3 files changed, 26 insertions, 1 deletions
diff --git a/src/armnnDeserializer/Deserializer.cpp b/src/armnnDeserializer/Deserializer.cpp
index 1ef5651032..28c6c94c7a 100644
--- a/src/armnnDeserializer/Deserializer.cpp
+++ b/src/armnnDeserializer/Deserializer.cpp
@@ -193,6 +193,7 @@ m_ParserFunctions(Layer_MAX+1, &Deserializer::ParseUnsupportedLayer)
     m_ParserFunctions[Layer_DepthwiseConvolution2dLayer] = &Deserializer::ParseDepthwiseConvolution2d;
     m_ParserFunctions[Layer_DivisionLayer]               = &Deserializer::ParseDivision;
     m_ParserFunctions[Layer_FullyConnectedLayer]         = &Deserializer::ParseFullyConnected;
+    m_ParserFunctions[Layer_MinimumLayer]                = &Deserializer::ParseMinimum;
     m_ParserFunctions[Layer_MultiplicationLayer]         = &Deserializer::ParseMultiplication;
     m_ParserFunctions[Layer_PermuteLayer]                = &Deserializer::ParsePermute;
     m_ParserFunctions[Layer_Pooling2dLayer]              = &Deserializer::ParsePooling2d;
@@ -224,7 +225,9 @@ Deserializer::LayerBaseRawPtr Deserializer::GetBaseLayer(const GraphPtr& graphPt
         case Layer::Layer_FullyConnectedLayer:
             return graphPtr->layers()->Get(layerIndex)->layer_as_FullyConnectedLayer()->base();
         case Layer::Layer_InputLayer:
-           return graphPtr->layers()->Get(layerIndex)->layer_as_InputLayer()->base()->base();
+            return graphPtr->layers()->Get(layerIndex)->layer_as_InputLayer()->base()->base();
+        case Layer::Layer_MinimumLayer:
+            return graphPtr->layers()->Get(layerIndex)->layer_as_MinimumLayer()->base();
         case Layer::Layer_MultiplicationLayer:
             return graphPtr->layers()->Get(layerIndex)->layer_as_MultiplicationLayer()->base();
         case Layer::Layer_OutputLayer:
@@ -955,6 +958,26 @@ void Deserializer::ParseDivision(GraphPtr graph, unsigned int layerIndex)
     RegisterOutputSlots(graph, layerIndex, layer);
 }
 
+void Deserializer::ParseMinimum(GraphPtr graph, unsigned int layerIndex)
+{
+    CHECK_LAYERS(graph, 0, layerIndex);
+    auto inputs = GetInputs(graph, layerIndex);
+    CHECK_LOCATION();
+    CHECK_VALID_SIZE(inputs.size(), 2);
+
+    auto outputs = GetOutputs(graph, layerIndex);
+    CHECK_VALID_SIZE(outputs.size(), 1);
+
+    auto layerName = GetLayerName(graph, layerIndex);
+    IConnectableLayer* layer = m_Network->AddMinimumLayer(layerName.c_str());
+
+    armnn::TensorInfo outputTensorInfo = ToTensorInfo(outputs[0]);
+    layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo);
+
+    RegisterInputSlots(graph, layerIndex, layer);
+    RegisterOutputSlots(graph, layerIndex, layer);
+}
+
 void Deserializer::ParseMultiplication(GraphPtr graph, unsigned int layerIndex)
 {
     CHECK_LAYERS(graph, 0, layerIndex);
diff --git a/src/armnnDeserializer/Deserializer.hpp b/src/armnnDeserializer/Deserializer.hpp
index cb0590bc5f..657c7f5ed8 100644
--- a/src/armnnDeserializer/Deserializer.hpp
+++ b/src/armnnDeserializer/Deserializer.hpp
@@ -76,6 +76,7 @@ private:
     void ParseDepthwiseConvolution2d(GraphPtr graph, unsigned int layerIndex);
     void ParseDivision(GraphPtr graph, unsigned int layerIndex);
     void ParseFullyConnected(GraphPtr graph, unsigned int layerIndex);
+    void ParseMinimum(GraphPtr graph, unsigned int layerIndex);
     void ParseMultiplication(GraphPtr graph, unsigned int layerIndex);
     void ParsePermute(GraphPtr graph, unsigned int layerIndex);
     void ParsePooling2d(GraphPtr graph, unsigned int layerIndex);
diff --git a/src/armnnDeserializer/DeserializerSupport.md b/src/armnnDeserializer/DeserializerSupport.md
index c8c0d6c9d3..8fd7b421a3 100644
--- a/src/armnnDeserializer/DeserializerSupport.md
+++ b/src/armnnDeserializer/DeserializerSupport.md
@@ -14,6 +14,7 @@ The Arm NN SDK Deserialize parser currently supports the following layers:
 * DepthwiseConvolution2d
 * Division
 * FullyConnected
+* Minimum
 * Multiplication
 * Permute
 * Pooling2d