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MengqingCaoMengqingCao
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skip sucess ci
Signed-off-by: MengqingCao <cmq0113@163.com>
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‎.github/workflows/vllm_ascend_test_full.yaml‎

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@@ -126,20 +126,20 @@ jobs:
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VLLM_WORKER_MULTIPROC_METHOD: spawn
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VLLM_USE_MODELSCOPE: True
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run: |
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# We found that if running aclgraph tests in batch, it will cause AclmdlRICaptureBegin error. So we run
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# the test separately.
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pytest -sv tests/e2e/singlecard/test_aclgraph.py
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pytest -sv tests/e2e/singlecard/test_ascend_scheduler.py
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pytest -sv tests/e2e/singlecard/test_camem.py
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pytest -sv tests/e2e/singlecard/test_chunked.py
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pytest -sv tests/e2e/singlecard/test_embedding.py
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#pytest -sv tests/e2e/singlecard/test_guided_decoding.py
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#pytest -sv tests/e2e/singlecard/test_ilama_lora.py
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pytest -sv tests/e2e/singlecard/test_profile_execute_duration.py
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pytest -sv tests/e2e/singlecard/test_quantization.py
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pytest -sv tests/e2e/singlecard/test_sampler.py
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pytest -sv tests/e2e/singlecard/test_vlm.py
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# # We found that if running aclgraph tests in batch, it will cause AclmdlRICaptureBegin error. So we run
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# # the test separately.
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# pytest -sv tests/e2e/singlecard/test_aclgraph.py
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# pytest -sv tests/e2e/singlecard/test_ascend_scheduler.py
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# pytest -sv tests/e2e/singlecard/test_camem.py
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# pytest -sv tests/e2e/singlecard/test_chunked.py
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# pytest -sv tests/e2e/singlecard/test_embedding.py
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# #pytest -sv tests/e2e/singlecard/test_guided_decoding.py
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# #pytest -sv tests/e2e/singlecard/test_ilama_lora.py
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# pytest -sv tests/e2e/singlecard/test_profile_execute_duration.py
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# pytest -sv tests/e2e/singlecard/test_quantization.py
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# pytest -sv tests/e2e/singlecard/test_sampler.py
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# pytest -sv tests/e2e/singlecard/test_vlm.py
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# ------------------------------------ v1 spec decode test ------------------------------------ #
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pytest -sv tests/e2e/singlecard/spec_decode_v1/test_v1_mtp_correctness.py
@@ -148,86 +148,86 @@ jobs:
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pytest -sv tests/e2e/singlecard/ops/
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e2e-2-cards-full:
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# only trigger full test when pull request is approved
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needs: [changes]
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if: ${{ needs.changes.outputs.e2e_tracker == 'true' }}
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strategy:
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max-parallel: 2
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matrix:
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os: [linux-aarch64-a2-2]
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vllm_version: [6d8246aaffff3ebec84767e373212a7b8da328e2, v0.10.2]
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name: multicard e2e test - full
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runs-on: ${{ matrix.os }}
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container:
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image: swr.cn-southwest-2.myhuaweicloud.com/base_image/ascend-ci/cann:8.2.rc1-910b-ubuntu22.04-py3.11
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env:
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VLLM_LOGGING_LEVEL: ERROR
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VLLM_USE_MODELSCOPE: True
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steps:
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- name: Check npu and CANN info
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run: |
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npu-smi info
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cat /usr/local/Ascend/ascend-toolkit/latest/"$(uname -i)"-linux/ascend_toolkit_install.info
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- name: Config mirrors
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run: |
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sed -Ei 's@(ports|archive).ubuntu.com@cache-service.nginx-pypi-cache.svc.cluster.local:8081@g' /etc/apt/sources.list
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pip config set global.index-url http://cache-service.nginx-pypi-cache.svc.cluster.local/pypi/simple
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pip config set global.trusted-host cache-service.nginx-pypi-cache.svc.cluster.local
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apt-get update -y
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apt install git -y
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- name: Checkout vllm-project/vllm-ascend repo
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uses: actions/checkout@v4
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- name: Install system dependencies
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run: |
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apt-get -y install `cat packages.txt`
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apt-get -y install gcc g++ cmake libnuma-dev
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- name: Checkout vllm-project/vllm repo
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uses: actions/checkout@v4
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with:
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repository: vllm-project/vllm
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ref: ${{ matrix.vllm_version }}
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path: ./vllm-empty
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- name: Install vllm-project/vllm from source
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working-directory: ./vllm-empty
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run: |
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VLLM_TARGET_DEVICE=empty pip install -e .
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- name: Install vllm-project/vllm-ascend
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env:
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PIP_EXTRA_INDEX_URL: https://mirrors.huaweicloud.com/ascend/repos/pypi
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run: |
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pip install -r requirements-dev.txt
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pip install -v -e .
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- name: Run vllm-project/vllm-ascend test
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env:
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VLLM_WORKER_MULTIPROC_METHOD: spawn
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VLLM_USE_MODELSCOPE: True
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run: |
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#pytest -sv tests/e2e/multicard/test_data_parallel.py
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pytest -sv tests/e2e/multicard/test_expert_parallel.py
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# external_launcher test is not stable enough. Fix it later
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# pytest -sv tests/e2e/multicard/test_external_launcher.py
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pytest -sv tests/e2e/multicard/test_fused_moe_allgather_ep.py
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#pytest -sv tests/e2e/multicard/test_ilama_lora_tp2.py
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# To avoid oom, we need to run the test in a single process.
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pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_QwQ
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pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek_multistream_moe
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pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_Qwen3_W8A8
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pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_Qwen3_W4A8DYNAMIC
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pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek_W4A8DYNAMIC
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pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_sp_for_qwen3_moe
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pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_Qwen_Dense_with_flashcomm_v1
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pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_Qwen_Dense_with_prefetch_mlp_weight
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#pytest -sv tests/e2e/multicard/test_pipeline_parallel.py
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pytest -sv tests/e2e/multicard/test_prefix_caching.py
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pytest -sv tests/e2e/multicard/test_qwen3_moe.py
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pytest -sv tests/e2e/multicard/test_torchair_graph_mode.py
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# e2e-2-cards-full:
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# # only trigger full test when pull request is approved
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# needs: [changes]
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# if: ${{ needs.changes.outputs.e2e_tracker == 'true' }}
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# strategy:
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# max-parallel: 2
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# matrix:
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# os: [linux-aarch64-a2-2]
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# vllm_version: [6d8246aaffff3ebec84767e373212a7b8da328e2, v0.10.2]
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# name: multicard e2e test - full
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# runs-on: ${{ matrix.os }}
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# container:
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# image: swr.cn-southwest-2.myhuaweicloud.com/base_image/ascend-ci/cann:8.2.rc1-910b-ubuntu22.04-py3.11
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# env:
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# VLLM_LOGGING_LEVEL: ERROR
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# VLLM_USE_MODELSCOPE: True
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# steps:
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# - name: Check npu and CANN info
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# run: |
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# npu-smi info
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# cat /usr/local/Ascend/ascend-toolkit/latest/"$(uname -i)"-linux/ascend_toolkit_install.info
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# - name: Config mirrors
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# run: |
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# sed -Ei 's@(ports|archive).ubuntu.com@cache-service.nginx-pypi-cache.svc.cluster.local:8081@g' /etc/apt/sources.list
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# pip config set global.index-url http://cache-service.nginx-pypi-cache.svc.cluster.local/pypi/simple
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# pip config set global.trusted-host cache-service.nginx-pypi-cache.svc.cluster.local
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# apt-get update -y
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# apt install git -y
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# - name: Checkout vllm-project/vllm-ascend repo
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# uses: actions/checkout@v4
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# - name: Install system dependencies
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# run: |
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# apt-get -y install `cat packages.txt`
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# apt-get -y install gcc g++ cmake libnuma-dev
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# - name: Checkout vllm-project/vllm repo
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# uses: actions/checkout@v4
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# with:
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# repository: vllm-project/vllm
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# ref: ${{ matrix.vllm_version }}
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# path: ./vllm-empty
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# - name: Install vllm-project/vllm from source
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# working-directory: ./vllm-empty
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# run: |
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# VLLM_TARGET_DEVICE=empty pip install -e .
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# - name: Install vllm-project/vllm-ascend
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# env:
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# PIP_EXTRA_INDEX_URL: https://mirrors.huaweicloud.com/ascend/repos/pypi
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# run: |
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# pip install -r requirements-dev.txt
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# pip install -v -e .
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# - name: Run vllm-project/vllm-ascend test
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# env:
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# VLLM_WORKER_MULTIPROC_METHOD: spawn
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# VLLM_USE_MODELSCOPE: True
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# run: |
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# #pytest -sv tests/e2e/multicard/test_data_parallel.py
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# pytest -sv tests/e2e/multicard/test_expert_parallel.py
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# # external_launcher test is not stable enough. Fix it later
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# # pytest -sv tests/e2e/multicard/test_external_launcher.py
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# pytest -sv tests/e2e/multicard/test_fused_moe_allgather_ep.py
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# #pytest -sv tests/e2e/multicard/test_ilama_lora_tp2.py
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# # To avoid oom, we need to run the test in a single process.
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# pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_QwQ
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# pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek_multistream_moe
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# pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_Qwen3_W8A8
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# pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_Qwen3_W4A8DYNAMIC
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# pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek_W4A8DYNAMIC
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# pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_sp_for_qwen3_moe
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# pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_Qwen_Dense_with_flashcomm_v1
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# pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_Qwen_Dense_with_prefetch_mlp_weight
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# #pytest -sv tests/e2e/multicard/test_pipeline_parallel.py
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# pytest -sv tests/e2e/multicard/test_prefix_caching.py
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# pytest -sv tests/e2e/multicard/test_qwen3_moe.py
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# pytest -sv tests/e2e/multicard/test_torchair_graph_mode.py

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