void Blob<Dtype>::FromProto(const BlobProto& proto, bool reshape) {
if (reshape) {
vector<int> shape;
if (proto.has_num() || proto.has_channels() ||
proto.has_height() || proto.has_width()) {
// Using deprecated 4D Blob dimensions --
// shape is (num, channels, height, width).
shape.resize(4);
shape[0] = proto.num();
shape[1] = proto.channels();
shape[2] = proto.height();
shape[3] = proto.width();
} else {
shape.resize(proto.shape().dim_size());
for (int i = 0; i < proto.shape().dim_size(); ++i) {
shape[i] = proto.shape().dim(i);
}
}
Reshape(shape);
} else {
CHECK(ShapeEquals(proto)) << "shape mismatch (reshape not set)";
}
// copy data
Dtype* data_vec = mutable_cpu_data();
if (proto.double_data_size() > 0) {
CHECK_EQ(count_, proto.double_data_size());
for (int i = 0; i < count_; ++i) {
data_vec[i] = proto.double_data(i);
}
} else {
CHECK_EQ(count_, proto.data_size());
for (int i = 0; i < count_; ++i) {
data_vec[i] = proto.data(i);
}
}
if (proto.double_diff_size() > 0) {
CHECK_EQ(count_, proto.double_diff_size());
Dtype* diff_vec = mutable_cpu_diff();
for (int i = 0; i < count_; ++i) {
diff_vec[i] = proto.double_diff(i);
}
} else if (proto.diff_size() > 0) {
CHECK_EQ(count_, proto.diff_size());
Dtype* diff_vec = mutable_cpu_diff();
for (int i = 0; i < count_; ++i) {
diff_vec[i] = proto.diff(i);
}
}
}
void Blob<Dtype>::FromProto(const BlobProto& proto, const bool init_ps_table) {
Reshape(proto.num(), proto.channels(), proto.height(), proto.width());
if (blob_mode_ == BlobProto_BlobMode_GLOBAL) {
if (init_ps_table) { // initialize ps table
// update values in ps table
Dtype* data_vec = ReadPSTable(0);
for (int i = 0; i < count_; ++i) {
data_vec[i] = data_vec[i] - proto.data(i);
}
diff_->set_cpu_data(data_vec);
UpdatePSTable();
//TODO: 2016-6-16
//// fetch the newest values
//data_vec = ReadPSTable(0);
//data_->set_cpu_ps_data(data_vec);
}
} else {
//copy data
Dtype* data_vec = mutable_cpu_data();
for (int i = 0; i < count_; ++i) {
data_vec[i] = proto.data(i);
}
}
if (proto.diff_size() > 0) {
Dtype* diff_vec = mutable_cpu_diff();
for (int i = 0; i < count_; ++i) {
diff_vec[i] = proto.diff(i);
}
}
}
void Blob<Dtype>::FromProto(const BlobProto& proto, bool need_reshape = true){
//copy shape
if (need_reshape){
vector<int> shape;
shape.resize(proto.shape().dim_size());
for (int i = 0; i < shape.size(); i++)
shape[i] = proto.shape().dim(i);
reshape(shape);
}
if (proto.data_size()>0){
CHECK_EQ(proto.data_size(), count());
Dtype *data = mutable_cpu_data();
for (int i = 0; i < count_; i++) data[i] = proto.data(i);
}
if (proto.diff_size()>0){
CHECK_EQ(proto.diff_size(), count());
Dtype *diff = mutable_cpu_diff();
for (int i = 0; i < count_; i++) diff[i] = proto.diff(i);
}
}
void Blob<Dtype>::FromProto(const BlobProto& proto) {
Reshape(proto.num(), proto.channels(), proto.height(), proto.width());
// copy data
Dtype* data_vec = mutable_cpu_data();
for (int i = 0; i < count_; ++i) {
data_vec[i] = proto.data(i);
}
if (proto.diff_size() > 0) {
Dtype* diff_vec = mutable_cpu_diff();
for (int i = 0; i < count_; ++i) {
diff_vec[i] = proto.diff(i);
}
}
}
void Blob<Dtype>::FromProtoWithExtraCopy(const BlobProto& proto){
// reshape other dimention but remain the same number of channels;
Reshape(proto.num(), this->channels(), proto.height(), proto.width(), proto.depth());
// copy data
Dtype* data_vec = mutable_cpu_data();
int sourceDataSize =proto.data_size();
for (int i = 0; i < count_; ++i) {
data_vec[i] = proto.data(i%sourceDataSize);
}
if (proto.diff_size() > 0) {
Dtype* diff_vec = mutable_cpu_diff();
for (int i = 0; i < count_; ++i) {
diff_vec[i] = proto.diff(i%sourceDataSize);
}
}
}
void Blob<Dtype>::FromProtoFC2Conv(const BlobProto& proto){
// Note that we do not change the shape of taget layer blob (convolution)
// reshape other dimention but remain the same number of channels;
//Reshape(proto.num(), this->channels(), proto.height(), proto.width(), proto.depth());
// copy data
Dtype* data_vec = mutable_cpu_data();
size_t proto_count =proto.num()*proto.channels()*proto.height()*proto.width()*proto.depth();
CHECK_EQ(proto_count,count_);
for (size_t i = 0; i < count_; ++i) {
data_vec[i] = proto.data(i);
}
// LOG(INFO)<<"proto.diff_size= "<<proto.diff_size();
if (proto.diff_size() > 0) {
Dtype* diff_vec = mutable_cpu_diff();
for (size_t i = 0; i < count_; ++i) {
diff_vec[i] = proto.diff(i);
}
}
}
void Blob<Dtype>::FromProto(const BlobProto& proto) {
LOG(INFO)<<"FromProto size = "<<proto.num() <<" "<<proto.channels() << " "<<proto.height()<<" "<< proto.width()<<" "<< proto.depth();
if(proto.depth() ==0)
{
LOG(INFO)<< "proto depth is 0, converting to 1 for 2D models to 3D models...";
Reshape(proto.num(), proto.channels(), proto.height(), proto.width(), 1);
}else{
Reshape(proto.num(), proto.channels(), proto.height(), proto.width(), proto.depth());
}
// copy data
Dtype* data_vec = mutable_cpu_data();
/* for testing only
Dtype data_vec_sum=0;
for (int i = 0; i < count_; ++i) {
data_vec_sum=data_vec_sum+data_vec[i];
}
LOG(INFO)<<"bolb sum value = "<<data_vec_sum;
*/
for (size_t i = 0; i < count_; ++i) {
data_vec[i] = proto.data(i);
//LOG(INFO)<<"proto.data(i) ="<<proto.data(i);
}
//LOG(INFO)<<"proto.data[11870779] ="<<proto.data(11870779);
//sleep(20);
// LOG(INFO)<<"proto.diff_size= "<<proto.diff_size();
if (proto.diff_size() > 0) {
Dtype* diff_vec = mutable_cpu_diff();
for (size_t i = 0; i < count_; ++i) {
diff_vec[i] = proto.diff(i);
}
}
//if (Caffe::mode()==Caffe::GPU) {
// gpu_data();
// }
}