vllm/csrc/cuda_utils.h
Lucas Wilkinson 288cc6c234
[Attention] MLA with chunked prefill (#12639)
Signed-off-by: Lucas Wilkinson <lwilkinson@neuralmagic.com>
Signed-off-by: Lucas Wilkinson <lwilkins@redhat.com>
Co-authored-by: Patrick Horn <patrick.horn@gmail.com>
Co-authored-by: simon-mo <xmo@berkeley.edu>
Co-authored-by: Tyler Michael Smith <tyler@neuralmagic.com>
2025-02-21 15:30:12 -08:00

41 lines
1.4 KiB
C++

#pragma once
#include <stdio.h>
#if defined(__HIPCC__)
#define HOST_DEVICE_INLINE __host__ __device__
#define DEVICE_INLINE __device__
#define HOST_INLINE __host__
#elif defined(__CUDACC__) || defined(_NVHPC_CUDA)
#define HOST_DEVICE_INLINE __host__ __device__ __forceinline__
#define DEVICE_INLINE __device__ __forceinline__
#define HOST_INLINE __host__ __forceinline__
#else
#define HOST_DEVICE_INLINE inline
#define DEVICE_INLINE inline
#define HOST_INLINE inline
#endif
#define CUDA_CHECK(cmd) \
do { \
cudaError_t e = cmd; \
if (e != cudaSuccess) { \
printf("Failed: Cuda error %s:%d '%s'\n", __FILE__, __LINE__, \
cudaGetErrorString(e)); \
exit(EXIT_FAILURE); \
} \
} while (0)
int64_t get_device_attribute(int64_t attribute, int64_t device_id);
int64_t get_max_shared_memory_per_block_device_attribute(int64_t device_id);
namespace cuda_utils {
template <typename T>
HOST_DEVICE_INLINE constexpr std::enable_if_t<std::is_integral_v<T>, T>
ceil_div(T a, T b) {
return (a + b - 1) / b;
}
}; // namespace cuda_utils