基于PYNQ的神经网络硬件加速（一）pool实现_hls硬件加速方案指令

pool_core.h

#ifndef __POOL_CORE_H__
#define __POOL_CORE_H__
 
#include <ap_int.h>
#include <iostream>
 
typedef float Dtype_f;
 
void Pool(ap_uint<16> CHin,ap_uint<16> Hin,ap_uint<16> Win,
		ap_uint<8> Kx,ap_uint<8> Ky,ap_uint<2> mode,
		Dtype_f feature_in[],Dtype_f feature_out[]
	);//mode: 0:MEAN, 1:MIN, 2:MAX
 
#endif

pool_core.cpp

#include "pool_core.h"
 
#define max(a,b) ((a>b)?a:b)
#define min(a,b) ((a>b)?b:a)
 
void Pool(ap_uint<16> CHin,ap_uint<16> Hin,ap_uint<16> Win,
		ap_uint<8> Kx,ap_uint<8> Ky,ap_uint<2> mode,
		Dtype_f feature_in[],Dtype_f feature_out[]
	)//mode: 0:MEAN, 1:MIN, 2:MAX
{
	#pragma HLS INTERFACE m_axi depth=4294967295 port=feature_out offset=slave
	#pragma HLS INTERFACE m_axi depth=4294967295 port=feature_in offset=slave
	#pragma HLS INTERFACE s_axilite port