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Remove training CIs from external PR CI list.
Don't exit if there's an error starting a CI. It's most likely an intermittent error (or invalid CI) so it's better to keep going so you only have to try and kick off the failed CI later.
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1 changed files with 2 additions and 4 deletions
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@ -34,9 +34,6 @@ def get_pipeline_names():
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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-linux-ci-pipeline",
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"orttraining-linux-gpu-ci-pipeline",
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# checks
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"onnxruntime-binary-size-checks-ci-pipeline",
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# big models
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@ -78,7 +75,8 @@ def run_gh_pr_command(command: list[str], check: bool = 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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# Exit if debugging. Otherwise keep going as it's most likely an intermittent failure.
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# sys.exit(-1)
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def main():
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