inference-engine/thirdparty/clDNN/src/include/embed_inst.h

   1 /*
   2 // Copyright (c) 2018 Intel Corporation
   3 //
   4 // Licensed under the Apache License, Version 2.0 (the "License");
   5 // you may not use this file except in compliance with the License.
   6 // You may obtain a copy of the License at
   7 //
   8 //      http://www.apache.org/licenses/LICENSE-2.0
   9 //
  10 // Unless required by applicable law or agreed to in writing, software
  11 // distributed under the License is distributed on an "AS IS" BASIS,
  12 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13 // See the License for the specific language governing permissions and
  14 // limitations under the License.
  15 */
  16
  17 ///////////////////////////////////////////////////////////////////////////////////////////////////
  18 #pragma once
  19 #include "api/CPP/embed.hpp"
  20 #include "primitive_inst.h"
  21
  22 namespace cldnn
  23 {
  24         template <>
  25         struct typed_program_node<embed> : public typed_program_node_base<embed>
  26         {
  27                 using parent = typed_program_node_base<embed>;
  28
  29         public:
  30                 using parent::parent;
  31
  32                 program_node& input() const { return get_dependency(0); }
  33                 program_node& weights() const { return get_dependency(1); }
  34                 program_node& bias() const { return get_dependency(2); }
  35                 bool bias_term() const { return !get_primitive()->bias.empty(); }
  36         };
  37
  38         using embed_node = typed_program_node<embed>;
  39
  40         template <>
  41         class typed_primitive_inst<embed> : public typed_primitive_inst_base<embed>
  42         {
  43                 using parent = typed_primitive_inst_base<embed>;
  44
  45         public:
  46                 static layout calc_output_layout(embed_node const& node);
  47                 static std::string to_string(embed_node const& node);
  48
  49         public:
  50                 typed_primitive_inst(network_impl& network, embed_node const& node);
  51                 memory_impl& weights_memory() const { return dep_memory(1); }
  52                 memory_impl& bias_memory() const { return dep_memory(2); }
  53                 bool bias_term() const { return !argument.bias.empty(); }
  54         };
  55
  56         using embed_inst = typed_primitive_inst<embed>;
  57
  58 }