"error: exception specification is incompatible" for cospi/sinpi/cospif/sinpif with glibc-2.41

Accelerated Computing CUDA CUDA NVCC Compiler
3

For the record, this naive patch fixes my problem on Gentoo ~amd64 (where downgrading glibc is not possible):

diff '--color=auto' -ur builds.orig/cuda_nvcc/targets/x86_64-linux/include/crt/math_functions.h builds/cuda_nvcc/targets/x86_64-linux/include/crt/math_functions.h
--- a/builds.orig/cuda_nvcc/targets/x86_64-linux/include/crt/math_functions.h	2024-08-23 00:25:39.000000000 +0200
+++ b/builds/cuda_nvcc/targets/x86_64-linux/include/crt/math_functions.h	2025-02-17 01:19:44.270292640 +0100
@@ -2547,7 +2547,7 @@
  *
  * \note_accuracy_double
  */
-extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ double                 sinpi(double x);
+extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ double                 sinpi(double x) noexcept (true);
 /**
  * \ingroup CUDA_MATH_SINGLE
  * \brief Calculate the sine of the input argument 
@@ -2570,7 +2570,7 @@
  *
  * \note_accuracy_single
  */
-extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ float                  sinpif(float x);
+extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ float                  sinpif(float x) noexcept (true);
 /**
  * \ingroup CUDA_MATH_DOUBLE
  * \brief Calculate the cosine of the input argument 
@@ -2592,7 +2592,7 @@
  *
  * \note_accuracy_double
  */
-extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ double                 cospi(double x);
+extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ double                 cospi(double x) noexcept (true);
 /**
  * \ingroup CUDA_MATH_SINGLE
  * \brief Calculate the cosine of the input argument 
@@ -2614,7 +2614,7 @@
  *
  * \note_accuracy_single
  */
-extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ float                  cospif(float x);
+extern __DEVICE_FUNCTIONS_DECL__ __device_builtin__ float                  cospif(float x) noexcept (true);
 /**
  * \ingroup CUDA_MATH_DOUBLE
  * \brief  Calculate the sine and cosine of the first input argument

Tested with both CUDA 12.6.1 and 12.8.0 .

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