// Copyright 2013 Yangqing Jia
-#include <ctime>
-#include <string>
-#include <vector>
+#include <cuda_runtime.h>
+#include <fcntl.h>
+#include <google/protobuf/text_format.h>
-#include "cuda_runtime.h"
-#include "fcntl.h"
-#include "google/protobuf/text_format.h"
+#include <cstring>
+#include <ctime>
#include "caffe/blob.hpp"
#include "caffe/common.hpp"
#include "caffe/net.hpp"
#include "caffe/filler.hpp"
#include "caffe/proto/caffe.pb.h"
+#include "caffe/util/benchmark.hpp"
#include "caffe/util/io.hpp"
#include "caffe/solver.hpp"
-using boost::shared_ptr;
-
-using namespace caffe; // NOLINT(build/namespaces)
+using namespace caffe;
int main(int argc, char** argv) {
+
int total_iter = 50;
if (argc < 2) {
- LOG(ERROR) << "net_speed_benchmark net_proto [iterations=50] [CPU/GPU] "
- << "[Device_id=0]";
+ LOG(ERROR) << "net_speed_benchmark net_proto [iterations=50] [CPU/GPU] [Device_id=0]";
return 0;
}
vector<vector<Blob<float>*> >& bottom_vecs = caffe_net.bottom_vecs();
vector<vector<Blob<float>*> >& top_vecs = caffe_net.top_vecs();
LOG(ERROR) << "*** Benchmark begins ***";
- if (Caffe::mode() == Caffe::GPU) {
- cudaDeviceSynchronize();
- }
- clock_t forward_start = clock();
+ Timer total_timer;
+ total_timer.Start();
+ Timer forward_timer;
+ forward_timer.Start();
+ Timer timer;
for (int i = 0; i < layers.size(); ++i) {
const string& layername = layers[i]->layer_param().name();
- if (Caffe::mode() == Caffe::GPU) {
- cudaDeviceSynchronize();
- }
- clock_t start = clock();
+ timer.Start();
for (int j = 0; j < total_iter; ++j) {
layers[i]->Forward(bottom_vecs[i], &top_vecs[i]);
}
- if (Caffe::mode() == Caffe::GPU) {
- cudaDeviceSynchronize();
- }
- LOG(ERROR) << layername << "\tforward: "
- << static_cast<float>(clock() - start) / CLOCKS_PER_SEC
- << " seconds.";
+ timer.Stop();
+ LOG(ERROR) << layername << "\tforward: " << timer.ElapsedSeconds() << " seconds.";
}
- LOG(ERROR) << "Forward pass: "
- << static_cast<float>(clock() - forward_start) / CLOCKS_PER_SEC
- << " seconds.";
- clock_t backward_start = clock();
+ forward_timer.Stop();
+ LOG(ERROR) << "Forward pass: " << forward_timer.ElapsedSeconds() << " seconds.";
+ Timer backward_timer;
+ backward_timer.Start();
for (int i = layers.size() - 1; i >= 0; --i) {
const string& layername = layers[i]->layer_param().name();
- if (Caffe::mode() == Caffe::GPU) {
- cudaDeviceSynchronize();
- }
- clock_t start = clock();
+ timer.Start();
for (int j = 0; j < total_iter; ++j) {
layers[i]->Backward(top_vecs[i], true, &bottom_vecs[i]);
}
- if (Caffe::mode() == Caffe::GPU) {
- cudaDeviceSynchronize();
- }
+ timer.Stop();
LOG(ERROR) << layername << "\tbackward: "
- << static_cast<float>(clock() - start) / CLOCKS_PER_SEC
- << " seconds.";
+ << timer.ElapsedSeconds() << " seconds.";
}
- LOG(ERROR) << "Backward pass: "
- << static_cast<float>(clock() - backward_start) / CLOCKS_PER_SEC
- << " seconds.";
- LOG(ERROR) << "Total Time: "
- << static_cast<float>(clock() - forward_start) / CLOCKS_PER_SEC
- << " seconds.";
+ backward_timer.Stop();
+ LOG(ERROR) << "Backward pass: " << backward_timer.ElapsedSeconds() << " seconds.";
+ total_timer.Stop();
+ LOG(ERROR) << "Total Time: " << total_timer.ElapsedSeconds() << " seconds.";
LOG(ERROR) << "*** Benchmark ends ***";
return 0;
}