diff options
Diffstat (limited to 'src/armnnDeserializer/Deserializer.cpp')
| -rw-r--r-- | src/armnnDeserializer/Deserializer.cpp | 48 |
1 files changed, 48 insertions, 0 deletions
diff --git a/src/armnnDeserializer/Deserializer.cpp b/src/armnnDeserializer/Deserializer.cpp index 90ca6d3f9a..0569d8b000 100644 --- a/src/armnnDeserializer/Deserializer.cpp +++ b/src/armnnDeserializer/Deserializer.cpp @@ -225,6 +225,7 @@ m_ParserFunctions(Layer_MAX+1, &Deserializer::ParseUnsupportedLayer) m_ParserFunctions[Layer_StridedSliceLayer] = &Deserializer::ParseStridedSlice; m_ParserFunctions[Layer_SubtractionLayer] = &Deserializer::ParseSubtraction; m_ParserFunctions[Layer_SwitchLayer] = &Deserializer::ParseSwitch; + m_ParserFunctions[Layer_TransposeConvolution2dLayer] = &Deserializer::ParseTransposeConvolution2d; } Deserializer::LayerBaseRawPtr Deserializer::GetBaseLayer(const GraphPtr& graphPtr, unsigned int layerIndex) @@ -317,6 +318,8 @@ Deserializer::LayerBaseRawPtr Deserializer::GetBaseLayer(const GraphPtr& graphPt return graphPtr->layers()->Get(layerIndex)->layer_as_SubtractionLayer()->base(); case Layer::Layer_SwitchLayer: return graphPtr->layers()->Get(layerIndex)->layer_as_SwitchLayer()->base(); + case Layer::Layer_TransposeConvolution2dLayer: + return graphPtr->layers()->Get(layerIndex)->layer_as_TransposeConvolution2dLayer()->base(); case Layer::Layer_NONE: default: throw ParseException(boost::str( @@ -2218,4 +2221,49 @@ void Deserializer::ParsePrelu(GraphPtr graph, unsigned int layerIndex) RegisterOutputSlots(graph, layerIndex, layer); } +void Deserializer::ParseTransposeConvolution2d(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 serializerLayer = graph->layers()->Get(layerIndex)->layer_as_TransposeConvolution2dLayer(); + auto layerName = GetLayerName(graph, layerIndex); + auto serializerDescriptor = serializerLayer->descriptor(); + + armnn::TransposeConvolution2dDescriptor descriptor; + descriptor.m_PadLeft = serializerDescriptor->padLeft(); + descriptor.m_PadRight = serializerDescriptor->padRight(); + descriptor.m_PadTop = serializerDescriptor->padTop(); + descriptor.m_PadBottom = serializerDescriptor->padBottom(); + descriptor.m_StrideX = serializerDescriptor->strideX(); + descriptor.m_StrideY = serializerDescriptor->strideY();; + descriptor.m_BiasEnabled = serializerDescriptor->biasEnabled();; + descriptor.m_DataLayout = ToDataLayout(serializerDescriptor->dataLayout()); + + // weights & biases + armnn::ConstTensor weights = ToConstTensor(serializerLayer->weights()); + armnn::Optional<armnn::ConstTensor> optionalBiases; + if (descriptor.m_BiasEnabled) + { + armnn::ConstTensor biases = ToConstTensor(serializerLayer->biases()); + optionalBiases = armnn::MakeOptional<armnn::ConstTensor>(biases); + } + + IConnectableLayer* layer = m_Network->AddTransposeConvolution2dLayer(descriptor, + weights, + optionalBiases, + layerName.c_str()); + + armnn::TensorInfo outputTensorInfo = ToTensorInfo(outputs[0]); + layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); + + RegisterInputSlots(graph, layerIndex, layer); + RegisterOutputSlots(graph, layerIndex, layer); +} + } // namespace armnnDeserializer |