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	Basic Vulkan Multi-GPU implementation (#5321)
* Initial Vulkan multi-gpu implementation Move most global variables into backend context * Add names to backend device functions * Add further missing cleanup code * Reduce code duplication in tensor split layer assignment * generalize LLAMA_SPLIT_LAYER for all backends, do not expose device count and memory in llama.h * Only do device info print in the beginning and initialize one backend for cpu assist Add missing cleanup code * Rework backend memory management to make sure devices and buffers get properly allocated and freed * Rename cpu assist free function --------- Co-authored-by: slaren <slarengh@gmail.com>
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		| @@ -8,24 +8,29 @@ extern "C" { | ||||
| #endif | ||||
|  | ||||
| #define GGML_VK_NAME "Vulkan" | ||||
| #define GGML_VK_MAX_DEVICES 16 | ||||
|  | ||||
| GGML_API void ggml_vk_init(void); | ||||
| GGML_API void ggml_vk_init_cpu_assist(void); | ||||
|  | ||||
| GGML_API void ggml_vk_preallocate_buffers_graph(struct ggml_tensor * node); | ||||
| GGML_API void ggml_vk_preallocate_buffers(void); | ||||
| GGML_API void ggml_vk_build_graph(struct ggml_tensor * node, bool last_node); | ||||
| GGML_API bool ggml_vk_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * tensor); | ||||
| GGML_API void ggml_vk_preallocate_buffers_graph_cpu_assist(struct ggml_tensor * node); | ||||
| GGML_API void ggml_vk_preallocate_buffers_cpu_assist(void); | ||||
| GGML_API void ggml_vk_build_graph_cpu_assist(struct ggml_tensor * node, bool last_node); | ||||
| GGML_API bool ggml_vk_compute_forward_cpu_assist(struct ggml_compute_params * params, struct ggml_tensor * tensor); | ||||
| #ifdef GGML_VULKAN_CHECK_RESULTS | ||||
| void ggml_vk_check_results_1(struct ggml_compute_params * params, struct ggml_tensor * tensor); | ||||
| void ggml_vk_check_results_1_cpu_assist(struct ggml_compute_params * params, struct ggml_tensor * tensor); | ||||
| #endif | ||||
| GGML_API void ggml_vk_graph_cleanup(void); | ||||
| GGML_API void ggml_vk_graph_cleanup_cpu_assist(void); | ||||
| GGML_API void ggml_vk_free_cpu_assist(void); | ||||
|  | ||||
| // backend API | ||||
| GGML_API GGML_CALL ggml_backend_t ggml_backend_vk_init(void); | ||||
| GGML_API GGML_CALL ggml_backend_t ggml_backend_vk_init(size_t dev_num); | ||||
|  | ||||
| GGML_API GGML_CALL bool ggml_backend_is_vk(ggml_backend_t backend); | ||||
| GGML_API GGML_CALL int  ggml_backend_vk_get_device_count(void); | ||||
| GGML_API GGML_CALL void ggml_backend_vk_get_device_description(int device, char * description, size_t description_size); | ||||
| GGML_API GGML_CALL void ggml_backend_vk_get_device_memory(int device, size_t * free, size_t * total); | ||||
|  | ||||
| GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_vk_buffer_type(void); | ||||
| GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_vk_buffer_type(size_t dev_num); | ||||
| // pinned host buffer for use with the CPU backend for faster copies between CPU and GPU | ||||
| GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_vk_host_buffer_type(void); | ||||
|  | ||||
|   | ||||
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