mirror of
https://github.com/saymrwulf/onnxruntime.git
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5e41d1600a
### Description <!-- Describe your changes. --> Add 2 new QNN CIs to tools/python/run_CIs_for_external_pr.py ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> Update tool so it runs all current CIs
101 lines
3.1 KiB
Python
101 lines
3.1 KiB
Python
#!/usr/bin/env python3
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# Copyright (c) Microsoft Corporation. All rights reserved.
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# Licensed under the MIT License.
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import argparse
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import os
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import subprocess
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import sys
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import typing
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def parse_args():
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parser = argparse.ArgumentParser(
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os.path.basename(__file__),
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formatter_class=argparse.RawDescriptionHelpFormatter,
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description="""Trigger CIs running for the specified pull request.
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Requires the GitHub CLI to be installed. See https://github.com/cli/cli#installation for details.
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After installation you will also need to setup an auth token to access the ONNX Runtime repository by running
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`gh auth login`. Easiest is to run that from a directory in your local copy of the repo.
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""",
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)
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parser.add_argument("pr", help="Specify the pull request ID.")
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args = parser.parse_args()
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return args
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def run_gh_pr_command(command: typing.List[str]):
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try:
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return subprocess.run(["gh", "pr", *command], capture_output=True, text=True, check=True)
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except subprocess.CalledProcessError as cpe:
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print(cpe)
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print(cpe.stderr)
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sys.exit(-1)
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def main():
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args = parse_args()
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pr_id = args.pr
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# validate PR
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gh_out = run_gh_pr_command(["view", pr_id])
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info = gh_out.stdout.split("\n")
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for line in info:
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pieces = line.split("\t")
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if len(pieces) != 2:
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continue
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if pieces[0] == "state:":
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if pieces[1] != "OPEN":
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print(f"PR {pr_id} is not OPEN. Currently in state {pieces[1]}.")
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sys.exit(-1)
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print("Adding azp run commands")
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# Current pipelines. These change semi-frequently and may need updating.
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pipelines = [
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# windows
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"Windows ARM64 QNN CI Pipeline",
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"Windows CPU CI Pipeline",
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"Windows GPU CI Pipeline",
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"Windows GPU TensorRT CI Pipeline",
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"ONNX Runtime Web CI Pipeline",
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# linux
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"Linux CPU CI Pipeline",
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"Linux CPU Minimal Build E2E CI Pipeline",
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"Linux GPU CI Pipeline",
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"Linux GPU TensorRT CI Pipeline",
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"Linux OpenVINO CI Pipeline",
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"Linux QNN CI Pipeline",
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# mac
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"MacOS CI Pipeline",
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# training
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"orttraining-amd-gpu-ci-pipeline",
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"orttraining-linux-ci-pipeline",
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"orttraining-linux-gpu-ci-pipeline",
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"orttraining-ortmodule-distributed",
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# checks
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"onnxruntime-python-checks-ci-pipeline",
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"onnxruntime-binary-size-checks-ci-pipeline",
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]
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# azp run is limited to 10 pipelines at a time
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max_pipelines_per_comment = 10
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start = 0
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num_pipelines = len(pipelines)
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while start < num_pipelines:
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end = start + max_pipelines_per_comment
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if end > num_pipelines:
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end = num_pipelines
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run_gh_pr_command(["comment", pr_id, "--body", f"/azp run {str.join(',', pipelines[start:end])}"])
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start += max_pipelines_per_comment
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print(f"Done. Check status at https://github.com/microsoft/onnxruntime/pull/{pr_id}/checks")
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if __name__ == "__main__":
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main()
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