mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-13 22:18:36 +08:00
Signed-off-by: ZhanruiSunCh <184402041+ZhanruiSunCh@users.noreply.github.com> Signed-off-by: Zhanrui Sun <184402041+ZhanruiSunCh@users.noreply.github.com> Co-authored-by: Yanchao Lu <yanchaol@nvidia.com>
187 lines
6.6 KiB
Docker
187 lines
6.6 KiB
Docker
# Multi-stage Dockerfile
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ARG BASE_IMAGE=nvcr.io/nvidia/pytorch
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ARG TRITON_IMAGE=nvcr.io/nvidia/tritonserver
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ARG BASE_TAG=25.04-py3
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ARG TRITON_BASE_TAG=25.04-py3
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ARG DEVEL_IMAGE=devel
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FROM ${BASE_IMAGE}:${BASE_TAG} AS base
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# Add NVIDIA EULA and AI Terms labels
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LABEL com.nvidia.eula="https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-software-license-agreement/"
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LABEL com.nvidia.ai-terms="https://www.nvidia.com/en-us/agreements/enterprise-software/product-specific-terms-for-ai-products/"
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# https://www.gnu.org/software/bash/manual/html_node/Bash-Startup-Files.html
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# The default values come from `nvcr.io/nvidia/pytorch`
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ENV BASH_ENV=${BASH_ENV:-/etc/bash.bashrc}
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ENV ENV=${ENV:-/etc/shinit_v2}
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ARG GITHUB_MIRROR=""
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ENV GITHUB_MIRROR=$GITHUB_MIRROR
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RUN echo "Using GitHub mirror: $GITHUB_MIRROR"
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SHELL ["/bin/bash", "-c"]
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# Clean up the pip constraint file from the base NGC PyTorch image.
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RUN [ -f /etc/pip/constraint.txt ] && : > /etc/pip/constraint.txt || true
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FROM base AS devel
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ARG PYTHON_VERSION="3.12.3"
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RUN echo "Using Python version: $PYTHON_VERSION"
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COPY docker/common/install_base.sh install_base.sh
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RUN bash ./install_base.sh $PYTHON_VERSION && rm install_base.sh
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COPY docker/common/install_cmake.sh install_cmake.sh
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RUN bash ./install_cmake.sh && rm install_cmake.sh
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COPY docker/common/install_ccache.sh install_ccache.sh
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RUN bash ./install_ccache.sh && rm install_ccache.sh
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# Only take effect when the base image is Rocky Linux 8 with old CUDA version.
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COPY docker/common/install_cuda_toolkit.sh install_cuda_toolkit.sh
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RUN bash ./install_cuda_toolkit.sh && rm install_cuda_toolkit.sh
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# Download & install latest TRT release
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ARG TRT_VER
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ARG CUDA_VER
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ARG CUDNN_VER
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ARG NCCL_VER
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ARG CUBLAS_VER
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COPY docker/common/install_tensorrt.sh install_tensorrt.sh
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RUN bash ./install_tensorrt.sh \
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--TRT_VER=${TRT_VER} \
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--CUDA_VER=${CUDA_VER} \
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--CUDNN_VER=${CUDNN_VER} \
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--NCCL_VER=${NCCL_VER} \
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--CUBLAS_VER=${CUBLAS_VER} && \
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rm install_tensorrt.sh
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# Install latest Polygraphy
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COPY docker/common/install_polygraphy.sh install_polygraphy.sh
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RUN bash ./install_polygraphy.sh && rm install_polygraphy.sh
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# Install mpi4py
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COPY docker/common/install_mpi4py.sh install_mpi4py.sh
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RUN bash ./install_mpi4py.sh && rm install_mpi4py.sh
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# Install PyTorch
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ARG TORCH_INSTALL_TYPE="skip"
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COPY docker/common/install_pytorch.sh install_pytorch.sh
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RUN bash ./install_pytorch.sh $TORCH_INSTALL_TYPE && rm install_pytorch.sh
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# Install OpenCV with FFMPEG support
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RUN pip3 uninstall -y opencv && rm -rf /usr/local/lib/python3*/dist-packages/cv2/
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RUN pip3 install opencv-python-headless --force-reinstall --no-deps --no-cache-dir
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# WARs against security issues inherited from pytorch:25.04
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# * https://github.com/advisories/GHSA-vqfr-h8mv-ghfj
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# * https://github.com/advisories/GHSA-7cx3-6m66-7c5m
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# * https://github.com/advisories/GHSA-5rjg-fvgr-3xxf
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RUN pip3 install --upgrade --no-cache-dir \
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"h11>=0.16" \
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"tornado>=6.5.0" \
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"setuptools>=78.1.1,<80"
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FROM ${TRITON_IMAGE}:${TRITON_BASE_TAG} AS triton
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FROM devel AS tritondevel
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COPY --from=triton /opt/tritonserver/backends/python /opt/tritonserver/backends/python
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COPY --from=triton /opt/tritonserver/lib /opt/tritonserver/lib
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COPY --from=triton /opt/tritonserver/include /opt/tritonserver/include
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COPY --from=triton /opt/tritonserver/bin /opt/tritonserver/bin
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COPY --from=triton /opt/tritonserver/caches /opt/tritonserver/caches
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COPY docker/common/install_triton.sh install_triton.sh
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RUN bash ./install_triton.sh && rm install_triton.sh
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# Install NIXL
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COPY docker/common/install_nixl.sh install_nixl.sh
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RUN bash ./install_nixl.sh && rm install_nixl.sh
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# Install etcd
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COPY docker/common/install_etcd.sh install_etcd.sh
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RUN bash ./install_etcd.sh && rm install_etcd.sh
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FROM ${DEVEL_IMAGE} AS wheel
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WORKDIR /src/tensorrt_llm
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COPY benchmarks benchmarks
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COPY cpp cpp
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COPY benchmarks benchmarks
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COPY scripts scripts
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COPY tensorrt_llm tensorrt_llm
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COPY 3rdparty 3rdparty
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COPY .gitmodules setup.py requirements.txt requirements-dev.txt constraints.txt ./
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# Create cache directories for pip and ccache
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RUN mkdir -p /root/.cache/pip /root/.cache/ccache
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ENV CCACHE_DIR=/root/.cache/ccache
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# Build the TRT-LLM wheel
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ARG BUILD_WHEEL_ARGS="--clean --python_bindings --benchmarks"
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RUN --mount=type=cache,target=/root/.cache/pip --mount=type=cache,target=${CCACHE_DIR} \
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python3 scripts/build_wheel.py ${BUILD_WHEEL_ARGS}
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FROM ${DEVEL_IMAGE} AS release
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# Create a cache directory for pip
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RUN mkdir -p /root/.cache/pip
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WORKDIR /app/tensorrt_llm
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COPY --from=wheel /src/tensorrt_llm/build/tensorrt_llm*.whl .
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RUN --mount=type=cache,target=/root/.cache/pip \
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pip install tensorrt_llm*.whl && \
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rm tensorrt_llm*.whl && \
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pip cache purge
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COPY README.md ./
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COPY docs docs
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COPY cpp/include include
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RUN ln -sv $(python3 -c 'import site; print(f"{site.getsitepackages()[0]}/tensorrt_llm/bin")') bin && \
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test -f bin/executorWorker && \
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ln -sv $(python3 -c 'import site; print(f"{site.getsitepackages()[0]}/tensorrt_llm/libs")') lib && \
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test -f lib/libnvinfer_plugin_tensorrt_llm.so && \
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echo "/app/tensorrt_llm/lib" > /etc/ld.so.conf.d/tensorrt_llm.conf && \
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ldconfig && \
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! ( ldd -v bin/executorWorker | grep tensorrt_llm | grep -q "not found" )
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ARG SRC_DIR=/src/tensorrt_llm
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COPY --from=wheel ${SRC_DIR}/benchmarks benchmarks
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ARG CPP_BUILD_DIR=${SRC_DIR}/cpp/build
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COPY --from=wheel \
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${CPP_BUILD_DIR}/benchmarks/bertBenchmark \
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${CPP_BUILD_DIR}/benchmarks/gptManagerBenchmark \
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${CPP_BUILD_DIR}/benchmarks/disaggServerBenchmark \
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benchmarks/cpp/
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COPY examples examples
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RUN chmod -R a+w examples && \
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rm -v \
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benchmarks/cpp/bertBenchmark.cpp \
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benchmarks/cpp/gptManagerBenchmark.cpp \
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benchmarks/cpp/disaggServerBenchmark.cpp \
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benchmarks/cpp/CMakeLists.txt && \
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rm -rf /root/.cache/pip
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ARG GIT_COMMIT
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ARG TRT_LLM_VER
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ENV TRT_LLM_GIT_COMMIT=${GIT_COMMIT} \
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TRT_LLM_VERSION=${TRT_LLM_VER}
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FROM wheel AS tritonbuild
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WORKDIR /src/tensorrt_llm
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RUN pip install /src/tensorrt_llm/build/tensorrt_llm*.whl
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COPY ./triton_backend/ ./triton_backend/
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RUN bash ./triton_backend/inflight_batcher_llm/scripts/build.sh
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FROM release AS tritonrelease
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WORKDIR /app/tensorrt_llm
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COPY ./triton_backend/all_models ./triton_backend/all_models
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COPY ./triton_backend/scripts ./triton_backend/scripts
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COPY ./triton_backend/tools ./triton_backend/tools
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COPY ./triton_backend/inflight_batcher_llm/scripts ./triton_backend/inflight_batcher_llm/scripts
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COPY ./triton_backend/inflight_batcher_llm/client ./triton_backend/inflight_batcher_llm/client
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COPY --from=tritonbuild /opt/tritonserver/backends/tensorrtllm /opt/tritonserver/backends/tensorrtllm
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