Deprecate /rerun-stage; scrub CUDA target_stage infra (#25322)
This commit is contained in:
@@ -3,18 +3,9 @@ name: Check Changes
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on:
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workflow_call:
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inputs:
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pr_head_sha:
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type: string
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default: ''
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git_ref:
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type: string
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default: ''
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target_stage:
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type: string
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default: ''
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include_wheel_build:
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type: boolean
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default: false
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run_all_tests:
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type: boolean
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default: false
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@@ -30,8 +21,6 @@ on:
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value: ${{ jobs.run.outputs.main_package }}
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sgl_kernel:
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value: ${{ jobs.run.outputs.sgl_kernel }}
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sgl_kernel_raw:
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value: ${{ jobs.run.outputs.sgl_kernel_raw }}
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jit_kernel:
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value: ${{ jobs.run.outputs.jit_kernel }}
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multimodal_gen:
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@@ -52,20 +41,10 @@ jobs:
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name: check-changes
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runs-on: ubuntu-latest
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outputs:
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# Use API-based detection for target_stage mode (filter-api), otherwise use dorny/paths-filter (filter)
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main_package: ${{ steps.filter-api.outputs.main_package || steps.filter.outputs.main_package || steps.run-mode.outputs.run_all_tests }}
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# sgl_kernel is forced to false when target_stage is set AND include_wheel_build is NOT set,
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# since sgl-kernel-build-wheels normally skips in target_stage mode. When include_wheel_build
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# is true, keep the real value so the wheel build runs and the target stage downloads its
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# artifact (used by /rerun-stage on PRs that modify sgl-kernel/).
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# This prevents CUSTOM_BUILD_SGL_KERNEL=true when the wheel artifacts aren't available.
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# Note: If PR has kernel changes AND target_stage is set AND include_wheel_build is NOT set,
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# the validate-target-stage step will fail.
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sgl_kernel: ${{ (!inputs.target_stage || inputs.include_wheel_build) && (steps.filter-api.outputs.sgl_kernel || steps.filter.outputs.sgl_kernel) }}
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# Raw sgl_kernel value before target_stage override (used for validation)
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sgl_kernel_raw: ${{ steps.filter-api.outputs.sgl_kernel || steps.filter.outputs.sgl_kernel }}
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jit_kernel: ${{ steps.filter-api.outputs.jit_kernel || steps.filter.outputs.jit_kernel || steps.run-mode.outputs.run_all_tests }}
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multimodal_gen: ${{ steps.filter-api.outputs.multimodal_gen || steps.filter.outputs.multimodal_gen || steps.run-mode.outputs.run_all_tests }}
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main_package: ${{ steps.filter.outputs.main_package || steps.run-mode.outputs.run_all_tests }}
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sgl_kernel: ${{ steps.filter.outputs.sgl_kernel }}
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jit_kernel: ${{ steps.filter.outputs.jit_kernel || steps.run-mode.outputs.run_all_tests }}
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multimodal_gen: ${{ steps.filter.outputs.multimodal_gen || steps.run-mode.outputs.run_all_tests }}
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partitions: ${{ steps.partitions.outputs.partitions }}
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partition_model_sha: ${{ steps.partition-model-sha.outputs.sha }}
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b200_runner: ${{ steps.set-runner.outputs.b200_runner }}
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@@ -75,7 +54,7 @@ jobs:
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- name: Checkout code
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uses: actions/checkout@v4
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with:
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ref: ${{ inputs.pr_head_sha || inputs.git_ref || github.sha }}
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ref: ${{ inputs.git_ref || github.sha }}
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- uses: ./.github/actions/check-maintenance
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@@ -95,9 +74,7 @@ jobs:
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- name: Detect file changes
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id: filter
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uses: dorny/paths-filter@v3
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# Only use paths-filter for pull_request events (where it works correctly)
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# For workflow_dispatch with target_stage, we use GitHub API in the next step
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if: steps.run-mode.outputs.run_all_tests != 'true' && !inputs.target_stage
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if: steps.run-mode.outputs.run_all_tests != 'true'
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with:
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filters: |
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main_package:
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@@ -128,93 +105,13 @@ jobs:
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# see API-side detector below for rationale.
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- "sgl-kernel/**/!(*.md|THIRDPARTYNOTICES.txt|LICENSE)"
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# For /rerun-stage (workflow_dispatch with target_stage), dorny/paths-filter doesn't work
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# correctly because it falls back to "last commit" detection which breaks for merge commits.
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# Instead, we use the GitHub API to compare the PR commit against main.
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- name: Detect file changes via API (for target_stage)
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id: filter-api
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if: inputs.target_stage && inputs.pr_head_sha
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env:
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GH_TOKEN: ${{ github.token }}
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run: |
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echo "Detecting file changes via GitHub API for target_stage mode..."
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echo "PR head SHA: ${{ inputs.pr_head_sha }}"
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# Get the list of changed files by comparing PR commit against main
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# This correctly handles merge commits by looking at the actual PR diff
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CHANGED_FILES=$(gh api "repos/${{ github.repository }}/compare/main...${{ inputs.pr_head_sha }}" \
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--jq '[.files[].filename] | .[]' 2>/dev/null || echo "")
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if [ -z "$CHANGED_FILES" ]; then
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echo "Warning: Could not fetch changed files from API, assuming no changes"
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echo "sgl_kernel=false" >> $GITHUB_OUTPUT
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echo "main_package=false" >> $GITHUB_OUTPUT
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echo "jit_kernel=false" >> $GITHUB_OUTPUT
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echo "multimodal_gen=false" >> $GITHUB_OUTPUT
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exit 0
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fi
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echo "Changed files:"
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echo "$CHANGED_FILES" | head -20
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echo "..."
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# Check for sgl-kernel changes
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# Note: edits to .github/workflows/pr-test-sgl-kernel.yml are intentionally
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# NOT considered sgl-kernel changes. That filter line used to be included
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# so workflow refactors got retested, but in practice it only catches the
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# workflow's *consumers* (test job definitions), not the wheel build steps
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# themselves — and gating sgl_kernel=true on it forces a 20-30 min wheel
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# rebuild + the stage-a-test-1-gpu-small gate for pure CI-yaml edits that
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# can't actually affect kernel behavior. PRs that touch wheel-build logic
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# in scripts/ci/cuda/ or sgl-kernel/ still trigger correctly.
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if echo "$CHANGED_FILES" | grep -qE "^sgl-kernel/"; then
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echo "sgl_kernel=true" >> $GITHUB_OUTPUT
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echo "Detected sgl-kernel changes"
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else
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echo "sgl_kernel=false" >> $GITHUB_OUTPUT
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fi
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# Check for main_package changes (excluding multimodal_gen, jit_kernel/diffusion, jit_kernel/tests/diffusion, jit_kernel/benchmark/diffusion, cli)
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# Note: Need to filter out multimodal_gen and diffusion-related paths before checking, not pipe grep -q output
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MAIN_PKG_FILES=$(echo "$CHANGED_FILES" | grep -E "^(python/sglang/|python/pyproject\.toml|scripts/ci/cuda/|scripts/ci/utils/|test/|\.github/workflows/pr-test\.yml|\.github/workflows/pr-gate\.yml|\.github/actions/)" | grep -v -E "^(python/sglang/multimodal_gen/|python/sglang/jit_kernel/diffusion/|python/sglang/jit_kernel/tests/diffusion/|python/sglang/jit_kernel/benchmark/diffusion/|python/sglang/cli/)" || true)
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if [ -n "$MAIN_PKG_FILES" ]; then
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echo "main_package=true" >> $GITHUB_OUTPUT
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echo "Detected main_package changes"
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else
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echo "main_package=false" >> $GITHUB_OUTPUT
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fi
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# Check for jit_kernel changes
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if echo "$CHANGED_FILES" | grep -qE "^(python/sglang/jit_kernel/|python/pyproject\.toml|\.github/workflows/pr-test\.yml|\.github/workflows/pr-test-jit-kernel\.yml)"; then
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echo "jit_kernel=true" >> $GITHUB_OUTPUT
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echo "Detected jit_kernel changes"
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else
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echo "jit_kernel=false" >> $GITHUB_OUTPUT
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fi
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# Check for multimodal_gen changes, including diffusion-specific jit_kernel coverage
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if echo "$CHANGED_FILES" | grep -qE "^(python/sglang/multimodal_gen/|python/sglang/cli/|python/sglang/jit_kernel/diffusion/|python/sglang/jit_kernel/tests/diffusion/|python/sglang/jit_kernel/benchmark/diffusion/|python/pyproject\.toml|\.github/workflows/pr-test\.yml|\.github/workflows/pr-test-multimodal-gen\.yml)"; then
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echo "multimodal_gen=true" >> $GITHUB_OUTPUT
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echo "Detected multimodal_gen changes"
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else
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echo "multimodal_gen=false" >> $GITHUB_OUTPUT
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fi
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- name: Determine full-parallel mode
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id: parallel-mode
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env:
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GH_TOKEN: ${{ github.token }}
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run: |
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# `full=true` lifts the matrix-fanout throttle so each suite's
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# max_parallel = size. Conditions (matching the prior set-parallel
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# step exactly):
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# max_parallel = size. Conditions:
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# 1. Scheduled cron run.
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# 2. pull_request event with the `high priority` label.
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# 3. workflow_dispatch with target_stage set (i.e. /rerun-stage)
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# whose underlying PR carries `high priority`. The labels
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# aren't on the dispatch payload, so look them up via API:
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# try SHA -> /pulls (works for fork PRs), fall back to
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# branch name -> gh pr list (works for non-fork PRs).
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FULL=false
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if [[ "${{ github.event_name }}" == "schedule" ]]; then
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FULL=true
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@@ -222,22 +119,6 @@ jobs:
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elif [[ "${{ github.event_name }}" == "pull_request" && "${{ contains(github.event.pull_request.labels.*.name, 'high priority') }}" == "true" ]]; then
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FULL=true
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echo "high priority PR -> full parallelism"
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elif [[ -n "${{ inputs.target_stage }}" ]]; then
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LABELS=""
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PR_HEAD_SHA="${{ inputs.pr_head_sha }}"
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if [[ -n "$PR_HEAD_SHA" ]]; then
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LABELS=$(gh api "repos/${{ github.repository }}/commits/${PR_HEAD_SHA}/pulls" \
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--jq '.[0].labels[].name' 2>/dev/null || true)
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fi
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if [[ -z "$LABELS" ]]; then
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LABELS=$(gh pr list --head "${{ github.ref_name }}" --repo "${{ github.repository }}" \
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--json labels --jq '.[0].labels[].name' 2>/dev/null || true)
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fi
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echo "PR labels (via API): ${LABELS:-"(none)"}"
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if echo "$LABELS" | grep -Fxq "high priority"; then
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FULL=true
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echo "high priority PR (via API) -> full parallelism"
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fi
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fi
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echo "full=$FULL" >> "$GITHUB_OUTPUT"
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@@ -285,12 +166,9 @@ jobs:
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- name: Set B200 runner tag
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id: set-runner
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run: |
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# Use kernel-build runner only when sgl_kernel changes are detected AND we're not in target_stage mode
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# (target_stage skips wheel builds, so we can't use custom kernels)
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# Use API-based detection (filter-api) for target_stage mode, otherwise use dorny/paths-filter (filter)
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sgl_kernel="${{ steps.filter-api.outputs.sgl_kernel || steps.filter.outputs.sgl_kernel }}"
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target_stage="${{ inputs.target_stage }}"
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if [[ "$sgl_kernel" == "true" && -z "$target_stage" ]]; then
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# Use kernel-build runner only when sgl_kernel changes are detected.
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sgl_kernel="${{ steps.filter.outputs.sgl_kernel }}"
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if [[ "$sgl_kernel" == "true" ]]; then
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echo "b200_runner=4-gpu-b200-kernel" >> $GITHUB_OUTPUT
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else
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echo "b200_runner=4-gpu-b200" >> $GITHUB_OUTPUT
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@@ -313,32 +191,6 @@ jobs:
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echo "Filtered run, continue-on-error disabled"
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fi
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- name: Validate target_stage with kernel changes
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# Fail only when PR has sgl-kernel changes AND the caller didn't opt into include_wheel_build.
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# include_wheel_build=true means sgl-kernel-build-wheels will run alongside the target stage
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# (see the sgl_kernel output and sgl-kernel-build-wheels if-conditions above/below), so it's
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# safe to proceed.
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if: inputs.target_stage && !inputs.include_wheel_build && (steps.filter-api.outputs.sgl_kernel == 'true' || steps.filter.outputs.sgl_kernel == 'true')
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run: |
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echo "::error::Cannot use /rerun-stage when PR has sgl-kernel changes without include_wheel_build."
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echo "::error::The sgl-kernel-build-wheels job is skipped in target_stage mode by default, but this PR modifies sgl-kernel/ files."
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echo "::error::The slash-command handler should have set include_wheel_build=true automatically; falling back to /tag-and-rerun-ci."
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echo ""
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echo "ERROR: Cannot use /rerun-stage when PR has sgl-kernel changes without include_wheel_build."
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echo ""
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echo "This PR modifies files in sgl-kernel/, which requires building custom kernel wheels."
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echo "Running the target stage without rebuilding the kernel would use the wrong (PyPI)"
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echo "version of sgl-kernel instead of your changes."
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echo ""
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echo "The /rerun-stage handler sets include_wheel_build=true automatically when it detects"
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echo "sgl-kernel/ changes on the PR. If you see this error, the handler may be outdated."
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echo ""
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echo "Alternatives:"
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echo " /tag-and-rerun-ci - Re-run the full workflow including kernel builds"
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echo " /rerun-ci - Re-run the full workflow"
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echo ""
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exit 1
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- name: Show filter results in summary (table)
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run: |
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{
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@@ -346,13 +198,10 @@ jobs:
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echo ""
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echo "| Component | Changed |"
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echo "|-------------------|---------|"
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echo "| main_package | ${{ steps.filter-api.outputs.main_package || steps.filter.outputs.main_package || steps.run-mode.outputs.run_all_tests }} |"
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echo "| sgl_kernel (raw) | ${{ steps.filter-api.outputs.sgl_kernel || steps.filter.outputs.sgl_kernel }} |"
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echo "| sgl_kernel (used) | ${{ (!inputs.target_stage || inputs.include_wheel_build) && (steps.filter-api.outputs.sgl_kernel || steps.filter.outputs.sgl_kernel) }} |"
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echo "| jit_kernel | ${{ steps.filter-api.outputs.jit_kernel || steps.filter.outputs.jit_kernel || steps.run-mode.outputs.run_all_tests }} |"
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echo "| multimodal_gen | ${{ steps.filter-api.outputs.multimodal_gen || steps.filter.outputs.multimodal_gen || steps.run-mode.outputs.run_all_tests }} |"
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echo "| target_stage | ${{ inputs.target_stage || '(none)' }} |"
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echo "| detection_method | ${{ inputs.target_stage && 'GitHub API' || 'dorny/paths-filter' }} |"
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echo "| main_package | ${{ steps.filter.outputs.main_package || steps.run-mode.outputs.run_all_tests }} |"
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echo "| sgl_kernel | ${{ steps.filter.outputs.sgl_kernel }} |"
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echo "| jit_kernel | ${{ steps.filter.outputs.jit_kernel || steps.run-mode.outputs.run_all_tests }} |"
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echo "| multimodal_gen | ${{ steps.filter.outputs.multimodal_gen || steps.run-mode.outputs.run_all_tests }} |"
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echo "| b200_runner | ${{ steps.set-runner.outputs.b200_runner }} |"
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echo "| enable_retry | ${{ steps.set-retry.outputs.enable_retry }} |"
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echo "| continue_on_error | ${{ steps.set-continue-on-error.outputs.continue_on_error }} |"
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