FROM {base_image} ENV PIP_DISABLE_PIP_VERSION_CHECK=1 \ PIP_DEFAULT_TIMEOUT=300 \ PIP_RETRIES=10 \ SOC_VERSION={soc_version} \ CANN_VERSION={cann_version} # Build-time only (ARG does not persist into the image). ARG PIP_EXTRA_INDEX_URL=https://pypi.org/simple SHELL ["/bin/bash", "-c"] # ---------- System dependencies ---------- RUN set -eux; \ . /etc/os-release; \ case "${ID,,}" in \ ubuntu) \ rm -f /etc/apt/apt.conf.d/docker-clean; \ find /etc/apt/apt.conf.d -maxdepth 1 -type f | xargs -r grep -l "APT::Update::Post-Invoke\|docker-clean" | xargs -r rm -f; \ apt-get update -y; \ DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \ gcc g++ cmake ninja-build libnuma-dev libgl1 libglib2.0-0 libsm6 libxext6 libxrender1 \ wget git curl jq vim build-essential ca-certificates; \ apt-get clean; \ rm -rf /var/lib/apt/lists/* \ ;; \ openeuler) \ yum install -y \ gcc gcc-c++ cmake ninja-build numactl-devel mesa-libGL glib2 libSM libXext libXrender \ wget git curl jq vim make ca-certificates; \ yum clean all; \ rm -rf /var/cache/yum \ ;; \ *) \ echo "Unsupported base image OS: ${ID}" >&2; \ exit 1 \ ;; \ esac RUN pip config set global.index-url https://mirrors.aliyun.com/pypi/simple && \ pip config set install.trusted-host mirrors.aliyun.com {extra_content} # ---------- Install vllm + vllm-ascend ---------- RUN source /usr/local/Ascend/ascend-toolkit/set_env.sh && \ if [ -f /usr/local/Ascend/nnal/atb/set_env.sh ]; then source /usr/local/Ascend/nnal/atb/set_env.sh; fi && \ git clone --depth 1 --branch {vllm_git_ref} https://github.com/vllm-project/vllm && \ git clone --depth 1 --branch {vllm_ascend_git_ref} https://github.com/vllm-project/vllm-ascend.git RUN ARCH=$(uname -m) && \ export PIP_EXTRA_INDEX_URL="${PIP_EXTRA_INDEX_URL}" && \ source /usr/local/Ascend/ascend-toolkit/set_env.sh && \ source /usr/local/Ascend/nnal/atb/set_env.sh && \ # Install torch & torch_npu & torchvision pip install torch=={torch_version} torch_npu=={torch_npu_version} torchvision=={torchvision_version} && \ # Install vllm cd vllm && VLLM_TARGET_DEVICE=empty pip install -v -e . && cd .. && \ # Install vllm-ascend cd vllm-ascend && pip install -v -e . && cd .. # ---------- Clone training-side repositories ---------- RUN git clone --depth 1 --branch {megatron_branch} https://github.com/NVIDIA/Megatron-LM.git /Megatron-LM && \ git clone --depth 1 --branch {mindspeed_branch} https://gitcode.com/Ascend/MindSpeed.git /MindSpeed && \ GIT_LFS_SKIP_SMUDGE=1 git clone --depth 1 -b {swift_branch} --single-branch https://github.com/modelscope/ms-swift.git /ms-swift # ---------- Install training-side repositories ---------- RUN export PIP_EXTRA_INDEX_URL="${PIP_EXTRA_INDEX_URL}" && \ source /usr/local/Ascend/ascend-toolkit/set_env.sh && \ if [ -f /usr/local/Ascend/nnal/atb/set_env.sh ]; then source /usr/local/Ascend/nnal/atb/set_env.sh; fi && \ cd /MindSpeed && pip install --no-cache-dir -e . && \ pip install --no-cache-dir mcore-bridge -i https://pypi.org/simple/ -U && \ cd /ms-swift && pip install --no-cache-dir -e . # ---------- Pin torch to the correct version + torch_npu ---------- # x86: must force-install the CPU build from pytorch.org/whl/cpu # aarch64: PyPI only provides the CPU build, so install it directly from the Aliyun mirror RUN export PIP_EXTRA_INDEX_URL="${PIP_EXTRA_INDEX_URL}" && \ source /usr/local/Ascend/ascend-toolkit/set_env.sh && \ if [ -f /usr/local/Ascend/nnal/atb/set_env.sh ]; then source /usr/local/Ascend/nnal/atb/set_env.sh; fi && \ ARCH=$(uname -m) && \ if [ "$ARCH" = "x86_64" ]; then \ pip install --no-cache-dir --force-reinstall --no-deps \ --index-url https://download.pytorch.org/whl/cpu \ torch=={torch_version} torchvision=={torchvision_version} torchaudio=={torchaudio_version}; \ else \ pip install --no-cache-dir --force-reinstall --no-deps \ torch=={torch_version} torchvision=={torchvision_version} torchaudio=={torchaudio_version}; \ fi && \ pip install --no-cache-dir --force-reinstall --no-deps \ torch_npu=={torch_npu_version} && \ rm -rf /root/.cache/pip # ---------- Remove CUDA-only dependencies pulled in by vllm (they cause missing libtorch_cuda.so errors on NPU) ---------- RUN pip uninstall -y flashinfer tvm-ffi torch-c-dlpack-ext 2>/dev/null || true ARG INSTALL_MS_DEPS={install_ms_deps} ENV MEGATRON_LM_PATH=/Megatron-LM ENV PYTHONPATH=/Megatron-LM:${PYTHONPATH} # install dependencies COPY requirements /var/modelscope RUN export PIP_EXTRA_INDEX_URL="${PIP_EXTRA_INDEX_URL}" && \ pip uninstall ms-swift modelscope -y && pip install --no-cache-dir pip==23.* -U && \ if [ "$INSTALL_MS_DEPS" = "True" ]; then \ pip install --no-cache-dir omegaconf==2.0.6 && \ pip install 'editdistance==0.8.1' && \ pip install --no-cache-dir 'cython>=3.0' versioneer 'numpy>=2.0' && \ pip install --no-cache-dir -r /var/modelscope/framework.txt && \ pip install --no-cache-dir -r /var/modelscope/audio.txt -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html && \ pip install --no-cache-dir -r /var/modelscope/tests.txt && \ pip install --no-cache-dir -r /var/modelscope/server.txt && \ pip install --no-cache-dir https://modelscope.oss-cn-beijing.aliyuncs.com/packages/imageio_ffmpeg-0.4.9-py3-none-any.whl --no-dependencies --force && \ pip install --no-cache-dir 'scipy' && \ pip install --no-cache-dir funtextprocessing typeguard==2.13.3 scikit-learn && \ pip install --no-cache-dir 'decord>=0.6.0' mpi4py paint_ldm ipykernel fasttext && \ pip install --no-cache-dir ipywidgets && \ pip install --no-cache-dir 'blobfile>=1.0.5' && \ pip uninstall MinDAEC -y && \ pip install https://modelscope.oss-cn-beijing.aliyuncs.com/releases/dependencies/MinDAEC-0.0.2-py3-none-any.whl && \ pip cache purge; \ else \ pip install --no-cache-dir -r /var/modelscope/framework.txt && \ pip cache purge; \ fi ARG CUR_TIME={cur_time} RUN echo $CUR_TIME RUN export PIP_EXTRA_INDEX_URL="${PIP_EXTRA_INDEX_URL}" && \ pip install --no-cache-dir --no-build-isolation OpenCC RUN export PIP_EXTRA_INDEX_URL="${PIP_EXTRA_INDEX_URL}" && \ source /usr/local/Ascend/ascend-toolkit/set_env.sh && \ if [ -f /usr/local/Ascend/nnal/atb/set_env.sh ]; then source /usr/local/Ascend/nnal/atb/set_env.sh; fi && \ pip install --no-cache-dir -U funasr scikit-learn && \ pip install --no-cache-dir -U qwen_vl_utils qwen_omni_utils librosa 'timm>=0.9.0' transformers accelerate peft trl safetensors && \ cd /ms-swift && pip install --no-cache-dir -e '.[llm]' && \ pip install --no-cache-dir -e '.[eval]' && pip install evalscope -U --no-dependencies && \ pip install --no-cache-dir "numpy>=2.0" --force-reinstall --no-deps && \ pip install ms-agent -U --no-dependencies && \ cd /tmp && GIT_LFS_SKIP_SMUDGE=1 git clone -b {modelscope_branch} --single-branch https://github.com/modelscope/modelscope.git && \ cd modelscope && pip install . -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html && \ cd / && rm -fr /tmp/modelscope && \ pip install --no-cache-dir diffusers && \ pip install --no-cache-dir omegaconf==2.3.0 && \ pip cache purge # ---------- Install training and evaluation dependencies ---------- RUN source /usr/local/Ascend/ascend-toolkit/set_env.sh && \ if [ -f /usr/local/Ascend/nnal/atb/set_env.sh ]; then source /usr/local/Ascend/nnal/atb/set_env.sh; fi && \ TORCH_DEVICE_BACKEND_AUTOLOAD=0 pip install --no-cache-dir "deepspeed<0.19" ray liger_kernel pre-commit -U && \ pip cache purge # ---------- Install triton-ascend ---------- RUN set -eux; \ export PIP_EXTRA_INDEX_URL="${PIP_EXTRA_INDEX_URL}"; \ pip uninstall -y triton || true; \ pip uninstall -y triton-ascend || true; \ pip install --no-cache-dir --force-reinstall \ triton-ascend=={triton_ascend_version} \ --extra-index-url=https://triton-ascend.osinfra.cn/pypi/simple RUN echo 'source /usr/local/Ascend/ascend-toolkit/set_env.sh' >> /root/.bashrc && \ echo '[ -f /usr/local/Ascend/nnal/atb/set_env.sh ] && source /usr/local/Ascend/nnal/atb/set_env.sh' >> /root/.bashrc && \ echo 'set +H' >> /root/.bashrc ENV SETUPTOOLS_USE_DISTUTILS=stdlib ENV VLLM_USE_MODELSCOPE=True ENV LMDEPLOY_USE_MODELSCOPE=True ENV MODELSCOPE_CACHE=/mnt/workspace/.cache/modelscope/hub # Show install results RUN pip list WORKDIR /workspace CMD ["/bin/bash"]