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 2025-08-18 17:26:25 +00:00 committed by PyTorch MergeBot
parent 4014672b30
commit 87d6831b2e
6 changed files with 41 additions and 72 deletions

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@ -64,6 +64,10 @@ FROM cuda as cuda12.9
RUN bash ./install_cuda.sh 12.9
ENV DESIRED_CUDA=12.9
FROM cuda as cuda13.0
RUN bash ./install_cuda.sh 13.0
ENV DESIRED_CUDA=13.0
FROM ${ROCM_IMAGE} as rocm
ENV PYTORCH_ROCM_ARCH="gfx900;gfx906;gfx908;gfx90a;gfx942;gfx1030;gfx1100;gfx1101;gfx1102;gfx1200;gfx1201"
ADD ./common/install_mkl.sh install_mkl.sh
@ -79,6 +83,7 @@ FROM base as all_cuda
COPY --from=cuda12.6 /usr/local/cuda-12.6 /usr/local/cuda-12.6
COPY --from=cuda12.8 /usr/local/cuda-12.8 /usr/local/cuda-12.8
COPY --from=cuda12.9 /usr/local/cuda-12.9 /usr/local/cuda-12.9
COPY --from=cuda13.0 /usr/local/cuda-13.0 /usr/local/cuda-13.0
# Final step
FROM ${BASE_TARGET} as final

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@ -0,0 +1 @@
v2.27.7-1

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@ -128,74 +128,6 @@ function install_129 {
ldconfig
}
function prune_124 {
echo "Pruning CUDA 12.4"
#####################################################################################
# CUDA 12.4 prune static libs
#####################################################################################
export NVPRUNE="/usr/local/cuda-12.4/bin/nvprune"
export CUDA_LIB_DIR="/usr/local/cuda-12.4/lib64"
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"
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"
if [[ -n "$OVERRIDE_GENCODE" ]]; then
export GENCODE=$OVERRIDE_GENCODE
fi
if [[ -n "$OVERRIDE_GENCODE_CUDNN" ]]; then
export GENCODE_CUDNN=$OVERRIDE_GENCODE_CUDNN
fi
# all CUDA libs except CuDNN and CuBLAS
ls $CUDA_LIB_DIR/ | grep "\.a" | grep -v "culibos" | grep -v "cudart" | grep -v "cudnn" | grep -v "cublas" | grep -v "metis" \
| xargs -I {} bash -c \
"echo {} && $NVPRUNE $GENCODE $CUDA_LIB_DIR/{} -o $CUDA_LIB_DIR/{}"
# prune CuDNN and CuBLAS
$NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublas_static.a -o $CUDA_LIB_DIR/libcublas_static.a
$NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublasLt_static.a -o $CUDA_LIB_DIR/libcublasLt_static.a
#####################################################################################
# CUDA 12.4 prune visual tools
#####################################################################################
export CUDA_BASE="/usr/local/cuda-12.4/"
rm -rf $CUDA_BASE/libnvvp $CUDA_BASE/nsightee_plugins $CUDA_BASE/nsight-compute-2024.1.0 $CUDA_BASE/nsight-systems-2023.4.4/
}
function prune_126 {
echo "Pruning CUDA 12.6"
#####################################################################################
# CUDA 12.6 prune static libs
#####################################################################################
export NVPRUNE="/usr/local/cuda-12.6/bin/nvprune"
export CUDA_LIB_DIR="/usr/local/cuda-12.6/lib64"
export GENCODE="-gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90"
export GENCODE_CUDNN="-gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90"
if [[ -n "$OVERRIDE_GENCODE" ]]; then
export GENCODE=$OVERRIDE_GENCODE
fi
if [[ -n "$OVERRIDE_GENCODE_CUDNN" ]]; then
export GENCODE_CUDNN=$OVERRIDE_GENCODE_CUDNN
fi
# all CUDA libs except CuDNN and CuBLAS
ls $CUDA_LIB_DIR/ | grep "\.a" | grep -v "culibos" | grep -v "cudart" | grep -v "cudnn" | grep -v "cublas" | grep -v "metis" \
| xargs -I {} bash -c \
"echo {} && $NVPRUNE $GENCODE $CUDA_LIB_DIR/{} -o $CUDA_LIB_DIR/{}"
# prune CuDNN and CuBLAS
$NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublas_static.a -o $CUDA_LIB_DIR/libcublas_static.a
$NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublasLt_static.a -o $CUDA_LIB_DIR/libcublasLt_static.a
#####################################################################################
# CUDA 12.6 prune visual tools
#####################################################################################
export CUDA_BASE="/usr/local/cuda-12.6/"
rm -rf $CUDA_BASE/libnvvp $CUDA_BASE/nsightee_plugins $CUDA_BASE/nsight-compute-2024.3.2 $CUDA_BASE/nsight-systems-2024.5.1/
}
function install_128 {
CUDNN_VERSION=9.8.0.87
echo "Installing CUDA 12.8.1 and cuDNN ${CUDNN_VERSION} and NVSHMEM and NCCL and cuSparseLt-0.7.1"
@ -214,18 +146,39 @@ function install_128 {
ldconfig
}
function install_130 {
CUDNN_VERSION=9.12.0.46
NVSHMEM_VERSION=3.3.20
echo "Installing CUDA 13.0 and cuDNN ${CUDNN_VERSION} and NVSHMEM and NCCL and cuSparseLt-0.7.1"
# install CUDA 13.0 in the same container
install_cuda 13.0.0 cuda_13.0.0_580.65.06_linux
# cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
install_cudnn 13 $CUDNN_VERSION
install_nvshmem 13 $NVSHMEM_VERSION
CUDA_VERSION=13.0 bash install_nccl.sh
CUDA_VERSION=13.0 bash install_cusparselt.sh
ldconfig
}
# idiomatic parameter and option handling in sh
while test $# -gt 0
do
case "$1" in
12.4) install_124; prune_124
12.4) install_124;
;;
12.6|12.6.*) install_126; prune_126
12.6|12.6.*) install_126;
;;
12.8|12.8.*) install_128;
;;
12.9|12.9.*) install_129;
;;
13.0|13.0.*) install_130;
;;
*) echo "bad argument $1"; exit 1
;;
esac

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@ -5,7 +5,15 @@ set -ex
# cuSPARSELt license: https://docs.nvidia.com/cuda/cusparselt/license.html
mkdir tmp_cusparselt && cd tmp_cusparselt
if [[ ${CUDA_VERSION:0:4} =~ ^12\.[5-9]$ ]]; then
if [[ ${CUDA_VERSION:0:4} =~ "13" ]]; then
arch_path='sbsa'
export TARGETARCH=${TARGETARCH:-$(uname -m)}
if [ ${TARGETARCH} = 'amd64' ] || [ "${TARGETARCH}" = 'x86_64' ]; then
arch_path='x86_64'
fi
CUSPARSELT_NAME="libcusparse_lt-linux-${arch_path}-0.8.0.4_cuda13-archive"
curl --retry 3 -OLs https://developer.download.nvidia.com/compute/cusparselt/redist/libcusparse_lt/linux-${arch_path}/${CUSPARSELT_NAME}.tar.xz
elif [[ ${CUDA_VERSION:0:4} =~ ^12\.[5-9]$ ]]; then
arch_path='sbsa'
export TARGETARCH=${TARGETARCH:-$(uname -m)}
if [ ${TARGETARCH} = 'amd64' ] || [ "${TARGETARCH}" = 'x86_64' ]; then

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@ -7,6 +7,8 @@ if [[ ${CUDA_VERSION:0:2} == "11" ]]; then
NCCL_VERSION=$(cat ci_commit_pins/nccl-cu11.txt)
elif [[ ${CUDA_VERSION:0:2} == "12" ]]; then
NCCL_VERSION=$(cat ci_commit_pins/nccl-cu12.txt)
elif [[ ${CUDA_VERSION:0:2} == "13" ]]; then
NCCL_VERSION=$(cat ci_commit_pins/nccl-cu13.txt)
else
echo "Unexpected CUDA_VERSION ${CUDA_VERSION}"
exit 1

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@ -36,7 +36,7 @@ jobs:
runs-on: linux.9xlarge.ephemeral
strategy:
matrix:
tag: ["cuda12.6", "cuda12.8", "cuda12.9", "rocm6.3", "rocm6.4", "cpu"]
tag: ["cuda12.6", "cuda12.8", "cuda12.9", "cuda13.0", "rocm6.3", "rocm6.4", "cpu"]
steps:
- name: Build docker image
uses: pytorch/pytorch/.github/actions/binary-docker-build@main