I'd like to use the sparse resnet model. I have downloaded the model from "SkimCaffe/models/resnet/ResNet-50-model.caffemodel.bz2" and loaded it using caffe c++ interface. But when iterating the entry of convolution parameters, I find it seems no entry has the exact 0 value. Instead, the values are very small and close to 0.
So I'd like to know if there is some threasholds. Or I downloaded the wrong model.
Steps to reproduce
download the model from "SkimCaffe/models/resnet/ResNet-50-model.caffemodel.bz2" and unzip it.
load the model using caffe c++ interface
/**
* Parse the caffemodel based on the model path.
**/
bool ParseCaffeModel(const string&caffemodel_path, caffe::NetParameter¶m){
//use coded stream to increase the size limit.
int fd = open(caffemodel_path.c_str(), O_RDONLY);
if(fd == -1){
cerr<<"failed to parse caffemodel:"<<caffemodel_path<<endl;
return false;
}
ZeroCopyInputStream* raw_input = new FileInputStream(fd);
CodedInputStream* coded_input = new CodedInputStream(raw_input);
coded_input->SetTotalBytesLimit(1024*1024*512, 1024*1024*256);
param.ParseFromCodedStream(coded_input);
delete coded_input;
delete raw_input;
close(fd);
return true;
}
iterate the entries
//find convolution layers and get weight blob
caffe::BlobProto weights = layer.blobs(0);
for(int k=0; k<filter_number; k+=1){
const float*data = weights.mutable_data()->data()+k*filter_size;
for(int i=0; i<filter_size; i+=1){
float val = data[i];
cout<<"val "<<i<<":"<<val<<endl;
if( val == static_cast<float>(0) ){
zero_count += 1;
}else{
//record the coordinate
coos.push_back(make_pair(k,i));
}
}
}
//layer type information, layer name
cout<<layer.type()<<","<<layer.name()<<","<<zero_count<<endl;
Issue summary
I'd like to use the sparse resnet model. I have downloaded the model from "SkimCaffe/models/resnet/ResNet-50-model.caffemodel.bz2" and loaded it using caffe c++ interface. But when iterating the entry of convolution parameters, I find it seems no entry has the exact 0 value. Instead, the values are very small and close to 0.
So I'd like to know if there is some threasholds. Or I downloaded the wrong model.
Steps to reproduce
load the model using caffe c++ interface
the nnz_count is zero.
Your system configuration
Operating system: Ubuntu 16.04 Compiler: gcc (Ubuntu 5.4.0-6ubuntu1~16.04.10) 5.4.0 20160609