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// 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;
}
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