mirror of
https://github.com/modelscope/modelscope.git
synced 2026-05-18 05:05:00 +02:00
feat(docker/Metax): add metax dockerfile and its requirements for ms-swift 4.1.x (#1689)
This commit is contained in:
164
docker/Metax/4.1/Dockerfile.metax
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164
docker/Metax/4.1/Dockerfile.metax
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ARG BUILD_BASE_IMAGE=registry.access.redhat.com/ubi9/ubi:9.6
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ARG PYTHON_VERSION=3.12
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ARG UV_EXTRA_INDEX_URL=https://repos.metax-tech.com/r/maca-pypi/simple
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ARG UV_TRUSTED_HOST=repos.metax-tech.com
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# may need passing a particular vllm version during build
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ARG VLLM_VERSION
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ARG MACA_VERSION
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ARG CU_BRIDGE_VERSION=${MACA_VERSION}
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#################### BASE BUILD IMAGE ####################
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FROM ${BUILD_BASE_IMAGE} AS base
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ARG UV_TRUSTED_HOST
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# maca environment variables
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ENV MACA_PATH=/opt/maca
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ENV MACA_CLANG_PATH=/opt/maca/mxgpu_llvm/bin
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ENV CUCC_PATH="${MACA_PATH}/tools/cu-bridge"
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ENV CUDA_PATH=/root/cu-bridge/CUDA_DIR
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ENV CUCC_CMAKE_ENTRY=2
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ENV PATH="/opt/venv/bin:/root/.local/bin:$PATH"
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ENV PATH=/opt/mxdriver/bin:${MACA_PATH}/bin:${MACA_PATH}/mxgpu_llvm/bin:${MACA_PATH}/tools/cu-bridge/tools:${MACA_PATH}/tools/cu-bridge/bin:${PATH}
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ENV LD_LIBRARY_PATH=/opt/mxdriver/lib:${MACA_PATH}/lib:${MACA_PATH}/mxgpu_llvm/lib:${MACA_PATH}/ompi/lib:${MACA_PATH}/ucx/lib:${LD_LIBRARY_PATH}
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# uv environment variables
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ENV VIRTUAL_ENV=/opt/venv
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ENV UV_INDEX_STRATEGY="unsafe-best-match"
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ENV UV_HTTP_TIMEOUT=6000
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ENV UV_LINK_MODE=copy
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ARG UV_EXTRA_INDEX_URL
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ENV UV_EXTRA_INDEX_URL=${UV_EXTRA_INDEX_URL}
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ARG UV_INDEX_URL
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ENV UV_INDEX_URL=https://mirrors.aliyun.com/pypi/simple
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ENV UV_TRUSTED_INDEX_HOST=mirrors.aliyun.com
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ENV UV_OVERRIDE=/workspace/override.txt
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# vllm compile option
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ENV VLLM_INSTALL_PUNICA_KERNELS=1
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# AI version arguments
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ARG PYTHON_VERSION
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ARG VLLM_VERSION
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ARG VLLM_METAX_VERSION
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ARG MACA_VERSION
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ARG MEGATRON_VERSION
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ARG SWIFT_VERSION
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ARG CU_BRIDGE_VERSION
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ARG TE_VERSION
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WORKDIR /workspace
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COPY override.txt /workspace/override.txt
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COPY requirements_extra.txt /workspace/requirements_extra.txt
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RUN printf "[metax-centos]\n\
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name=Maca Driver Yum Repository\n\
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baseurl=https://repos.metax-tech.com/r/metax-driver-centos-$(uname -m)/\n\
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enabled=1\n\
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gpgcheck=0" > /etc/yum.repos.d/metax-driver-centos.repo
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RUN dnf -y install python3-pip hostname && \
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dnf clean all
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RUN python3 -m pip install uv -i $UV_INDEX_URL --trusted-host ${UV_TRUSTED_INDEX_HOST} && \
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uv venv /opt/venv --python=${PYTHON_VERSION}
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RUN python3 --version && \
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uv self version
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RUN yum makecache && yum install -y \
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unzip vim git openblas-devel make cmake \
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ninja-build gcc g++ procps-ng \
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libibverbs librdmacm libibumad \
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&& yum clean all
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RUN git clone --depth 1 --branch ${SWIFT_VERSION} https://github.com/modelscope/ms-swift.git
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RUN git clone --depth 1 --branch ${VLLM_METAX_VERSION} https://github.com/MetaX-MACA/vLLM-metax.git
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RUN git clone --depth 1 --branch ${VLLM_VERSION} https://github.com/vllm-project/vllm.git
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RUN git clone --depth 1 --branch ${MEGATRON_VERSION} https://github.com/NVIDIA/Megatron-LM.git
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# Step 1: install MACA SDK, Metax-Driver and cu-bridge
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# Metax-Driver mainly contains vbios and kmd files, which are not needed in a container.
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# Here we keep the mx-smi management tool. Kernel version mismatch errors are ignored.
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RUN yum makecache && \
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yum install -y metax-driver-${MACA_VERSION}* mxgvm && \
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yum clean all && rm -rf /var/cache/yum /tmp/*
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RUN printf "[maca-sdk]\n\
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name=Maca Sdk Yum Repository\n\
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baseurl=https://repos.metax-tech.com/r/maca-sdk-rpm-$(uname -m)/\n\
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enabled=1\n\
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gpgcheck=0" > /etc/yum.repos.d/maca-sdk-rpm.repo
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RUN yum makecache && \
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yum install -y maca_sdk-${MACA_VERSION}* && \
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yum clean all && rm -rf /var/cache/yum /tmp/*
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RUN cd /tmp/ && \
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export MACA_PATH=/opt/maca && \
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curl -o ${CU_BRIDGE_VERSION}.zip -LsSf https://gitee.com/metax-maca/cu-bridge/repository/archive/${CU_BRIDGE_VERSION}.zip && \
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unzip ${CU_BRIDGE_VERSION}.zip && \
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mv cu-bridge-${CU_BRIDGE_VERSION} cu-bridge && \
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chmod 755 cu-bridge -Rf && \
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cd cu-bridge && \
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mkdir build && cd build && \
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cmake -DCMAKE_INSTALL_PREFIX=/opt/maca/tools/cu-bridge ../ && \
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make && make install
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# Step 2: trim unused MACA packages and install build prerequisites
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RUN cd vLLM-metax && \
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uv pip install -r requirements/build.txt && \
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uv pip install build
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RUN yum makecache && yum install -y \
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gcc \
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binutils \
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procps-ng \
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libibverbs \
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librdmacm \
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libibumad \
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openblas \
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numactl-libs \
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&& yum clean all && rm -rf /var/cache/yum /tmp/*
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# Step 3: install Metax python requirements
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RUN cd vLLM-metax && \
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UV_HTTP_TIMEOUT=960 uv pip install -r requirements/maca.txt --trusted-host ${UV_TRUSTED_HOST}
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# Step 4: build vLLM with empty device to avoid CUDA dependency
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RUN cd vllm && \
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python3 use_existing_torch.py && \
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uv pip install -r requirements/build.txt
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RUN cd vllm && \
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VLLM_TARGET_DEVICE=empty uv pip install -v . --no-build-isolation
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# Step 5: build vLLM-metax
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RUN cd vLLM-metax && \
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uv pip install -r requirements/build.txt && \
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python3 -m build -w -n && \
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uv pip install dist/*.whl
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# Step 6: install Megatron-LM
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RUN sed -i 's/nvcc/cucc/g' /workspace/Megatron-LM/megatron/legacy/fused_kernels/__init__.py && \
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cd Megatron-LM && \
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uv pip install .
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# Step 7: install transformer-engine
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RUN uv pip install transformer_engine==${TE_VERSION} -i https://repos.metax-tech.com/r/maca-pypi/simple --trusted-host ${UV_TRUSTED_HOST}
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# Step 8: patch and install ms-swift v4.1.0 with Megatron extra dependencies
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RUN sed -i '0,/^\(from \|import \)/{s//import vllm_metax.patch\n&/}' ms-swift/swift/__init__.py && \
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cd ms-swift && \
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uv pip install '.[megatron]'
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# Step 9: install optional runtime dependencies used by swift 4.1.0
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RUN uv pip install deepspeed -i https://repos.metax-tech.com/r/maca-pypi/simple --trusted-host ${UV_TRUSTED_HOST}
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RUN uv pip install pip
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RUN uv pip install -r requirements_extra.txt
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RUN ln -sf ${CUDA_PATH}/bin/nvcc ${CUDA_PATH}/bin/cucc
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# vllm installation may bring in incompatible CUDA-only wheels. Remove them here.
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RUN uv pip uninstall flashinfer-python cupy-cuda12x flash-linear-attention fla-core
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#################### FINAL IMAGE ####################
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73
docker/Metax/4.1/Dockerfile.with_metax_image
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73
docker/Metax/4.1/Dockerfile.with_metax_image
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ARG BUILD_BASE_IMAGE=mx-devops-acr-cn-shanghai.cr.volces.com/opensource/public-ai-release/maca/ms-swift:4.0.4-maca.ai3.5.3.5-torch2.8-py312-ubuntu22.04-amd64
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ARG PYTHON_VERSION=3.12
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FROM ${BUILD_BASE_IMAGE} AS base
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# NOTE:
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# This fast-build path inherits Python/Torch/TE from a prebuilt Metax release image.
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# We keep the verified base image tag here instead of guessing a newer one.
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# As a result, this path may lag behind the Megatron-SWIFT Quick Start recommendations.
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# may need passing a particular vllm version during build
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ARG VLLM_VERSION
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ARG VLLM_METAX_VERSION
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ARG MEGATRON_VERSION
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ARG SWIFT_VERSION
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ENV MACA_PATH=/opt/maca
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ENV CUCC_CMAKE_ENTRY=2
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ENV CUDA_PATH=/root/cu-bridge/CUDA_DIR
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ENV CUCC_PATH=${MACA_PATH}/tools/cu-bridge
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ENV PATH=/opt/conda/bin:/opt/conda/condabin:${CUDA_PATH}/bin:${CUCC_PATH}/tools:${CUCC_PATH}/bin:${MACA_PATH}/bin:${PATH}
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ENV LD_LIBRARY_PATH=${CUDA_PATH}/lib64:${MACA_PATH}/lib:${MACA_PATH}/mxgpu_llvm/lib:${LD_LIBRARY_PATH}
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WORKDIR /workspace
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COPY requirements_extra.txt /workspace/requirements_extra.txt
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RUN echo $PATH
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RUN apt-get update && apt-get install -y git && rm -rf /var/lib/apt/lists/*
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# Initialize cu-bridge if it is not already prepared in the base image.
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RUN if [ ! -d /root/cu-bridge ]; then \
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${MACA_PATH}/tools/cu-bridge/tools/pre_make; \
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fi
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# Clone all GitHub sources while the external proxy is enabled.
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RUN rm -rf /workspace/ms-swift /workspace/vLLM-metax /workspace/vllm /workspace/Megatron-LM
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RUN git clone --depth 1 --branch ${SWIFT_VERSION} https://github.com/modelscope/ms-swift.git
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RUN git clone --depth 1 --branch ${VLLM_METAX_VERSION} https://github.com/MetaX-MACA/vLLM-metax.git
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RUN git clone --depth 1 --branch ${VLLM_VERSION} https://github.com/vllm-project/vllm.git
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RUN git clone --depth 1 --branch ${MEGATRON_VERSION} https://github.com/NVIDIA/Megatron-LM.git
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# install cmake
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RUN pip install cmake ninja
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# Step 1: build original vLLM for torch setup
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RUN cd vllm && \
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python3 use_existing_torch.py && \
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pip install -r requirements/build.txt
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# Step 2: build vLLM with empty device to avoid CUDA dependency
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RUN cd vllm && \
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VLLM_TARGET_DEVICE=empty pip install -v . --no-build-isolation
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# Step 3: build vLLM-metax
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RUN cd vLLM-metax && \
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python3 use_existing_metax.py && \
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pip install -r requirements/build.txt && \
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python3 -m build -w -n && \
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pip install dist/*.whl
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# Step 4: patch and install Megatron-LM
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RUN sed -i 's/nvcc/cucc/g' /workspace/Megatron-LM/megatron/legacy/fused_kernels/__init__.py && \
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cd /workspace/Megatron-LM && \
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pip install .
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# Step 5: patch and install ms-swift v4.1.0 with its Megatron extra
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RUN sed -i '0,/^\(from \|import \)/{s//import vllm_metax.patch\n&/}' ms-swift/swift/__init__.py && \
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cd ms-swift && \
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pip install "transformers<5.4.0" && \
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pip install '.[megatron]' && \
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pip install -r /workspace/requirements_extra.txt
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CMD ["bash"]
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13
docker/Metax/4.1/build.sh
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docker/Metax/4.1/build.sh
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docker build \
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--network host \
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-f Dockerfile.metax \
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-t swift:v4.1.0 \
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--build-arg VLLM_VERSION=v0.17.1 \
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--build-arg VLLM_METAX_VERSION=v0.17.0 \
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--build-arg MACA_VERSION=3.5.3 \
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--build-arg MEGATRON_VERSION=core_v0.16.0 \
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--build-arg SWIFT_VERSION=v4.1.0 \
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--build-arg TE_VERSION=2.8.0 \
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--build-arg CU_BRIDGE_VERSION=3.5.3 \
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--no-cache \
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.
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10
docker/Metax/4.1/build_from_metax_image.sh
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docker/Metax/4.1/build_from_metax_image.sh
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docker build \
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--network host \
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-f Dockerfile.with_metax_image \
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-t swift:v4.1.0 \
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--build-arg VLLM_VERSION=v0.17.1 \
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--build-arg VLLM_METAX_VERSION=v0.17.0 \
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--build-arg MEGATRON_VERSION=core_v0.16.0 \
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--build-arg SWIFT_VERSION=v4.1.0 \
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--no-cache \
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.
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5
docker/Metax/4.1/override.txt
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5
docker/Metax/4.1/override.txt
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setuptools>=77.0.3,<80
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datasets>=3.0,<4.0
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flash-linear-attention
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mcoplib
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transformers<5.4.0
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14
docker/Metax/4.1/requirements_extra.txt
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14
docker/Metax/4.1/requirements_extra.txt
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decord
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diffusers==0.35.2
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evalscope>=1.0.0
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evalscope[opencompass]
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evalscope[vlmeval]
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keye_vl_utils>=1.5.2
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librosa
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mpi4py
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optimum==1.27.0
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pytorchvideo
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qwen_omni_utils>=0.0.9
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qwen_vl_utils==0.0.14
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soundfile
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timm
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52
docker/Metax/4.1/swift_building_instructions.md
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52
docker/Metax/4.1/swift_building_instructions.md
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# 1. Build swift 4.1 image from a UBI9 base image
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Full build from a minimal base image, using a venv virtual environment.
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## 1.1. Build
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``` bash
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bash build.sh
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```
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## 1.2. Run a container
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``` bash
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docker run -d -it --net=host --uts=host --ipc=host --privileged=true --group-add video \
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--shm-size 100gb --ulimit memlock=-1 \
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--security-opt seccomp=unconfined --security-opt apparmor=unconfined \
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--device=/dev/dri --device=/dev/mxcd \
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--name base_image \
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${IMAGE_ID} bash
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```
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## 1.3. Activate the venv environment
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``` bash
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source /opt/venv/bin/activate
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```
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## 1.4. Run swift examples
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``` bash
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cd /workspace/ms-swift
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bash examples/train/full/train.sh
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```
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# 2. Build swift 4.1 image from a Metax release image
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Faster build based on the pre-built Metax release image.
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## 2.1. Build
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``` bash
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bash build_from_metax_image.sh
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```
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## 2.2. Run a container
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``` bash
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docker run -d -it --net=host --uts=host --ipc=host --privileged=true --group-add video \
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--shm-size 100gb --ulimit memlock=-1 \
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--security-opt seccomp=unconfined --security-opt apparmor=unconfined \
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--device=/dev/dri --device=/dev/mxcd \
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--name base_image \
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${IMAGE_ID} bash
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```
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## 2.3. Run swift examples
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``` bash
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cd /workspace/ms-swift
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bash examples/train/full/train.sh
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```
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