mirror of
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65 lines
2.3 KiB
C++
Vendored
65 lines
2.3 KiB
C++
Vendored
/**
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* llama.cpp - commit ba1cb19cdd0d92e012e0f6e009e0620f854b6afd - do not edit this file
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*
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* MIT License
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*
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* Copyright (c) 2023-2024 The ggml authors
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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-backend-impl.h"
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#include "ggml-cpu-impl.h"
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#include "ggml.h"
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#ifdef __cplusplus
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# include <vector>
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extern "C" {
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#endif
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// return true if op part of extra "accelerator"
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bool ggml_cpu_extra_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * op);
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bool ggml_cpu_extra_work_size(int n_threads, const struct ggml_tensor * op, size_t * size);
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#ifdef __cplusplus
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}
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namespace ggml::cpu {
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// register in tensor->extra
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class tensor_traits {
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public:
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virtual ~tensor_traits();
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virtual bool work_size(int n_threads, const struct ggml_tensor * op, size_t & size) = 0;
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virtual bool compute_forward(struct ggml_compute_params * params, struct ggml_tensor * op) = 0;
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};
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class extra_buffer_type {
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public:
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virtual ~extra_buffer_type();
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virtual bool supports_op(ggml_backend_dev_t dev, const struct ggml_tensor * op) = 0;
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virtual tensor_traits * get_tensor_traits(const struct ggml_tensor * op) = 0;
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};
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} // namespace ggml::cpu
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// implemented in ggml-cpu.cpp.
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std::vector<ggml_backend_buffer_type_t> & ggml_backend_cpu_get_extra_buffers_type();
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#endif
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