IVGCVSW-2870 Serialize quantize layer

Change-Id: I2cff85a3cb4d47aa09227a6810812a142f2aedd3
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>

1 files changed, 22 insertions, 0 deletions

diff --git a/src/armnnDeserializer/Deserializer.cpp b/src/armnnDeserializer/Deserializer.cpp
index d64bed7409..ff5bf8ba4e 100644
--- a/src/armnnDeserializer/Deserializer.cpp
+++ b/src/armnnDeserializer/Deserializer.cpp
@@ -211,6 +211,7 @@ m_ParserFunctions(Layer_MAX+1, &Deserializer::ParseUnsupportedLayer)
     m_ParserFunctions[Layer_PadLayer]                    = &Deserializer::ParsePad;
     m_ParserFunctions[Layer_PermuteLayer]                = &Deserializer::ParsePermute;
     m_ParserFunctions[Layer_Pooling2dLayer]              = &Deserializer::ParsePooling2d;
+    m_ParserFunctions[Layer_QuantizeLayer]               = &Deserializer::ParseQuantize;
     m_ParserFunctions[Layer_ReshapeLayer]                = &Deserializer::ParseReshape;
     m_ParserFunctions[Layer_ResizeBilinearLayer]         = &Deserializer::ParseResizeBilinear;
     m_ParserFunctions[Layer_RsqrtLayer]                  = &Deserializer::ParseRsqrt;
@@ -281,6 +282,8 @@ Deserializer::LayerBaseRawPtr Deserializer::GetBaseLayer(const GraphPtr& graphPt
             return graphPtr->layers()->Get(layerIndex)->layer_as_PermuteLayer()->base();
         case Layer::Layer_Pooling2dLayer:
             return graphPtr->layers()->Get(layerIndex)->layer_as_Pooling2dLayer()->base();
+        case Layer::Layer_QuantizeLayer:
+            return graphPtr->layers()->Get(layerIndex)->layer_as_QuantizeLayer()->base();
         case Layer::Layer_ReshapeLayer:
             return graphPtr->layers()->Get(layerIndex)->layer_as_ReshapeLayer()->base();
         case Layer::Layer_ResizeBilinearLayer:
@@ -1495,6 +1498,25 @@ void Deserializer::ParsePooling2d(GraphPtr graph, unsigned int layerIndex)
     RegisterOutputSlots(graph, layerIndex, layer);
 }
 
+void Deserializer::ParseQuantize(GraphPtr graph, unsigned int layerIndex)
+{
+    CHECK_LAYERS(graph, 0, layerIndex);
+
+    auto inputs = GetInputs(graph, layerIndex);
+    CHECK_VALID_SIZE(inputs.size(), 1);
+
+    auto outputs = GetOutputs(graph, layerIndex);
+    CHECK_VALID_SIZE(outputs.size(), 1);
+    auto outputInfo = ToTensorInfo(outputs[0]);
+
+    auto layerName = GetLayerName(graph, layerIndex);
+    IConnectableLayer* layer = m_Network->AddQuantizeLayer(layerName.c_str());
+    layer->GetOutputSlot(0).SetTensorInfo(outputInfo);
+
+    RegisterInputSlots(graph, layerIndex, layer);
+    RegisterOutputSlots(graph, layerIndex, layer);
+}
+
 armnn::TensorInfo Deserializer::OutputShapeOfReshape(const armnn::TensorInfo& inputTensorInfo,
                                                           const std::vector<uint32_t>& targetDimsIn)
 {