Skip to content

More detailed net_speed_benchmark #83

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
shelhamer merged 1 commit into from
Feb 7, 2014
Merged

More detailed net_speed_benchmark #83

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
41 changes: 35 additions & 6 deletions examples/net_speed_benchmark.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -18,11 +18,35 @@
using namespace caffe;

int main(int argc, char** argv) {
cudaSetDevice(0);
Caffe::set_mode(Caffe::GPU);
Caffe::set_phase(Caffe::TRAIN);
int repeat = 100;

int total_iter = 50;

if (argc < 2) {
LOG(ERROR) << "net_speed_benchmark net_proto [iterations=50] [CPU/GPU] [Device_id=0]";
return 0;
}

if (argc >=3) {
total_iter = atoi(argv[2]);
}

LOG(ERROR) << "Testing for " << total_iter << "Iterations.";

if (argc >= 4 && strcmp(argv[3], "GPU") == 0) {
LOG(ERROR) << "Using GPU";
uint device_id = 0;
if (argc >= 5 && strcmp(argv[3], "GPU") == 0) {
device_id = atoi(argv[4]);
}
LOG(ERROR) << "Using Device_id=" << device_id;
Caffe::SetDevice(device_id);
Caffe::set_mode(Caffe::GPU);
} else {
LOG(ERROR) << "Using CPU";
Caffe::set_mode(Caffe::CPU);
}

Caffe::set_phase(Caffe::TRAIN);
NetParameter net_param;
ReadProtoFromTextFile(argv[1],
&net_param);
Expand All @@ -40,24 +64,29 @@ int main(int argc, char** argv) {
vector<vector<Blob<float>*> >& bottom_vecs = caffe_net.bottom_vecs();
vector<vector<Blob<float>*> >& top_vecs = caffe_net.top_vecs();
LOG(ERROR) << "*** Benchmark begins ***";
clock_t forward_start = clock();
for (int i = 0; i < layers.size(); ++i) {
const string& layername = layers[i]->layer_param().name();
clock_t start = clock();
for (int j = 0; j < repeat; ++j) {
for (int j = 0; j < total_iter; ++j) {
layers[i]->Forward(bottom_vecs[i], &top_vecs[i]);
}
LOG(ERROR) << layername << "\tforward: "
<< float(clock() - start) / CLOCKS_PER_SEC << " seconds.";
}
LOG(ERROR) << "Forward pass: " << float(clock() - forward_start) / CLOCKS_PER_SEC << " seconds.";
clock_t backward_start = clock();
for (int i = layers.size() - 1; i >= 0; --i) {
const string& layername = layers[i]->layer_param().name();
clock_t start = clock();
for (int j = 0; j < repeat; ++j) {
for (int j = 0; j < total_iter; ++j) {
layers[i]->Backward(top_vecs[i], true, &bottom_vecs[i]);
}
LOG(ERROR) << layername << "\tbackward: "
<< float(clock() - start) / CLOCKS_PER_SEC << " seconds.";
}
LOG(ERROR) << "Backward pass: " << float(clock() - backward_start) / CLOCKS_PER_SEC << " seconds.";
LOG(ERROR) << "Total Time: " << float(clock() - forward_start) / CLOCKS_PER_SEC << " seconds.";
LOG(ERROR) << "*** Benchmark ends ***";
return 0;
}