xref: /aosp_15_r20/external/pytorch/scripts/compile_tests/passrate.py (revision da0073e96a02ea20f0ac840b70461e3646d07c45)

import argparse

from common import (
    get_excluded_testcases,
    get_passed_testcases,
    get_testcases,
    key,
    open_test_results,
)
from download_reports import download_reports


"""
Usage: passrate.py commit_sha

Parses test reports to measure the passrate. The passrate is defined as:

A) Take the number of tests that pass under eager mode, excluding
CUDA, OpInfo, and ModuleInfo tests
B) Of those tests, count the number of tests that pass under Dynamo
C) Take B/A.

You'll need to provide the commit_sha for a commit on the main branch,
from which we will pull CI test results.

This script requires the `gh` cli. You'll need to install it and then
authenticate with it via `gh auth login` before using this script.
https://docs.github.com/en/github-cli/github-cli/quickstart
"""


def testcases_by_time(xmls):
    testcases = get_testcases(xmls)
    testcases.sort(reverse=True, key=lambda x: float(x.attrib["time"]))
    return testcases


def should_exclude(key):
    test_file = key.split("::")[0]
    # C++ tests
    if test_file == "UNKNOWN":
        return True
    # Policy: "pass rate" does not include inductor, export, or dynamo tests.
    return test_file.startswith(("inductor/", "export/", "dynamo/"))


def compute_pass_rate(eager_dir, dynamo_dir):
    print("parsing xmls")
    eager_xmls = open_test_results(eager_dir)
    dynamo_xmls = open_test_results(dynamo_dir)

    print("computing pass rate")
    eager_passed = get_passed_testcases(eager_xmls)
    dynamo_passed = get_passed_testcases(dynamo_xmls)
    dynamo_pass_keys = {key(testcase) for testcase in dynamo_passed}
    dynamo_pass_keys = {key_ for key_ in dynamo_pass_keys if not should_exclude(key_)}
    tmp_eager_pass_keys = {key(testcase) for testcase in eager_passed}
    tmp_eager_pass_keys = {
        key_ for key_ in tmp_eager_pass_keys if not should_exclude(key_)
    }
    excluded = [key(t) for t in get_excluded_testcases(dynamo_xmls)]
    eager_pass_keys = tmp_eager_pass_keys - set(excluded)

    subset = eager_pass_keys.intersection(dynamo_pass_keys)
    total_subset = len(subset)
    total_tests = len(eager_pass_keys)
    print("pass rate", total_subset / total_tests, total_subset, total_tests)

    dynamo_testcases = get_testcases(dynamo_xmls)
    tc = {key(t): t for t in dynamo_testcases}

    # Useful for debugging
    not_there_keys = set()
    for key_ in eager_pass_keys:
        if key_ not in tc:
            not_there_keys.add(key_)

    fail_keys = eager_pass_keys - subset
    return fail_keys


if __name__ == "__main__":
    parser = argparse.ArgumentParser(
        prog="passrate", description="Computes the Dynamo unittest pass rate"
    )
    parser.add_argument(
        "commit",
        help=(
            "The commit sha for the latest commit on a PR from which we will "
            "pull CI test results, e.g. 7e5f597aeeba30c390c05f7d316829b3798064a5"
        ),
    )
    args = parser.parse_args()
    dynamo311, eager311 = download_reports(args.commit, ("dynamo311", "eager311"))
    compute_pass_rate(eager311, dynamo311)