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

   1 // Copyright (C) 2018-2019 Intel Corporation
   2 // SPDX-License-Identifier: Apache-2.0
   3 //
   4
   5 #include <builders/ie_normalize_layer.hpp>
   6 #include <ie_cnn_layer_builder.h>
   7
   8 #include <string>
   9
  10 using namespace InferenceEngine;
  11
  12 Builder::NormalizeLayer::NormalizeLayer(const std::string& name): LayerDecorator("Normalize", name) {
  13     getLayer()->getOutputPorts().resize(1);
  14     getLayer()->getInputPorts().resize(1);
  15     setAcrossMaps(false);
  16     setChannelShared(false);
  17     setEpsilon(0.0000001f);
  18 }
  19
  20 Builder::NormalizeLayer::NormalizeLayer(const Layer::Ptr& layer): LayerDecorator(layer) {
  21     checkType("Normalize");
  22 }
  23
  24 Builder::NormalizeLayer::NormalizeLayer(const Layer::CPtr& layer): LayerDecorator(layer) {
  25     checkType("Normalize");
  26 }
  27
  28 Builder::NormalizeLayer& Builder::NormalizeLayer::setName(const std::string& name) {
  29     getLayer()->setName(name);
  30     return *this;
  31 }
  32
  33 const Port& Builder::NormalizeLayer::getPort() const {
  34     return getLayer()->getOutputPorts()[0];
  35 }
  36
  37 Builder::NormalizeLayer& Builder::NormalizeLayer::setPort(const Port &port) {
  38     getLayer()->getOutputPorts()[0] = port;
  39     getLayer()->getInputPorts()[0] = port;
  40     return *this;
  41 }
  42
  43 bool Builder::NormalizeLayer::getAcrossMaps() const {
  44     return getLayer()->getParameters().at("region");
  45 }
  46
  47 Builder::NormalizeLayer& Builder::NormalizeLayer::setAcrossMaps(bool acrossMap)  {
  48     getLayer()->getParameters()["region"] = acrossMap ? 1 : 0;
  49     return *this;
  50 }
  51
  52 bool Builder::NormalizeLayer::getChannelShared() const {
  53     return getLayer()->getParameters().at("channel_shared");
  54 }
  55
  56 Builder::NormalizeLayer& Builder::NormalizeLayer::setChannelShared(bool channelShared)  {
  57     getLayer()->getParameters()["channel_shared"] = channelShared ? 1 : 0;
  58     return *this;
  59 }
  60
  61 float Builder::NormalizeLayer::getEpsilon() const {
  62     return getLayer()->getParameters().at("eps");
  63 }
  64
  65 Builder::NormalizeLayer& Builder::NormalizeLayer::setEpsilon(float eps) {
  66     getLayer()->getParameters()["eps"] = eps;
  67     return *this;
  68 }
  69
  70 REG_VALIDATOR_FOR(Normalize, [] (const InferenceEngine::Builder::Layer::CPtr& input_layer, bool partial) {
  71     Builder::NormalizeLayer layer(input_layer);
  72     if (layer.getEpsilon() <= 0) {
  73         THROW_IE_EXCEPTION << "Epsilon should be > 0";
  74     }
  75     if (!input_layer->getInputPorts().empty() &&
  76         !input_layer->getOutputPorts().empty() &&
  77         !input_layer->getInputPorts()[0].shape().empty() &&
  78         !input_layer->getOutputPorts()[0].shape().empty() &&
  79         input_layer->getInputPorts()[0].shape() != input_layer->getOutputPorts()[0].shape()) {
  80         THROW_IE_EXCEPTION << "Input and output ports should be equal";
  81     }
  82 });
  83
  84 REG_CONVERTER_FOR(Normalize, [](const CNNLayerPtr& cnnLayer, Builder::Layer& layer) {
  85     layer.getParameters()["region"] = cnnLayer->GetParamsAsBool("region", 0);
  86     layer.getParameters()["channel_shared"] = cnnLayer->GetParamsAsBool("channel_shared", 0);
  87     layer.getParameters()["eps"] = cnnLayer->GetParamAsFloat("eps", 0);
  88 });
  89