text: /*
  // Copyright (c) 2018 Intel Corporation
  //
  // Licensed under the Apache License, Version 2.0 (the "License");
  // you may not use this file except in compliance with the License.
  // You may obtain a copy of the License at
  //
  //      http://www.apache.org/licenses/LICENSE-2.0
  //
  // Unless required by applicable law or agreed to in writing, software
  // distributed under the License is distributed on an "AS IS" BASIS,
  // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  // See the License for the specific language governing permissions and
  // limitations under the License.
  */
  
  ///////////////////////////////////////////////////////////////////////////////////////////////////
  #pragma once
  #include "../C/scale_grad_input.h"
  #include "primitive.hpp"
  
  namespace cldnn
  {
  /// @addtogroup cpp_api C++ API
  /// @{
  /// @addtogroup cpp_topology Network Topology
  /// @{
  /// @addtogroup cpp_primitives Primitives
  /// @{
  
  /// @brief Performs scale primitive backward for input.
  struct scale_grad_input : public primitive_base<scale_grad_input, CLDNN_PRIMITIVE_DESC(scale_grad_input)>
  {
      CLDNN_DECLARE_PRIMITIVE(scale_grad_input)
  
      /// @brief Constructs scale_grad_input.
      /// @param id This primitive id.
      /// @param input Input primitive id.
      /// @param scale_input Scale input primitive id with values needed for product computation.
      scale_grad_input(
          const primitive_id& id,
          const primitive_id& input,
          const primitive_id& scale_input, //should be bfyx or yxfb, where each dimension can be 1, if all dimensions are 1 then this is scalar
          const padding& output_padding = padding()
      )
          :primitive_base(id, { input, scale_input }, output_padding)
      {
      }
  
      /// @brief Constructs a copy from C API @CLDNN_PRIMITIVE_DESC{scale_grad_input}
      scale_grad_input(const dto* dto)
          :primitive_base(dto)
      {
          if (dto->input.size != 2)
              throw std::invalid_argument("scale_grad_input dto should contains exactly 2 inputs");
      }
  
  protected:
      std::vector<std::reference_wrapper<const primitive_id>> get_dependencies() const override
      {
          return{};
      }
  
      void update_dto(dto&) const override {}
  };
  /// @}
  /// @}
  /// @}
  }
  