#include <time.h>
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#include <stdlib.h>
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#include <stdio.h>
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#include "parser.h"
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#include "utils.h"
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#include "cuda.h"
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#define _GNU_SOURCE
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#include <fenv.h>
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extern void run_imagenet(int argc, char **argv);
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extern void run_detection(int argc, char **argv);
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extern void run_captcha(int argc, char **argv);
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void convert(char *cfgfile, char *outfile, char *weightfile)
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{
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network net = parse_network_cfg(cfgfile);
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if(weightfile){
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load_weights(&net, weightfile);
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}
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save_network(net, outfile);
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}
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void del_arg(int argc, char **argv, int index)
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{
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int i;
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for(i = index; i < argc-1; ++i) argv[i] = argv[i+1];
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argv[i] = 0;
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}
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int find_arg(int argc, char* argv[], char *arg)
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{
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int i;
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for(i = 0; i < argc; ++i) {
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if(!argv[i]) continue;
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if(0==strcmp(argv[i], arg)) {
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del_arg(argc, argv, i);
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return 1;
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}
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}
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return 0;
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}
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int find_int_arg(int argc, char **argv, char *arg, int def)
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{
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int i;
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for(i = 0; i < argc-1; ++i){
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if(!argv[i]) continue;
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if(0==strcmp(argv[i], arg)){
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def = atoi(argv[i+1]);
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del_arg(argc, argv, i);
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del_arg(argc, argv, i);
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break;
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}
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}
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return def;
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}
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void scale_rate(char *filename, float scale)
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{
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// Ready for some weird shit??
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FILE *fp = fopen(filename, "r+b");
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if(!fp) file_error(filename);
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float rate = 0;
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fread(&rate, sizeof(float), 1, fp);
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printf("Scaling learning rate from %f to %f\n", rate, rate*scale);
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rate = rate*scale;
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fseek(fp, 0, SEEK_SET);
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fwrite(&rate, sizeof(float), 1, fp);
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fclose(fp);
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}
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int main(int argc, char **argv)
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{
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//test_convolutional_layer();
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if(argc < 2){
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fprintf(stderr, "usage: %s <function>\n", argv[0]);
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return 0;
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}
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gpu_index = find_int_arg(argc, argv, "-i", 0);
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if(find_arg(argc, argv, "-nogpu")) gpu_index = -1;
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#ifndef GPU
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gpu_index = -1;
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#else
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if(gpu_index >= 0){
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cudaSetDevice(gpu_index);
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}
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#endif
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if(0==strcmp(argv[1], "imagenet")){
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run_imagenet(argc, argv);
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} else if (0 == strcmp(argv[1], "detection")){
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run_detection(argc, argv);
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} else if (0 == strcmp(argv[1], "captcha")){
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run_captcha(argc, argv);
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}
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return 0;
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}
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