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Update CUDA to version 12.9.0 and cuDNN to version 9.9.0 #9856

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Merged
smuzaffar merged 4 commits into from
May 17, 2025
Merged

Update CUDA to version 12.9.0 and cuDNN to version 9.9.0 #9856

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e92e675
Update CUDA to version 12.9.0
fwyzard May 6, 2025
c80ebd6
Update cuDNN to version 9.9.0
fwyzard May 7, 2025
05125b2
PyTorch: fix use of NVTXv3
fwyzard May 7, 2025
8801d64
CUDA: use the redistributable CUDA driver libraries in place of the s…
fwyzard May 8, 2025
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48 changes: 26 additions & 22 deletions cuda.spec
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Original file line number Diff line number Diff line change
@@ -1,8 +1,8 @@
### RPM external cuda 12.8.1
### RPM external cuda 12.9.0
## INITENV +PATH LD_LIBRARY_PATH %i/lib64

%define runpath_opts -m compute-sanitizer -m drivers -m nvvm
%define driversversion 570.124.06
%define driversversion 575.51.03

%ifarch x86_64
Source0: https://developer.download.nvidia.com/compute/cuda/%{realversion}/local_installers/%{n}_%{realversion}_%{driversversion}_linux.run
Expand All @@ -28,18 +28,13 @@ cd %_builddir/
# create target directory structure
mkdir -p %{i}/include
mkdir -p %{i}/lib64
mkdir -p %{i}/lib64/stubs

# package only the runtime static libraries
mv %_builddir/build/lib64/libcudadevrt.a %{i}/lib64/
mv %_builddir/build/lib64/libcudart_static.a %{i}/lib64/
rm -f %_builddir/build/lib64/lib*.a

# package only the CUDA driver and NVML library stubs
mv %_builddir/build/lib64/stubs/libcuda.so %{i}/lib64/stubs/libcuda.so
ln -sf libcuda.so %{i}/lib64/stubs/libcuda.so.1
mv %_builddir/build/lib64/stubs/libnvidia-ml.so %{i}/lib64/stubs/libnvidia-ml.so
ln -sf libnvidia-ml.so %{i}/lib64/stubs/libnvidia-ml.so.1
# the stub libraries will be replaced by the redistributable driver libraries
rm -rf %_builddir/build/lib64/stubs/

# do not package the OpenCL libraries
Expand Down Expand Up @@ -85,23 +80,32 @@ ln -s ../compute-sanitizer/compute-sanitizer %{i}/bin/compute-sanitizer
# package the NVVM compiler (cicc), library (libnvvm.so), device library (libdevice.10.bc) and samples
mv %_builddir/build/nvvm %{i}/

# extract and repackage the NVIDIA libraries needed by the CUDA runtime
# extract and repackage the redistributable NVIDIA driver libraries needed by the CUDA runtime
/bin/sh %_builddir/pkg/builds/NVIDIA-Linux-%{_arch}-%{driversversion}.run --silent --extract-only --tmpdir %_builddir/tmp --target %_builddir/build/drivers

mkdir -p %{i}/drivers
mv %_builddir/build/drivers/libcuda.so.%{driversversion} %{i}/drivers/
ln -sf libcuda.so.%{driversversion} %{i}/drivers/libcuda.so.1
ln -sf libcuda.so.1 %{i}/drivers/libcuda.so
mv %_builddir/build/drivers/libcudadebugger.so.%{driversversion} %{i}/drivers/
ln -sf libcudadebugger.so.%{driversversion} %{i}/drivers/libcudadebugger.so.1
ln -sf libcudadebugger.so.1 %{i}/drivers/libcudadebugger.so
mv %_builddir/build/drivers/libnvidia-ptxjitcompiler.so.%{driversversion} %{i}/drivers/
ln -sf libnvidia-ptxjitcompiler.so.%{driversversion} %{i}/drivers/libnvidia-ptxjitcompiler.so.1
ln -sf libnvidia-ptxjitcompiler.so.1 %{i}/drivers/libnvidia-ptxjitcompiler.so
mv %_builddir/build/drivers/libnvidia-nvvm.so.%{driversversion} %{i}/drivers/
ln -sf libnvidia-nvvm.so.%{driversversion} %{i}/drivers/libnvidia-nvvm.so.4
ln -sf libnvidia-nvvm.so.4 %{i}/drivers/libnvidia-nvvm.so
mv %_builddir/build/drivers/nvidia-smi %{i}/drivers/
cp -p %_builddir/build/drivers/libcuda.so.%{driversversion} %{i}/drivers/
ln -sf libcuda.so.%{driversversion} %{i}/drivers/libcuda.so.1
ln -sf libcuda.so.1 %{i}/drivers/libcuda.so
cp -p %_builddir/build/drivers/libcudadebugger.so.%{driversversion} %{i}/drivers/
ln -sf libcudadebugger.so.%{driversversion} %{i}/drivers/libcudadebugger.so.1
ln -sf libcudadebugger.so.1 %{i}/drivers/libcudadebugger.so
cp -p %_builddir/build/drivers/libnvidia-ptxjitcompiler.so.%{driversversion} %{i}/drivers/
ln -sf libnvidia-ptxjitcompiler.so.%{driversversion} %{i}/drivers/libnvidia-ptxjitcompiler.so.1
ln -sf libnvidia-ptxjitcompiler.so.1 %{i}/drivers/libnvidia-ptxjitcompiler.so
cp -p %_builddir/build/drivers/libnvidia-nvvm.so.%{driversversion} %{i}/drivers/
ln -sf libnvidia-nvvm.so.%{driversversion} %{i}/drivers/libnvidia-nvvm.so.4
ln -sf libnvidia-nvvm.so.4 %{i}/drivers/libnvidia-nvvm.so
cp -p %_builddir/build/drivers/nvidia-smi %{i}/drivers/

# reuse the redistributable CUDA driver library and NVML library in place of the CUDA stub libraries
mkdir -p %{i}/lib64/stubs
cp -p %_builddir/build/drivers/libcuda.so.%{driversversion} %{i}/lib64/stubs/
ln -sf libcuda.so.%{driversversion} %{i}/lib64/stubs/libcuda.so.1
ln -sf libcuda.so.1 %{i}/lib64/stubs/libcuda.so
cp -p %_builddir/build/drivers/libnvidia-ml.so.%{driversversion} %{i}/lib64/stubs/
ln -sf libnvidia-ml.so.%{driversversion} %{i}/lib64/stubs/libnvidia-ml.so.1
ln -sf libnvidia-ml.so.1 %{i}/lib64/stubs/libnvidia-ml.so

%post
# let nvcc find its components when invoked from the command line
Expand Down
2 changes: 1 addition & 1 deletion cudnn.spec
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Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
### RPM external cudnn 9.6.0.74
### RPM external cudnn 9.9.0.52
## INITENV +PATH LD_LIBRARY_PATH %i/lib64

%define cudaver 12
Expand Down
1 change: 1 addition & 0 deletions pytorch-cluster.spec
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Original file line number Diff line number Diff line change
Expand Up @@ -42,6 +42,7 @@ cmake ../%{n}-%{realversion} \
%if 0%{!?without_cuda:1}
-DWITH_CUDA=${USE_CUDA} \
-DTORCH_CUDA_ARCH_LIST="%{cuda_arch_float}" \
-Dnvtx3_dir=${CUDA_ROOT}/include \
%endif
-DBUILD_SHARED_LIBS=ON

Expand Down
1 change: 1 addition & 0 deletions pytorch-scatter.spec
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Original file line number Diff line number Diff line change
Expand Up @@ -43,6 +43,7 @@ cmake ../%{n}-%{realversion} \
%if 0%{!?without_cuda:1}
-DWITH_CUDA=${USE_CUDA} \
-DTORCH_CUDA_ARCH_LIST="%{cuda_arch_float}" \
-Dnvtx3_dir=${CUDA_ROOT}/include \
%endif
-DBUILD_SHARED_LIBS=ON

Expand Down
1 change: 1 addition & 0 deletions pytorch-sparse.spec
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Original file line number Diff line number Diff line change
Expand Up @@ -43,6 +43,7 @@ cmake ../%{n}-%{realversion} \
%if 0%{!?without_cuda:1}
-DWITH_CUDA=${USE_CUDA} \
-DTORCH_CUDA_ARCH_LIST="%{cuda_arch_float}" \
-Dnvtx3_dir=${CUDA_ROOT}/include \
%endif
-DBUILD_SHARED_LIBS=ON

Expand Down
1 change: 1 addition & 0 deletions pytorch.spec
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Original file line number Diff line number Diff line change
Expand Up @@ -45,6 +45,7 @@ cmake ../%{n}-%{realversion} \
%if 0%{!?without_cuda:1}
-DUSE_CUDA=${USE_CUDA} \
-DTORCH_CUDA_ARCH_LIST="%{cuda_arch_float}" \
-Dnvtx3_dir=${CUDA_ROOT}/include \
-DUSE_CUDNN=${USE_CUDA} \
-DCUDNN_ROOT=${CUDNN_ROOT} \
%else
Expand Down
5 changes: 2 additions & 3 deletions scram-tools.file/tools/cuda/cuda.xml
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Original file line number Diff line number Diff line change
@@ -1,10 +1,9 @@
<tool name="cuda" version="@TOOL_VERSION@" revision="3">
<tool name="cuda" version="@TOOL_VERSION@" revision="4">
<info url="https://docs.nvidia.com/cuda/index.html"/>
<use name="cuda-interface"/>
<use name="cuda-stubs"/>
<lib name="cudart"/>
<lib name="cudadevrt"/>
<lib name="nvToolsExt"/>
<use name="cuda-interface"/>
<client>
<environment name="CUDA_BASE" default="@TOOL_ROOT@"/>
<environment name="NVCC" default="$CUDA_BASE/bin/nvcc"/>
Expand Down