docker/Dockerfile.multi

# Multi-stage Dockerfile
ARG BASE_IMAGE=nvcr.io/nvidia/pytorch
ARG TRITON_IMAGE=nvcr.io/nvidia/tritonserver
ARG BASE_TAG=25.08-py3
ARG TRITON_BASE_TAG=25.08-py3
ARG DEVEL_IMAGE=devel

FROM ${BASE_IMAGE}:${BASE_TAG} AS base

# Add NVIDIA EULA and AI Terms labels
LABEL com.nvidia.eula="https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-software-license-agreement/"
LABEL com.nvidia.ai-terms="https://www.nvidia.com/en-us/agreements/enterprise-software/product-specific-terms-for-ai-products/"

# https://www.gnu.org/software/bash/manual/html_node/Bash-Startup-Files.html
# The default values come from `nvcr.io/nvidia/pytorch`
ENV BASH_ENV=${BASH_ENV:-/etc/bash.bashrc}
ENV ENV=${ENV:-/etc/shinit_v2}

ARG GITHUB_MIRROR=""
RUN echo "Using GitHub mirror: $GITHUB_MIRROR"

ARG PYTHON_VERSION="3.12.3"
RUN echo "Using Python version: $PYTHON_VERSION"

SHELL ["/bin/bash", "-c"]

FROM base AS devel

#
# NB: PyTorch requires this to be < 1.0
ENV PYTORCH_CUDA_ALLOC_CONF="garbage_collection_threshold:0.99999"

# Copy all installation scripts at once to reduce layers
COPY docker/common/install.sh \
     docker/common/install_base.sh \
     docker/common/install_cmake.sh \
     docker/common/install_ccache.sh \
     docker/common/install_cuda_toolkit.sh \
     docker/common/install_tensorrt.sh \
     docker/common/install_polygraphy.sh \
     docker/common/install_mpi4py.sh \
     docker/common/install_pytorch.sh \
     ./

RUN GITHUB_MIRROR=${GITHUB_MIRROR} \
    PYTHON_VERSION=${PYTHON_VERSION} \
    bash ./install.sh --base && rm install_base.sh

RUN GITHUB_MIRROR=${GITHUB_MIRROR} bash ./install.sh --cmake && rm install_cmake.sh

RUN GITHUB_MIRROR=${GITHUB_MIRROR} bash ./install.sh --ccache && rm install_ccache.sh

RUN bash ./install.sh --cuda_toolkit && rm install_cuda_toolkit.sh

ARG TRT_VER
ARG CUDA_VER
ARG CUDNN_VER
ARG NCCL_VER
ARG CUBLAS_VER
RUN TRT_VER=${TRT_VER} \
    CUDA_VER=${CUDA_VER} \
    CUDNN_VER=${CUDNN_VER} \
    NCCL_VER=${NCCL_VER} \
    CUBLAS_VER=${CUBLAS_VER} \
    bash ./install.sh --tensorrt && rm install_tensorrt.sh

RUN GITHUB_MIRROR=${GITHUB_MIRROR} bash ./install.sh --polygraphy && rm install_polygraphy.sh

RUN GITHUB_MIRROR=${GITHUB_MIRROR} bash ./install.sh --mpi4py && rm install_mpi4py.sh

ARG TORCH_INSTALL_TYPE="skip"
RUN TORCH_INSTALL_TYPE=${TORCH_INSTALL_TYPE} bash ./install.sh --pytorch && rm install_pytorch.sh

RUN bash ./install.sh --opencv && bash ./install.sh --protobuf && rm install.sh

# wait for new triton to be published
# Rename pytorch_triton package to triton
RUN if [ -f /etc/redhat-release ]; then \
        echo "Rocky8 detected, skipping symlink and ldconfig steps"; \
    else \
        cd /usr/local/lib/python3.12/dist-packages/ && \
        ls -la | grep pytorch_triton && \
        mv pytorch_triton-3.3.1+gitc8757738.dist-info triton-3.3.1+gitc8757738.dist-info && \
        cd triton-3.3.1+gitc8757738.dist-info && \
        echo "Current directory: $(pwd)" && \
        echo "Files in directory:" && \
        ls -la && \
        sed -i 's/^Name: pytorch-triton/Name: triton/' METADATA && \
        sed -i 's|pytorch_triton-3.3.1+gitc8757738.dist-info/|triton-3.3.1+gitc8757738.dist-info/|g' RECORD && \
        echo "METADATA after update:" && \
        grep "^Name:" METADATA; \
    fi

# Install UCX first
COPY docker/common/install_ucx.sh install_ucx.sh
RUN GITHUB_MIRROR=${GITHUB_MIRROR} bash ./install_ucx.sh && rm install_ucx.sh

# Install NIXL
COPY docker/common/install_nixl.sh install_nixl.sh
RUN GITHUB_MIRROR=${GITHUB_MIRROR} bash ./install_nixl.sh && rm install_nixl.sh

# Install etcd
COPY docker/common/install_etcd.sh install_etcd.sh
RUN bash ./install_etcd.sh && rm install_etcd.sh

FROM ${TRITON_IMAGE}:${TRITON_BASE_TAG} AS triton

FROM devel AS tritondevel

COPY --from=triton /opt/tritonserver/backends/python /opt/tritonserver/backends/python
COPY --from=triton /opt/tritonserver/lib /opt/tritonserver/lib
COPY --from=triton /opt/tritonserver/include /opt/tritonserver/include
COPY --from=triton /opt/tritonserver/bin /opt/tritonserver/bin
COPY --from=triton /opt/tritonserver/caches /opt/tritonserver/caches

# Copy all installation scripts at once to reduce layers
COPY docker/common/install_triton.sh \
     docker/common/install_ucx.sh \
     docker/common/install_nixl.sh \
     docker/common/install_etcd.sh \
     ./

RUN bash ./install_triton.sh && rm install_triton.sh

FROM ${DEVEL_IMAGE} AS wheel
WORKDIR /src/tensorrt_llm
COPY benchmarks benchmarks
COPY cpp cpp
COPY docker docker
COPY scripts scripts
COPY tensorrt_llm tensorrt_llm
COPY 3rdparty 3rdparty
COPY .gitmodules setup.py requirements.txt requirements-dev.txt constraints.txt ./

# Create cache directories for pip and ccache
RUN mkdir -p /root/.cache/pip /root/.cache/ccache
ENV CCACHE_DIR=/root/.cache/ccache
# Build the TRT-LLM wheel
ARG GITHUB_MIRROR=""
ARG BUILD_WHEEL_ARGS="--clean --benchmarks"
ARG BUILD_WHEEL_SCRIPT="scripts/build_wheel.py"
RUN --mount=type=cache,target=/root/.cache/pip --mount=type=cache,target=${CCACHE_DIR} \
    GITHUB_MIRROR=$GITHUB_MIRROR python3 ${BUILD_WHEEL_SCRIPT} ${BUILD_WHEEL_ARGS}

FROM ${DEVEL_IMAGE} AS release

# Create a cache directory for pip
RUN mkdir -p /root/.cache/pip

WORKDIR /app/tensorrt_llm
RUN --mount=type=cache,target=/root/.cache/pip --mount=type=bind,from=wheel,source=/src/tensorrt_llm/build,target=/tmp/wheel \
    pip install /tmp/wheel/tensorrt_llm*.whl

COPY README.md ./
COPY docs docs
COPY cpp/include include

RUN ln -sv $(python3 -c 'import site; print(f"{site.getsitepackages()[0]}/tensorrt_llm/bin")') bin && \
    test -f bin/executorWorker && \
    ln -sv $(python3 -c 'import site; print(f"{site.getsitepackages()[0]}/tensorrt_llm/libs")') lib && \
    test -f lib/libnvinfer_plugin_tensorrt_llm.so && \
    echo "/app/tensorrt_llm/lib" > /etc/ld.so.conf.d/tensorrt_llm.conf && \
    ldconfig && \
    ! ( ldd -v bin/executorWorker | grep tensorrt_llm | grep -q "not found" )

ARG SRC_DIR=/src/tensorrt_llm
COPY --from=wheel ${SRC_DIR}/benchmarks benchmarks
ARG CPP_BUILD_DIR=${SRC_DIR}/cpp/build
COPY --from=wheel \
     ${CPP_BUILD_DIR}/benchmarks/bertBenchmark \
     ${CPP_BUILD_DIR}/benchmarks/gptManagerBenchmark \
     ${CPP_BUILD_DIR}/benchmarks/disaggServerBenchmark \
     benchmarks/cpp/

COPY examples examples
RUN chmod -R a+w examples && \
    rm -v \
      benchmarks/cpp/bertBenchmark.cpp \
      benchmarks/cpp/gptManagerBenchmark.cpp \
      benchmarks/cpp/disaggServerBenchmark.cpp \
      benchmarks/cpp/CMakeLists.txt && \
    rm -rf /root/.cache/pip

ARG GIT_COMMIT
ARG TRT_LLM_VER
ENV TRT_LLM_GIT_COMMIT=${GIT_COMMIT} \
    TRT_LLM_VERSION=${TRT_LLM_VER}

FROM wheel AS tritonbuild

WORKDIR /src/tensorrt_llm
RUN pip install /src/tensorrt_llm/build/tensorrt_llm*.whl
COPY ./triton_backend/ ./triton_backend/
ARG TRITON_BASE_TAG
RUN bash ./triton_backend/inflight_batcher_llm/scripts/build.sh -s "r${TRITON_BASE_TAG%-py3}"


FROM release AS tritonrelease

WORKDIR /app/tensorrt_llm
COPY ./triton_backend/all_models ./triton_backend/all_models
COPY ./triton_backend/scripts ./triton_backend/scripts
COPY ./triton_backend/tools ./triton_backend/tools
COPY ./triton_backend/inflight_batcher_llm/scripts ./triton_backend/inflight_batcher_llm/scripts
COPY ./triton_backend/inflight_batcher_llm/client ./triton_backend/inflight_batcher_llm/client
COPY --from=tritonbuild /opt/tritonserver/backends/tensorrtllm /opt/tritonserver/backends/tensorrtllm