name: 'Nightly Test (NPU) Multi Node Template' on: workflow_call: inputs: runner: required: false type: string default: linux-amd64-cpu-8 test_type: required: false type: string default: perf description: perf or accuracy test_config_name: required: true type: string description: test config name prefill_size: required: false type: number default: 0 description: number of prefill nodes for pd-separation decode_size: required: false type: number default: 0 description: number of decode nodes for pd-separation router_size: required: false type: number default: 0 description: number of router nodes for pd-separation node_size: required: false type: number default: 0 description: number of nodes for pd-mix test_case: required: true type: string description: path of test case file image: required: false type: string description: image for pods default: "swr.cn-southwest-2.myhuaweicloud.com/base_image/dockerhub/lmsysorg/sglang:main-cann8.5.0-a3" install_sglang_from_source: required: false type: boolean default: true description: use sglang from source code or from docker image prefill_decode_deployment: required: true type: string description: "The deployment of prefill and decode nodes. ['separation', 'mix']" transformers_version: required: false type: string default: "" description: "The transformers version number for running sglang. Use default version in image if keep empty." concurrency: group: ascend-nightly-multi-node-${{ github.workflow_ref }}-${{ github.ref }}-${{ inputs.test_config_name }} cancel-in-progress: true jobs: e2e: name: ${{ inputs.test_config_name }} runs-on: ${{ inputs.runner }} container: image: swr.ap-southeast-1.myhuaweicloud.com/base_image/ascend-ci/sglang:main-x86 env: KUBECONFIG: /root/.cache/.cache/kb.yaml KUBECTL: /root/.cache/.cache/kubectl NAMESPACE: sgl-project KUBE_JOB_NAME: ascend-sglang-${{ inputs.test_type }}-test SGLANG_IS_IN_CI: true ASCEND_E2E_TEST_CONFIG_PATH: python/sglang/test/ascend/e2e SGLANG_USE_MODELSCOPE: true HF_ENDPOINT: https://hf-mirror.com TRANSFORMERS_VERBOSITY: "error" GDN_ATTN_BACKEND_TRITON: 1 steps: - name: Install dependencies run: | pip3 install -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple jinja2 pip3 install -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple psutil # Install kubernetes pip3 install -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple kubernetes cp $KUBECTL /usr/local/sbin/ - name: Checkout code uses: actions/checkout@v4 - name: Prepare code for testing run: | # copy source code to shared-disk current_path=$(pwd) target_path=/root/.cache/tests/sglang rm -rf ${target_path} mkdir -p ${target_path} cp -r ${current_path}/* ${target_path}/ - name: Clear resources run: | cd ${ASCEND_E2E_TEST_CONFIG_PATH} kubectl delete -f ./k8s_multi_pd_*.yaml --ignore-not-found=true || true pod_name_prefix="${KUBE_JOB_NAME}-" echo "kube name space: $NAMESPACE, pod name prefix: ${pod_name_prefix}" while true; do if kubectl get po -A -n $NAMESPACE | grep -q "${pod_name_prefix}"; then echo "Found exist sglang job, sleeping for 30 seconds..." sleep 30 kubectl get pods | grep "${pod_name_prefix}" | awk '{print $1}' | xargs kubectl delete pod -n $NAMESPACE || true else echo "No sglang job exist, start test case..." break fi done - name: Run test timeout-minutes: 300 run: | # sglang_source_relative_path is shared-disk path sglang_source_relative_path=tests/sglang sglang_source_path=/root/.cache/${sglang_source_relative_path} echo "Source code path: ${sglang_source_path}" test_case="${{ inputs.test_case }}" if [ ! -f "${sglang_source_path}/${test_case}" ]; then echo "The testcase does not exit: ${sglang_source_path}/${test_case}" exit 1 fi # prepare for output data current_date=$(date +%Y%m%d) test_data_output_path=/root/.cache/tests/output/${{ inputs.test_type }}/${current_date} mkdir -p ${test_data_output_path} tc_name=${test_case##*/} tc_name=${tc_name%.*} metrics_data_path=${test_data_output_path}/${tc_name} mkdir -p ${metrics_data_path} echo "Metrics file path: ${metrics_data_path}" prefill_decode_deployment="${{ inputs.prefill_decode_deployment }}" kube_job_type="" if [ "$prefill_decode_deployment" = "separation" ];then kube_job_type=multi-pd-separation elif [ "$prefill_decode_deployment" = "mix" ];then kube_job_type=multi-pd-mix else echo "Unsupported deployment type: ${prefill_decode_deployment}" exit 1 fi transformers_version="${{ inputs.transformers_version }}" cd ${ASCEND_E2E_TEST_CONFIG_PATH} CMD="python3 -u run_npu_e2e_test.py \ --env ci \ --image ${{ inputs.image }} \ --sglang-source-relative-path ${sglang_source_relative_path} \ --metrics-data-file ${metrics_data_path} \ --test-case ${test_case} \ --kube-name-space ${NAMESPACE} \ --kube-job-type ${kube_job_type} \ --kube-job-name-prefix ${KUBE_JOB_NAME}" if [ "$prefill_decode_deployment" = "separation" ];then CMD="${CMD} \ --prefill-size ${{ inputs.prefill_size }} \ --decode-size ${{ inputs.decode_size }} \ --router-size ${{ inputs.router_size }}" elif [ "$prefill_decode_deployment" = "mix" ];then CMD="${CMD} --node-size ${{ inputs.node_size }}" else echo "Unsupported deployment type: ${prefill_decode_deployment}" exit 1 fi if [ "$SGLANG_IS_IN_CI" = "true" ] || [ "$SGLANG_IS_IN_CI" = "True" ];then echo "Run test in ci." CMD="${CMD} --sglang-is-in-ci" fi install_sglang_from_source="${{ inputs.install_sglang_from_source }}" if [ "$install_sglang_from_source" = "true" ] || [ "$install_sglang_from_source" = "True" ];then echo "Install sglang from source." CMD="${CMD} --install-sglang-from-source" commit_id=${{ github.sha }} echo "commit id: ${commit_id}" > ${test_data_output_path}/commit_id else echo "Use sglang from image: ${{ inputs.image }}" fi if [ "$transformers_version" != "" ];then CMD="${CMD} --transformers-version ${transformers_version}" else echo "Use default transformers version in image." fi echo "Run command: ${CMD}" eval "${CMD}" - name: Upload metrics if: always() uses: actions/upload-artifact@v4 with: name: metrics-${{ inputs.test_config_name }} path: /tmp/metrics.json retention-days: 7 - name: Post process if: always() run: | cd ${ASCEND_E2E_TEST_CONFIG_PATH} kubectl get pods -n $NAMESPACE | grep $KUBE_JOB_NAME kubectl delete -f ./k8s_multi_pd_*.yaml --ignore-not-found=true || true pod_name_prefix="${KUBE_JOB_NAME}-" echo "kube name space: $NAMESPACE, pod name prefix: ${pod_name_prefix}" while true; do if kubectl get po -A -n $NAMESPACE | grep -q "${pod_name_prefix}"; then echo "Found exist sglang job, sleeping for 30 seconds..." sleep 30 kubectl get pods | grep "${pod_name_prefix}" | awk '{print $1}' | xargs kubectl delete pod -n $NAMESPACE || true else echo "No sglang job exist, start test case..." break fi done