mirror of https://github.com/alibaba/MNN.git
38 lines
1.2 KiB
C++
38 lines
1.2 KiB
C++
//
|
|
// Arm82OptFunc.hpp
|
|
// MNN
|
|
//
|
|
// Created by MNN on 2019/02/06.
|
|
// Copyright © 2018, Alibaba Group Holding Limited
|
|
//
|
|
#if defined(__ANDROID__) || defined(__aarch64__)
|
|
|
|
#ifndef Arm82OptFunc_hpp
|
|
#define Arm82OptFunc_hpp
|
|
|
|
#include "Arm82Backend.hpp"
|
|
#include "core/Macro.h"
|
|
|
|
void Arm82MNNGetMatMulPackMode(int* eP, int *lP, int* hP);
|
|
void Arm82MNNExp(FLOAT16* dst, const FLOAT16* src, size_t dataSize);
|
|
void MNNQuantizeFP16(const float* src, int16_t* dst, size_t size);
|
|
void MNNDequantizeFP16(const int16_t* src, float* dst, size_t size);
|
|
extern "C" {
|
|
void MNNPackC8FP16(int16_t* dest, const int16_t* source, size_t area, size_t depth, int32_t* areaOffset);
|
|
void MNNUnPackC8FP16(int16_t* dest, const int16_t* source, size_t area, size_t depth, int32_t* areaOffset);
|
|
}
|
|
// nc4hw4 to nc8hw8(aka fp32 -> fp16), convete dataformat and data type
|
|
void MNNNC4HW4TONC8HW8(FLOAT16* dest, const float* source, size_t plane, size_t channel);
|
|
// nc8hw8 to nc4hw4(aka fp16 -> fp32)
|
|
void MNNNC8HW8TONC4HW4(float* dest, const FLOAT16* source, size_t plane, size_t channel);
|
|
|
|
template<typename T, typename U>
|
|
void MNNSlowCopy(T* dst, const U* src, size_t size) {
|
|
for (int i = 0; i < size; ++i) {
|
|
dst[i] = (T)src[i];
|
|
}
|
|
}
|
|
|
|
#endif // Arm82OptFunc_hpp
|
|
#endif
|