[chore] Arrange NV packages in Dockerfile (#13749)
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@@ -18,6 +18,7 @@ ARG UBUNTU_MIRROR
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ARG GITHUB_ARTIFACTORY=github.com
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ARG INSTALL_FLASHINFER_JIT_CACHE=0
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ARG FLASHINFER_VERSION=0.5.3
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ARG NVSHMEM_VERSION=3.4.5
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ENV DEBIAN_FRONTEND=noninteractive \
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CUDA_HOME=/usr/local/cuda \
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@@ -131,21 +132,16 @@ RUN --mount=type=cache,target=/root/.cache/pip python3 -m pip install --upgrade
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&& if [ "$INSTALL_FLASHINFER_JIT_CACHE" = "1" ]; then \
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python3 -m pip install flashinfer-jit-cache==${FLASHINFER_VERSION} --index-url https://flashinfer.ai/whl/cu${CUINDEX} ; \
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fi \
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&& if [ "${CUDA_VERSION%%.*}" = "12" ]; then \
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python3 -m pip install nvidia-nccl-cu12==2.28.3 --force-reinstall --no-deps ; \
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python3 -m pip install nvidia-cudnn-cu12==9.16.0.29 --force-reinstall --no-deps; \
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elif [ "${CUDA_VERSION%%.*}" = "13" ]; then \
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python3 -m pip install nvidia-nccl-cu13==2.28.3 --force-reinstall --no-deps ; \
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else \
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echo "No NCCL mapping for CUDA_VERSION=${CUDA_VERSION}" && exit 1 ; \
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fi \
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&& FLASHINFER_CUBIN_DOWNLOAD_THREADS=${BUILD_AND_DOWNLOAD_PARALLEL} FLASHINFER_LOGGING_LEVEL=warning python3 -m flashinfer --download-cubin
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# Download NVSHMEM source files
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# We use Tom's DeepEP fork for GB200 for now; the 1fd57b0276311d035d16176bb0076426166e52f3 commit is https://github.com/fzyzcjy/DeepEP/tree/gb200_blog_part_2
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RUN set -eux; \
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if [ "${CUDA_VERSION%%.*}" != "13" ]; then \
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pip install nvidia-nvshmem-cu12==3.4.5 ; \
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if [ "${CUDA_VERSION%%.*}" = "12" ]; then \
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pip install nvidia-nvshmem-cu12==${NVSHMEM_VERSION} ; \
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elif [ "${CUDA_VERSION%%.*}" = "13" ]; then \
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pip install nvidia-nvshmem-cu13==${NVSHMEM_VERSION} ; \
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else \
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echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1 ; \
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fi && \
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if [ "$GRACE_BLACKWELL" = "1" ]; then \
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git clone https://github.com/fzyzcjy/DeepEP.git && \
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@@ -198,6 +194,19 @@ RUN --mount=type=cache,target=/root/.cache/pip python3 -m pip install \
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nixl \
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py-spy
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# Some patching packages
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# TODO: Remove this when torch version covers these packages
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RUN --mount=type=cache,target=/root/.cache/pip if [ "${CUDA_VERSION%%.*}" = "12" ]; then \
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python3 -m pip install nvidia-nccl-cu12==2.28.3 --force-reinstall --no-deps ; \
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python3 -m pip install nvidia-cudnn-cu12==9.16.0.29 --force-reinstall --no-deps; \
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python3 -m pip install nvidia-nvshmem-cu12==${NVSHMEM_VERSION} --force-reinstall --no-deps; \
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elif [ "${CUDA_VERSION%%.*}" = "13" ]; then \
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python3 -m pip install nvidia-nccl-cu13==2.28.3 --force-reinstall --no-deps ; \
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python3 -m pip install nvidia-cublas==13.1.0.3 --force-reinstall --no-deps ; \
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python3 -m pip install nixl-cu13 ; \
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python3 -m pip install nvidia-nvshmem-cu13==${NVSHMEM_VERSION} --force-reinstall --no-deps; \
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fi
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# Install development tools and utilities
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RUN --mount=type=cache,target=/var/cache/apt apt-get update && apt-get install -y \
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gdb \
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