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68 lines
1.9 KiB
C++
68 lines
1.9 KiB
C++
/**
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* @Description :
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* @Author : chenht2022
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* @Date : 2024-07-12 10:07:58
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* @Version : 1.0.0
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* @LastEditors : chenht2022
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* @LastEditTime : 2024-07-25 10:35:00
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* @Copyright (c) 2024 by KVCache.AI, All Rights Reserved.
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**/
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#ifndef CPUINFER_OPERATOR_LINEAR_H
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#define CPUINFER_OPERATOR_LINEAR_H
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#include <cmath>
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#include <cstdio>
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#include <functional>
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#include <mutex>
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#include <vector>
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#include "../../cpu_backend/shared_mem_buffer.h"
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#include "../../cpu_backend/worker_pool.h"
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#include "conversion.h"
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#include "llama.cpp/ggml-impl.h"
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#include "llama.cpp/ggml-quants.h"
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#include "llama.cpp/ggml.h"
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#include "llamafile/sgemm.h"
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struct LinearConfig {
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int input_size;
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int output_size;
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int stride;
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int group_max_len;
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void* proj;
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ggml_type proj_type;
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ggml_type hidden_type;
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LinearConfig() {}
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LinearConfig(int input_size, int output_size, int stride, int group_max_len, void* proj, ggml_type proj_type,
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ggml_type hidden_type)
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: input_size(input_size),
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output_size(output_size),
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stride(stride),
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group_max_len(group_max_len),
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proj(proj),
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proj_type(proj_type),
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hidden_type(hidden_type) {}
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};
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class Linear {
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public:
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Linear(LinearConfig);
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~Linear();
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void warm_up(WorkerPool* backend);
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void forward_many(int qlen, const void* input, void* output, WorkerPool* backend);
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void forward(int qlen, const void* input, void* output, WorkerPool* backend);
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private:
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LinearConfig config_;
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void* proj_; // [output_size * input_size ( /32 if quantized)]
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float* input_fp32_; // [group_max_len * input_size]
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uint8_t* proj_input_; // [group_max_len * input_size *
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// ggml_type_size(ggml_internal_get_type_traits(proj_type).vec_dot_type) /
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// ggml_blck_size(ggml_internal_get_type_traits(proj_type).vec_dot_type)]
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float* proj_output_; // [group_max_len * output_size]
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};
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#endif |