name: PR Test (NPU) on: push: branches: [ main ] pull_request: branches: [ main ] workflow_dispatch: workflow_call: inputs: ref: description: 'Git ref (branch, tag, or SHA) to test. If not provided, uses the default branch.' required: false type: string default: '' run_all_tests: description: "Run all tests (for releasing or testing purpose)" required: false type: boolean default: false concurrency: group: pr-test-npu-${{ inputs.ref || github.ref }} cancel-in-progress: ${{ github.event_name != 'workflow_call' }} jobs: # ==================== Check Changes ==================== # check-changes: runs-on: ubuntu-latest outputs: changes_exist: ${{ steps.filter.outputs.main_package == 'true' || steps.filter.outputs.multimodal_gen == 'true' || steps.run-mode.outputs.run_all_tests == 'true'}} main_package: ${{ steps.filter.outputs.main_package == 'true' || steps.run-mode.outputs.run_all_tests == 'true' }} multimodal_gen: ${{ steps.filter.outputs.multimodal_gen == 'true' || steps.run-mode.outputs.run_all_tests == 'true' }} steps: - name: Checkout code uses: actions/checkout@v4 with: ref: ${{ inputs.ref || github.ref }} - name: Determine run mode id: run-mode run: | # Run all tests for workflow_call (when ref input is provided) # Note: github.event_name is inherited from caller, so we detect workflow_call by checking inputs.ref if [[ "${{ inputs.run_all_tests }}" == "true" ]]; then echo "run_all_tests=true" >> $GITHUB_OUTPUT echo "Run mode: ALL TESTS (run_all_tests=${{ inputs.run_all_tests }})" else echo "run_all_tests=false" >> $GITHUB_OUTPUT echo "Run mode: FILTERED (triggered by ${{ github.event_name }})" fi - name: Detect file changes id: filter uses: dorny/paths-filter@v3 if: steps.run-mode.outputs.run_all_tests != 'true' with: filters: | main_package: - "python/sglang/!(multimodal_gen)/**/!(*.md)" - "python/pyproject_npu.toml" - "scripts/ci/npu/npu_ci_install_dependency.sh" - "test/srt/ascend/**" - ".github/workflows/pr-test-npu.yml" multimodal_gen: - "python/sglang/multimodal_gen/**/*.!(md|ipynb)" - "python/sglang/srt/**" - "python/pyproject_npu.toml" - "scripts/ci/npu/npu_ci_install_dependency.sh" - ".github/workflows/pr-test-npu.yml" # ==================== PR Gate ==================== # pr-gate: needs: check-changes if: needs.check-changes.outputs.changes_exist == 'true' uses: ./.github/workflows/pr-gate.yml secrets: inherit stage-b-test-1-npu-a2: needs: [check-changes, pr-gate] if: needs.check-changes.outputs.main_package == 'true' runs-on: linux-aarch64-a2-1 strategy: fail-fast: false matrix: part: [ 0, 1 ] container: image: swr.cn-southwest-2.myhuaweicloud.com/base_image/ascend-ci/cann:8.5.0-910b-ubuntu22.04-py3.11 steps: - name: Checkout code uses: actions/checkout@v4 with: ref: ${{ inputs.ref || github.ref }} - name: Mark repository safe run: | git config --system --add safe.directory ${GITHUB_WORKSPACE} - name: Install dependencies env: TORCH_CACHE_URL: "http://cache-service.nginx-pypi-cache.svc.cluster.local/whl/cpu" PYPI_CACHE_URL: "http://cache-service.nginx-pypi-cache.svc.cluster.local/pypi/simple" GITHUB_PROXY_URL: "https://gh-proxy.test.osinfra.cn/" run: | # speed up by using infra cache services CACHING_URL="cache-service.nginx-pypi-cache.svc.cluster.local" sed -Ei "s@(ports|archive).ubuntu.com@${CACHING_URL}:8081@g" /etc/apt/sources.list pip config set global.index-url http://${CACHING_URL}/pypi/simple pip config set global.trusted-host "${CACHING_URL}" bash scripts/ci/npu/npu_ci_install_dependency.sh 910b # copy required file from our daily cache cp ~/.cache/modelscope/hub/datasets/otavia/ShareGPT_Vicuna_unfiltered/ShareGPT_V3_unfiltered_cleaned_split.json /tmp # copy gsm8k dataset cp ~/.cache/modelscope/hub/datasets/tmp/test.jsonl /tmp - name: Run test timeout-minutes: 60 env: SGLANG_USE_MODELSCOPE: true SGLANG_IS_IN_CI: true HF_ENDPOINT: https://hf-mirror.com TORCH_EXTENSIONS_DIR: /tmp/torch_extensions PYTORCH_NPU_ALLOC_CONF: "expandable_segments:True" STREAMS_PER_DEVICE: 32 run: | cd test python3 run_suite.py --hw npu --suite stage-b-test-1-npu-a2 --auto-partition-id ${{ matrix.part }} --auto-partition-size 2 stage-b-test-2-npu-a2: needs: [check-changes, pr-gate] if: needs.check-changes.outputs.main_package == 'true' runs-on: linux-aarch64-a2-2 strategy: fail-fast: true matrix: part: [0, 1] container: image: swr.cn-southwest-2.myhuaweicloud.com/base_image/ascend-ci/cann:8.5.0-910b-ubuntu22.04-py3.11 steps: - name: Checkout code uses: actions/checkout@v4 with: ref: ${{ inputs.ref || github.ref }} - name: Mark repository safe run: | git config --system --add safe.directory ${GITHUB_WORKSPACE} - name: Install dependencies env: TORCH_CACHE_URL: "http://cache-service.nginx-pypi-cache.svc.cluster.local/whl/cpu" PYPI_CACHE_URL: "http://cache-service.nginx-pypi-cache.svc.cluster.local/pypi/simple" GITHUB_PROXY_URL: "https://gh-proxy.test.osinfra.cn/" run: | # speed up by using infra cache services CACHING_URL="cache-service.nginx-pypi-cache.svc.cluster.local" sed -Ei "s@(ports|archive).ubuntu.com@${CACHING_URL}:8081@g" /etc/apt/sources.list pip config set global.index-url http://${CACHING_URL}/pypi/simple pip config set global.trusted-host "${CACHING_URL}" bash scripts/ci/npu/npu_ci_install_dependency.sh 910b # copy required file from our daily cache cp ~/.cache/modelscope/hub/datasets/otavia/ShareGPT_Vicuna_unfiltered/ShareGPT_V3_unfiltered_cleaned_split.json /tmp # copy gsm8k dataset cp ~/.cache/modelscope/hub/datasets/tmp/test.jsonl /tmp - name: Run test timeout-minutes: 60 env: SGLANG_USE_MODELSCOPE: true SGLANG_IS_IN_CI: true HF_ENDPOINT: https://hf-mirror.com TORCH_EXTENSIONS_DIR: /tmp/torch_extensions PYTORCH_NPU_ALLOC_CONF: "expandable_segments:True" STREAMS_PER_DEVICE: 32 run: | cd test python3 run_suite.py --hw npu --suite stage-b-test-2-npu-a2 --auto-partition-id ${{ matrix.part }} --auto-partition-size 2 stage-b-test-4-npu-a3: needs: [check-changes, pr-gate] if: needs.check-changes.outputs.main_package == 'true' runs-on: linux-aarch64-a3-4 container: image: swr.cn-southwest-2.myhuaweicloud.com/base_image/ascend-ci/cann:8.5.0-a3-ubuntu22.04-py3.11 steps: - name: Checkout code uses: actions/checkout@v4 with: ref: ${{ inputs.ref || github.ref }} - name: Mark repository safe run: | git config --system --add safe.directory ${GITHUB_WORKSPACE} - name: Install dependencies env: TORCH_CACHE_URL: "http://cache-service.nginx-pypi-cache.svc.cluster.local/whl/cpu" PYPI_CACHE_URL: "http://cache-service.nginx-pypi-cache.svc.cluster.local/pypi/simple" GITHUB_PROXY_URL: "https://gh-proxy.test.osinfra.cn/" run: | # speed up by using infra cache services CACHING_URL="cache-service.nginx-pypi-cache.svc.cluster.local" sed -Ei "s@(ports|archive).ubuntu.com@${CACHING_URL}:8081@g" /etc/apt/sources.list pip config set global.index-url http://${CACHING_URL}/pypi/simple pip config set global.trusted-host "${CACHING_URL}" bash scripts/ci/npu/npu_ci_install_dependency.sh a3 # copy required file from our daily cache cp ~/.cache/modelscope/hub/datasets/otavia/ShareGPT_Vicuna_unfiltered/ShareGPT_V3_unfiltered_cleaned_split.json /tmp # copy gsm8k dataset cp ~/.cache/modelscope/hub/datasets/tmp/test.jsonl /tmp - name: Run test timeout-minutes: 60 env: SGLANG_USE_MODELSCOPE: true SGLANG_IS_IN_CI: true HF_ENDPOINT: https://hf-mirror.com TORCH_EXTENSIONS_DIR: /tmp/torch_extensions PYTORCH_NPU_ALLOC_CONF: "expandable_segments:True" STREAMS_PER_DEVICE: 32 run: | cd test python3 run_suite.py --hw npu --suite stage-b-test-4-npu-a3 --timeout-per-file 3600 stage-b-test-16-npu-a3: needs: [check-changes, pr-gate] if: needs.check-changes.outputs.main_package == 'true' runs-on: linux-aarch64-a3-16 container: image: swr.cn-southwest-2.myhuaweicloud.com/base_image/ascend-ci/cann:8.5.0-a3-ubuntu22.04-py3.11 steps: - name: Checkout code uses: actions/checkout@v4 with: ref: ${{ inputs.ref || github.ref }} - name: Mark repository safe run: | git config --system --add safe.directory ${GITHUB_WORKSPACE} - name: Install dependencies env: TORCH_CACHE_URL: "http://cache-service.nginx-pypi-cache.svc.cluster.local/whl/cpu" PYPI_CACHE_URL: "http://cache-service.nginx-pypi-cache.svc.cluster.local/pypi/simple" GITHUB_PROXY_URL: "https://gh-proxy.test.osinfra.cn/" run: | # speed up by using infra cache services CACHING_URL="cache-service.nginx-pypi-cache.svc.cluster.local" sed -Ei "s@(ports|archive).ubuntu.com@${CACHING_URL}:8081@g" /etc/apt/sources.list pip config set global.index-url http://${CACHING_URL}/pypi/simple pip config set global.trusted-host "${CACHING_URL}" bash scripts/ci/npu/npu_ci_install_dependency.sh a3 # copy required file from our daily cache cp ~/.cache/modelscope/hub/datasets/otavia/ShareGPT_Vicuna_unfiltered/ShareGPT_V3_unfiltered_cleaned_split.json /tmp # copy gsm8k dataset cp ~/.cache/modelscope/hub/datasets/tmp/test.jsonl /tmp - name: Run test timeout-minutes: 60 env: SGLANG_USE_MODELSCOPE: true SGLANG_IS_IN_CI: true HF_ENDPOINT: https://hf-mirror.com TORCH_EXTENSIONS_DIR: /tmp/torch_extensions PYTORCH_NPU_ALLOC_CONF: "expandable_segments:True" STREAMS_PER_DEVICE: 32 run: | cd test python3 run_suite.py --hw npu --suite stage-b-test-16-npu-a3 --timeout-per-file 3600 multimodal-gen-test-1-npu-a3: needs: [check-changes, pr-gate] if: needs.check-changes.outputs.multimodal_gen == 'true' runs-on: linux-aarch64-a3-2 container: image: swr.cn-southwest-2.myhuaweicloud.com/base_image/ascend-ci/cann:8.3.rc2-a3-ubuntu22.04-py3.11 steps: - name: Checkout code uses: actions/checkout@v4 - name: Mark repository safe run: | git config --system --add safe.directory ${GITHUB_WORKSPACE} - name: Install dependencies env: TORCH_CACHE_URL: "http://cache-service.nginx-pypi-cache.svc.cluster.local/whl/cpu" PYPI_CACHE_URL: "http://cache-service.nginx-pypi-cache.svc.cluster.local/pypi/simple" GITHUB_PROXY_URL: "https://gh-proxy.test.osinfra.cn/" run: | # speed up by using infra cache services CACHING_URL="cache-service.nginx-pypi-cache.svc.cluster.local" sed -Ei "s@(ports|archive).ubuntu.com@${CACHING_URL}:8081@g" /etc/apt/sources.list pip config set global.index-url http://${CACHING_URL}/pypi/simple pip config set global.trusted-host "${CACHING_URL}" bash scripts/ci/npu/npu_ci_install_dependency.sh a3 diffusion # copy required file from our daily cache cp ~/.cache/modelscope/hub/datasets/otavia/ShareGPT_Vicuna_unfiltered/ShareGPT_V3_unfiltered_cleaned_split.json /tmp # copy gsm8k dataset cp ~/.cache/modelscope/hub/datasets/tmp/test.jsonl /tmp - name: Run test timeout-minutes: 60 env: SGLANG_USE_MODELSCOPE: true SGLANG_IS_IN_CI: true HF_ENDPOINT: https://hf-mirror.com TORCH_EXTENSIONS_DIR: /tmp/torch_extensions PYTORCH_NPU_ALLOC_CONF: "expandable_segments:True" STREAMS_PER_DEVICE: 32 run: | export PATH="/usr/local/Ascend/8.3.RC1/compiler/bishengir/bin:${PATH}" cd python python3 sglang/multimodal_gen/test/run_suite.py --suite 1-npu multimodal-gen-test-2-npu-a3: needs: [check-changes, pr-gate] if: needs.check-changes.outputs.multimodal_gen == 'true' runs-on: linux-aarch64-a3-16 container: image: swr.cn-southwest-2.myhuaweicloud.com/base_image/ascend-ci/cann:8.3.rc2-a3-ubuntu22.04-py3.11 steps: - name: Checkout code uses: actions/checkout@v4 - name: Mark repository safe run: | git config --system --add safe.directory ${GITHUB_WORKSPACE} - name: Install dependencies env: TORCH_CACHE_URL: "http://cache-service.nginx-pypi-cache.svc.cluster.local/whl/cpu" PYPI_CACHE_URL: "http://cache-service.nginx-pypi-cache.svc.cluster.local/pypi/simple" GITHUB_PROXY_URL: "https://gh-proxy.test.osinfra.cn/" run: | # speed up by using infra cache services CACHING_URL="cache-service.nginx-pypi-cache.svc.cluster.local" sed -Ei "s@(ports|archive).ubuntu.com@${CACHING_URL}:8081@g" /etc/apt/sources.list pip config set global.index-url http://${CACHING_URL}/pypi/simple pip config set global.trusted-host "${CACHING_URL}" bash scripts/ci/npu/npu_ci_install_dependency.sh a3 diffusion # copy required file from our daily cache cp ~/.cache/modelscope/hub/datasets/otavia/ShareGPT_Vicuna_unfiltered/ShareGPT_V3_unfiltered_cleaned_split.json /tmp # copy gsm8k dataset cp ~/.cache/modelscope/hub/datasets/tmp/test.jsonl /tmp - name: Run test timeout-minutes: 60 env: SGLANG_USE_MODELSCOPE: true SGLANG_IS_IN_CI: true HF_ENDPOINT: https://hf-mirror.com TORCH_EXTENSIONS_DIR: /tmp/torch_extensions PYTORCH_NPU_ALLOC_CONF: "expandable_segments:True" STREAMS_PER_DEVICE: 32 run: | export PATH="/usr/local/Ascend/8.3.RC1/compiler/bishengir/bin:${PATH}" cd python python3 sglang/multimodal_gen/test/run_suite.py --suite 2-npu multimodal-gen-test-8-npu-a3: needs: [check-changes, pr-gate] if: needs.check-changes.outputs.multimodal_gen == 'true' runs-on: linux-aarch64-a3-8 container: image: swr.cn-southwest-2.myhuaweicloud.com/base_image/ascend-ci/cann:8.5.0-a3-ubuntu22.04-py3.11 steps: - name: Checkout code uses: actions/checkout@v4 - name: Mark repository safe run: | git config --system --add safe.directory ${GITHUB_WORKSPACE} - name: Install dependencies env: TORCH_CACHE_URL: "http://cache-service.nginx-pypi-cache.svc.cluster.local/whl/cpu" PYPI_CACHE_URL: "http://cache-service.nginx-pypi-cache.svc.cluster.local/pypi/simple" GITHUB_PROXY_URL: "https://gh-proxy.test.osinfra.cn/" run: | # speed up by using infra cache services CACHING_URL="cache-service.nginx-pypi-cache.svc.cluster.local" sed -Ei "s@(ports|archive).ubuntu.com@${CACHING_URL}:8081@g" /etc/apt/sources.list pip config set global.index-url http://${CACHING_URL}/pypi/simple pip config set global.trusted-host "${CACHING_URL}" bash scripts/ci/npu/npu_ci_install_dependency.sh a3 diffusion # copy required file from our daily cache cp ~/.cache/modelscope/hub/datasets/otavia/ShareGPT_Vicuna_unfiltered/ShareGPT_V3_unfiltered_cleaned_split.json /tmp # copy gsm8k dataset cp ~/.cache/modelscope/hub/datasets/tmp/test.jsonl /tmp - name: Run test timeout-minutes: 60 env: SGLANG_USE_MODELSCOPE: true SGLANG_IS_IN_CI: true HF_ENDPOINT: https://hf-mirror.com TORCH_EXTENSIONS_DIR: /tmp/torch_extensions PYTORCH_NPU_ALLOC_CONF: "expandable_segments:True" STREAMS_PER_DEVICE: 32 run: | cd python python3 sglang/multimodal_gen/test/run_suite.py --suite 8-npu pr-test-npu-finish: needs: [ check-changes, stage-b-test-1-npu-a2, stage-b-test-2-npu-a2, stage-b-test-4-npu-a3, stage-b-test-16-npu-a3, multimodal-gen-test-1-npu-a3, multimodal-gen-test-2-npu-a3, multimodal-gen-test-8-npu-a3, ] if: always() runs-on: ubuntu-latest steps: - name: Check all dependent job statuses run: | # Convert the 'needs' context to a JSON string json_needs='${{ toJson(needs) }}' # Get a list of all job names from the JSON keys job_names=$(echo "$json_needs" | jq -r 'keys_unsorted[]') for job in $job_names; do # For each job, extract its result result=$(echo "$json_needs" | jq -r --arg j "$job" '.[$j].result') # Print the job name and its result echo "$job: $result" # Check for failure or cancellation and exit if found if [[ "$result" == "failure" || "$result" == "cancelled" ]]; then echo "The above jobs failed." exit 1 fi done # If the loop completes, all jobs were successful echo "All jobs completed successfully" exit 0