onnxruntime/winml/lib/Api.Experimental/LearningModelOperator.h

#pragma once

#include "LearningModelOperator.g.h"
#include "TensorFeatureDescriptor.h"
#include "iengine.h"
#include "LearningModelBuilder.h"
#include "LearningModelInputs.h"

namespace WINML_EXPERIMENTALP {

struct LearningModelOperator : LearningModelOperatorT<LearningModelOperator> {
  LearningModelOperator() = delete;
  LearningModelOperator(hstring const& type);
  LearningModelOperator(hstring const& type, hstring const& domain);

  winml_experimental::LearningModelOperator SetName(hstring const& name);
  winml_experimental::LearningModelOperator SetInput(hstring const& operator_input_name, hstring const& input_name);
  winml_experimental::LearningModelOperator SetConstant(
    hstring const& operator_input_name, wf::IInspectable const& value
  );
  winml_experimental::LearningModelOperator SetOutput(hstring const& operator_output_name, hstring const& output_name);
  winml_experimental::LearningModelOperator SetAttribute(hstring const& name, wf::IInspectable const& value);
  hstring Name();
  hstring Type();
  hstring Domain();

  wfc::IMap<winrt::hstring, winrt::hstring> InputMapping();
  wfc::IMap<winrt::hstring, wf::IInspectable> ConstantInputMapping();
  wfc::IMap<winrt::hstring, winrt::hstring> OutputMapping();
  wfc::IMap<winrt::hstring, wf::IInspectable> AttributeMap();

 private:
  winrt::hstring name_;
  winrt::hstring domain_;
  winrt::hstring type_;

  wfc::IMap<winrt::hstring, wf::IInspectable> attribute_values_;
  wfc::IMap<winrt::hstring, wf::IInspectable> constant_input_mapping_;
  wfc::IMap<winrt::hstring, winrt::hstring> input_mapping_;
  wfc::IMap<winrt::hstring, winrt::hstring> output_mapping_;
};

}  // namespace WINML_EXPERIMENTALP

namespace WINML_EXPERIMENTAL::factory_implementation {

struct LearningModelOperator : LearningModelOperatorT<LearningModelOperator, implementation::LearningModelOperator> {};

}  // namespace WINML_EXPERIMENTAL::factory_implementation