ggml-cuda.h 2.1 KB

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  1. #pragma once
  2. #include "ggml.h"
  3. #include "ggml-backend.h"
  4. #ifdef GGML_USE_HIPBLAS
  5. #define GGML_CUDA_NAME "ROCm"
  6. #define GGML_CUBLAS_NAME "hipBLAS"
  7. #else
  8. #define GGML_CUDA_NAME "CUDA"
  9. #define GGML_CUBLAS_NAME "cuBLAS"
  10. #endif
  11. #ifdef __cplusplus
  12. extern "C" {
  13. #endif
  14. #define GGML_CUDA_MAX_DEVICES 16
  15. // Always success. To check if CUDA is actually loaded, use `ggml_cublas_loaded`.
  16. GGML_API GGML_CALL void ggml_init_cublas(void);
  17. // Returns `true` if there are available CUDA devices and cublas loads successfully; otherwise, it returns `false`.
  18. GGML_API GGML_CALL bool ggml_cublas_loaded(void);
  19. GGML_API GGML_CALL void * ggml_cuda_host_malloc(size_t size);
  20. GGML_API GGML_CALL void ggml_cuda_host_free(void * ptr);
  21. GGML_API GGML_CALL bool ggml_cuda_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst);
  22. GGML_API GGML_CALL bool ggml_cuda_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * tensor);
  23. GGML_API GGML_CALL int ggml_cuda_get_device_count(void);
  24. GGML_API GGML_CALL void ggml_cuda_get_device_description(int device, char * description, size_t description_size);
  25. // backend API
  26. GGML_API GGML_CALL ggml_backend_t ggml_backend_cuda_init(int device);
  27. GGML_API GGML_CALL bool ggml_backend_is_cuda(ggml_backend_t backend);
  28. GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_cuda_buffer_type(int device);
  29. // split tensor buffer that splits matrices by rows across multiple devices
  30. GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_cuda_split_buffer_type(const float * tensor_split);
  31. // pinned host buffer for use with the CPU backend for faster copies between CPU and GPU
  32. GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_cuda_host_buffer_type(void);
  33. GGML_API GGML_CALL int ggml_backend_cuda_get_device_count(void);
  34. GGML_API GGML_CALL void ggml_backend_cuda_get_device_description(int device, char * description, size_t description_size);
  35. GGML_API GGML_CALL void ggml_backend_cuda_get_device_memory(int device, size_t * free, size_t * total);
  36. #ifdef __cplusplus
  37. }
  38. #endif