mirror of
https://github.com/ggerganov/llama.cpp.git
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7b2f4a7d19
* separate DPCT helpers outside * replace global variables with context * remove useless extra * update mul_mat condition * remove duplicate buft initialization * remove duplicate extra and global work group size * remove useless backend check * remove duplicated extras * use macro for group_size and remove cuda-related
41 lines
1.4 KiB
C
41 lines
1.4 KiB
C
//
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// MIT license
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// Copyright (C) 2024 Intel Corporation
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// SPDX-License-Identifier: MIT
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//
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#pragma once
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#include "ggml.h"
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#include "ggml-backend.h"
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#include "ggml-sycl/presets.hpp"
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#ifdef __cplusplus
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extern "C" {
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#endif
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// backend API
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GGML_API ggml_backend_t ggml_backend_sycl_init(int device);
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// devide buffer
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GGML_API ggml_backend_buffer_type_t ggml_backend_sycl_buffer_type(int device);
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// split tensor buffer that splits matrices by rows across multiple devices
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GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_sycl_split_buffer_type(const float * tensor_split);
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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_backend_buffer_type_t ggml_backend_sycl_host_buffer_type(void);
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GGML_API void ggml_backend_sycl_print_sycl_devices(void);
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GGML_API GGML_CALL void ggml_sycl_get_gpu_list(int *id_list, int max_len);
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GGML_API GGML_CALL void ggml_sycl_get_device_description(int device, char *description, size_t description_size);
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GGML_API GGML_CALL int ggml_backend_sycl_get_device_count();
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GGML_API GGML_CALL void ggml_backend_sycl_get_device_memory(int device, size_t *free, size_t *total);
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// SYCL doesn't support registering host memory, keep here for reference
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// GGML_API GGML_CALL bool ggml_backend_sycl_register_host_buffer(void * buffer, size_t size);
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// GGML_API GGML_CALL void ggml_backend_sycl_unregister_host_buffer(void * buffer);
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#ifdef __cplusplus
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}
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#endif
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