ONNXWrapper.h

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#ifndef ONNXUtils_h
#define ONNXUtils_h
 
// STL includes
#include <string>
#include <vector>
#include <map>
 
// Asg tool includes
#include "PathResolver/PathResolver.h"
 
// ONNX Library
#include <onnxruntime_cxx_api.h>
 
 
class ONNXWrapper {
 
  private:
 
    // Class properties
    std::string m_modelName; // Path to the onnx file
    std::string m_modelPath; // Output of the path resolver
 
    // Features of the network structure
 
    // input and output nodes
    size_t m_nr_inputs;
    size_t m_nr_output;
 
    // dimensions of the input and output
    std::map<std::string, std::vector<int64_t>> m_input_dims;
    std::map<std::string, std::vector<int64_t>> m_output_dims;
 
 
    // ONNX session objects
    std::unique_ptr<Ort::Session> m_onnxSession;
    std::unique_ptr< Ort::Env > m_onnxEnv;
 
    // onnx session options
    Ort::SessionOptions m_session_options;
    Ort::AllocatorWithDefaultOptions m_allocator;
 
    // allocate memory
 
    // name of the outputs
    std::vector<const char*> m_output_names;
    std::vector<const char*> m_input_names;
    const std::vector<int64_t> getShape(Ort::TypeInfo model_info);
 
  public:
    // Constructor with parameters
 
    ONNXWrapper(const std::string model_path);
 
    std::map<std::string, std::vector<float>> Run(
      std::map<std::string,
      std::vector<float>> inputs,
      int n_batches=1);
 
    const std::map<std::string, std::vector<int64_t>> GetModelInputs();
    const std::map<std::string, std::vector<int64_t>> GetModelOutputs();
 
    const std::map<std::string, std::string> GetMETAData();
    std::string GetMETADataByKey(const char * key);
    const std::vector<int64_t>& getInputShape(int input_nr);
    const std::vector<int64_t>& getOutputShape(int output_nr);
    const std::vector<const char*>& getInputNames();
    const std::vector<const char*>& getOutputNames();
    int getNumInputs() const;
    int getNumOutputs() const;
};
 
#endif