1 // Copyright (C) 2018-2019 Intel Corporation
2 // SPDX-License-Identifier: Apache-2.0
5 #include <builders/ie_rnn_sequence_layer.hpp>
6 #include <ie_cnn_layer_builder.h>
11 using namespace InferenceEngine;
13 Builder::RNNSequenceLayer::RNNSequenceLayer(const std::string& name): LayerDecorator("RNNSequence", 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");
21 Builder::RNNSequenceLayer::RNNSequenceLayer(const Layer::Ptr& layer): LayerDecorator(layer) {
22 checkType("RNNSequence");
25 Builder::RNNSequenceLayer::RNNSequenceLayer(const Layer::CPtr& layer): LayerDecorator(layer) {
26 checkType("RNNSequence");
29 Builder::RNNSequenceLayer& Builder::RNNSequenceLayer::setName(const std::string& name) {
30 getLayer()->setName(name);
34 const std::vector<Port>& Builder::RNNSequenceLayer::getInputPorts() const {
35 return getLayer()->getInputPorts();
38 Builder::RNNSequenceLayer& Builder::RNNSequenceLayer::setInputPorts(const std::vector<Port>& ports) {
39 getLayer()->getInputPorts() = ports;
43 const std::vector<Port>& Builder::RNNSequenceLayer::getOutputPorts() const {
44 return getLayer()->getOutputPorts();
47 Builder::RNNSequenceLayer& Builder::RNNSequenceLayer::setOutputPorts(const std::vector<Port>& ports) {
48 getLayer()->getOutputPorts() = ports;
51 int Builder::RNNSequenceLayer::getHiddenSize() const {
52 return getLayer()->getParameters().at("hidden_size");
54 Builder::RNNSequenceLayer& Builder::RNNSequenceLayer::setHiddenSize(int size) {
55 getLayer()->getParameters()["hidden_size"] = size;
58 bool Builder::RNNSequenceLayer::getSequenceDim() const {
59 return getLayer()->getParameters().at("sequence_dim");
61 Builder::RNNSequenceLayer& Builder::RNNSequenceLayer::setSqquenceDim(bool flag) {
62 getLayer()->getParameters()["sequence_dim"] = flag;
65 const std::vector<std::string>& Builder::RNNSequenceLayer::getActivations() const {
66 return getLayer()->getParameters().at("activations");
68 Builder::RNNSequenceLayer& Builder::RNNSequenceLayer::setActivations(const std::vector<std::string>& activations) {
69 getLayer()->getParameters()["activations"] = activations;
72 const std::vector<float>& Builder::RNNSequenceLayer::getActivationsAlpha() const {
73 return getLayer()->getParameters().at("activations_alpha");
75 Builder::RNNSequenceLayer& Builder::RNNSequenceLayer::setActivationsAlpha(const std::vector<float>& activations) {
76 getLayer()->getParameters()["activations_alpha"] = activations;
79 const std::vector<float>& Builder::RNNSequenceLayer::getActivationsBeta() const {
80 return getLayer()->getParameters().at("activations_beta");
82 Builder::RNNSequenceLayer& Builder::RNNSequenceLayer::setActivationsBeta(const std::vector<float>& activations) {
83 getLayer()->getParameters()["activations_beta"] = activations;
86 REG_CONVERTER_FOR(RNNSequence, [](const CNNLayerPtr& cnnLayer, Builder::Layer& layer) {
87 layer.getParameters()["hidden_size"] = cnnLayer->GetParamAsInt("hidden_size");
88 layer.getParameters()["sequence_dim"] = cnnLayer->GetParamsAsBool("sequence_dim", true);
89 std::vector<std::string> activations;
90 std::istringstream stream(cnnLayer->GetParamAsString("activations"));
92 while (getline(stream, str, ',')) {
93 activations.push_back(str);
95 layer.getParameters()["activations"] = activations;
96 layer.getParameters()["activations_alpha"] = cnnLayer->GetParamAsFloats("activations_alpha");
97 layer.getParameters()["activations_beta"] = cnnLayer->GetParamAsFloats("activations_beta");