llama.cpp/ggml-cuda.h

#pragma once

#include "ggml.h"

#ifdef  __cplusplus
extern "C" {
#endif

#define GGML_CUDA_MAX_DEVICES       16

struct ggml_tensor_extra_gpu {
    void * data_device[GGML_CUDA_MAX_DEVICES]; // 1 pointer for each device for split tensors
};

void   ggml_init_cublas(void);
void   ggml_cuda_set_tensor_split(const float * tensor_split);

void   ggml_cuda_mul(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst);
bool   ggml_cuda_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst);
size_t ggml_cuda_mul_mat_get_wsize(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst);
void   ggml_cuda_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst, void * wdata, size_t wsize);

// TODO: export these with GGML_API
void * ggml_cuda_host_malloc(size_t size);
void   ggml_cuda_host_free(void * ptr);

void   ggml_cuda_load_data(const char * fname, struct ggml_tensor * tensors, size_t offset);
void   ggml_cuda_free_data(struct ggml_tensor * tensor);
void   ggml_cuda_assign_buffers(struct ggml_tensor * tensor);
void   ggml_cuda_set_main_device(int main_device);
void   ggml_cuda_set_scratch_size(size_t scratch_size);
bool   ggml_cuda_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * tensor);

#ifdef  __cplusplus
}
#endif