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// includes, system
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <time.h>
// includes, project
#include <cutil.h>
//#define NUM 10
// includes, kernels
#include <NN_kernel.cu>
////////////////////////////////////////////////////////////////////////////////
// declaration, forward
extern "C"
void computeGold(float*, const float*, const float*, unsigned int, unsigned int, unsigned int);
void NeuralNetwork();
unsigned g_verbose;
unsigned NUM;
////////////////////////////////////////////////////////////////////////////////
// Program main
////////////////////////////////////////////////////////////////////////////////
int
main(int argc, char** argv)
{
int i, commandline_error;
commandline_error = 0;
g_verbose = 0;
if (argc >= 2) {
NUM = atoi(argv[1]);
for (i=2; i < argc;i++) {
if (argv[i][0] == '-') {
switch (argv[i][1]) {
case 'v': g_verbose = 1;
break;
default: commandline_error=1;
}
}
else commandline_error=1;
}
} else commandline_error=1;
if (commandline_error || !NUM) {
printf("Usage: ./NN <NUM> [-v]\n");
printf("where NUM is the number of images to process in parallel (up to 10000 for the t10k-images-idx3-ubyte database file) and -v is used to display approximately what each image looks like.\n");
return 1;
}
NeuralNetwork();
//CUT_EXIT(argc, argv);
}
void InitGPUMem(float *Layer1_Neurons_GPU,float *Layer1_Weights_GPU,float *Layer2_Neurons_GPU,float *Layer2_Weights_GPU,float *Layer3_Neurons_GPU,float *Layer3_Weights_GPU,float *Layer4_Neurons_GPU,float *Layer4_Weights_GPU,float *Layer5_Neurons_GPU)
{
CUDA_SAFE_CALL(cudaMalloc((void**) &Layer1_Neurons_GPU, sizeof(float)*29*29*NUM));
CUDA_SAFE_CALL(cudaMalloc((void**) &Layer1_Weights_GPU, sizeof(float)*156));
CUDA_SAFE_CALL(cudaMalloc((void**) &Layer2_Neurons_GPU, sizeof(float)*13*13*6*NUM));
CUDA_SAFE_CALL(cudaMalloc((void**) &Layer2_Weights_GPU, sizeof(float)*7800));
CUDA_SAFE_CALL(cudaMalloc((void**) &Layer3_Neurons_GPU, sizeof(float)*1250*NUM));
CUDA_SAFE_CALL(cudaMalloc((void**) &Layer3_Weights_GPU, sizeof(float)*125100));
CUDA_SAFE_CALL(cudaMalloc((void**) &Layer4_Neurons_GPU, sizeof(float)*100*NUM));
CUDA_SAFE_CALL(cudaMalloc((void**) &Layer4_Weights_GPU, sizeof(float)*1010));
CUDA_SAFE_CALL(cudaMalloc((void**) &Layer5_Neurons_GPU, sizeof(float)*10*NUM));
}
void InitHostMem(float *Layer1_Weights_CPU,float *Layer2_Weights_CPU,float *Layer3_Weights_CPU,float *Layer4_Weights_CPU)
{
// initial layer 1 weight
FILE * pFile1 = fopen ("data/lw1.wei","rb");
if (pFile1 != NULL)
{
for(int i=0;i<156;++i){
fread(&(Layer1_Weights_CPU[i]),sizeof(float),1,pFile1);
//printf("Layer1_Weights_CPU[%d]=%f\n", i, Layer1_Weights_CPU[i]);
}
fclose (pFile1);
}
// initial layer 2 weight
FILE * pFile2 = fopen ("data/lw2.wei","rb");
if (pFile2 != NULL)
{
fread(Layer2_Weights_CPU,sizeof(float),7800,pFile2);
fclose (pFile2);
}
// initial layer 3 weight
FILE * pFile3 = fopen ("data/lw3.wei","rb");
if (pFile3 != NULL)
{
fread(Layer3_Weights_CPU,sizeof(float),125100,pFile3);
fclose (pFile3);
}
// initial layer 4 weight
FILE * pFile4 = fopen ("data/lw4.wei","rb");
if (pFile4 != NULL)
{
fread(Layer4_Weights_CPU,sizeof(float),1010,pFile4);
fclose (pFile4);
}
if (!(pFile1 && pFile2 && pFile3 && pFile4))
{
printf("FAIL! INPUT WEIGHTS NOT FOUND!\n");
exit(1);
}
}
int swapEndianInt( int bEnum )
{
int lEnum;
char *lE = (char*) &lEnum;
char *bE = (char*) &bEnum;
lE[0] = bE[3];
lE[1] = bE[2];
lE[2] = bE[1];
lE[3] = bE[0];
return lEnum;
}
void readIn(float *layer1)
{
FILE *fp;
unsigned int *foo;
unsigned int i,j;
foo = (unsigned int *) calloc(sizeof(unsigned int),1);
//unsigned char image[29*29*NUM];
unsigned char* image = (unsigned char*) malloc(29*29*NUM * sizeof(char));
for (i=0;i<(29*29*NUM);i++) image[i]=0;
fp=fopen("data/t10k-images-idx3-ubyte","rt");
//fp=fopen("in.neu","rb");
if(fp)
{
fread(foo,sizeof(int),1,fp);
printf("magic number = %d\n", swapEndianInt(foo[0]));
fread(foo,sizeof(int),1,fp);
printf("number of items = %d\n", swapEndianInt(foo[0]));
fread(foo,sizeof(int),1,fp);
printf("number of rows = %d\n", swapEndianInt(foo[0]));
fread(foo,sizeof(int),1,fp);
printf("number of rows = %d\n", swapEndianInt(foo[0]));
for (j=0;j<NUM;j++) {
for (i=0;i<28;i++)
fread((image+i*29+j*29*29),sizeof(char),28,fp);
}
//fread(layer1,sizeof(float),29*29,fp);
fclose(fp);
for (i=0;i<(29*29*NUM);i++)
layer1[i] = (1.0 - (float) image[i]/256);
}
else
{
printf("FAIL! data/t10k-images-idx3-ubyte NOT FOUND!\n");
exit(1);
}
}
void output(double *final)
{
int i;
FILE *fp=0;
fp=fopen("out.res","wb");
if(fp)
{
//for(i=0;i<10;i++) {
// printf("output[%d] = %e\n", i, final[i]);
//}
fwrite(final,sizeof(double),10,fp);
fclose(fp);
}
}
void NeuralNetwork()
{
int x,y;
// initialise card and timer
int deviceCount;
CUDA_SAFE_CALL_NO_SYNC(cudaGetDeviceCount(&deviceCount));
if (deviceCount == 0) {
fprintf(stderr, "There is no device.\n");
exit(EXIT_FAILURE);
}
int dev;
for (dev = 0; dev < deviceCount; ++dev) {
cudaDeviceProp deviceProp;
CUDA_SAFE_CALL_NO_SYNC(cudaGetDeviceProperties(&deviceProp, dev));
if (deviceProp.major >= 1)
break;
}
if (dev == deviceCount) {
fprintf(stderr, "There is no device supporting CUDA.\n");
exit(EXIT_FAILURE);
}
else
CUDA_SAFE_CALL(cudaSetDevice(dev));
//float Layer1_Neurons_CPU[29*29*NUM];
float *Layer1_Neurons_CPU = (float*) malloc (29*29*NUM * sizeof(float));
/*={
1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,0,0,0,1,1,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,0,0,1,1,1,1,1,1,0,0,0,1,1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,1,1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,1,1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,1,1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,1,1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,1,1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,1,1,1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,1,1,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1};*/
readIn(Layer1_Neurons_CPU);
if (g_verbose) {
for(y=0;y< 29*NUM;y++) {
if(!(y%29)) printf("\n");
for (x=0;x<29;x++) {
if (Layer1_Neurons_CPU[y*29+x]<0.5) {
printf("0");
}
else printf(" ");
//printf("%d", (Layer1_Neurons_CPU[y*29+x]>0.5));
}
printf("\n");
}
}
float *Layer1_Neurons_GPU;
float Layer1_Weights_CPU[156];
float *Layer1_Weights_GPU;
float Layer2_Weights_CPU[7800];
float *Layer2_Weights_GPU;
float *Layer2_Neurons_GPU;
float Layer3_Weights_CPU[125100];
float *Layer3_Weights_GPU;
float *Layer3_Neurons_GPU;
float Layer4_Weights_CPU[1010];
float *Layer4_Weights_GPU;
float *Layer4_Neurons_GPU;
//float Layer5_Neurons_CPU[10*NUM];//={0,0,0,0,0,0,0,0,0,0};
float *Layer5_Neurons_CPU = (float*) malloc(10*NUM * sizeof(float));
for (x=0;x<10*NUM;x++) Layer5_Neurons_CPU[x]=0;
float *Layer5_Neurons_GPU;
double *outputLayer;
//unsigned int timer = 0;
//float totaltime = 0.0f;
//init input here
InitHostMem(Layer1_Weights_CPU,Layer2_Weights_CPU,Layer3_Weights_CPU,Layer4_Weights_CPU);
//allocate momory on Device
//InitGPUMem(Layer1_Neurons_GPU,Layer1_Weights_GPU,Layer2_Neurons_GPU,Layer2_Weights_GPU,Layer3_Neurons_GPU,Layer3_Weights_GPU,Layer4_Neurons_GPU,Layer4_Weights_GPU,Layer5_Neurons_GPU);
CUDA_SAFE_CALL(cudaMalloc((void**) &Layer1_Neurons_GPU, sizeof(float)*29*29*NUM));
CUDA_SAFE_CALL(cudaMalloc((void**) &Layer1_Weights_GPU, sizeof(float)*156));
CUDA_SAFE_CALL(cudaMalloc((void**) &Layer2_Neurons_GPU, sizeof(float)*13*13*6*NUM));
CUDA_SAFE_CALL(cudaMalloc((void**) &Layer2_Weights_GPU, sizeof(float)*7800));
CUDA_SAFE_CALL(cudaMalloc((void**) &Layer3_Neurons_GPU, sizeof(float)*1250*NUM));
CUDA_SAFE_CALL(cudaMalloc((void**) &Layer3_Weights_GPU, sizeof(float)*125100));
CUDA_SAFE_CALL(cudaMalloc((void**) &Layer4_Neurons_GPU, sizeof(float)*100*NUM));
CUDA_SAFE_CALL(cudaMalloc((void**) &Layer4_Weights_GPU, sizeof(float)*1010));
CUDA_SAFE_CALL(cudaMalloc((void**) &Layer5_Neurons_GPU, sizeof(float)*10*NUM));
outputLayer = (double*)malloc(sizeof(double)*10*NUM);
//init 29x29 handwritting array
// already done in "initial"
//copy from CPU to GPU
CUDA_SAFE_CALL(cudaMemcpy(Layer1_Neurons_GPU,Layer1_Neurons_CPU, sizeof(float)*29*29*NUM, cudaMemcpyHostToDevice));
CUDA_SAFE_CALL(cudaMemcpy(Layer1_Weights_GPU,Layer1_Weights_CPU, sizeof(float)*156, cudaMemcpyHostToDevice));
CUDA_SAFE_CALL(cudaMemcpy(Layer2_Weights_GPU,Layer2_Weights_CPU, sizeof(float)*7800, cudaMemcpyHostToDevice));
CUDA_SAFE_CALL(cudaMemcpy(Layer3_Weights_GPU,Layer3_Weights_CPU, sizeof(float)*125100, cudaMemcpyHostToDevice));
CUDA_SAFE_CALL(cudaMemcpy(Layer4_Weights_GPU,Layer4_Weights_CPU, sizeof(float)*1010, cudaMemcpyHostToDevice));
CUDA_SAFE_CALL(cudaMemcpy(Layer5_Neurons_GPU,Layer5_Neurons_CPU, sizeof(float)*10*NUM, cudaMemcpyHostToDevice));
// CUT_SAFE_CALL(cutCreateTimer(&timer));
// CUT_SAFE_CALL(cutStartTimer(timer));
printf("NUM=%d\n", NUM);
dim3 Layer1_Block(6,NUM,1);
dim3 Layer1_Thread(13,13);
executeFirstLayer<<<Layer1_Block,Layer1_Thread>>>(Layer1_Neurons_GPU,Layer1_Weights_GPU,Layer2_Neurons_GPU);
dim3 Layer2_Block(50,NUM,1);
dim3 Layer2_Thread(5,5);
executeSecondLayer<<<Layer2_Block,Layer2_Thread>>>(Layer2_Neurons_GPU, Layer2_Weights_GPU,Layer3_Neurons_GPU);
dim3 Layer3_Block(100,NUM,1);
dim3 Layer3_Thread(1,1);
executeThirdLayer<<<Layer3_Block,Layer3_Thread>>>(Layer3_Neurons_GPU, Layer3_Weights_GPU,Layer4_Neurons_GPU);
dim3 Layer4_Block(10,NUM,1);
dim3 Layer4_Thread(1,1);
executeFourthLayer<<<Layer4_Block,Layer4_Thread>>>(Layer4_Neurons_GPU,Layer4_Weights_GPU,Layer5_Neurons_GPU);
CUT_CHECK_ERROR("Kernel execution failed");
// CUT_SAFE_CALL(cutStopTimer(timer));
// totaltime = cutGetTimerValue(timer);
//copy from GPU to CPU
CUDA_SAFE_CALL(cudaMemcpy(Layer5_Neurons_CPU,Layer5_Neurons_GPU, sizeof(float)*10*NUM, cudaMemcpyDeviceToHost));
// stop and destroy timer
//printf("Processing time: %f (ms) \n", totaltime);
// CUT_SAFE_CALL(cutDeleteTimer(timer));
for(int a=0;a<10*NUM;a++)
{
//printf("output[%d]=%f\n", a, Layer5_Neurons_CPU[a]);
outputLayer[a] = (double)Layer5_Neurons_CPU[a];
if (!(a%10)) {
if (a) printf("%d ", y);
x=outputLayer[a];
y=0;
}
if (outputLayer[a]>x) {
x=outputLayer[a];
y=a%10;
}
}
printf("%d\n", y);
output(outputLayer);
/*
//float Layer4_Neurons_CPU[100*NUM];
float *Layer4_Neurons_CPU = (float*) malloc(100*NUM*sizeof(float));
CUDA_SAFE_CALL(cudaMemcpy(Layer4_Neurons_CPU,Layer4_Neurons_GPU,sizeof(float)*100,cudaMemcpyDeviceToHost));
FILE *fp=fopen("layer_4.neu","wb");
fwrite(Layer4_Neurons_CPU,sizeof(float),100*NUM,fp);
fclose(fp);
//float Layer3_Neurons_CPU[50*5*5*NUM];
float *Layer3_Neurons_CPU = (float*) malloc(50*5*5*NUM*sizeof(float));
CUDA_SAFE_CALL(cudaMemcpy(Layer3_Neurons_CPU,Layer3_Neurons_GPU,sizeof(float)*50*5*5,cudaMemcpyDeviceToHost));
fp=fopen("layer_3.neu","wb");
fwrite(Layer3_Neurons_CPU,sizeof(float),50*5*5*NUM,fp);
fclose(fp);
//float Layer2_Neurons_CPU[13*13*6*NUM];
float *Layer2_Neurons_CPU = (float*) malloc(13*13*6*NUM*sizeof(float));
CUDA_SAFE_CALL(cudaMemcpy(Layer2_Neurons_CPU,Layer2_Neurons_GPU,sizeof(float)*13*13*6,cudaMemcpyDeviceToHost));
fp=fopen("layer_2.neu","wb");
fwrite(Layer2_Neurons_CPU,sizeof(float),13*13*6*NUM,fp);
fclose(fp);
fp=fopen("layer_1.neu","wb");
fwrite(Layer1_Neurons_CPU,sizeof(float),29*29*NUM,fp);
fclose(fp); */
exit(0);
}
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