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06a0cfc0ea
This PR uses pytest to run test_ops, test_ops_gradients, and test_ops_jit in parallel in non linux cuda environments to decrease TTS. I am excluding linux cuda because running in parallel results in errors due to running out of memory Notes: * update hypothesis version for compatability with pytest * use rerun-failures to rerun tests (similar to flaky tests, although these test files generally don't have flaky tests) * reruns are denoted by a rerun tag in the xml. Failed reruns also have the failure tag. Successes (meaning that the test is flaky) do not have the failure tag. * see https://docs.google.com/spreadsheets/d/1aO0Rbg3y3ch7ghipt63PG2KNEUppl9a5b18Hmv2CZ4E/edit#gid=602543594 for info on speedup (or slowdown in the case of slow tests) * expecting windows tests to decrease by 60 minutes total * slow test infra is expected to stay the same - verified by running pytest and unittest on the same job and check the number of skipped/run tests * test reports to s3 changed - add entirely new table to keep track of invoking_file times Pull Request resolved: https://github.com/pytorch/pytorch/pull/79898 Approved by: https://github.com/malfet, https://github.com/janeyx99
14 lines
317 B
INI
14 lines
317 B
INI
[pytest]
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addopts =
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# show summary of all tests that did not pass
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-ra
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# Make tracebacks shorter
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--tb=native
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# capture only Python print and C++ py::print, but not C output (low-level Python errors)
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--capture=sys
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# enable all warnings
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-Wd
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testpaths =
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test
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junit_logging_reruns = all
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