This PR add custom ascendc kernel rotary_embedding support in vllm-ascend, related CMakeLists and setuptools is also added in this PR. Related: https://github.com/vllm-project/vllm-ascend/issues/156 --------- Signed-off-by: ganyi <pleaplusone.gy@gmail.com>
121 lines
3.9 KiB
YAML
121 lines
3.9 KiB
YAML
#
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# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
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# This file is a part of the vllm-ascend project.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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name: 'e2e test'
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on:
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pull_request:
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branches:
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- 'main'
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- '*-dev'
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paths:
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- '*.txt'
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- '**/*.py'
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- '.github/workflows/vllm_ascend_test_main.yaml'
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- '!docs/**'
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- 'pytest.ini'
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# Bash shells do not use ~/.profile or ~/.bashrc so these shells need to be explicitly
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# declared as "shell: bash -el {0}" on steps that need to be properly activated.
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# It's used to activate ascend-toolkit environment variables.
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defaults:
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run:
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shell: bash -el {0}
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jobs:
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test:
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name: vLLM Ascend test (self-host)
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runs-on: linux-arm64-npu-1 # actionlint-ignore: runner-label
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container:
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image: quay.io/ascend/cann:8.0.0-910b-ubuntu22.04-py3.10
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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 -i 's|ports.ubuntu.com|mirrors.tuna.tsinghua.edu.cn|g' /etc/apt/sources.list
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pip config set global.index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
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apt-get update -y
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apt install git -y
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git config --global url."https://gh-proxy.test.osinfra.cn/https://github.com/".insteadOf https://github.com/
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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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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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run: |
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pip uninstall -y numpy
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pip install -r requirements-dev.txt
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pip install -e .
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- name: Install pta
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run: |
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if [ ! -d /root/.cache/pta ]; then
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mkdir -p /root/.cache/pta
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fi
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if [ ! -f /root/.cache/pta/torch_npu-2.5.1.dev20250320-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl ]; then
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cd /root/.cache/pta
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rm -rf pytorch_v2.5.1_py310*
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wget https://pytorch-package.obs.cn-north-4.myhuaweicloud.com/pta/Daily/v2.5.1/20250320.3/pytorch_v2.5.1_py310.tar.gz
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tar -zxvf pytorch_v2.5.1_py310.tar.gz
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fi
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pip install /root/.cache/pta/torch_npu-2.5.1.dev20250320-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
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- name: Run vllm-project/vllm-ascend test for V0 Engine
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env:
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VLLM_USE_V1: 0
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HF_ENDPOINT: https://hf-mirror.com
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run: |
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VLLM_USE_V1=0 pytest -sv tests
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- name: Run vllm-project/vllm-ascend test for V1 Engine
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env:
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VLLM_USE_V1: 1
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VLLM_WORKER_MULTIPROC_METHOD: spawn
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HF_ENDPOINT: https://hf-mirror.com
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run: |
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pytest -sv tests
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- name: Run vllm-project/vllm test for V0 Engine
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env:
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VLLM_USE_V1: 0
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PYTORCH_NPU_ALLOC_CONF: max_split_size_mb:256
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HF_ENDPOINT: https://hf-mirror.com
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run: |
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pytest -sv
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