198 lines
11 KiB
Docker
198 lines
11 KiB
Docker
# =============================================================================
|
||
# MinerU on ROCm 7.2.1 Docker Image
|
||
# 原生 Linux + Ubuntu 24.04 + ROCm 7.2.1 + PyTorch 2.11.0 + vllm + MinerU 3.2.0
|
||
#
|
||
# 构建前请根据你的 GPU 修改 ARCH 参数（默认 gfx1201 = RX 9070）
|
||
# =============================================================================
|
||
|
||
FROM ubuntu:24.04
|
||
|
||
# -- 构建参数 ---------------------------------------------------------------
|
||
# 改成你的 gfx 代号：gfx1201(RX 9070) gfx1200(RX 9060) gfx1100(RX 7900) gfx1101(RX 7800/7700) gfx1030(RX 6900/6800)
|
||
ARG ARCH=gfx1201
|
||
ARG PYTHON_VER=3.12
|
||
ARG VENV=/opt/mineru_venv
|
||
ARG TORCH_INDEX=https://download.pytorch.org/whl/rocm7.2
|
||
|
||
# -- 环境变量 ---------------------------------------------------------------
|
||
ENV DEBIAN_FRONTEND=noninteractive \
|
||
PATH=/opt/rocm/bin:/opt/rocm/llvm/bin:${VENV}/bin:${PATH} \
|
||
PYTORCH_ROCM_ARCH=${ARCH} \
|
||
FLASH_ATTENTION_TRITON_AMD_ENABLE=TRUE \
|
||
MINERU_MODEL_SOURCE=huggingface \
|
||
TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL=1 \
|
||
HSA_ENABLE_SDMA=1 \
|
||
VLLM_TARGET_DEVICE=rocm
|
||
|
||
WORKDIR /opt
|
||
|
||
# ===========================================================================
|
||
# 阶段 1：安装 ROCm 7.2.1
|
||
# ===========================================================================
|
||
RUN apt-get update && apt-get install -y --no-install-recommends \
|
||
wget curl ca-certificates gnupg software-properties-common && \
|
||
# 添加 AMD ROCm 仓库
|
||
wget -q https://repo.radeon.com/rocm/rocm.gpg.key -O - | \
|
||
gpg --dearmor | tee /etc/apt/trusted.gpg.d/rocm.gpg > /dev/null && \
|
||
echo 'deb [arch=amd64] https://repo.radeon.com/rocm/apt/7.2.1 noble main' \
|
||
> /etc/apt/sources.list.d/rocm.list && \
|
||
apt-get update && \
|
||
# 安装 ROCm 基础组件
|
||
apt-get install -y --no-install-recommends \
|
||
rocminfo hip-dev miopen-hip && \
|
||
# 修复 rocminfo / rocm-device-libs 版本（替换 Ubuntu 自带旧版）
|
||
apt-get install -y --allow-downgrades \
|
||
rocminfo=1.0.0.70201-38~24.04 \
|
||
rocm-device-libs=1.0.0.70201-38~24.04 && \
|
||
# 清理
|
||
apt-get clean && rm -rf /var/lib/apt/lists/*
|
||
|
||
# ===========================================================================
|
||
# 阶段 2：ROCm 头文件补丁（LLVM 22 兼容性修复）
|
||
# 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
|
||
# ===========================================================================
|
||
RUN set -ex && \
|
||
# 补丁 1: hipcc/clang 符号链接（hipcc.pl 硬编码 clang-17，实际是 clang-22）
|
||
ln -sf /usr/bin/hipvars.pm /usr/share/perl5/hipvars.pm && \
|
||
ln -sf /usr/bin/hipcc.pl /opt/rocm/bin/hipcc && \
|
||
ln -sf /opt/rocm/llvm/bin/clang-22 /opt/rocm/llvm/bin/clang-17 && \
|
||
ln -sf /opt/rocm/llvm/bin/clang++ /opt/rocm/llvm/bin/clang++-17 && \
|
||
# 补丁 2: __hip_internal::conditional → std::conditional
|
||
find /opt/rocm/include/hip -name "*.h" \
|
||
-exec sed -i 's/__hip_internal::conditional/std::conditional/g' {} + && \
|
||
# 补丁 3: warpSize 常量（__AMDGCN_WAVEFRONT_SIZE 在 LLVM 22 未定义）
|
||
find /opt/rocm/include/hip -name "amd_warp_functions.h" \
|
||
-exec sed -i 's/static constexpr int warpSize = __AMDGCN_WAVEFRONT_SIZE;/constexpr int warpSize = 32;/g' {} + && \
|
||
# 补丁 4: __activemask() → __builtin_amdgcn_read_exec()
|
||
# 注意：只改 amd_warp_sync_functions.h，不要动 amd_warp_functions.h（那是定义本身）
|
||
sed -i 's/__activemask()/__builtin_amdgcn_read_exec()/g' \
|
||
/opt/rocm/include/hip/amd_detail/amd_warp_sync_functions.h && \
|
||
echo "ROCm 7.2.1 header patches applied."
|
||
|
||
# ===========================================================================
|
||
# 阶段 3：系统依赖 + Python 3.12
|
||
# ===========================================================================
|
||
RUN apt-get update && apt-get install -y --no-install-recommends \
|
||
build-essential git ninja-build pkg-config \
|
||
python${PYTHON_VER} python${PYTHON_VER}-venv python${PYTHON_VER}-dev \
|
||
libnuma-dev libdrm2 libhwloc-dev libgl1 \
|
||
# vllm 运行时依赖
|
||
libgomp1 libopenblas0 && \
|
||
apt-get clean && rm -rf /var/lib/apt/lists/*
|
||
|
||
# ===========================================================================
|
||
# 阶段 4：CMake 4.0（vllm 要求 ≥ 4.0，Ubuntu 24.04 自带 3.28 不够）
|
||
# ===========================================================================
|
||
RUN cd /tmp && \
|
||
wget -q https://github.com/Kitware/CMake/releases/download/v4.0.0/cmake-4.0.0-linux-x86_64.tar.gz && \
|
||
tar -xzf cmake-4.0.0-linux-x86_64.tar.gz && \
|
||
cp -r cmake-4.0.0-linux-x86_64/bin/* /usr/local/bin/ && \
|
||
cp -r cmake-4.0.0-linux-x86_64/share/* /usr/local/share/ && \
|
||
rm -rf cmake-4.0.0-linux-x86_64* && \
|
||
cmake --version
|
||
|
||
# ===========================================================================
|
||
# 阶段 5：Python 虚拟环境 + PyTorch ROCm
|
||
# ===========================================================================
|
||
RUN python${PYTHON_VER} -m venv ${VENV} && \
|
||
${VENV}/bin/pip install --no-cache-dir -U pip setuptools wheel && \
|
||
# 安装 PyTorch ROCm 版（锁定 2.11，≥ 2.12 在部分环境下有 rocprofiler 问题）
|
||
${VENV}/bin/pip install --no-cache-dir --pre \
|
||
torch==2.11.0+rocm7.2 \
|
||
torchvision \
|
||
pytorch-triton-rocm \
|
||
--index-url ${TORCH_INDEX} && \
|
||
# 验证
|
||
${VENV}/bin/python -c "import torch; print('PyTorch:', torch.__version__); print('ROCm:', torch.version.hip); assert torch.version.hip is not None"
|
||
|
||
# ===========================================================================
|
||
# 阶段 6：ROCm 开发包（vllm 编译必需）
|
||
# ===========================================================================
|
||
RUN apt-get update && apt-get install -y --no-install-recommends \
|
||
hipblas-dev hiprand-dev hipsparse-dev hipsparselt-dev \
|
||
hipsolver-dev hipcub-dev rocprim-dev rocthrust-dev \
|
||
rocblas-dev rocrand-dev hipfft-dev hipblaslt && \
|
||
apt-get clean && rm -rf /var/lib/apt/lists/*
|
||
|
||
# ===========================================================================
|
||
# 阶段 7：amd-aiter + flash_attn
|
||
# ===========================================================================
|
||
RUN set -ex && \
|
||
# aiter（AMD 优化的 attention 算子）
|
||
cd /opt && git clone --recursive --depth 1 https://github.com/ROCm/aiter.git && \
|
||
${VENV}/bin/pip install --no-cache-dir -e /opt/aiter && \
|
||
# flash_attn（Triton AMD 后端，锁定已验证的 commit）
|
||
cd /opt && git clone --recursive https://github.com/Dao-AILab/flash-attention.git && \
|
||
cd flash-attention && git checkout bba578d43974c1d3ba157ab597124dd0fe2ccdb4 && \
|
||
${VENV}/bin/pip install --no-cache-dir --no-build-isolation -e /opt/flash-attention && \
|
||
# 验证 PyTorch 没被覆盖
|
||
${VENV}/bin/python -c "import torch; v=torch.__version__; assert 'rocm' in v, f'PyTorch overwritten: {v}'; print('PyTorch OK:', v)"
|
||
|
||
# ===========================================================================
|
||
# 阶段 8：编译 vllm
|
||
# ===========================================================================
|
||
RUN set -ex && \
|
||
# setuptools 升级（PEP 639 兼容）
|
||
${VENV}/bin/pip install --no-cache-dir -U \
|
||
"setuptools>=77.0.3" setuptools_scm setuptools_rust wheel && \
|
||
# 克隆 vllm main
|
||
cd /opt && git clone --depth 1 https://github.com/vllm-project/vllm.git && \
|
||
# 补丁 5：注释掉 vllm mamba 模块的 operator+ 定义（ROCm 7.2 头文件已自带）
|
||
cd /opt/vllm && \
|
||
sed -i '109,121s/^/\/\/ /' csrc/mamba/mamba_ssm/selective_scan.h && \
|
||
echo "vllm mamba operator+ patch applied." && \
|
||
# cmake 配置
|
||
mkdir -p /opt/vllm_build && \
|
||
cmake -S /opt/vllm -B /opt/vllm_build -G Ninja \
|
||
-DCMAKE_BUILD_TYPE=RelWithDebInfo \
|
||
-DVLLM_TARGET_DEVICE=rocm \
|
||
-DVLLM_PYTHON_EXECUTABLE=${VENV}/bin/python \
|
||
-DHIP_ROOT_DIR=/opt/rocm \
|
||
-DROCM_PATH=/opt/rocm \
|
||
-DCMAKE_HIP_ARCHITECTURES=${ARCH} \
|
||
-DCMAKE_PREFIX_PATH="${VENV}/lib/python${PYTHON_VER}/site-packages/torch/share/cmake" && \
|
||
# ninja 编译（-j8，32GB 内存；若 < 16GB 请改为 -j2）
|
||
cd /opt/vllm_build && ninja -j8 && \
|
||
# 安装 .so 到 vllm 源码目录
|
||
cp /opt/vllm_build/*.abi3.so /opt/vllm/vllm/ && \
|
||
# pip install vllm（让 pip 解析运行时依赖：xgrammar, compressed_tensors 等）
|
||
cd /opt/vllm && ${VENV}/bin/pip install --no-cache-dir -e . --no-build-isolation && \
|
||
# 验证 PyTorch 没被 vllm 依赖覆盖
|
||
${VENV}/bin/python -c "import torch; v=torch.__version__; assert 'rocm' in v, f'PyTorch overwritten by vllm deps: {v}'; print('PyTorch OK:', v)" && \
|
||
# 清理可能的 CUDA triton 残余
|
||
${VENV}/bin/pip uninstall -y triton triton-rocm 2>/dev/null; \
|
||
${VENV}/bin/pip install --no-cache-dir --force-reinstall \
|
||
torch==2.11.0+rocm7.2 torchvision pytorch-triton-rocm \
|
||
--index-url ${TORCH_INDEX} && \
|
||
# 最终验证 vllm 平台检测
|
||
${VENV}/bin/python -c "from vllm.platforms import current_platform; print('Platform:', type(current_platform).__name__); print('is_rocm:', current_platform.is_rocm()); print('device_type:', current_platform.device_type); assert current_platform.is_rocm(), 'vllm ROCm detection failed!'; print('vllm OK')" && \
|
||
# 清理构建目录（减小镜像体积，约 3-5GB）
|
||
rm -rf /opt/vllm_build
|
||
|
||
# ===========================================================================
|
||
# 阶段 8.5：复制辅助脚本（必须在 MinerU 安装前就位）
|
||
# ===========================================================================
|
||
COPY scripts/apply_mineru_patches.py /opt/apply_mineru_patches.py
|
||
COPY scripts/cache_warmer.py /opt/cache_warmer.py
|
||
|
||
# ===========================================================================
|
||
# 阶段 9：安装 MinerU + RDNA 适配补丁
|
||
# ===========================================================================
|
||
RUN set -ex && \
|
||
${VENV}/bin/pip install --no-cache-dir 'mineru[core]' && \
|
||
# 验证 PyTorch 没被覆盖
|
||
${VENV}/bin/python -c "import torch; v=torch.__version__; assert 'rocm' in v, f'PyTorch overwritten: {v}'; print('PyTorch OK:', v)" && \
|
||
# 应用 MinerU RDNA 适配补丁
|
||
${VENV}/bin/python /opt/apply_mineru_patches.py
|
||
|
||
# ===========================================================================
|
||
# 阶段 10：入口与最终验证
|
||
# ===========================================================================
|
||
RUN echo 'source /opt/mineru_venv/bin/activate' >> /etc/bash.bashrc && \
|
||
echo "MinerU Docker image built successfully." && \
|
||
${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)"
|
||
|
||
# 容器入口：默认 bash，用户可 override
|
||
ENTRYPOINT ["/bin/bash", "-c"]
|
||
CMD ["bash"]
|