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

   1 // Copyright (C) 2018-2019 Intel Corporation
   2 // SPDX-License-Identifier: Apache-2.0
   3 //
   4
   5 #include <builders/ie_relu_layer.hpp>
   6 #include <ie_cnn_layer_builder.h>
   7
   8 #include <string>
   9
  10 using namespace InferenceEngine;
  11
  12 Builder::ReLULayer::ReLULayer(const std::string& name): LayerDecorator("ReLU", name) {
  13     getLayer()->getOutputPorts().resize(1);
  14     getLayer()->getInputPorts().resize(1);
  15     setNegativeSlope(0);
  16 }
  17
  18 Builder::ReLULayer::ReLULayer(const Layer::Ptr& layer): LayerDecorator(layer) {
  19     checkType("ReLU");
  20 }
  21
  22 Builder::ReLULayer::ReLULayer(const Layer::CPtr& layer): LayerDecorator(layer) {
  23     checkType("ReLU");
  24 }
  25
  26 Builder::ReLULayer& Builder::ReLULayer::setName(const std::string& name) {
  27     getLayer()->setName(name);
  28     return *this;
  29 }
  30
  31 const Port& Builder::ReLULayer::getPort() const {
  32     return getLayer()->getOutputPorts()[0];
  33 }
  34
  35 Builder::ReLULayer& Builder::ReLULayer::setPort(const Port &port) {
  36     getLayer()->getOutputPorts()[0] = port;
  37     getLayer()->getInputPorts()[0] = port;
  38     return *this;
  39 }
  40
  41 float Builder::ReLULayer::getNegativeSlope() const {
  42     return getLayer()->getParameters().at("negative_slope");
  43 }
  44
  45 Builder::ReLULayer& Builder::ReLULayer::setNegativeSlope(float negativeSlope) {
  46     getLayer()->getParameters()["negative_slope"] = negativeSlope;
  47     return *this;
  48 }
  49
  50 REG_VALIDATOR_FOR(ReLU, [] (const InferenceEngine::Builder::Layer::CPtr& input_layer, bool partial) {
  51     Builder::ReLULayer layer(input_layer);
  52     if (!input_layer->getInputPorts().empty() &&
  53         !input_layer->getOutputPorts().empty() &&
  54         !input_layer->getInputPorts()[0].shape().empty() &&
  55         !input_layer->getOutputPorts()[0].shape().empty() &&
  56         input_layer->getInputPorts()[0].shape() != input_layer->getOutputPorts()[0].shape()) {
  57         THROW_IE_EXCEPTION << "Input and output ports should be equal";
  58     }
  59 });
  60
  61 REG_CONVERTER_FOR(ReLU, [](const CNNLayerPtr& cnnLayer, Builder::Layer& layer) {
  62     layer.getParameters()["negative_slope"] = cnnLayer->GetParamAsFloat("negative_slope", 0);
  63 });