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 "api/CPP/scale_grad_weights.hpp"
  #include "primitive_inst.h"
  #include <string>
  
  namespace cldnn {
  
  template <>
  struct typed_program_node<scale_grad_weights> : public typed_program_node_base<scale_grad_weights> {
      using parent = typed_program_node_base<scale_grad_weights>;
  
  public:
      using parent::parent;
  
      program_node& input() const { return get_dependency(0); }
      program_node& input_grad() const { return get_dependency(1); }
      program_node& weights() const { return get_dependency(2); }
      program_node& bias() const { return get_dependency(3); }
      program_node& prev_scale_grad() const { return bias_term() ? get_dependency(4) : get_dependency(3); }
      program_node& prev_bias_grad() const { return get_dependency(5); }
  
      bool use_momentum() const { return !get_primitive()->prev_scale_grad.empty(); }
      bool bias_term() const { return get_dependencies().size() > 3; }
  };
  
  using scale_grad_weights_node = typed_program_node<scale_grad_weights>;
  
  template <>
  class typed_primitive_inst<scale_grad_weights> : public typed_primitive_inst_base<scale_grad_weights> {
      using parent = typed_primitive_inst_base<scale_grad_weights>;
  
  public:
      static layout calc_output_layout(scale_grad_weights_node const& node);
      static std::string to_string(scale_grad_weights_node const& node);
  
  public:
      typed_primitive_inst(network_impl& network, scale_grad_weights_node const& desc);
  
      memory_impl& weights_memory() const { return dep_memory(2); }
      memory_impl& bias_memory() const { return dep_memory(3); }
      memory_impl& prev_scale_grad() const { return bias_term() ? dep_memory(4) : dep_memory(3); }
      memory_impl& prev_bias_grad() const { return dep_memory(5); }
  
      bool use_momentum() const { return !argument.prev_scale_grad.empty(); }
      bool bias_term() const { return _deps.size() > 3; }
  };
  
  using scale_grad_weights_inst = typed_primitive_inst<scale_grad_weights>;
  
  }  // namespace cldnn
  