зеркало из https://github.com/microsoft/caffe.git
78 строки
2.5 KiB
C++
78 строки
2.5 KiB
C++
// This program takes in a trained network and an input blob, and then dumps
|
|
// all the intermediate blobs produced by the net to individual binary
|
|
// files stored in protobuffer binary formats.
|
|
// Usage:
|
|
// dump_network input_net_param trained_net_param
|
|
// input_blob output_prefix 0/1
|
|
// if input_net_param is 'none', we will directly load the network from
|
|
// trained_net_param. If the last argv is 1, we will do a forward-backward pass
|
|
// before dumping everyting, and also dump the who network.
|
|
|
|
#include <string>
|
|
#include <vector>
|
|
|
|
#include "fcntl.h"
|
|
#include "google/protobuf/text_format.h"
|
|
|
|
#include "caffe/blob.hpp"
|
|
#include "caffe/common.hpp"
|
|
#include "caffe/filler.hpp"
|
|
#include "caffe/net.hpp"
|
|
#include "caffe/proto/caffe.pb.h"
|
|
#include "caffe/solver.hpp"
|
|
#include "caffe/util/io.hpp"
|
|
|
|
using namespace caffe; // NOLINT(build/namespaces)
|
|
|
|
int main(int argc, char** argv) {
|
|
Caffe::set_mode(Caffe::GPU);
|
|
Caffe::set_phase(Caffe::TEST);
|
|
|
|
shared_ptr<Net<float> > caffe_net;
|
|
if (strcmp(argv[1], "none") == 0) {
|
|
// We directly load the net param from trained file
|
|
caffe_net.reset(new Net<float>(argv[2]));
|
|
} else {
|
|
caffe_net.reset(new Net<float>(argv[1]));
|
|
}
|
|
caffe_net->CopyTrainedLayersFrom(argv[2]);
|
|
|
|
vector<Blob<float>* > input_vec;
|
|
shared_ptr<Blob<float> > input_blob(new Blob<float>());
|
|
if (strcmp(argv[3], "none") != 0) {
|
|
BlobProto input_blob_proto;
|
|
ReadProtoFromBinaryFile(argv[3], &input_blob_proto);
|
|
input_blob->FromProto(input_blob_proto);
|
|
input_vec.push_back(input_blob.get());
|
|
}
|
|
|
|
string output_prefix(argv[4]);
|
|
// Run the network without training.
|
|
LOG(ERROR) << "Performing Forward";
|
|
caffe_net->Forward(input_vec);
|
|
if (argc > 5 && strcmp(argv[5], "1") == 0) {
|
|
LOG(ERROR) << "Performing Backward";
|
|
Caffe::set_phase(Caffe::TRAIN);
|
|
caffe_net->Backward();
|
|
// Dump the network
|
|
NetParameter output_net_param;
|
|
caffe_net->ToProto(&output_net_param, true);
|
|
WriteProtoToBinaryFile(output_net_param,
|
|
output_prefix + output_net_param.name());
|
|
}
|
|
// Now, let's dump all the layers
|
|
|
|
const vector<string>& blob_names = caffe_net->blob_names();
|
|
const vector<shared_ptr<Blob<float> > >& blobs = caffe_net->blobs();
|
|
for (int blobid = 0; blobid < caffe_net->blobs().size(); ++blobid) {
|
|
// Serialize blob
|
|
LOG(ERROR) << "Dumping " << blob_names[blobid];
|
|
BlobProto output_blob_proto;
|
|
blobs[blobid]->ToProto(&output_blob_proto);
|
|
WriteProtoToBinaryFile(output_blob_proto,
|
|
output_prefix + blob_names[blobid]);
|
|
}
|
|
|
|
return 0;
|
|
}
|