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

   1 /*
   2 // Copyright (c) 2019 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_extension/lstm_dynamic_input.hpp"
  20 #include "primitive_inst.h"
  21 #include "error_handler.h"
  22 #include <memory>
  23 #include <string>
  24
  25 namespace cldnn {
  26
  27 template <>
  28 struct typed_program_node<lstm_dynamic_input> : public typed_program_node_base<lstm_dynamic_input> {
  29     using parent = typed_program_node_base<lstm_dynamic_input>;
  30
  31 public:
  32     typed_program_node(std::shared_ptr<primitive> prim, program_impl& prog) : parent(prim, prog) {}
  33
  34     program_node& input() const { return get_dependency(0); }
  35     program_node& dyn_length() const { return get_dependency(1); }
  36     program_node& weights() const { return get_dependency(2); }
  37
  38     program_node& bias() const {
  39         CLDNN_ERROR_BOOL(id(), "Bias term", !bias_term(), "Trying to get non existing bias.");
  40         return get_dependency(3);
  41     }
  42
  43     int32_t direction() const { return weights().get_output_layout().size.feature[0]; }
  44     bool dyn_length_term() const { return !get_primitive()->dyn_length.empty(); }
  45     bool bias_term() const { return !get_primitive()->bias.empty(); }
  46     bool weights_term() const { return !get_primitive()->weights.empty(); }
  47 };
  48
  49 using lstm_dynamic_input_node = typed_program_node<lstm_dynamic_input>;
  50
  51 template <>
  52 class typed_primitive_inst<lstm_dynamic_input> : public typed_primitive_inst_base<lstm_dynamic_input> {
  53     using parent = typed_primitive_inst_base<lstm_dynamic_input>;
  54
  55 public:
  56     static layout calc_output_layout(lstm_dynamic_input_node const& node);
  57     static std::string to_string(lstm_dynamic_input_node const& node);
  58
  59 public:
  60     typed_primitive_inst(network_impl& network, lstm_dynamic_input_node const& node);
  61
  62     memory_impl& dyn_length_memory() const { return dep_memory(1); }
  63     memory_impl& weights_memory() const { return dep_memory(2); }
  64     memory_impl& bias_memory() const {
  65         CLDNN_ERROR_BOOL(id(), "Bias term", !bias_term(), "Trying to get non existing bias memory.");
  66         return dep_memory(3);
  67     }
  68     int32_t direction() const { return node.direction(); }
  69     bool bias_term() const { return node.bias_term(); }
  70 };
  71
  72 using lstm_dynamic_input_inst = typed_primitive_inst<lstm_dynamic_input>;
  73
  74 }  // namespace cldnn