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CUDA 13.x API compatibility #490

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CUDA 13.x API compatibility #490

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d2fa393
CUDA 13.x API compatibility
MozillaFiredoge May 20, 2026
126212f
Adjust GPU architecture settings for CUDA versions
MozillaFiredoge May 20, 2026
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13 changes: 9 additions & 4 deletions physx/source/compiler/cmakegpu/CMakeLists.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -85,10 +85,15 @@ SET(SOURCE_DISTRO_FILE_LIST "")
# since that's the default set in: compiler\internal\CMakeLists.txt (using CMAKE_CUDA_ARCHITECTURES)
# see policy CMP0104
IF(PX_GENERATE_GPU_REDUCED_ARCHITECTURES)
GENERATE_ARCH_CODE_LIST(SASS "80,86,89,90,100,120" PTX "120")
ELSE()
# Volta is the minimum compute arch required because NGC supports V100
GENERATE_ARCH_CODE_LIST(SASS "70,80,86,89,90,100,120" PTX "120")
IF(CMAKE_CUDA_COMPILER_VERSION VERSION_LESS 13.0)
# CUDA 12.x still supports offline compilation for Volta / sm_70.
SET(PHYSX_GPU_SASS_ARCHS "70,80,86,89,90,100,120")
ELSE()
# CUDA 13.x removed offline compilation support for pre-Turing architectures.
SET(PHYSX_GPU_SASS_ARCHS "80,86,89,90,100,120")
ENDIF()

GENERATE_ARCH_CODE_LIST(SASS "${PHYSX_GPU_SASS_ARCHS}" PTX "120")
ENDIF()

# Force response files off because clangd does not parse them
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7 changes: 6 additions & 1 deletion physx/source/cudamanager/src/CudaContextManager.cpp
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Expand Up @@ -574,7 +574,12 @@ CudaCtxMgr::CudaCtxMgr(const PxCudaContextManagerDesc& desc, PxErrorCallback& er
return;
}

status = cuCtxCreate(&mCtx, (unsigned int)flags, mDevHandle);
#if CUDA_VERSION >= 13000
status = cuCtxCreate(&mCtx, nullptr, (unsigned int)flags, mDevHandle);
#else
status = cuCtxCreate(&mCtx, (unsigned int)flags, mDevHandle);
#endif

if (CUDA_SUCCESS != status)
{
const size_t bufferSize = 128;
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18 changes: 18 additions & 0 deletions physx/source/cudamanager/src/CudaKernelWrangler.cpp
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Expand Up @@ -189,6 +189,24 @@ void CUDARTAPI __cudaRegisterFunction(void** fatCubinHandle, const char*,

/* These functions are implemented just to resolve link dependencies */

extern "C"
cudaError_t CUDARTAPI __cudaLaunchKernel(
const void*,
dim3,
dim3,
void**,
size_t,
cudaStream_t)
{
return cudaSuccess;
}

extern "C"
const void* CUDARTAPI __cudaGetKernel(const void* func)
{
return func;
}

extern "C"
cudaError_t CUDARTAPI cudaLaunch(const char* entry)
{
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