics (#1488) * Create metric.py * Create utils.py * Create __init__.py * Create __init__.py * Create __init__.py * add tests for metric utils * add tests for metric utils * add docstrings for metrics utils * add docstrings for metrics utils * add function to recursively apply other function to collection * add function to recursively apply other function to collection * add tests for this function * add tests for this function * add tests for this function * update test * 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 * fix tests * add metric tests * fix to tensor conversion * fix to tensor conversion * fix apply to collection * fix apply to collection * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * remove tests from init * remove tests from init * add missing type annotations * rename utils to convertors * rename utils to convertors * rename utils to convertors * rename utils to convertors * 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/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/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> * 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> * Apply suggestions from code review 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 * rename file and fix imports * added parametrized test * added parametrized test * replace lambda with inlined function * rename apply_to_collection to apply_func * rename apply_to_collection to apply_func * 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 * Add requested changes and add ellipsis for doctest * Add requested changes and add ellipsis for doctest * forgot to push these files... * forgot to push these files... * forgot to push these files... * add explicit check for dtype to convert to * add explicit check for dtype to convert to * fix ddp tests * fix ddp tests * fix ddp tests * remove explicit ddp destruction * remove explicit ddp destruction * 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> * add function to reduce tensors (similar to reduction in torch.nn) * add functionals of reduction metrics * add functionals of reduction metrics * add more metrics * pep8 fixes * rename * rename * add reduction tests * add first classification tests * bugfixes * bugfixes * add more unit tests * fix roc score metric * fix tests * solve tests * fix docs * Update CHANGELOG.md * remove binaries * solve changes from rebase * add eos * test auc independently * fix formatting * docs * docs * chlog * move * function descriptions * Add documentation to native metrics (#2144) * add docs * add docs * Apply suggestions from code review * formatting * add docs Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai> * Rename tests/metrics/test_classification.py to tests/metrics/functional/test_classification.py * Rename tests/metrics/test_reduction.py to tests/metrics/functional/test_reduction.py * Add module interface for classification metrics * add basic tests for classification metrics' module interface * pep8 * add additional converters * add additional base class * change baseclass for some metrics * update classification tests * update converter tests * update metric tests * Apply suggestions from code review * tests-params * tests-params * imports * pep8 * tests-params * formatting * fix test_metrics * typo * formatting * fix dice tests * fix decorator order * fix tests * seed * dice test * formatting * try freeze test * formatting * fix tests * try spawn * formatting * fix Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: J. Borovec <jirka.borovec@seznam.cz> Co-authored-by: Xavier Sumba <c.uent@hotmail.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai> Co-authored-by: Nicki Skafte <nugginea@gmail.com>
2020-06-13 12:47:25 +00:00
import pytest
import torch
from pytorch_lightning.metrics.functional.reduction import reduce
def test_reduce():
start_tensor = torch.rand(50, 40, 30)
assert torch.allclose(reduce(start_tensor, 'elementwise_mean'), torch.mean(start_tensor))
assert torch.allclose(reduce(start_tensor, 'sum'), torch.sum(start_tensor))
assert torch.allclose(reduce(start_tensor, 'none'), start_tensor)
with pytest.raises(ValueError):
reduce(start_tensor, 'error_reduction')