263 lines
15 KiB
Docker
263 lines
15 KiB
Docker
# =============================================================================
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# MinerU on ROCm 7.2.1 Docker Image
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# 原生 Linux + Ubuntu 24.04 + ROCm 7.2.1 + PyTorch 2.11.0 + vllm + MinerU 3.2.0
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#
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# 国内网络优化版：Ubuntu/PyPI/GitHub 全部使用国内镜像
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# 构建前请根据你的 GPU 修改 ARCH 参数（默认 gfx1201 = RX 9070）
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# =============================================================================
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FROM ubuntu:24.04
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# -- 构建参数 ---------------------------------------------------------------
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# GPU 架构：gfx1201(RX 9070) gfx1200(RX 9060) gfx1100(RX 7900) gfx1101(RX 7800/7700) gfx1030(RX 6900/6800)
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ARG ARCH=gfx1201
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ARG PYTHON_VER=3.12
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ARG VENV=/opt/mineru_venv
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ARG TORCH_INDEX=https://download.pytorch.org/whl/rocm7.2
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# -- GitHub 访问（国内无镜像，需代理）----------------------------------------
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ARG GIT_PROXY=http://127.0.0.1:8118
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# -- 国内镜像配置 -----------------------------------------------------------
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# PyPI 镜像
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ARG PIP_INDEX=https://pypi.tuna.tsinghua.edu.cn/simple
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# -- 环境变量 ---------------------------------------------------------------
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ENV DEBIAN_FRONTEND=noninteractive \
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PATH=/opt/rocm/bin:/opt/rocm/llvm/bin:${VENV}/bin:${PATH} \
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PYTORCH_ROCM_ARCH=${ARCH} \
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FLASH_ATTENTION_TRITON_AMD_ENABLE=TRUE \
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MINERU_MODEL_SOURCE=huggingface \
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TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL=1 \
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HSA_ENABLE_SDMA=1 \
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VLLM_TARGET_DEVICE=rocm
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WORKDIR /opt
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# ===========================================================================
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# 阶段 1：换国内源 + 安装 ROCm 7.2.1
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# ===========================================================================
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# Ubuntu 24.04 使用 deb822 格式，默认源文件是 /etc/apt/sources.list.d/ubuntu.sources
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RUN sed -i 's|http://.*archive.ubuntu.com|http://mirrors.tuna.tsinghua.edu.cn|g' /etc/apt/sources.list.d/ubuntu.sources && \
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sed -i 's|http://.*security.ubuntu.com|http://mirrors.tuna.tsinghua.edu.cn|g' /etc/apt/sources.list.d/ubuntu.sources && \
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apt-get update && apt-get install -y --no-install-recommends \
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wget curl ca-certificates gnupg software-properties-common && \
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# 添加 AMD ROCm 仓库（repo.radeon.com 通常国内可直连）
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wget -q https://repo.radeon.com/rocm/rocm.gpg.key -O - | \
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gpg --dearmor | tee /etc/apt/trusted.gpg.d/rocm.gpg > /dev/null && \
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echo 'deb [arch=amd64] https://repo.radeon.com/rocm/apt/7.2.1 noble main' \
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> /etc/apt/sources.list.d/rocm.list && \
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# apt pinning：AMD 仓库优先级高于 Ubuntu 自带（避免拿到旧版 rocminfo）
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printf 'Package: *\nPin: release o=repo.radeon.com\nPin-Priority: 600\n' \
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> /etc/apt/preferences.d/rocm-pin-600 && \
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apt-get update && \
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# 安装 ROCm 基础组件（apt pinning 确保从 AMD 仓库拉）
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apt-get install -y --no-install-recommends \
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rocminfo rocm-device-libs hip-dev miopen-hip && \
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# 清理
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apt-get clean && rm -rf /var/lib/apt/lists/*
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# ===========================================================================
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# 阶段 2：ROCm 头文件补丁（LLVM 22 兼容性修复）
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# 这些是 ROCm 7.2.1 在 24.04 上的已知问题，每次 apt 升级 ROCm 后需重新应用
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# ===========================================================================
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RUN set -ex && \
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# 补丁 1: hipcc/clang 符号链接（hipcc.pl 硬编码 clang-17，实际是 clang-22）
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ln -sf /usr/bin/hipvars.pm /usr/share/perl5/hipvars.pm && \
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# hipcc.pl 在 WSL2 存在，原生 Linux 不存在；不存在时保留 apt 安装的版本
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([ -f /usr/bin/hipcc.pl ] && ln -sf /usr/bin/hipcc.pl /opt/rocm/bin/hipcc) || echo "hipcc.pl not found, keeping apt-installed hipcc" && \
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ln -sf /opt/rocm/llvm/bin/clang-22 /opt/rocm/llvm/bin/clang-17 && \
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ln -sf /opt/rocm/llvm/bin/clang++ /opt/rocm/llvm/bin/clang++-17 && \
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# 补丁 2: __hip_internal::conditional → std::conditional
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find /opt/rocm/include/hip -name "*.h" \
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-exec sed -i 's/__hip_internal::conditional/std::conditional/g' {} + && \
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# 补丁 3: warpSize 常量（__AMDGCN_WAVEFRONT_SIZE 在 LLVM 22 未定义）
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find /opt/rocm/include/hip -name "amd_warp_functions.h" \
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-exec sed -i 's/static constexpr int warpSize = __AMDGCN_WAVEFRONT_SIZE;/constexpr int warpSize = 32;/g' {} + && \
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# 补丁 4: __activemask() → __builtin_amdgcn_read_exec()
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# 注意：只改 amd_warp_sync_functions.h，不要动 amd_warp_functions.h（那是定义本身）
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sed -i 's/__activemask()/__builtin_amdgcn_read_exec()/g' \
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/opt/rocm/include/hip/amd_detail/amd_warp_sync_functions.h && \
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echo "ROCm 7.2.1 header patches applied."
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# ===========================================================================
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# 阶段 3：系统依赖 + Python 3.12
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# ===========================================================================
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RUN apt-get update && apt-get install -y --no-install-recommends \
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build-essential git ninja-build pkg-config \
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python${PYTHON_VER} python${PYTHON_VER}-venv python${PYTHON_VER}-dev \
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libnuma-dev libdrm2 libhwloc-dev libgl1 \
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# vllm 运行时依赖
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libgomp1 libopenblas0 && \
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apt-get clean && rm -rf /var/lib/apt/lists/*
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# ===========================================================================
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# 阶段 4：CMake 4.0（vllm 要求 ≥ 4.0，Ubuntu 24.04 自带 3.28 不够）
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# ===========================================================================
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RUN cd /tmp && \
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# wget 通过代理下载 CMake（国内 GitHub 不通）
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export http_proxy=${GIT_PROXY} https_proxy=${GIT_PROXY} && \
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wget -q https://github.com/Kitware/CMake/releases/download/v4.0.0/cmake-4.0.0-linux-x86_64.tar.gz && \
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tar -xzf cmake-4.0.0-linux-x86_64.tar.gz && \
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cp -r cmake-4.0.0-linux-x86_64/bin/* /usr/local/bin/ && \
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cp -r cmake-4.0.0-linux-x86_64/share/* /usr/local/share/ && \
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rm -rf cmake-4.0.0-linux-x86_64* && \
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cmake --version
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# ===========================================================================
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# 阶段 5：Python 虚拟环境 + PyTorch ROCm
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# ===========================================================================
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RUN python${PYTHON_VER} -m venv ${VENV} && \
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# 配置 pip 国内镜像
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mkdir -p /root/.pip && \
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echo "[global]" > /root/.pip/pip.conf && \
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echo "index-url = ${PIP_INDEX}" >> /root/.pip/pip.conf && \
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${VENV}/bin/pip install --no-cache-dir -U pip setuptools wheel && \
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# 安装 PyTorch ROCm 版（指定 index-url 覆盖全局镜像）
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${VENV}/bin/pip install --no-cache-dir --pre \
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torch==2.11.0+rocm7.2 \
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torchvision \
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pytorch-triton-rocm \
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--index-url ${TORCH_INDEX} && \
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# 验证
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${VENV}/bin/python -c "import torch; print('PyTorch:', torch.__version__); print('ROCm:', torch.version.hip); assert torch.version.hip is not None"
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# ===========================================================================
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# 阶段 6：ROCm 开发包（vllm 编译必需）
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# ===========================================================================
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RUN apt-get update && apt-get install -y --no-install-recommends \
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hipblas-dev hiprand-dev hipsparse-dev hipsparselt-dev \
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hipsolver-dev hipcub-dev rocprim-dev rocthrust-dev \
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rocblas-dev rocrand-dev hipfft-dev hipblaslt && \
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apt-get clean && rm -rf /var/lib/apt/lists/*
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# ===========================================================================
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# 阶段 6.5：安装 amdsmi（原生 Linux 必需，vllm 平台检测依赖）
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# ===========================================================================
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RUN if [ -d /opt/rocm/share/amd_smi ]; then \
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cp -r /opt/rocm/share/amd_smi /opt/amd_smi && \
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cd /opt/amd_smi && ${VENV}/bin/pip install --no-cache-dir . --no-build-isolation && \
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echo "amdsmi installed."; \
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else \
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echo "amdsmi source not found, skipping."; \
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fi
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# ===========================================================================
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# 阶段 7：amd-aiter + flash_attn
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# ===========================================================================
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RUN set -ex && \
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# git 通过代理访问 GitHub
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git config --global http.proxy ${GIT_PROXY} && \
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git config --global https.proxy ${GIT_PROXY} && \
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git config --global http.version HTTP/1.1 && \
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git config --global http.postBuffer 524288000 && \
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# aiter（AMD 优化的 attention 算子）
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cd /opt && git clone --recursive --depth 1 https://github.com/ROCm/aiter.git && \
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${VENV}/bin/pip install --no-cache-dir -e /opt/aiter && \
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# flash_attn（Triton AMD 后端，锁定已验证的 commit）
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cd /opt && git clone --recursive https://github.com/Dao-AILab/flash-attention.git && \
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cd flash-attention && git checkout bba578d43974c1d3ba157ab597124dd0fe2ccdb4 && \
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${VENV}/bin/pip install --no-cache-dir --no-build-isolation -e /opt/flash-attention && \
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# 验证 PyTorch 没被覆盖
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${VENV}/bin/python -c "import torch; v=torch.__version__; assert 'rocm' in v, f'PyTorch overwritten: {v}'; print('PyTorch OK:', v)"
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# ===========================================================================
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# 阶段 8a：编译 vllm（git clone + cmake + ninja，最耗时，单独一层缓存）
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# ===========================================================================
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RUN set -ex && \
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# git 通过代理访问 GitHub（国内不通）
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git config --global http.proxy ${GIT_PROXY} && \
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git config --global https.proxy ${GIT_PROXY} && \
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# 代理下大仓库容易断，改用 HTTP/1.1 + 加大 buffer
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git config --global http.version HTTP/1.1 && \
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git config --global http.postBuffer 524288000 && \
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# setuptools 升级（PEP 639 兼容）
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${VENV}/bin/pip install --no-cache-dir -U \
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"setuptools>=77.0.3" setuptools_scm setuptools_rust wheel && \
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# 克隆 vllm main
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cd /opt && git clone --depth 1 https://github.com/vllm-project/vllm.git && \
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# 补丁 5：注释掉 vllm mamba 模块的 operator+ 定义（可能已被 vllm 移除）
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cd /opt/vllm && \
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if [ -f csrc/mamba/mamba_ssm/selective_scan.h ]; then \
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sed -i '109,121s/^/\/\/ /' csrc/mamba/mamba_ssm/selective_scan.h && \
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echo "vllm mamba operator+ patch applied."; \
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else \
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echo "vllm mamba selective_scan.h not found (upstream removed), skipping patch."; \
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fi && \
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# cmake 别名兜底
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mkdir -p /opt/rocm/lib/cmake/hiprand && \
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printf 'include(/opt/rocm/lib/cmake/rocrand/rocrand-config.cmake)\nif(TARGET roc::rocrand AND NOT TARGET hip::hiprand)\n add_library(hip::hiprand ALIAS roc::rocrand)\nendif()\n' \
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> /opt/rocm/lib/cmake/hiprand/hiprand-config.cmake && \
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mkdir -p /opt/rocm/lib/cmake/hipblas && \
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printf 'include(/opt/rocm/lib/cmake/rocblas/rocblas-config.cmake)\nif(TARGET roc::rocblas AND NOT TARGET hip::hipblas)\n add_library(hip::hipblas ALIAS roc::rocblas)\nendif()\n' \
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> /opt/rocm/lib/cmake/hipblas/hipblas-config.cmake && \
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# cmake 配置
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mkdir -p /opt/vllm_build && \
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cmake -S /opt/vllm -B /opt/vllm_build -G Ninja \
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-DCMAKE_BUILD_TYPE=RelWithDebInfo \
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-DVLLM_TARGET_DEVICE=rocm \
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-DVLLM_PYTHON_EXECUTABLE=${VENV}/bin/python \
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-DHIP_ROOT_DIR=/opt/rocm \
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-DROCM_PATH=/opt/rocm \
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-DCMAKE_HIP_ARCHITECTURES=${ARCH} \
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-DCMAKE_HIP_COMPILER=/opt/rocm/llvm/bin/clang++ \
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-DHIP_COMPILER=/opt/rocm/llvm/bin/clang++ \
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-DHIP_PATH=/opt/rocm \
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-DCMAKE_PREFIX_PATH="/opt/rocm;${VENV}/lib/python${PYTHON_VER}/site-packages/torch/share/cmake" && \
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# ninja 编译（-j8，32GB 内存；若 < 16GB 请改为 -j2）
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cd /opt/vllm_build && ninja -j8 && \
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# 安装 .so 到 vllm 源码目录
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cp /opt/vllm_build/*.abi3.so /opt/vllm/vllm/ && \
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echo "vllm C++ build complete (layer cached)."
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# ===========================================================================
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# 阶段 8b：安装 vllm + 验证 PyTorch（独立层，失败不影响 8a 缓存）
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# ===========================================================================
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RUN set -ex && \
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# 安装 vllm（让 pip 解析运行时依赖：xgrammar, regex, compressed_tensors 等）
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cd /opt/vllm && ${VENV}/bin/pip install --no-cache-dir -e . --no-build-isolation && \
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# --no-build-isolation 可能漏装部分运行时依赖，显式补装
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${VENV}/bin/pip install --no-cache-dir regex && \
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# 应用 vllm 平台检测补丁（独立脚本，避免 Dockerfile 解析问题）
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${VENV}/bin/python /opt/patch_vllm_platform.py && \
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# 验证 PyTorch 没被 vllm 依赖覆盖
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${VENV}/bin/python -c "import torch; v=torch.__version__; assert 'rocm' in v, f'PyTorch overwritten by vllm deps: {v}'; print('PyTorch OK:', v)" && \
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# 先重装 ROCm PyTorch 覆盖可能的 CUDA 版，再清理 CUDA triton 元数据
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${VENV}/bin/pip install --no-cache-dir --force-reinstall \
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torch==2.11.0+rocm7.2 torchvision pytorch-triton-rocm \
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--index-url ${TORCH_INDEX} && \
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${VENV}/bin/pip uninstall -y triton triton-rocm 2>/dev/null; \
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# 确保 vllm 基本可导入（构建时无 GPU，仅验证 import）
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${VENV}/bin/python -c "import vllm; print('vllm import OK:', vllm.__version__)" && \
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# 清理构建目录（减小镜像体积，约 3-5GB）
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rm -rf /opt/vllm_build
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# ===========================================================================
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# 阶段 8.5：复制辅助脚本（必须在 MinerU 安装前就位）
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# ===========================================================================
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COPY scripts/apply_mineru_patches.py /opt/apply_mineru_patches.py
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COPY scripts/cache_warmer.py /opt/cache_warmer.py
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COPY scripts/patch_vllm_platform.py /opt/patch_vllm_platform.py
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# ===========================================================================
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# 阶段 9：安装 MinerU + RDNA 适配补丁
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# ===========================================================================
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RUN set -ex && \
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# pip 国内镜像已在阶段 5 全局配置
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${VENV}/bin/pip install --no-cache-dir 'mineru[core]' && \
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# 验证 PyTorch 没被覆盖
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${VENV}/bin/python -c "import torch; v=torch.__version__; assert 'rocm' in v, f'PyTorch overwritten: {v}'; print('PyTorch OK:', v)" && \
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# 应用 MinerU RDNA 适配补丁
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${VENV}/bin/python /opt/apply_mineru_patches.py
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# ===========================================================================
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# 阶段 10：入口与最终验证
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# ===========================================================================
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RUN echo 'source /opt/mineru_venv/bin/activate' >> /etc/bash.bashrc && \
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echo "MinerU Docker image built successfully." && \
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${VENV}/bin/python -c "import torch, vllm, mineru; print('='*50); print('MinerU ROCm Docker Image Ready'); print(f' PyTorch : {torch.__version__}'); print(f' ROCm : {torch.version.hip}'); print(f' vllm : {vllm.__version__}'); print(f' MinerU : {mineru.__version__}'); print(f' Arch : ${ARCH}'); print('='*50)"
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# 容器入口：默认 bash，用户可 override
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ENTRYPOINT ["/bin/bash", "-c"]
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CMD ["bash"]
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