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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 |
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| .. | ||
| gen_operators_yaml_test.py | ||
| gen_oplist_test.py | ||
| test_cmake.py | ||
| test_codegen.py | ||
| test_codegen_model.py | ||
| test_gen_backend_stubs.py | ||
| test_import_test_stats.py | ||
| test_selective_build.py | ||
| test_stats.py | ||
| test_test_history.py | ||
| test_test_selections.py | ||
| test_upload_test_stats.py | ||
| test_utils.py | ||