inference-engine/src/inference_engine/builders/ie_gru_sequence_layer.cpp

   1 // Copyright (C) 2018-2019 Intel Corporation
   2 // SPDX-License-Identifier: Apache-2.0
   3 //
   4
   5 #include <builders/ie_gru_sequence_layer.hpp>
   6 #include <ie_cnn_layer_builder.h>
   7
   8 #include <vector>
   9 #include <string>
  10
  11 using namespace InferenceEngine;
  12
  13 Builder::GRUSequenceLayer::GRUSequenceLayer(const std::string& name): LayerDecorator("GRUSequence", name) {
  14     getLayer()->getOutputPorts().resize(2);
  15     getLayer()->getInputPorts().resize(5);
  16     getLayer()->getInputPorts()[1].setParameter("type", "weights");
  17     getLayer()->getInputPorts()[2].setParameter("type", "biases");
  18     getLayer()->getInputPorts()[3].setParameter("type", "optional");
  19 }
  20
  21 Builder::GRUSequenceLayer::GRUSequenceLayer(const Layer::Ptr& layer): LayerDecorator(layer) {
  22     checkType("GRUSequence");
  23 }
  24
  25 Builder::GRUSequenceLayer::GRUSequenceLayer(const Layer::CPtr& layer): LayerDecorator(layer) {
  26     checkType("GRUSequence");
  27 }
  28
  29 Builder::GRUSequenceLayer& Builder::GRUSequenceLayer::setName(const std::string& name) {
  30     getLayer()->setName(name);
  31     return *this;
  32 }
  33
  34 const std::vector<Port>& Builder::GRUSequenceLayer::getInputPorts() const {
  35     return getLayer()->getInputPorts();
  36 }
  37
  38 Builder::GRUSequenceLayer& Builder::GRUSequenceLayer::setInputPorts(const std::vector<Port>& ports) {
  39     getLayer()->getInputPorts() = ports;
  40     return *this;
  41 }
  42
  43 const std::vector<Port>& Builder::GRUSequenceLayer::getOutputPorts() const {
  44     return getLayer()->getOutputPorts();
  45 }
  46
  47 Builder::GRUSequenceLayer& Builder::GRUSequenceLayer::setOutputPorts(const std::vector<Port>& ports) {
  48     getLayer()->getOutputPorts() = ports;
  49     return *this;
  50 }
  51 int Builder::GRUSequenceLayer::getHiddenSize() const {
  52     return getLayer()->getParameters().at("hidden_size");
  53 }
  54 Builder::GRUSequenceLayer& Builder::GRUSequenceLayer::setHiddenSize(int size) {
  55     getLayer()->getParameters()["hidden_size"] = size;
  56     return *this;
  57 }
  58 bool Builder::GRUSequenceLayer::getSequenceDim() const {
  59     return getLayer()->getParameters().at("sequence_dim");
  60 }
  61 Builder::GRUSequenceLayer& Builder::GRUSequenceLayer::setSqquenceDim(bool flag) {
  62     getLayer()->getParameters()["sequence_dim"] = flag;
  63     return *this;
  64 }
  65 const std::vector<std::string>& Builder::GRUSequenceLayer::getActivations() const {
  66     return getLayer()->getParameters().at("activations");
  67 }
  68 Builder::GRUSequenceLayer& Builder::GRUSequenceLayer::setActivations(const std::vector<std::string>& activations) {
  69     getLayer()->getParameters()["activations"] = activations;
  70     return *this;
  71 }
  72 const std::vector<float>& Builder::GRUSequenceLayer::getActivationsAlpha() const {
  73     return getLayer()->getParameters().at("activations_alpha");
  74 }
  75 Builder::GRUSequenceLayer& Builder::GRUSequenceLayer::setActivationsAlpha(const std::vector<float>& activations) {
  76     getLayer()->getParameters()["activations_alpha"] = activations;
  77     return *this;
  78 }
  79 const std::vector<float>& Builder::GRUSequenceLayer::getActivationsBeta() const {
  80     return getLayer()->getParameters().at("activations_beta");
  81 }
  82 Builder::GRUSequenceLayer& Builder::GRUSequenceLayer::setActivationsBeta(const std::vector<float>& activations) {
  83     getLayer()->getParameters()["activations_beta"] = activations;
  84     return *this;
  85 }
  86 float Builder::GRUSequenceLayer::getClip() const {
  87     return getLayer()->getParameters().at("clip");
  88 }
  89 Builder::GRUSequenceLayer& Builder::GRUSequenceLayer::setClip(float clip) {
  90     getLayer()->getParameters()["clip"] = clip;
  91     return *this;
  92 }
  93
  94 bool Builder::GRUSequenceLayer::getLinearBeforeReset() const {
  95     return getLayer()->getParameters().at("linear_before_reset");
  96 }
  97 Builder::GRUSequenceLayer& Builder::GRUSequenceLayer::setLinearBeforeReset(bool flag) {
  98     getLayer()->getParameters()["linear_before_reset"] = flag;
  99     return *this;
 100 }
 101 const std::string& Builder::GRUSequenceLayer::getDirection() const {
 102     return getLayer()->getParameters().at("direction");
 103 }
 104 Builder::GRUSequenceLayer& Builder::GRUSequenceLayer::setDirection(const std::string& direction) {
 105     getLayer()->getParameters()["direction"] = direction;
 106     return *this;
 107 }
 108
 109 REG_CONVERTER_FOR(GRUSequence, [](const CNNLayerPtr& cnnLayer, Builder::Layer& layer) {
 110     layer.getParameters()["hidden_size"] = cnnLayer->GetParamAsInt("hidden_size");
 111     layer.getParameters()["sequence_dim"] = cnnLayer->GetParamsAsBool("sequence_dim", true);
 112     std::vector<std::string> activations;
 113     std::istringstream stream(cnnLayer->GetParamAsString("activations"));
 114     std::string str;
 115     while (getline(stream, str, ',')) {
 116          activations.push_back(str);
 117     }
 118     layer.getParameters()["activations"] = activations;
 119     layer.getParameters()["activations_alpha"] = cnnLayer->GetParamAsFloats("activations_alpha");
 120     layer.getParameters()["activations_beta"] = cnnLayer->GetParamAsFloats("activations_beta");
 121     layer.getParameters()["clip"] = cnnLayer->GetParamAsFloat("clip");
 122     layer.getParameters()["linear_before_reset"] = cnnLayer->GetParamsAsBool("linear_before_reset", true);
 123     layer.getParameters()["direction"] = cnnLayer->GetParamAsString("direction", "");
 124 });
 125
 126