1 files changed, 52 insertions, 0 deletions
diff --git a/src/armnnTfLiteParser/TfLiteParser.cpp b/src/armnnTfLiteParser/TfLiteParser.cpp
index 7c81a8f757..d4a0a6e865 100644
--- a/src/armnnTfLiteParser/TfLiteParser.cpp
+++ b/src/armnnTfLiteParser/TfLiteParser.cpp
@@ -638,6 +638,7 @@ TfLiteParserImpl::TfLiteParserImpl(const Optional<ITfLiteParser::TfLiteParserOpt
     m_ParserFunctions[tflite::BuiltinOperator_NEG]                     = &TfLiteParserImpl::ParseNeg;
     m_ParserFunctions[tflite::BuiltinOperator_PACK]                    = &TfLiteParserImpl::ParsePack;
     m_ParserFunctions[tflite::BuiltinOperator_PAD]                     = &TfLiteParserImpl::ParsePad;
+    m_ParserFunctions[tflite::BuiltinOperator_PRELU]                   = &TfLiteParserImpl::ParsePrelu;
     m_ParserFunctions[tflite::BuiltinOperator_QUANTIZE]                = &TfLiteParserImpl::ParseQuantize;
     m_ParserFunctions[tflite::BuiltinOperator_RELU]                    = &TfLiteParserImpl::ParseRelu;
     m_ParserFunctions[tflite::BuiltinOperator_RELU6]                   = &TfLiteParserImpl::ParseRelu6;
@@ -1939,6 +1940,57 @@ void TfLiteParserImpl::ParsePad(size_t subgraphIndex, size_t operatorIndex)
     RegisterOutputSlots(subgraphIndex, operatorIndex, layer, {outputTensorIndexes[0]});
 }
 
+void TfLiteParserImpl::ParsePrelu(size_t subgraphIndex, size_t operatorIndex)
+{
+    CHECK_MODEL(m_Model, subgraphIndex, operatorIndex);
+
+    auto inputs = GetInputs(m_Model, subgraphIndex, operatorIndex);
+    CHECK_VALID_SIZE(inputs.size(), 2);
+
+    auto outputs = GetOutputs(m_Model, subgraphIndex, operatorIndex);
+    CHECK_VALID_SIZE(outputs.size(), 1);
+
+    auto layerName = fmt::format("Prelu:{}:{}", subgraphIndex, operatorIndex);
+
+    armnn::TensorInfo inputTensorInfo  = ToTensorInfo(inputs[0]);
+    armnn::TensorInfo alphaTensorInfo  = ToTensorInfo(inputs[1]);
+    armnn::TensorInfo outputTensorInfo  = ToTensorInfo(outputs[0], true);
+    CheckMatchingQuantization(inputTensorInfo, outputTensorInfo, layerName, "Input 0", "Output 0");
+
+    IConnectableLayer* layer = m_Network->AddPreluLayer(layerName.c_str());
+    ARMNN_ASSERT(layer != nullptr);
+    layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo);
+
+    if (IsConstTensor(inputs[1]))
+    {
+        armnn::IInputSlot* slot = &(layer->GetInputSlot(0));
+        RegisterConsumerOfTensor(subgraphIndex, 0, slot);
+
+        auto inputTensorIndexes = AsUnsignedVector(GetInputTensorIds(m_Model, subgraphIndex, operatorIndex));
+
+        auto alphaTensorAndData = CreateConstTensorNonPermuted(inputs[1], alphaTensorInfo);
+        std::string constLayerName = fmt::format("Constant:{}", inputs[1]->name);
+        IConnectableLayer* constLayer =
+                    m_Network->AddConstantLayer(alphaTensorAndData, constLayerName.c_str());
+        ARMNN_ASSERT(constLayer != nullptr);
+
+        constLayer->GetOutputSlot(0).SetTensorInfo(alphaTensorInfo);
+        constLayer->GetOutputSlot(0).Connect(layer->GetInputSlot(1));
+        RegisterOutputSlots(subgraphIndex,
+                            VIRTUAL_OPERATOR_ID,
+                            constLayer,
+                            { inputTensorIndexes[1] });
+    }
+    else
+    {
+        auto inputTensorIndexes = AsUnsignedVector(GetInputTensorIds(m_Model, subgraphIndex, operatorIndex));
+        RegisterInputSlots(subgraphIndex, operatorIndex, layer, inputTensorIndexes);
+    }
+
+    auto outputTensorIndexes = AsUnsignedVector(GetOutputTensorIds(m_Model, subgraphIndex, operatorIndex));
+    RegisterOutputSlots(subgraphIndex, operatorIndex, layer, outputTensorIndexes);
+}
+
 void TfLiteParserImpl::ParseQuantize(size_t subgraphIndex, size_t operatorIndex)
 {
     CHECK_MODEL(m_Model, subgraphIndex, operatorIndex);