Compile CUDA 13 on Nvidia 5090 sm_120

[DrStone71]

CUDA 13 change library and clean code of redundancy. This fix compile on Nvidia 5090 with CUDA 13.0

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[pytorch-bot]

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[DrStone71]

thanks !!

Use #include <cuda/std/functional> is better !

[johnnynunez]

@DrStone71 did work for you?
i had fix more things for cuda 13

[DrStone71]

@johnnynunez

pytorch vision and audio.

When i use cub::Sum,Max and Min i have fix with this @define

#if !defined(USE_ROCM) && defined(CCCL_MAJOR_VERSION) && (CCCL_MAJOR_VERSION >= 3)
#include <cuda/std/functional>
#include <cuda/functional>
using Sum_fix = cuda::std::plus<>;
using Max_fix = cuda::maximum<>;
using Min_fix = cuda::minimum<>;
#else
#include <cub/cub.cuh>
using Sum_fix = cub::Sum;
using Max_fix = cub::Max;
using Min_fix = cub::Min;
#endif

but is a wip :-(

[johnnynunez]

@johnnynunez

pytorch vision and audio.

When i use cub::Sum,Max and Min i have fix with this @define

#if !defined(USE_ROCM) && defined(CCCL_MAJOR_VERSION) && (CCCL_MAJOR_VERSION >= 3) #include <cuda/std/functional> #include <cuda/functional> using Sum_fix = cuda::std::plus<>; using Max_fix = cuda::maximum<>; using Min_fix = cuda::minimum<>; #else #include <cub/cub.cuh> using Sum_fix = cub::Sum; using Max_fix = cub::Max; using Min_fix = cub::Min; #endif

but is a wip :-(

Yes. It is happening in all repositories.
You can see here an example in sglang: https://github.com/sgl-project/sglang/pull/9495/files