mirror of
https://github.com/zebrajr/pytorch.git
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Add CUDA installation script for CUDA 13 (#160201)
Add the almalinux docker for building magma-cuda 13.0 https://github.com/pytorch/pytorch/issues/159779 Also fixed the NVSHMEM download link Pull Request resolved: https://github.com/pytorch/pytorch/pull/160201 Approved by: https://github.com/atalman Co-authored-by: Andrey Talman <atalman@fb.com>
This commit is contained in:
Ting Lu
PyTorch MergeBot
parent
4014672b30
commit
87d6831b2e
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@ -64,6 +64,10 @@ FROM cuda as cuda12.9
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RUN bash ./install_cuda.sh 12.9
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ENV DESIRED_CUDA=12.9
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FROM cuda as cuda13.0
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RUN bash ./install_cuda.sh 13.0
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ENV DESIRED_CUDA=13.0
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FROM ${ROCM_IMAGE} as rocm
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ENV PYTORCH_ROCM_ARCH="gfx900;gfx906;gfx908;gfx90a;gfx942;gfx1030;gfx1100;gfx1101;gfx1102;gfx1200;gfx1201"
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ADD ./common/install_mkl.sh install_mkl.sh
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@ -79,6 +83,7 @@ FROM base as all_cuda
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COPY --from=cuda12.6 /usr/local/cuda-12.6 /usr/local/cuda-12.6
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COPY --from=cuda12.8 /usr/local/cuda-12.8 /usr/local/cuda-12.8
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COPY --from=cuda12.9 /usr/local/cuda-12.9 /usr/local/cuda-12.9
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COPY --from=cuda13.0 /usr/local/cuda-13.0 /usr/local/cuda-13.0
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# Final step
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FROM ${BASE_TARGET} as final
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1
.ci/docker/ci_commit_pins/nccl-cu13.txt
Normal file
1
.ci/docker/ci_commit_pins/nccl-cu13.txt
Normal file
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@ -0,0 +1 @@
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v2.27.7-1
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@ -128,74 +128,6 @@ function install_129 {
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ldconfig
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}
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function prune_124 {
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echo "Pruning CUDA 12.4"
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#####################################################################################
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# CUDA 12.4 prune static libs
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#####################################################################################
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export NVPRUNE="/usr/local/cuda-12.4/bin/nvprune"
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export CUDA_LIB_DIR="/usr/local/cuda-12.4/lib64"
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export GENCODE="-gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90"
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export GENCODE_CUDNN="-gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90"
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if [[ -n "$OVERRIDE_GENCODE" ]]; then
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export GENCODE=$OVERRIDE_GENCODE
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fi
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if [[ -n "$OVERRIDE_GENCODE_CUDNN" ]]; then
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export GENCODE_CUDNN=$OVERRIDE_GENCODE_CUDNN
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fi
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# all CUDA libs except CuDNN and CuBLAS
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ls $CUDA_LIB_DIR/ | grep "\.a" | grep -v "culibos" | grep -v "cudart" | grep -v "cudnn" | grep -v "cublas" | grep -v "metis" \
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| xargs -I {} bash -c \
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"echo {} && $NVPRUNE $GENCODE $CUDA_LIB_DIR/{} -o $CUDA_LIB_DIR/{}"
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# prune CuDNN and CuBLAS
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$NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublas_static.a -o $CUDA_LIB_DIR/libcublas_static.a
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$NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublasLt_static.a -o $CUDA_LIB_DIR/libcublasLt_static.a
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#####################################################################################
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# CUDA 12.4 prune visual tools
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#####################################################################################
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export CUDA_BASE="/usr/local/cuda-12.4/"
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rm -rf $CUDA_BASE/libnvvp $CUDA_BASE/nsightee_plugins $CUDA_BASE/nsight-compute-2024.1.0 $CUDA_BASE/nsight-systems-2023.4.4/
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}
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function prune_126 {
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echo "Pruning CUDA 12.6"
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#####################################################################################
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# CUDA 12.6 prune static libs
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#####################################################################################
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export NVPRUNE="/usr/local/cuda-12.6/bin/nvprune"
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export CUDA_LIB_DIR="/usr/local/cuda-12.6/lib64"
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export GENCODE="-gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90"
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export GENCODE_CUDNN="-gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90"
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if [[ -n "$OVERRIDE_GENCODE" ]]; then
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export GENCODE=$OVERRIDE_GENCODE
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fi
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if [[ -n "$OVERRIDE_GENCODE_CUDNN" ]]; then
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export GENCODE_CUDNN=$OVERRIDE_GENCODE_CUDNN
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fi
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# all CUDA libs except CuDNN and CuBLAS
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ls $CUDA_LIB_DIR/ | grep "\.a" | grep -v "culibos" | grep -v "cudart" | grep -v "cudnn" | grep -v "cublas" | grep -v "metis" \
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| xargs -I {} bash -c \
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"echo {} && $NVPRUNE $GENCODE $CUDA_LIB_DIR/{} -o $CUDA_LIB_DIR/{}"
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# prune CuDNN and CuBLAS
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$NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublas_static.a -o $CUDA_LIB_DIR/libcublas_static.a
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$NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublasLt_static.a -o $CUDA_LIB_DIR/libcublasLt_static.a
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#####################################################################################
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# CUDA 12.6 prune visual tools
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#####################################################################################
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export CUDA_BASE="/usr/local/cuda-12.6/"
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rm -rf $CUDA_BASE/libnvvp $CUDA_BASE/nsightee_plugins $CUDA_BASE/nsight-compute-2024.3.2 $CUDA_BASE/nsight-systems-2024.5.1/
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}
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function install_128 {
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CUDNN_VERSION=9.8.0.87
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echo "Installing CUDA 12.8.1 and cuDNN ${CUDNN_VERSION} and NVSHMEM and NCCL and cuSparseLt-0.7.1"
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@ -214,18 +146,39 @@ function install_128 {
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ldconfig
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}
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function install_130 {
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CUDNN_VERSION=9.12.0.46
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NVSHMEM_VERSION=3.3.20
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echo "Installing CUDA 13.0 and cuDNN ${CUDNN_VERSION} and NVSHMEM and NCCL and cuSparseLt-0.7.1"
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# install CUDA 13.0 in the same container
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install_cuda 13.0.0 cuda_13.0.0_580.65.06_linux
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# cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
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install_cudnn 13 $CUDNN_VERSION
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install_nvshmem 13 $NVSHMEM_VERSION
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CUDA_VERSION=13.0 bash install_nccl.sh
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CUDA_VERSION=13.0 bash install_cusparselt.sh
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ldconfig
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}
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# idiomatic parameter and option handling in sh
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while test $# -gt 0
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do
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case "$1" in
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12.4) install_124; prune_124
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12.4) install_124;
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;;
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12.6|12.6.*) install_126; prune_126
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12.6|12.6.*) install_126;
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;;
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12.8|12.8.*) install_128;
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;;
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12.9|12.9.*) install_129;
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;;
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13.0|13.0.*) install_130;
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;;
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*) echo "bad argument $1"; exit 1
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;;
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esac
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@ -5,7 +5,15 @@ set -ex
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# cuSPARSELt license: https://docs.nvidia.com/cuda/cusparselt/license.html
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mkdir tmp_cusparselt && cd tmp_cusparselt
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if [[ ${CUDA_VERSION:0:4} =~ ^12\.[5-9]$ ]]; then
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if [[ ${CUDA_VERSION:0:4} =~ "13" ]]; then
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arch_path='sbsa'
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export TARGETARCH=${TARGETARCH:-$(uname -m)}
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if [ ${TARGETARCH} = 'amd64' ] || [ "${TARGETARCH}" = 'x86_64' ]; then
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arch_path='x86_64'
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fi
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CUSPARSELT_NAME="libcusparse_lt-linux-${arch_path}-0.8.0.4_cuda13-archive"
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curl --retry 3 -OLs https://developer.download.nvidia.com/compute/cusparselt/redist/libcusparse_lt/linux-${arch_path}/${CUSPARSELT_NAME}.tar.xz
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elif [[ ${CUDA_VERSION:0:4} =~ ^12\.[5-9]$ ]]; then
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arch_path='sbsa'
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export TARGETARCH=${TARGETARCH:-$(uname -m)}
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if [ ${TARGETARCH} = 'amd64' ] || [ "${TARGETARCH}" = 'x86_64' ]; then
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@ -7,6 +7,8 @@ if [[ ${CUDA_VERSION:0:2} == "11" ]]; then
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NCCL_VERSION=$(cat ci_commit_pins/nccl-cu11.txt)
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elif [[ ${CUDA_VERSION:0:2} == "12" ]]; then
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NCCL_VERSION=$(cat ci_commit_pins/nccl-cu12.txt)
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elif [[ ${CUDA_VERSION:0:2} == "13" ]]; then
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NCCL_VERSION=$(cat ci_commit_pins/nccl-cu13.txt)
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else
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echo "Unexpected CUDA_VERSION ${CUDA_VERSION}"
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exit 1
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2
.github/workflows/build-almalinux-images.yml
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2
.github/workflows/build-almalinux-images.yml
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@ -36,7 +36,7 @@ jobs:
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runs-on: linux.9xlarge.ephemeral
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strategy:
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matrix:
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tag: ["cuda12.6", "cuda12.8", "cuda12.9", "rocm6.3", "rocm6.4", "cpu"]
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tag: ["cuda12.6", "cuda12.8", "cuda12.9", "cuda13.0", "rocm6.3", "rocm6.4", "cpu"]
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steps:
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- name: Build docker image
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uses: pytorch/pytorch/.github/actions/binary-docker-build@main
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