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77f8ebdca2 |
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@@ -1,8 +1,6 @@
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name: VLLM-Omni PR Reviewer
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on:
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pull_request:
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types: [opened, ready_for_review]
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issue_comment:
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types: [created]
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@@ -16,17 +14,14 @@ jobs:
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name: Review Pull Request
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runs-on: ubuntu-latest
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timeout-minutes: 10
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# Trigger on:
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# 1. PR opened or marked ready for review (auto-run, only from same repo)
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# 2. Manual @vllm-omni-reviewer comment by members/collaborators
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# Only run when the comment is from a collaborator/owner/member
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if: |
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(github.event_name == 'pull_request' && github.event.pull_request.draft == false && github.event.pull_request.head.repo.full_name == github.repository) ||
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(github.event_name == 'issue_comment' &&
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github.event.issue.pull_request != null &&
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contains(github.event.comment.body, '@vllm-omni-reviewer') &&
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(github.event.comment.author_association == 'MEMBER' ||
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github.event.comment.author_association == 'COLLABORATOR' ||
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github.event.comment.author_association == 'OWNER'))
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github.event_name == 'issue_comment' &&
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github.event.issue.pull_request != null &&
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contains(github.event.comment.body, '@vllm-omni-reviewer') &&
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(github.event.comment.author_association == 'MEMBER' ||
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github.event.comment.author_association == 'COLLABORATOR' ||
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github.event.comment.author_association == 'OWNER')
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steps:
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- name: Checkout repository
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uses: actions/checkout@v4.2.2
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@@ -223,8 +223,8 @@ def calculate_metrics(
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good_completed += 1
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if completed == 0:
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warnings.formatwarning = lambda msg, category, filename, lineno, line=None: (
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f"{filename}:{lineno}: {category.__name__}: {msg}\n"
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warnings.formatwarning = (
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lambda msg, category, filename, lineno, line=None: f"{filename}:{lineno}: {category.__name__}: {msg}\n"
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)
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warnings.warn(
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"All requests failed. This is likely due to a misconfiguration on the benchmark arguments.",
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@@ -20,7 +20,7 @@ environment_variables: dict[str, Callable[[], Any]] = {
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# used in distributed environment to determine the master address
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"MASTER_ADDR": lambda: os.getenv("MASTER_ADDR", ""),
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# used in distributed environment to manually set the communication port
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"MASTER_PORT": lambda: int(os.getenv("MASTER_PORT", "0")) if "MASTER_PORT" in os.environ else None,
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"MASTER_PORT": lambda: (int(os.getenv("MASTER_PORT", "0")) if "MASTER_PORT" in os.environ else None),
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# path to cudatoolkit home directory, under which should be bin, include,
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# and lib directories.
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"CUDA_HOME": lambda: os.environ.get("CUDA_HOME", None),
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