protobuf解析onnx模型结构
问题遇到的现象和发生背景
问题相关代码，请勿粘贴截图
onnx::ModelProto model_data;
std::string filedir="C:/Users/DH/Desktop/1/detect.onnx";
int fd=google::protobuf::io::win32::open(filedir.c_str(),O_RDONLY);
FileInputStream* raw_input = new FileInputStream(fd);
CodedInputStream* coded_input = new CodedInputStream(raw_input);
coded_input->SetTotalBytesLimit(INT_MAX);
google::protobuf::MessageLite * proto;
proto=& model_data;
bool success = proto->ParseFromCodedStream(coded_input);
bool success1 = proto->ParseFromZeroCopyStream(raw_input);
// delete coded_input;
// delete raw_input;
//close(fd);
onnx::GraphProto graph = model_data.graph(); //访问graph结构
int num = graph.node_size(); //node节点个数
int input_size = graph.input_size(); //网络输入个数，input以及各层常量输入
for (int i = 0; i < input_size; ++i)
{
const std::string name = graph.input(i).name();
onnx::TypeProto type = graph.input(i).type();
onnx::TensorShapeProto shape = type.tensor_type().shape();//输入维度
for (int i = 0; i < shape.dim_size(); i++)
{
std::cout << shape.dim(i).dim_value();
std::cout<< std::endl;
}
}
int output_size = graph.output_size(); //网络output个数
for (int i = 0; i < num; i++) //遍历每个node结构
{
const onnx::NodeProto node = graph.node(i);
std::string node_name = node.name();
std::cout <<"cur node name:"<< node_name << std::endl;
const ::google::protobuf::RepeatedPtrField< ::onnx::AttributeProto> attr = node.attribute(); //每个node结构的参数信息
const std::string type = node.op_type();
int in_size = node.input_size();
int out_size = node.output_size();
}
运行结果及报错内容
读取模型graph空的，读出来的inputsize为0，是哪里出错了，使用proto3