From 8a4f4a0c452e05c498362c6e43ca30055c12dfdb Mon Sep 17 00:00:00 2001 From: zhihang Date: Thu, 11 Sep 2025 14:00:37 +0800 Subject: [PATCH 1/3] upgrade vllm to 0.10.1 Signed-off-by: zhihang --- AI/vllm-cpu/0.10.1/22.03-lts-sp4/Dockerfile | 25 ++++++ AI/vllm-cpu/0.10.1/24.03-lts/Dockerfile | 22 +++++ AI/vllm-cpu/README.md | 3 +- AI/vllm-cpu/doc/image-info.yml | 85 ++++++++++++++++++++ AI/vllm-cpu/doc/picture/logo.png | Bin 0 -> 81610 bytes AI/vllm-cpu/meta.yml | 6 ++ 6 files changed, 140 insertions(+), 1 deletion(-) create mode 100644 AI/vllm-cpu/0.10.1/22.03-lts-sp4/Dockerfile create mode 100644 AI/vllm-cpu/0.10.1/24.03-lts/Dockerfile create mode 100644 AI/vllm-cpu/doc/image-info.yml create mode 100644 AI/vllm-cpu/doc/picture/logo.png diff --git a/AI/vllm-cpu/0.10.1/22.03-lts-sp4/Dockerfile b/AI/vllm-cpu/0.10.1/22.03-lts-sp4/Dockerfile new file mode 100644 index 00000000..cb289ea4 --- /dev/null +++ b/AI/vllm-cpu/0.10.1/22.03-lts-sp4/Dockerfile @@ -0,0 +1,25 @@ +ARG BASE=openeuler/openeuler:22.03-lts-sp4 +ARG VERSION=v0.10.1 + +FROM ${BASE} + +ARG VERSION + +RUN yum update -y && \ + yum install -y make gcc-toolset-12-gcc gcc-toolset-12-gcc-c++ python python-pip python3-devel git vim wget net-tools numactl-devel && \ + rm -rf /var/cache/yum + +ENV PATH=/opt/openEuler/gcc-toolset-12/root/usr/bin/:$PATH +ENV LD_LIBRARY_PATH=/opt/openEuler/gcc-toolset-12/root/usr/lib64/:$LD_LIBRARY_PATH + +WORKDIR /workspace + +RUN git clone -b ${VERSION} https://github.com/vllm-project/vllm.git + +WORKDIR /workspace/vllm + +RUN pip install "cmake>=3.26" wheel packaging ninja "setuptools-scm>=8" numpy + +RUN VLLM_TARGET_DEVICE="cpu" pip install -e . --extra-index-url https://download.pytorch.org/whl/cpu + +ENTRYPOINT ["python", "-m", "vllm.entrypoints.openai.api_server"] diff --git a/AI/vllm-cpu/0.10.1/24.03-lts/Dockerfile b/AI/vllm-cpu/0.10.1/24.03-lts/Dockerfile new file mode 100644 index 00000000..e4337c40 --- /dev/null +++ b/AI/vllm-cpu/0.10.1/24.03-lts/Dockerfile @@ -0,0 +1,22 @@ +ARG BASE=openeuler/openeuler:24.03-lts +ARG VERSION=v0.10.1 + +FROM ${BASE} + +ARG VERSION + +RUN yum update -y && \ + yum install -y make gcc gcc-c++ python python-pip python3-devel git vim wget net-tools numactl-devel && \ + rm -rf /var/cache/yum + +WORKDIR /workspace + +RUN git clone -b ${VERSION} https://github.com/vllm-project/vllm.git + +WORKDIR /workspace/vllm + +RUN pip install "cmake>=3.26" wheel packaging ninja "setuptools-scm>=8" numpy + +RUN VLLM_TARGET_DEVICE="cpu" pip install -e . --extra-index-url https://download.pytorch.org/whl/cpu + +ENTRYPOINT ["python", "-m", "vllm.entrypoints.openai.api_server"] diff --git a/AI/vllm-cpu/README.md b/AI/vllm-cpu/README.md index 0f2b7e30..9661ea1e 100644 --- a/AI/vllm-cpu/README.md +++ b/AI/vllm-cpu/README.md @@ -44,7 +44,8 @@ The tag of each vLLM docker image is consist of the version of vLLM and the vers |[0.9.0-oe2403lts](https://gitee.com/openeuler/openeuler-docker-images/blob/master/AI/vllm-cpu/0.9.0/24.03-lts/Dockerfile)| vLLM 0.9.0 on openEuler 24.03-LTS | amd64, arm64 | |[0.9.1-oe2203sp4](https://gitee.com/openeuler/openeuler-docker-images/blob/master/AI/vllm-cpu/0.9.1/22.03-lts-sp4/Dockerfile)| vLLM 0.9.1 on openEuler 22.03-LTS-SP4 | amd64, arm64 | |[0.9.1-oe2403lts](https://gitee.com/openeuler/openeuler-docker-images/blob/master/AI/vllm-cpu/0.9.1/24.03-lts/Dockerfile)| vLLM 0.9.1 on openEuler 24.03-LTS | amd64, arm64 | - +|[0.10.1-oe2203sp4](https://gitee.com/openeuler/openeuler-docker-images/blob/master/AI/vllm-cpu/0.10.1/22.03-lts-sp4/Dockerfile)| vLLM 0.10.1 on openEuler 22.03-LTS-SP4 | amd64, arm64 | +|[0.10.1-oe2403lts](https://gitee.com/openeuler/openeuler-docker-images/blob/master/AI/vllm-cpu/0.10.1/24.03-lts/Dockerfile)| vLLM 0.10.1 on openEuler 24.03-LTS | amd64, arm64 | # Usage diff --git a/AI/vllm-cpu/doc/image-info.yml b/AI/vllm-cpu/doc/image-info.yml new file mode 100644 index 00000000..ffdfd48a --- /dev/null +++ b/AI/vllm-cpu/doc/image-info.yml @@ -0,0 +1,85 @@ +name: vllm-cpu +category: ai +description: vLLM是一个高性能的、可扩展的、易于使用的用于大语言模型（LLM）推理的库。它支持CPU和GPU推理，并且可以与流行的深度学习框架（如PyTorch和TensorFlow）无缝集成。 +environment: | + 本应用在Docker环境中运行，安装Docker执行如下命令 + ``` + yum install -y docker + ``` +tags: | + vLLM镜像的Tag由其版本信息和基础镜像版本信息组成，详细内容如下 + + | Tags | Currently | Architectures| + |--|--|--| + |[0.6.3-oe2403lts](https://gitee.com/openeuler/openeuler-docker-images/blob/master/AI/vllm-cpu/0.6.3/24.03-lts/Dockerfile)| vLLM 0.6.3 on openEuler 24.03-LTS | amd64 | + |[0.8.3-oe2203sp4](https://gitee.com/openeuler/openeuler-docker-images/blob/master/AI/vllm-cpu/0.8.3/22.03-lts-sp4/Dockerfile)| vLLM 0.8.3 on openEuler 22.03-LTS-SP4 | amd64, arm64 | + |[0.8.3-oe2403lts](https://gitee.com/openeuler/openeuler-docker-images/blob/master/AI/vllm-cpu/0.8.3/24.03-lts/Dockerfile)| vLLM 0.8.3 on openEuler 24.03-LTS | amd64, arm64 | + |[0.8.4-oe2203sp4](https://gitee.com/openeuler/openeuler-docker-images/blob/master/AI/vllm-cpu/0.8.4/22.03-lts-sp4/Dockerfile)| vLLM 0.8.4 on openEuler 22.03-LTS-SP4 | amd64 | + |[0.8.4-oe2403lts](https://gitee.com/openeuler/openeuler-docker-images/blob/master/AI/vllm-cpu/0.8.4/24.03-lts/Dockerfile)| vLLM 0.8.4 on openEuler 24.03-LTS | amd64 | + |[0.8.5-oe2203sp4](https://gitee.com/openeuler/openeuler-docker-images/blob/master/AI/vllm-cpu/0.8.5/22.03-lts-sp4/Dockerfile)| vLLM 0.8.5 on openEuler 22.03-LTS-SP4 | amd64, arm64 | + |[0.8.5-oe2403lts](https://gitee.com/openeuler/openeuler-docker-images/blob/master/AI/vllm-cpu/0.8.5/24.03-lts/Dockerfile)| vLLM 0.8.5 on openEuler 24.03-LTS | amd64, arm64 | + |[0.9.0-oe2203sp4](https://gitee.com/openeuler/openeuler-docker-images/blob/master/AI/vllm-cpu/0.9.0/22.03-lts-sp4/Dockerfile)| vLLM 0.9.0 on openEuler 22.03-LTS-SP4 | amd64, arm64 | + |[0.9.0-oe2403lts](https://gitee.com/openeuler/openeuler-docker-images/blob/master/AI/vllm-cpu/0.9.0/24.03-lts/Dockerfile)| vLLM 0.9.0 on openEuler 24.03-LTS | amd64, arm64 | + |[0.9.1-oe2203sp4](https://gitee.com/openeuler/openeuler-docker-images/blob/master/AI/vllm-cpu/0.9.1/22.03-lts-sp4/Dockerfile)| vLLM 0.9.1 on openEuler 22.03-LTS-SP4 | amd64, arm64 | + |[0.9.1-oe2403lts](https://gitee.com/openeuler/openeuler-docker-images/blob/master/AI/vllm-cpu/0.9.1/24.03-lts/Dockerfile)| vLLM 0.9.1 on openEuler 24.03-LTS | amd64, arm64 | + |[0.10.1-oe2203sp4](https://gitee.com/openeuler/openeuler-docker-images/blob/master/AI/vllm-cpu/0.10.1/22.03-lts-sp4/Dockerfile)| vLLM 0.10.1 on openEuler 22.03-LTS-SP4 | amd64, arm64 | + |[0.10.1-oe2403lts](https://gitee.com/openeuler/openeuler-docker-images/blob/master/AI/vllm-cpu/0.10.1/24.03-lts/Dockerfile)| vLLM 0.10.1 on openEuler 24.03-LTS | amd64, arm64 | + +download: | + 拉取镜像到本地 + ``` + docker pull openeuler/vllm-cpu:{Tag} + ``` + +usage: | + - 启动容器 + ``` + docker run \ + --name my-vllm \ + -it openeuler/vllm-cpu:{Tag} bash + ``` + 用户可根据自身需求选择对应的硬件设备{device}、对应版本的{Tag}以及容器启动的选项。 + + - 参数说明 + | 配置项 | 描述 | + |--|--| + | `--name my-vllm` | 容器名称。| + | `-it` | 以交互模式启动容器。 | + | `openeuler/vllm-cpu:{Tag}` | 指定要运行的镜像为 `openeuler/vllm-cpu`，其中` {Tag}` 是需要替换的镜像标签。 | + + - 容器测试 + + 查看运行日志 + ``` + docker logs -f my-vllm + ``` + + 使用shell交互 + ``` + docker exec -it my-vllm /bin/bash + ``` + +license: BSD 3-Clause license +similar_packages: + - Ollama: Ollama是一个用于在本地运行大型语言模型（LLM）的工具，旨在简化模型的部署和管理。它支持多种LLM，并提供了一个统一的接口来与这些模型进行交互。 + - ONNX Runtime: ONNX Runtime是一个高性能的推理引擎，用于运行ONNX（Open Neural Network Exchange）格式的机器学习模型。ONNX是一个开放的生态系统，旨在促进不同深度学习框架之间的互操作性。 +dependency: + - transformers + - datasets + - torch + - sentencepiece + - protobuf + - numpy + - psutil + - aiohttp + - aiofiles + - fastapi + - uvicorn + +homepage: https://github.com/vllm-project/vllm +upstream: + version_url: vllm-project/vllm + backend: GitHub + version_scheme: RPM + 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ChU5?c literal 0 HcmV?d00001 diff --git a/AI/vllm-cpu/meta.yml b/AI/vllm-cpu/meta.yml index a37dd739..d5fb3998 100644 --- a/AI/vllm-cpu/meta.yml +++ b/AI/vllm-cpu/meta.yml @@ -29,3 +29,9 @@ 0.9.1-oe2403lts: path: 0.9.1/24.03-lts/Dockerfile + +0.10.1-oe2203sp4: + path: 0.10.1/22.03-lts-sp4/Dockerfile + +0.10.1-oe2403lts: + path: 0.10.1/24.03-lts/Dockerfile \ No newline at end of file -- Gitee From 099ec169fbae3e4e144ace4d6897da3b0f0839be Mon Sep 17 00:00:00 2001 From: zhihang Date: Thu, 11 Sep 2025 18:11:33 +0800 Subject: [PATCH 2/3] fix a bug Signed-off-by: zhihang --- AI/vllm-cpu/0.10.1/22.03-lts-sp4/Dockerfile | 4 ++++ AI/vllm-cpu/0.10.1/24.03-lts/Dockerfile | 4 ++++ 2 files changed, 8 insertions(+) diff --git a/AI/vllm-cpu/0.10.1/22.03-lts-sp4/Dockerfile b/AI/vllm-cpu/0.10.1/22.03-lts-sp4/Dockerfile index cb289ea4..d53f9248 100644 --- a/AI/vllm-cpu/0.10.1/22.03-lts-sp4/Dockerfile +++ b/AI/vllm-cpu/0.10.1/22.03-lts-sp4/Dockerfile @@ -20,6 +20,10 @@ WORKDIR /workspace/vllm RUN pip install "cmake>=3.26" wheel packaging ninja "setuptools-scm>=8" numpy +RUN sed -i 's/torch==2.6.0+cpu/torch==2.7.0/g' requirements/cpu.txt && \ + sed -i 's/torch==2.6.0+cpu/torch==2.7.0/g' requirements/cpu-build.txt && \ + sed -i 's/intel_extension_for_pytorch==2.6.0/intel_extension_for_pytorch==2.7.0/g' requirements/cpu.txt + RUN VLLM_TARGET_DEVICE="cpu" pip install -e . --extra-index-url https://download.pytorch.org/whl/cpu ENTRYPOINT ["python", "-m", "vllm.entrypoints.openai.api_server"] diff --git a/AI/vllm-cpu/0.10.1/24.03-lts/Dockerfile b/AI/vllm-cpu/0.10.1/24.03-lts/Dockerfile index e4337c40..09ec370a 100644 --- a/AI/vllm-cpu/0.10.1/24.03-lts/Dockerfile +++ b/AI/vllm-cpu/0.10.1/24.03-lts/Dockerfile @@ -17,6 +17,10 @@ WORKDIR /workspace/vllm RUN pip install "cmake>=3.26" wheel packaging ninja "setuptools-scm>=8" numpy +RUN sed -i 's/torch==2.6.0+cpu/torch==2.7.0/g' requirements/cpu.txt && \ + sed -i 's/torch==2.6.0+cpu/torch==2.7.0/g' requirements/cpu-build.txt && \ + sed -i 's/intel_extension_for_pytorch==2.6.0/intel_extension_for_pytorch==2.7.0/g' requirements/cpu.txt + RUN VLLM_TARGET_DEVICE="cpu" pip install -e . --extra-index-url https://download.pytorch.org/whl/cpu ENTRYPOINT ["python", "-m", "vllm.entrypoints.openai.api_server"] -- Gitee From 5ec5ae65f771c1eea45524c6c38eb18b6917d624 Mon Sep 17 00:00:00 2001 From: zhihang Date: Fri, 12 Sep 2025 10:43:22 +0800 Subject: [PATCH 3/3] update Dockerfile Signed-off-by: zhihang --- AI/vllm-cpu/0.10.1/22.03-lts-sp4/Dockerfile | 43 ++++++++++++++++----- AI/vllm-cpu/0.10.1/24.03-lts/Dockerfile | 41 ++++++++++++++++---- 2 files changed, 67 insertions(+), 17 deletions(-) diff --git a/AI/vllm-cpu/0.10.1/22.03-lts-sp4/Dockerfile b/AI/vllm-cpu/0.10.1/22.03-lts-sp4/Dockerfile index d53f9248..b40c0d93 100644 --- a/AI/vllm-cpu/0.10.1/22.03-lts-sp4/Dockerfile +++ b/AI/vllm-cpu/0.10.1/22.03-lts-sp4/Dockerfile @@ -1,13 +1,30 @@ ARG BASE=openeuler/openeuler:22.03-lts-sp4 ARG VERSION=v0.10.1 -FROM ${BASE} +FROM ${BASE} AS base ARG VERSION RUN yum update -y && \ - yum install -y make gcc-toolset-12-gcc gcc-toolset-12-gcc-c++ python python-pip python3-devel git vim wget net-tools numactl-devel && \ - rm -rf /var/cache/yum + yum install -y \ + ccache \ + git \ + curl \ + wget \ + ca-certificates \ + gcc-toolset-12-gcc \ + gcc-toolset-12-gcc-c++ \ + python \ + python-pip \ + python3-devel \ + git \ + ffmpeg \ + libSM \ + libXext \ + jq \ + lsof \ + numactl-devel && \ + yum clean all ENV PATH=/opt/openEuler/gcc-toolset-12/root/usr/bin/:$PATH ENV LD_LIBRARY_PATH=/opt/openEuler/gcc-toolset-12/root/usr/lib64/:$LD_LIBRARY_PATH @@ -18,12 +35,20 @@ RUN git clone -b ${VERSION} https://github.com/vllm-project/vllm.git WORKDIR /workspace/vllm -RUN pip install "cmake>=3.26" wheel packaging ninja "setuptools-scm>=8" numpy +RUN pip install -r requirements/cpu.txt -RUN sed -i 's/torch==2.6.0+cpu/torch==2.7.0/g' requirements/cpu.txt && \ - sed -i 's/torch==2.6.0+cpu/torch==2.7.0/g' requirements/cpu-build.txt && \ - sed -i 's/intel_extension_for_pytorch==2.6.0/intel_extension_for_pytorch==2.7.0/g' requirements/cpu.txt +FROM base AS build -RUN VLLM_TARGET_DEVICE="cpu" pip install -e . --extra-index-url https://download.pytorch.org/whl/cpu +RUN pip install -r requirements/cpu-build.txt -ENTRYPOINT ["python", "-m", "vllm.entrypoints.openai.api_server"] +RUN VLLM_TARGET_DEVICE=cpu python3 setup.py bdist_wheel + +FROM base AS release + +COPY --from=build /workspace/vllm/dist /workspace/vllm/dist + +RUN pip install dist/*.whl + +WORKDIR /workspace + +ENTRYPOINT ["python", "-m", "vllm.entrypoints.openai.api_server"] \ No newline at end of file diff --git a/AI/vllm-cpu/0.10.1/24.03-lts/Dockerfile b/AI/vllm-cpu/0.10.1/24.03-lts/Dockerfile index 09ec370a..d81feb54 100644 --- a/AI/vllm-cpu/0.10.1/24.03-lts/Dockerfile +++ b/AI/vllm-cpu/0.10.1/24.03-lts/Dockerfile @@ -1,13 +1,30 @@ ARG BASE=openeuler/openeuler:24.03-lts ARG VERSION=v0.10.1 -FROM ${BASE} +FROM ${BASE} AS base ARG VERSION RUN yum update -y && \ - yum install -y make gcc gcc-c++ python python-pip python3-devel git vim wget net-tools numactl-devel && \ - rm -rf /var/cache/yum + yum install -y \ + ccache \ + git \ + curl \ + wget \ + ca-certificates \ + gcc \ + gcc-c++ \ + python \ + python-pip \ + python3-devel \ + git \ + ffmpeg \ + libSM \ + libXext \ + jq \ + lsof \ + numactl-devel && \ + yum clean all WORKDIR /workspace @@ -15,12 +32,20 @@ RUN git clone -b ${VERSION} https://github.com/vllm-project/vllm.git WORKDIR /workspace/vllm -RUN pip install "cmake>=3.26" wheel packaging ninja "setuptools-scm>=8" numpy +RUN pip install -r requirements/cpu.txt -RUN sed -i 's/torch==2.6.0+cpu/torch==2.7.0/g' requirements/cpu.txt && \ - sed -i 's/torch==2.6.0+cpu/torch==2.7.0/g' requirements/cpu-build.txt && \ - sed -i 's/intel_extension_for_pytorch==2.6.0/intel_extension_for_pytorch==2.7.0/g' requirements/cpu.txt +FROM base AS build -RUN VLLM_TARGET_DEVICE="cpu" pip install -e . --extra-index-url https://download.pytorch.org/whl/cpu +RUN pip install -r requirements/cpu-build.txt + +RUN VLLM_TARGET_DEVICE=cpu python3 setup.py bdist_wheel + +FROM base AS release + +COPY --from=build /workspace/vllm/dist /workspace/vllm/dist + +RUN pip install dist/*.whl + +WORKDIR /workspace ENTRYPOINT ["python", "-m", "vllm.entrypoints.openai.api_server"] -- Gitee