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ci: refactor cuda install script and upgrade to latest version
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‎.ci/docker/common/install_cuda.sh‎

Lines changed: 88 additions & 210 deletions
Original file line numberDiff line numberDiff line change
@@ -4,210 +4,126 @@
44

55
set -ex
66

7-
NCCL_VERSION=v2.25.1-1
8-
CUDNN_VERSION=9.5.1.17
9-
10-
# Include Hopper support if using CUDA11.8 or above
11-
NVCC_GENCODE="-gencode=arch=compute_80,code=sm_80 -gencode=arch=compute_90,code=sm_90 -gencode=arch=compute_90,code=compute_90"
12-
13-
function install_cusparselt_040 {
14-
# cuSparseLt license: https://docs.nvidia.com/cuda/cusparselt/license.html
15-
mkdir tmp_cusparselt && pushd tmp_cusparselt
16-
wget -q https://developer.download.nvidia.com/compute/cusparselt/redist/libcusparse_lt/linux-x86_64/libcusparse_lt-linux-x86_64-0.4.0.7-archive.tar.xz
17-
tar xf libcusparse_lt-linux-x86_64-0.4.0.7-archive.tar.xz
18-
cp -a libcusparse_lt-linux-x86_64-0.4.0.7-archive/include/* /usr/local/cuda/include/
19-
cp -a libcusparse_lt-linux-x86_64-0.4.0.7-archive/lib/* /usr/local/cuda/lib64/
20-
popd
21-
rm -rf tmp_cusparselt
22-
}
23-
24-
function install_cusparselt_062 {
25-
# cuSparseLt license: https://docs.nvidia.com/cuda/cusparselt/license.html
26-
mkdir tmp_cusparselt && pushd tmp_cusparselt
27-
wget -q https://developer.download.nvidia.com/compute/cusparselt/redist/libcusparse_lt/linux-x86_64/libcusparse_lt-linux-x86_64-0.6.2.3-archive.tar.xz
28-
tar xf libcusparse_lt-linux-x86_64-0.6.2.3-archive.tar.xz
29-
cp -a libcusparse_lt-linux-x86_64-0.6.2.3-archive/include/* /usr/local/cuda/include/
30-
cp -a libcusparse_lt-linux-x86_64-0.6.2.3-archive/lib/* /usr/local/cuda/lib64/
31-
popd
32-
rm -rf tmp_cusparselt
33-
}
34-
35-
function install_cusparselt_063 {
36-
# cuSparseLt license: https://docs.nvidia.com/cuda/cusparselt/license.html
37-
mkdir tmp_cusparselt && pushd tmp_cusparselt
38-
wget -q https://developer.download.nvidia.com/compute/cusparselt/redist/libcusparse_lt/linux-x86_64/libcusparse_lt-linux-x86_64-0.6.3.2-archive.tar.xz
39-
tar xf libcusparse_lt-linux-x86_64-0.6.3.2-archive.tar.xz
40-
cp -a libcusparse_lt-linux-x86_64-0.6.3.2-archive/include/* /usr/local/cuda/include/
41-
cp -a libcusparse_lt-linux-x86_64-0.6.3.2-archive/lib/* /usr/local/cuda/lib64/
42-
popd
43-
rm -rf tmp_cusparselt
44-
}
45-
46-
function install_118 {
47-
CUDNN_VERSION=9.1.0.70
48-
NCCL_VERSION=v2.21.5-1
49-
echo "Installing CUDA 11.8 and cuDNN ${CUDNN_VERSION} and NCCL ${NCCL_VERSION} and cuSparseLt-0.4.0"
50-
rm -rf /usr/local/cuda-11.8 /usr/local/cuda
51-
# install CUDA 11.8.0 in the same container
52-
wget -q https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run
53-
chmod +x cuda_11.8.0_520.61.05_linux.run
54-
./cuda_11.8.0_520.61.05_linux.run --toolkit --silent
55-
rm -f cuda_11.8.0_520.61.05_linux.run
56-
rm -f /usr/local/cuda && ln -s /usr/local/cuda-11.8 /usr/local/cuda
57-
58-
# cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
59-
mkdir tmp_cudnn && cd tmp_cudnn
60-
wget -q https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-${CUDNN_VERSION}_cuda11-archive.tar.xz -O cudnn-linux-x86_64-${CUDNN_VERSION}_cuda11-archive.tar.xz
61-
tar xf cudnn-linux-x86_64-${CUDNN_VERSION}_cuda11-archive.tar.xz
62-
cp -a cudnn-linux-x86_64-${CUDNN_VERSION}_cuda11-archive/include/* /usr/local/cuda/include/
63-
cp -a cudnn-linux-x86_64-${CUDNN_VERSION}_cuda11-archive/lib/* /usr/local/cuda/lib64/
64-
cd ..
65-
rm -rf tmp_cudnn
66-
67-
# NCCL license: https://docs.nvidia.com/deeplearning/nccl/#licenses
68-
# Follow build: https://github.com/NVIDIA/nccl/tree/master?tab=readme-ov-file#build
69-
git clone -b $NCCL_VERSION --depth 1 https://github.com/NVIDIA/nccl.git
70-
cd nccl && make -j src.build NVCC_GENCODE="${NVCC_GENCODE}"
71-
cp -a build/include/* /usr/local/cuda/include/
72-
cp -a build/lib/* /usr/local/cuda/lib64/
73-
cd ..
74-
rm -rf nccl
75-
76-
install_cusparselt_040
77-
78-
ldconfig
7+
arch_path=''
8+
targetarch=${TARGETARCH:-$(uname -m)}
9+
if [ ${targetarch} = 'amd64' ] || [ "${targetarch}" = 'x86_64' ]; then
10+
arch_path='x86_64'
11+
else
12+
arch_path='sbsa'
13+
fi
14+
15+
function install_cuda {
16+
version=$1
17+
runfile=$2
18+
major_minor=${version%.*}
19+
rm -rf /usr/local/cuda-${major_minor} /usr/local/cuda
20+
if [[ ${arch_path} == 'sbsa' ]]; then
21+
runfile="${runfile}_sbsa"
22+
fi
23+
runfile="${runfile}.run"
24+
wget -q https://developer.download.nvidia.com/compute/cuda/${version}/local_installers/${runfile} -O ${runfile}
25+
chmod +x ${runfile}
26+
./${runfile} --toolkit --silent
27+
rm -f ${runfile}
28+
rm -f /usr/local/cuda && ln -s /usr/local/cuda-${major_minor} /usr/local/cuda
7929
}
8030

81-
function install_124 {
82-
CUDNN_VERSION=9.1.0.70
83-
echo "Installing CUDA 12.4.1 and cuDNN ${CUDNN_VERSION} and NCCL ${NCCL_VERSION} and cuSparseLt-0.6.2"
84-
rm -rf /usr/local/cuda-12.4 /usr/local/cuda
85-
# install CUDA 12.4.1 in the same container
86-
wget -q https://developer.download.nvidia.com/compute/cuda/12.4.1/local_installers/cuda_12.4.1_550.54.15_linux.run
87-
chmod +x cuda_12.4.1_550.54.15_linux.run
88-
./cuda_12.4.1_550.54.15_linux.run --toolkit --silent
89-
rm -f cuda_12.4.1_550.54.15_linux.run
90-
rm -f /usr/local/cuda && ln -s /usr/local/cuda-12.4 /usr/local/cuda
91-
92-
# cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
31+
function install_cudnn {
32+
cuda_major_version=$1
33+
cudnn_version=$2
9334
mkdir tmp_cudnn && cd tmp_cudnn
94-
wget -q https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz -O cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz
95-
tar xf cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz
96-
cp -a cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive/include/* /usr/local/cuda/include/
97-
cp -a cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive/lib/* /usr/local/cuda/lib64/
35+
# cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
36+
filepath="cudnn-linux-${arch_path}-${cudnn_version}_cuda${cuda_major_version}-archive"
37+
wget -q https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-${arch_path}/${filepath}.tar.xz
38+
tar xf ${filepath}.tar.xz
39+
cp -a ${filepath}/include/* /usr/local/cuda/include/
40+
cp -a ${filepath}/lib/* /usr/local/cuda/lib64/
9841
cd ..
9942
rm -rf tmp_cudnn
43+
}
10044

45+
function install_nccl {
46+
nccl_version=$1
47+
nvcc_gencode=$2
10148
# NCCL license: https://docs.nvidia.com/deeplearning/nccl/#licenses
10249
# Follow build: https://github.com/NVIDIA/nccl/tree/master?tab=readme-ov-file#build
103-
git clone -b $NCCL_VERSION --depth 1 https://github.com/NVIDIA/nccl.git
104-
cd nccl && make -j src.build NVCC_GENCODE="${NVCC_GENCODE}"
50+
git clone -b ${nccl_version} --depth 1 https://github.com/NVIDIA/nccl.git
51+
cd nccl
52+
make -j src.build NVCC_GENCODE="${nvcc_gencode}"
10553
cp -a build/include/* /usr/local/cuda/include/
10654
cp -a build/lib/* /usr/local/cuda/lib64/
10755
cd ..
10856
rm -rf nccl
57+
}
10958

110-
install_cusparselt_062
59+
function install_cusparselt {
60+
cusparselt_version=$1
61+
# cuSPARSELt license: https://docs.nvidia.com/cuda/cusparselt/license.html
62+
mkdir tmp_cusparselt && cd tmp_cusparselt
63+
cusparselt_name="libcusparse_lt-linux-${arch_path}-${cusparselt_version}-archive"
64+
curl --retry 3 -OLs https://developer.download.nvidia.com/compute/cusparselt/redist/libcusparse_lt/linux-${arch_path}/${cusparselt_name}.tar.xz
11165

112-
ldconfig
66+
tar xf ${cusparselt_name}.tar.xz
67+
cp -a ${cusparselt_name}/include/* /usr/local/cuda/include/
68+
cp -a ${cusparselt_name}/lib/* /usr/local/cuda/lib64/
69+
cd ..
70+
rm -rf tmp_cusparselt
11371
}
11472

11573
function install_126 {
116-
echo "Installing CUDA 12.6.3 and cuDNN ${CUDNN_VERSION} and NCCL ${NCCL_VERSION} and cuSparseLt-0.6.3"
117-
rm -rf /usr/local/cuda-12.6 /usr/local/cuda
118-
# install CUDA 12.6.3 in the same container
119-
wget -q https://developer.download.nvidia.com/compute/cuda/12.6.3/local_installers/cuda_12.6.3_560.35.05_linux.run
120-
chmod +x cuda_12.6.3_560.35.05_linux.run
121-
./cuda_12.6.3_560.35.05_linux.run --toolkit --silent
122-
rm -f cuda_12.6.3_560.35.05_linux.run
123-
rm -f /usr/local/cuda && ln -s /usr/local/cuda-12.6 /usr/local/cuda
74+
CUDNN_VERSION=9.10.2.21
75+
NCCL_VERSION=v2.27.3-1
76+
NVCC_GENCODE="-gencode=arch=compute_80,code=sm_80 -gencode=arch=compute_90,code=sm_90"
77+
CUSPARSELT_VERSION=0.7.1.0
12478

125-
# cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
126-
mkdir tmp_cudnn && cd tmp_cudnn
127-
wget -q https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz -O cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz
128-
tar xf cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz
129-
cp -a cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive/include/* /usr/local/cuda/include/
130-
cp -a cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive/lib/* /usr/local/cuda/lib64/
131-
cd ..
132-
rm -rf tmp_cudnn
79+
echo "Installing CUDA 12.6.3 and cuDNN ${CUDNN_VERSION} and NCCL ${NCCL_VERSION} and cuSparseLt ${CUSPARSELT_VERSION}"
80+
install_cuda 12.6.3 cuda_12.6.3_560.35.05_linux
13381

134-
# NCCL license: https://docs.nvidia.com/deeplearning/nccl/#licenses
135-
# Follow build: https://github.com/NVIDIA/nccl/tree/master?tab=readme-ov-file#build
136-
git clone -b $NCCL_VERSION --depth 1 https://github.com/NVIDIA/nccl.git
137-
cd nccl && make -j src.build NVCC_GENCODE="${NVCC_GENCODE}"
138-
cp -a build/include/* /usr/local/cuda/include/
139-
cp -a build/lib/* /usr/local/cuda/lib64/
140-
cd ..
141-
rm -rf nccl
82+
install_cudnn 12 $CUDNN_VERSION
83+
84+
install_nccl $NCCL_VERSION $NVCC_GENCODE
14285

143-
install_cusparselt_063
86+
install_cusparselt $CUSPARSELT_VERSION
14487

14588
ldconfig
14689
}
14790

148-
function prune_118 {
149-
echo "Pruning CUDA 11.8 and cuDNN"
150-
#####################################################################################
151-
# CUDA 11.8 prune static libs
152-
#####################################################################################
153-
export NVPRUNE="/usr/local/cuda-11.8/bin/nvprune"
154-
export CUDA_LIB_DIR="/usr/local/cuda-11.8/lib64"
91+
function install_128 {
92+
CUDNN_VERSION=9.8.0.87
93+
NCCL_VERSION=v2.27.3-1
94+
NVCC_GENCODE="-gencode=arch=compute_80,code=sm_80 -gencode=arch=compute_90,code=sm_90 -gencode=arch=compute_100,code=sm_100 -gencode=arch=compute_120,code=sm_120 -gencode=arch=compute_120,code=compute_120"
95+
CUSPARSELT_VERSION=0.7.1.0
15596

156-
export GENCODE="-gencode arch=compute_35,code=sm_35 -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"
157-
export GENCODE_CUDNN="-gencode arch=compute_35,code=sm_35 -gencode arch=compute_37,code=sm_37 -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"
97+
echo "Installing CUDA 12.8.1 and cuDNN ${CUDNN_VERSION} and NCCL ${NCCL_VERSION} and cuSparseLt ${CUSPARSELT_VERSION}"
98+
# install CUDA 12.8.1 in the same container
99+
install_cuda 12.8.1 cuda_12.8.1_570.124.06_linux
158100

159-
if [[ -n "$OVERRIDE_GENCODE" ]]; then
160-
export GENCODE=$OVERRIDE_GENCODE
161-
fi
101+
install_cudnn 12 $CUDNN_VERSION
162102

163-
# all CUDA libs except CuDNN and CuBLAS (cudnn and cublas need arch 3.7 included)
164-
ls $CUDA_LIB_DIR/ | grep "\.a" | grep -v "culibos" | grep -v "cudart" | grep -v "cudnn" | grep -v "cublas" | grep -v "metis" \
165-
| xargs -I {} bash -c \
166-
"echo {} && $NVPRUNE $GENCODE $CUDA_LIB_DIR/{} -o $CUDA_LIB_DIR/{}"
103+
install_nccl $NCCL_VERSION $NVCC_GENCODE
167104

168-
# prune CuDNN and CuBLAS
169-
$NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublas_static.a -o $CUDA_LIB_DIR/libcublas_static.a
170-
$NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublasLt_static.a -o $CUDA_LIB_DIR/libcublasLt_static.a
105+
install_cusparselt $CUSPARSELT_VERSION
171106

172-
#####################################################################################
173-
# CUDA 11.8 prune visual tools
174-
#####################################################################################
175-
export CUDA_BASE="/usr/local/cuda-11.8/"
176-
rm -rf $CUDA_BASE/libnvvp $CUDA_BASE/nsightee_plugins $CUDA_BASE/nsight-compute-2022.3.0 $CUDA_BASE/nsight-systems-2022.4.2/
107+
ldconfig
177108
}
178109

179-
function prune_124 {
180-
echo "Pruning CUDA 12.4"
181-
#####################################################################################
182-
# CUDA 12.4 prune static libs
183-
#####################################################################################
184-
export NVPRUNE="/usr/local/cuda-12.4/bin/nvprune"
185-
export CUDA_LIB_DIR="/usr/local/cuda-12.4/lib64"
110+
function install_129 {
111+
CUDNN_VERSION=9.10.2.21
112+
NCCL_VERSION=v2.27.3-1
113+
NVCC_GENCODE="-gencode=arch=compute_80,code=sm_80 -gencode=arch=compute_90,code=sm_90 -gencode=arch=compute_100,code=sm_100 -gencode=arch=compute_120,code=sm_120 -gencode=arch=compute_120,code=compute_120"
114+
CUSPARSELT_VERSION=0.7.1.0
186115

187-
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"
188-
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"
116+
echo "Installing CUDA 12.9.1 and cuDNN ${CUDNN_VERSION} and NCCL ${NCCL_VERSION} and cuSparseLt ${CUSPARSELT_VERSION}"
117+
# install CUDA 12.9.1 in the same container
118+
install_cuda 12.9.1 cuda_12.9.1_575.57.08_linux
189119

190-
if [[ -n "$OVERRIDE_GENCODE" ]]; then
191-
export GENCODE=$OVERRIDE_GENCODE
192-
fi
193-
if [[ -n "$OVERRIDE_GENCODE_CUDNN" ]]; then
194-
export GENCODE_CUDNN=$OVERRIDE_GENCODE_CUDNN
195-
fi
120+
install_cudnn 12 $CUDNN_VERSION
196121

197-
# all CUDA libs except CuDNN and CuBLAS
198-
ls $CUDA_LIB_DIR/ | grep "\.a" | grep -v "culibos" | grep -v "cudart" | grep -v "cudnn" | grep -v "cublas" | grep -v "metis" \
199-
| xargs -I {} bash -c \
200-
"echo {} && $NVPRUNE $GENCODE $CUDA_LIB_DIR/{} -o $CUDA_LIB_DIR/{}"
122+
install_nccl $NCCL_VERSION $NVCC_GENCODE
201123

202-
# prune CuDNN and CuBLAS
203-
$NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublas_static.a -o $CUDA_LIB_DIR/libcublas_static.a
204-
$NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublasLt_static.a -o $CUDA_LIB_DIR/libcublasLt_static.a
124+
install_cusparselt $CUSPARSELT_VERSION
205125

206-
#####################################################################################
207-
# CUDA 12.4 prune visual tools
208-
#####################################################################################
209-
export CUDA_BASE="/usr/local/cuda-12.4/"
210-
rm -rf $CUDA_BASE/libnvvp $CUDA_BASE/nsightee_plugins $CUDA_BASE/nsight-compute-2024.1.0 $CUDA_BASE/nsight-systems-2023.4.4/
126+
ldconfig
211127
}
212128

213129
function prune_126 {
@@ -244,56 +160,18 @@ function prune_126 {
244160
rm -rf $CUDA_BASE/libnvvp $CUDA_BASE/nsightee_plugins $CUDA_BASE/nsight-compute-2024.3.2 $CUDA_BASE/nsight-systems-2024.5.1/
245161
}
246162

247-
function install_128 {
248-
CUDNN_VERSION=9.7.1.26
249-
# Include Blackwell support if using CUDA12.8 or above
250-
NVCC_GENCODE="-gencode=arch=compute_80,code=sm_80 -gencode=arch=compute_90,code=sm_90 -gencode=arch=compute_100,code=sm_100 -gencode=arch=compute_120,code=sm_120 -gencode=arch=compute_120,code=compute_120"
251-
echo "Installing CUDA 12.8.0 and cuDNN ${CUDNN_VERSION} and NCCL ${NCCL_VERSION} and cuSparseLt-0.6.3"
252-
rm -rf /usr/local/cuda-12.8 /usr/local/cuda
253-
# install CUDA 12.8.0 in the same container
254-
wget -q https://developer.download.nvidia.com/compute/cuda/12.8.0/local_installers/cuda_12.8.0_570.86.10_linux.run
255-
chmod +x cuda_12.8.0_570.86.10_linux.run
256-
./cuda_12.8.0_570.86.10_linux.run --toolkit --silent
257-
rm -f cuda_12.8.0_570.86.10_linux.run
258-
rm -f /usr/local/cuda && ln -s /usr/local/cuda-12.8 /usr/local/cuda
259-
260-
# cuDNN license: https://developer.nvidia.com/cudnn/license_agreement
261-
mkdir tmp_cudnn && cd tmp_cudnn
262-
wget -q https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz -O cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz
263-
tar xf cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive.tar.xz
264-
cp -a cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive/include/* /usr/local/cuda/include/
265-
cp -a cudnn-linux-x86_64-${CUDNN_VERSION}_cuda12-archive/lib/* /usr/local/cuda/lib64/
266-
cd ..
267-
rm -rf tmp_cudnn
268-
269-
# NCCL license: https://docs.nvidia.com/deeplearning/nccl/#licenses
270-
# Follow build: https://github.com/NVIDIA/nccl/tree/master?tab=readme-ov-file#build
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git clone -b $NCCL_VERSION --depth 1 https://github.com/NVIDIA/nccl.git
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cd nccl && make -j src.build NVCC_GENCODE="${NVCC_GENCODE}"
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cp -a build/include/* /usr/local/cuda/include/
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cp -a build/lib/* /usr/local/cuda/lib64/
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cd ..
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rm -rf nccl
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278-
install_cusparselt_063
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ldconfig
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}
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# idiomatic parameter and option handling in sh
284164
while test $# -gt 0
285165
do
286166
case "$1" in
287-
11.8) install_118; prune_118
288-
;;
289-
12.4) install_124; prune_124
167+
12.6|12.6.*) install_126; prune_126
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;;
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12.6) install_126; prune_126
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12.8|12.8.*) install_128;
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;;
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12.8) install_128;
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12.9|12.9.*) install_129;
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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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shift
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done
177+
done

‎.github/workflows/publish_devel_image.yml‎

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Original file line numberDiff line numberDiff line change
@@ -21,7 +21,7 @@ jobs:
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strategy:
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fail-fast: false
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matrix:
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cuda: ["12.6", "12.8"]
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cuda: ["12.6", "12.8", "12.9"]
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gcc: ["12"]
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runs-on: [self-hosted, linux]
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steps:

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