зеркало из https://github.com/microsoft/caffe.git
Replace CPU timer with newly added Timer to benchmark net speed
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263ceea2e7
Коммит
cd84539806
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@ -1,31 +1,29 @@
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// Copyright 2013 Yangqing Jia
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#include <ctime>
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#include <string>
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#include <vector>
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#include <cuda_runtime.h>
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#include <fcntl.h>
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#include <google/protobuf/text_format.h>
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#include "cuda_runtime.h"
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#include "fcntl.h"
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#include "google/protobuf/text_format.h"
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#include <cstring>
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#include <ctime>
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#include "caffe/blob.hpp"
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#include "caffe/common.hpp"
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#include "caffe/net.hpp"
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#include "caffe/filler.hpp"
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#include "caffe/proto/caffe.pb.h"
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#include "caffe/util/benchmark.hpp"
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#include "caffe/util/io.hpp"
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#include "caffe/solver.hpp"
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using boost::shared_ptr;
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using namespace caffe; // NOLINT(build/namespaces)
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using namespace caffe;
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int main(int argc, char** argv) {
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int total_iter = 50;
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if (argc < 2) {
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LOG(ERROR) << "net_speed_benchmark net_proto [iterations=50] [CPU/GPU] "
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<< "[Device_id=0]";
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LOG(ERROR) << "net_speed_benchmark net_proto [iterations=50] [CPU/GPU] [Device_id=0]";
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return 0;
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}
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@ -67,52 +65,38 @@ int main(int argc, char** argv) {
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vector<vector<Blob<float>*> >& bottom_vecs = caffe_net.bottom_vecs();
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vector<vector<Blob<float>*> >& top_vecs = caffe_net.top_vecs();
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LOG(ERROR) << "*** Benchmark begins ***";
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if (Caffe::mode() == Caffe::GPU) {
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cudaDeviceSynchronize();
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}
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clock_t forward_start = clock();
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Timer total_timer;
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total_timer.Start();
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Timer forward_timer;
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forward_timer.Start();
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Timer timer;
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for (int i = 0; i < layers.size(); ++i) {
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const string& layername = layers[i]->layer_param().name();
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if (Caffe::mode() == Caffe::GPU) {
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cudaDeviceSynchronize();
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}
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clock_t start = clock();
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timer.Start();
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for (int j = 0; j < total_iter; ++j) {
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layers[i]->Forward(bottom_vecs[i], &top_vecs[i]);
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}
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if (Caffe::mode() == Caffe::GPU) {
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cudaDeviceSynchronize();
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}
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LOG(ERROR) << layername << "\tforward: "
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<< static_cast<float>(clock() - start) / CLOCKS_PER_SEC
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<< " seconds.";
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timer.Stop();
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LOG(ERROR) << layername << "\tforward: " << timer.ElapsedSeconds() << " seconds.";
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}
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LOG(ERROR) << "Forward pass: "
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<< static_cast<float>(clock() - forward_start) / CLOCKS_PER_SEC
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<< " seconds.";
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clock_t backward_start = clock();
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forward_timer.Stop();
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LOG(ERROR) << "Forward pass: " << forward_timer.ElapsedSeconds() << " seconds.";
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Timer backward_timer;
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backward_timer.Start();
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for (int i = layers.size() - 1; i >= 0; --i) {
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const string& layername = layers[i]->layer_param().name();
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if (Caffe::mode() == Caffe::GPU) {
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cudaDeviceSynchronize();
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}
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clock_t start = clock();
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timer.Start();
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for (int j = 0; j < total_iter; ++j) {
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layers[i]->Backward(top_vecs[i], true, &bottom_vecs[i]);
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}
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if (Caffe::mode() == Caffe::GPU) {
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cudaDeviceSynchronize();
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}
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timer.Stop();
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LOG(ERROR) << layername << "\tbackward: "
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<< static_cast<float>(clock() - start) / CLOCKS_PER_SEC
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<< " seconds.";
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<< timer.ElapsedSeconds() << " seconds.";
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}
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LOG(ERROR) << "Backward pass: "
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<< static_cast<float>(clock() - backward_start) / CLOCKS_PER_SEC
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<< " seconds.";
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LOG(ERROR) << "Total Time: "
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<< static_cast<float>(clock() - forward_start) / CLOCKS_PER_SEC
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<< " seconds.";
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backward_timer.Stop();
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LOG(ERROR) << "Backward pass: " << backward_timer.ElapsedSeconds() << " seconds.";
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total_timer.Stop();
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LOG(ERROR) << "Total Time: " << total_timer.ElapsedSeconds() << " seconds.";
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LOG(ERROR) << "*** Benchmark ends ***";
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return 0;
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}
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