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https://github.com/pytorch/pytorch.git
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a3abfa5cb5
See https://github.com/pytorch/pytorch/pull/129751#issue-2380881501. Most changes are auto-generated by linter. You can review these PRs via: ```bash git diff --ignore-all-space --ignore-blank-lines HEAD~1 ``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/129752 Approved by: https://github.com/ezyang, https://github.com/malfet
96 lines
3.0 KiB
Python
96 lines
3.0 KiB
Python
import argparse
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from common import (
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get_excluded_testcases,
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get_passed_testcases,
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get_testcases,
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key,
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open_test_results,
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)
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from download_reports import download_reports
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"""
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Usage: passrate.py commit_sha
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Parses test reports to measure the passrate. The passrate is defined as:
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A) Take the number of tests that pass under eager mode, excluding
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CUDA, OpInfo, and ModuleInfo tests
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B) Of those tests, count the number of tests that pass under Dynamo
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C) Take B/A.
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You'll need to provide the commit_sha for a commit on the main branch,
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from which we will pull CI test results.
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This script requires the `gh` cli. You'll need to install it and then
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authenticate with it via `gh auth login` before using this script.
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https://docs.github.com/en/github-cli/github-cli/quickstart
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"""
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def testcases_by_time(xmls):
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testcases = get_testcases(xmls)
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testcases.sort(reverse=True, key=lambda x: float(x.attrib["time"]))
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return testcases
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def should_exclude(key):
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test_file = key.split("::")[0]
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# C++ tests
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if test_file == "UNKNOWN":
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return True
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# Policy: "pass rate" does not include inductor, export, or dynamo tests.
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return test_file.startswith(("inductor/", "export/", "dynamo/"))
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def compute_pass_rate(eager_dir, dynamo_dir):
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print("parsing xmls")
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eager_xmls = open_test_results(eager_dir)
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dynamo_xmls = open_test_results(dynamo_dir)
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print("computing pass rate")
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eager_passed = get_passed_testcases(eager_xmls)
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dynamo_passed = get_passed_testcases(dynamo_xmls)
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dynamo_pass_keys = {key(testcase) for testcase in dynamo_passed}
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dynamo_pass_keys = {key_ for key_ in dynamo_pass_keys if not should_exclude(key_)}
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tmp_eager_pass_keys = {key(testcase) for testcase in eager_passed}
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tmp_eager_pass_keys = {
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key_ for key_ in tmp_eager_pass_keys if not should_exclude(key_)
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}
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excluded = [key(t) for t in get_excluded_testcases(dynamo_xmls)]
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eager_pass_keys = tmp_eager_pass_keys - set(excluded)
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subset = eager_pass_keys.intersection(dynamo_pass_keys)
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total_subset = len(subset)
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total_tests = len(eager_pass_keys)
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print("pass rate", total_subset / total_tests, total_subset, total_tests)
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dynamo_testcases = get_testcases(dynamo_xmls)
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tc = {key(t): t for t in dynamo_testcases}
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# Useful for debugging
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not_there_keys = set()
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for key_ in eager_pass_keys:
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if key_ not in tc:
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not_there_keys.add(key_)
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fail_keys = eager_pass_keys - subset
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return fail_keys
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(
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prog="passrate", description="Computes the Dynamo unittest pass rate"
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)
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parser.add_argument(
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"commit",
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help=(
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"The commit sha for the latest commit on a PR from which we will "
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"pull CI test results, e.g. 7e5f597aeeba30c390c05f7d316829b3798064a5"
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),
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)
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args = parser.parse_args()
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dynamo311, eager311 = download_reports(args.commit, ("dynamo311", "eager311"))
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compute_pass_rate(eager311, dynamo311)
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