mirror of https://github.com/ollama/ollama.git
63 lines
2.6 KiB
C
63 lines
2.6 KiB
C
/**
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* llama.cpp - git d91f3f0c55663719ea03b76311e8c36ed55eb0e2
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*
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* MIT License
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*
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* Copyright (c) 2023 Georgi Gerganov
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#pragma once
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#include "ggml.h"
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#ifdef __cplusplus
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extern "C" {
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#endif
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#define GGML_CUDA_MAX_DEVICES 16
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void ggml_init_cublas(void);
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void ggml_cuda_set_tensor_split(const float * tensor_split);
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void ggml_cuda_mul(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst);
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bool ggml_cuda_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst);
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size_t ggml_cuda_mul_mat_get_wsize(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst);
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void ggml_cuda_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst, void * wdata, size_t wsize);
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// TODO: export these with GGML_API
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void * ggml_cuda_host_malloc(size_t size);
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void ggml_cuda_host_free(void * ptr);
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void ggml_cuda_transform_tensor(void * data, struct ggml_tensor * tensor);
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void ggml_cuda_free_data(struct ggml_tensor * tensor);
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void ggml_cuda_assign_buffers(struct ggml_tensor * tensor);
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void ggml_cuda_assign_buffers_no_scratch(struct ggml_tensor * tensor);
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void ggml_cuda_assign_buffers_force_inplace(struct ggml_tensor * tensor);
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void ggml_cuda_set_main_device(int main_device);
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void ggml_cuda_set_scratch_size(size_t scratch_size);
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void ggml_cuda_free_scratch(void);
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bool ggml_cuda_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * tensor);
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#ifdef __cplusplus
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}
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#endif
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