ggml-cuda.h 2.6 KB

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  1. /**
  2. * llama.cpp - git 059031b8c40e1f4ba60586842c5b1ed3ddf61842
  3. *
  4. * MIT License
  5. *
  6. * Copyright (c) 2023-2024 The ggml authors
  7. *
  8. * Permission is hereby granted, free of charge, to any person obtaining a copy
  9. * of this software and associated documentation files (the "Software"), to deal
  10. * in the Software without restriction, including without limitation the rights
  11. * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
  12. * copies of the Software, and to permit persons to whom the Software is
  13. * furnished to do so, subject to the following conditions:
  14. *
  15. * The above copyright notice and this permission notice shall be included in all
  16. * copies or substantial portions of the Software.
  17. *
  18. * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
  19. * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
  20. * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
  21. * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
  22. * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
  23. * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
  24. * SOFTWARE.
  25. */
  26. #pragma once
  27. #include "ggml.h"
  28. #include "ggml-backend.h"
  29. #ifdef GGML_USE_HIPBLAS
  30. #define GGML_CUDA_NAME "ROCm"
  31. #define GGML_CUBLAS_NAME "hipBLAS"
  32. #else
  33. #define GGML_CUDA_NAME "CUDA"
  34. #define GGML_CUBLAS_NAME "cuBLAS"
  35. #endif
  36. #ifdef __cplusplus
  37. extern "C" {
  38. #endif
  39. #define GGML_CUDA_MAX_DEVICES 16
  40. // backend API
  41. GGML_API GGML_CALL ggml_backend_t ggml_backend_cuda_init(int device);
  42. GGML_API GGML_CALL bool ggml_backend_is_cuda(ggml_backend_t backend);
  43. // device buffer
  44. GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_cuda_buffer_type(int device);
  45. // split tensor buffer that splits matrices by rows across multiple devices
  46. GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_cuda_split_buffer_type(const float * tensor_split);
  47. // pinned host buffer for use with the CPU backend for faster copies between CPU and GPU
  48. GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_cuda_host_buffer_type(void);
  49. GGML_API GGML_CALL int ggml_backend_cuda_reg_devices();
  50. GGML_API GGML_CALL int ggml_backend_cuda_get_device_count(void);
  51. GGML_API GGML_CALL void ggml_backend_cuda_get_device_description(int device, char * description, size_t description_size);
  52. GGML_API GGML_CALL void ggml_backend_cuda_get_device_memory(int device, size_t * free, size_t * total);
  53. GGML_API GGML_CALL bool ggml_backend_cuda_register_host_buffer(void * buffer, size_t size);
  54. GGML_API GGML_CALL void ggml_backend_cuda_unregister_host_buffer(void * buffer);
  55. #ifdef __cplusplus
  56. }
  57. #endif