mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2024-11-11 21:39:52 +00:00
ee1628bdfe
* 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>
40 lines
1.5 KiB
C
40 lines
1.5 KiB
C
#pragma once
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#include "ggml.h"
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#include "ggml-backend.h"
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#ifdef __cplusplus
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extern "C" {
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#endif
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#define GGML_VK_NAME "Vulkan"
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#define GGML_VK_MAX_DEVICES 16
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GGML_API void ggml_vk_init_cpu_assist(void);
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GGML_API void ggml_vk_preallocate_buffers_graph_cpu_assist(struct ggml_tensor * node);
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GGML_API void ggml_vk_preallocate_buffers_cpu_assist(void);
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GGML_API void ggml_vk_build_graph_cpu_assist(struct ggml_tensor * node, bool last_node);
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GGML_API bool ggml_vk_compute_forward_cpu_assist(struct ggml_compute_params * params, struct ggml_tensor * tensor);
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#ifdef GGML_VULKAN_CHECK_RESULTS
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void ggml_vk_check_results_1_cpu_assist(struct ggml_compute_params * params, struct ggml_tensor * tensor);
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#endif
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GGML_API void ggml_vk_graph_cleanup_cpu_assist(void);
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GGML_API void ggml_vk_free_cpu_assist(void);
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// backend API
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GGML_API GGML_CALL ggml_backend_t ggml_backend_vk_init(size_t dev_num);
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GGML_API GGML_CALL bool ggml_backend_is_vk(ggml_backend_t backend);
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GGML_API GGML_CALL int ggml_backend_vk_get_device_count(void);
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GGML_API GGML_CALL void ggml_backend_vk_get_device_description(int device, char * description, size_t description_size);
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GGML_API GGML_CALL void ggml_backend_vk_get_device_memory(int device, size_t * free, size_t * total);
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GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_vk_buffer_type(size_t dev_num);
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// pinned host buffer for use with the CPU backend for faster copies between CPU and GPU
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GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_vk_host_buffer_type(void);
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#ifdef __cplusplus
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}
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#endif
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