diff options
Diffstat (limited to 'src/armnnDeserializer/Deserializer.cpp')
| -rw-r--r-- | src/armnnDeserializer/Deserializer.cpp | 23 |
1 files changed, 23 insertions, 0 deletions
diff --git a/src/armnnDeserializer/Deserializer.cpp b/src/armnnDeserializer/Deserializer.cpp index 68f3e8d566..b23ed97b4c 100644 --- a/src/armnnDeserializer/Deserializer.cpp +++ b/src/armnnDeserializer/Deserializer.cpp @@ -213,6 +213,7 @@ 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_PreluLayer] = &Deserializer::ParsePrelu; m_ParserFunctions[Layer_QuantizeLayer] = &Deserializer::ParseQuantize; m_ParserFunctions[Layer_ReshapeLayer] = &Deserializer::ParseReshape; m_ParserFunctions[Layer_ResizeBilinearLayer] = &Deserializer::ParseResizeBilinear; @@ -292,6 +293,8 @@ 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_PreluLayer: + return graphPtr->layers()->Get(layerIndex)->layer_as_PreluLayer()->base(); case Layer::Layer_QuantizeLayer: return graphPtr->layers()->Get(layerIndex)->layer_as_QuantizeLayer()->base(); case Layer::Layer_ReshapeLayer: @@ -2194,4 +2197,24 @@ void Deserializer::ParseSwitch(GraphPtr graph, unsigned int layerIndex) RegisterOutputSlots(graph, layerIndex, layer); } +void Deserializer::ParsePrelu(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->AddPreluLayer(layerName.c_str()); + + armnn::TensorInfo outputTensorInfo = ToTensorInfo(outputs[0]); + layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); + + RegisterInputSlots(graph, layerIndex, layer); + RegisterOutputSlots(graph, layerIndex, layer); +} + } // namespace armnnDeserializer |