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cnn.h
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#ifndef _CNN_H_
#define _CNN_H_
#include <fcntl.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include <unistd.h>
#include <assert.h>
#include <stdbool.h>
#include <sys/types.h>
#include <sys/stat.h>
#include <CL/opencl.h>
#include <time.h>
#include <sys/time.h>
#define NUM 256
#define INIMROW 228
#define IMROW 224
#define OUTIMROW 112
#define KERNEL 5
#define max(a,b) (a>b)?(a):(b)
int load_file_to_memory(const char *filename, char **result)
{
size_t size = 0;
FILE *f = fopen(filename, "rb");
if (f == NULL)
{
*result = NULL;
return -1; // -1 means file opening fail
}
fseek(f, 0, SEEK_END);
size = ftell(f);
fseek(f, 0, SEEK_SET);
*result = (char *)malloc(size+1);
if (size != fread(*result, sizeof(char), size, f))
{
free(*result);
return -2; // -2 means file reading fail
}
fclose(f);
(*result)[size] = 0;
return size;
}
float rcmp(float a, float b)
{
return fabs((a - b) / (a + b));
}
void LoadData(float Cin[NUM][INIMROW][INIMROW], float weight[NUM][NUM][KERNEL][KERNEL],
float bias[NUM])
{
fprintf(stderr, "start load input& weight\n");
FILE *fw, *fb, *fi;
fw = fopen("weight.bin", "rb");
fb = fopen("bias.bin", "rb");
float* t_bias = (float *)malloc(sizeof(float) * NUM);
float* t_wght = (float *)malloc(sizeof(float) * NUM * NUM * KERNEL * KERNEL);
fread(t_wght, NUM * NUM * KERNEL * KERNEL, sizeof(float), fw);
fread(t_bias, NUM, sizeof(float), fb);
for(int i = 0; i < NUM; i++) {
bias[i] = t_bias[i];
for(int j = 0; j < NUM; j++) {
for(int k = 0; k < KERNEL; k++) {
for(int s = 0; s < KERNEL; s++)
weight[i][j][k][s] = t_wght[i * NUM * KERNEL * KERNEL + j * KERNEL * KERNEL + k * KERNEL + s];
}
}
}
fprintf(stderr, "finish load weight\n");
free(t_bias);
free(t_wght);
fclose(fw);
fclose(fb);
float* t_in = (float *)malloc(sizeof(float) * NUM * INIMROW * INIMROW);
fi = fopen("input.bin", "rb");
fread(t_in, NUM * INIMROW * INIMROW, sizeof(float), fi);
for(int i = 0; i < NUM; i++) {
for(int j = 0; j < INIMROW; j++) {
for(int k = 0; k < INIMROW; k++)
Cin[i][j][k] = (float)t_in[i * INIMROW * INIMROW + j * INIMROW + k];
}
}
fprintf(stderr, "finish load Cin\n");
free(t_in);
fclose(fi);
}
int Verify(float Cout[NUM][OUTIMROW][OUTIMROW])
{
int error = 0;
FILE *fo;
fo = fopen("output.bin", "rb");
float* t_out = (float *)malloc(sizeof(float) * NUM * OUTIMROW * OUTIMROW);
fread(t_out, NUM * OUTIMROW * OUTIMROW, sizeof(float), fo);
for(int i = 0; i < NUM; i++) {
for(int j = 0; j < OUTIMROW; j++) {
for(int k = 0; k < OUTIMROW; k++) {
if(rcmp(Cout[i][j][k], t_out[i * OUTIMROW * OUTIMROW + j * OUTIMROW + k]) > 1e-3)
error++;
}
}
}
free(t_out);
fclose(fo);
return error;
}
// Sequential CNN implementation
void conv(float Cout[NUM][OUTIMROW][OUTIMROW], float Cin[NUM][INIMROW][INIMROW],
float weight[NUM][NUM][KERNEL][KERNEL], float bias[NUM])
{
static float C[NUM][IMROW][IMROW];
for(int i = 0; i < NUM; i++) {
for(int h = 0; h < IMROW; h++) {
for(int w = 0; w < IMROW; w++)
C[i][h][w] = bias[i];
}
}
// Convolution
for(int i = 0; i < NUM; i++) {
for(int j = 0; j < NUM; j++) {
for(int h = 0; h < IMROW; h++) {
for(int w = 0; w < IMROW; w++) {
for(int p = 0; p < KERNEL; p++) {
for(int q = 0; q < KERNEL; q++)
C[i][h][w] += weight[i][j][p][q] * Cin[j][h + p][w + q];
}
}
}
}
}
// ReLU
for (int i = 0; i < NUM; i++) {
for (int h = 0; h < IMROW; h++) {
for (int w = 0; w < IMROW; w++) {
C[i][h][w] = max(0, C[i][h][w]);
}
}
}
// Max pooling
for (int i = 0; i < NUM; i++) {
for (int h = 0; h < OUTIMROW; h++) {
for (int w = 0; w < OUTIMROW; w++) {
float local_max = C[i][2 * h][2 * w];
local_max = max(local_max, C[i][2 * h + 1][2 * w]);
local_max = max(local_max, C[i][2 * h + 1][2 * w + 1]);
local_max = max(local_max, C[i][2 * h][2 * w + 1]);
Cout[i][h][w] = local_max;
}
}
}
}
#endif