[devel] Update to CUDA 13

cuda-flags.file

@@ -2,8 +2,8 @@
 ## INCLUDE cpp-standard
 # define the CUDA compilation flags in a way that can be shared by SCRAM-based and regular tools
 
-# build support for Volta (7.0), Turing (7.5), Ampere (8.x), Lovelace (8.9), Hopper (9.0) and Blackwell (10.0, 12.0)
-%define cuda_arch 70 75 80 89 90 100 120
+# build support for Turing (7.5), Ampere (8.x), Lovelace (8.9), Hopper (9.0) and Blackwell (10.0, 12.0)
+%define cuda_arch 75 80 89 90 100 120
 
 # LIBOMPTARGET_NVPTX_COMPUTE_CAPABILITIES style for listing the supported CUDA compute architectures
 %define omptarget_cuda_archs %(echo $(for ARCH in %cuda_arch; do echo "$ARCH"; done) | sed -e"s/ /,/g")

cuda.spec

@@ -1,8 +1,8 @@
-### RPM external cuda 12.9.1
+### RPM external cuda 13.3.0
 ## INITENV +PATH LD_LIBRARY_PATH %i/lib64
 
 %define runpath_opts -m compute-sanitizer -m drivers -m nvvm
-%define driversversion 575.57.08
+%define driversversion 610.43.02
 
 %ifarch x86_64
 Source0: https://developer.download.nvidia.com/compute/cuda/%{realversion}/local_installers/%{n}_%{realversion}_%{driversversion}_linux.run
@@ -53,13 +53,11 @@ chmod a+x %_builddir/build/extras/CUPTI/lib64/*.so*
 mv %_builddir/build/extras/CUPTI/lib64/*.so* %{i}/lib64/
 mv %_builddir/build/extras/CUPTI/include/*.h %{i}/include/
 
-# leave out the Nsight and NVVP graphical tools, and package the other binaries
-rm -f %_builddir/build/bin/computeprof
+# leave out the graphical tools, and package the other binaries
 rm -f %_builddir/build/bin/cuda-uninstaller
 rm -f %_builddir/build/bin/ncu*
 rm -f %_builddir/build/bin/nsight*
 rm -f %_builddir/build/bin/nsys*
-rm -f %_builddir/build/bin/nvvp
 mv %_builddir/build/bin %{i}/
 
 # package the cuda-gdb support files, and rename the binary to use it via a wrapper

cudnn.spec

@@ -1,7 +1,7 @@
-### RPM external cudnn 9.9.0.52
+### RPM external cudnn 9.23.0.39
 ## INITENV +PATH LD_LIBRARY_PATH %i/lib64
 
-%define cudaver 12
+%define cudaver 13
 
 # NVIDIA uses sbsa for aarch64, and the standard architecture name for ppc64le and x86_64
 %ifarch aarch64

onnxruntime/cms-changes.patch

@@ -1,16 +1,16 @@
 diff --git a/onnxruntime/core/mlas/lib/platform.cpp b/onnxruntime/core/mlas/lib/platform.cpp
-index eccde79848e61..4a107f173da07 100644
+index 191ee1ab2f..c958e7148a 100644
 --- a/onnxruntime/core/mlas/lib/platform.cpp
 +++ b/onnxruntime/core/mlas/lib/platform.cpp
-@@ -23,6 +23,7 @@ Module Name:
- #include "kleidiai/mlasi_kleidiai.h"
- #endif
-
+@@ -30,6 +30,7 @@ Abstract:
+ #include <cctype>
+ #include <cstdlib>
+ #include <mutex>
 +#include <string>
  #include <thread>
- #include <mutex>
 
-@@ -355,8 +356,11 @@ Return Value:
+ #if defined(MLAS_TARGET_POWER)
+@@ -436,8 +437,11 @@ Return Value:
          //
 
          uint64_t xcr0 = MlasReadExtendedControlRegister(_XCR_XFEATURE_ENABLED_MASK);
@@ -23,7 +23,7 @@ index eccde79848e61..4a107f173da07 100644
 
              this->GemmFloatKernel = MlasGemmFloatKernelAvx;
 
-@@ -390,7 +394,7 @@ Return Value:
+@@ -471,7 +475,7 @@ Return Value:
              __cpuid_count(7, 0, Cpuid7[0], Cpuid7[1], Cpuid7[2], Cpuid7[3]);
  #endif
 
@@ -33,7 +33,7 @@ index eccde79848e61..4a107f173da07 100644
                  this->Avx2Supported_ = true;
 
 diff --git a/onnxruntime/core/providers/cpu/tensor/scatter.cc b/onnxruntime/core/providers/cpu/tensor/scatter.cc
-index c7a2005924836..c938ca9bf073d 100644
+index c7a2005924..c938ca9bf0 100644
 --- a/onnxruntime/core/providers/cpu/tensor/scatter.cc
 +++ b/onnxruntime/core/providers/cpu/tensor/scatter.cc
 @@ -326,7 +326,7 @@ Status ScatterData(

onnxruntime/spec

@@ -1,4 +1,4 @@
-### RPM external onnxruntime 1.25.1
+### RPM external onnxruntime 1.26.0
 ## INITENV +PATH PYTHON3PATH %{i}/${PYTHON3_LIB_SITE_PACKAGES}
 ## INCLUDE cuda-flags
 %define github_user microsoft