text: ﻿#include "lib/Api.Experimental/pch/pch.h"
  #include "LearningModelOperatorSet.h"
  #include "LearningModelOperator.h"
  
  #include "..\Api\inc\ILotusValueProviderPrivate.h"
  
  namespace WINML_EXPERIMENTALP {
  
  LearningModelOperatorSet::LearningModelOperatorSet(winml_experimental::LearningModelBuilder builder) :
      builder_(builder),
      operators_(winrt::single_threaded_vector<winml_experimental::LearningModelOperator>())
  {
  }
  
  winml_experimental::LearningModelBuilder LearningModelOperatorSet::Add(winml_experimental::LearningModelOperator const& op)
  {
    auto operator_private = op.as<winml_experimentalp::LearningModelOperator>();
    auto constant_input_map = operator_private->ConstantInputMapping();
    auto input_map = operator_private->InputMapping();
    auto output_map = operator_private->OutputMapping();
    auto attribute_map = operator_private->AttributeMap();
  
    auto operator_name = _winml::Strings::UTF8FromHString(operator_private->Name());
    auto operator_type = _winml::Strings::UTF8FromHString(operator_private->Type());
    auto operator_domain = _winml::Strings::UTF8FromHString(operator_private->Domain());
  
    std::vector<std::string> operator_input_names(input_map.Size());
    std::vector<std::string> actual_input_names(input_map.Size());
    std::vector<const char*> raw_operator_input_names(input_map.Size());
    std::vector<const char*> raw_actual_input_names(input_map.Size());
    int i = 0;
    for (auto kvp : input_map) {
      operator_input_names[i] = _winml::Strings::UTF8FromHString(kvp.Key());
      actual_input_names[i] = _winml::Strings::UTF8FromHString(kvp.Value());
      raw_operator_input_names[i] = operator_input_names[i].c_str();
      raw_actual_input_names[i] = actual_input_names[i].c_str();
      i++;
    }
  
    std::vector<std::string> operator_output_names(output_map.Size());
    std::vector<std::string> actual_output_names(output_map.Size());
    std::vector<const char*> raw_operator_output_names(output_map.Size());
    std::vector<const char*> raw_actual_output_names(output_map.Size());
    i = 0;
    for (auto kvp : output_map) {
      operator_output_names[i] = _winml::Strings::UTF8FromHString(kvp.Key());
      actual_output_names[i] = _winml::Strings::UTF8FromHString(kvp.Value());
      raw_operator_output_names[i] = operator_output_names[i].c_str();
      raw_actual_output_names[i] = actual_output_names[i].c_str();
      i++;
    }
  
    // Create the Binding Context to pass to the feature value
    _winml::BindingContext context{
        _winml::BindingType::kInput,
        builder_.as<winml_experimentalp::LearningModelBuilder>()->InertSession(),
        nullptr,
        nullptr,
        {}  // SubresourceId is set by callee
    };
  
    std::vector<std::string> attribute_names(attribute_map.Size());
    std::vector<const char*> raw_attribute_names(attribute_map.Size());
    std::vector<winrt::com_ptr<_winml::IValue>> attribute_values(attribute_map.Size());
    std::vector<_winml::IValue*> raw_attribute_values(attribute_map.Size());
    i = 0;
    for (auto kvp : attribute_map) {
      attribute_names[i] = _winml::Strings::UTF8FromHString(kvp.Key());
      auto default_value_value_provider = kvp.Value().as<_winml::ILotusValueProviderPrivate>();
      default_value_value_provider->GetValue(context, attribute_values[i].put());
  
      raw_attribute_names[i] = attribute_names[i].c_str();
      raw_attribute_values[i] = attribute_values[i].get();
      i++;
    }
  
    auto builder = builder_.as<winml_experimentalp::LearningModelBuilder>();
    WINML_THROW_IF_FAILED(builder->UseModel()->AddOperator(
        operator_type.c_str(),
        operator_name.c_str(),
        operator_domain.c_str(),
        raw_operator_input_names.data(), raw_actual_input_names.data(), input_map.Size(),
        raw_operator_output_names.data(), raw_actual_output_names.data(), output_map.Size(),
        raw_attribute_names.data(), raw_attribute_values.data(), attribute_map.Size()));
  
    // Add constants
    for (auto kvp : constant_input_map) {
      builder_.Inputs().AddConstant(kvp.Key(), kvp.Value());
    }
  
    return builder_;
  }
  
  }
  