diff options
Diffstat (limited to 'src/armnnDeserializer/Deserializer.cpp')
-rw-r--r-- | src/armnnDeserializer/Deserializer.cpp | 27 |
1 files changed, 27 insertions, 0 deletions
diff --git a/src/armnnDeserializer/Deserializer.cpp b/src/armnnDeserializer/Deserializer.cpp index 960d300fa5..67836c5843 100644 --- a/src/armnnDeserializer/Deserializer.cpp +++ b/src/armnnDeserializer/Deserializer.cpp @@ -206,6 +206,7 @@ m_ParserFunctions(Layer_MAX+1, &Deserializer::ParseUnsupportedLayer) m_ParserFunctions[Layer_GreaterLayer] = &Deserializer::ParseGreater; m_ParserFunctions[Layer_InstanceNormalizationLayer] = &Deserializer::ParseInstanceNormalization; m_ParserFunctions[Layer_L2NormalizationLayer] = &Deserializer::ParseL2Normalization; + m_ParserFunctions[Layer_LogSoftmaxLayer] = &Deserializer::ParseLogSoftmax; m_ParserFunctions[Layer_LstmLayer] = &Deserializer::ParseLstm; m_ParserFunctions[Layer_MaximumLayer] = &Deserializer::ParseMaximum; m_ParserFunctions[Layer_MeanLayer] = &Deserializer::ParseMean; @@ -286,6 +287,8 @@ Deserializer::LayerBaseRawPtr Deserializer::GetBaseLayer(const GraphPtr& graphPt return graphPtr->layers()->Get(layerIndex)->layer_as_InstanceNormalizationLayer()->base(); case Layer::Layer_L2NormalizationLayer: return graphPtr->layers()->Get(layerIndex)->layer_as_L2NormalizationLayer()->base(); + case Layer::Layer_LogSoftmaxLayer: + return graphPtr->layers()->Get(layerIndex)->layer_as_LogSoftmaxLayer()->base(); case Layer::Layer_LstmLayer: return graphPtr->layers()->Get(layerIndex)->layer_as_LstmLayer()->base(); case Layer::Layer_MeanLayer: @@ -1351,6 +1354,30 @@ void Deserializer::ParseL2Normalization(GraphPtr graph, unsigned int layerIndex) RegisterOutputSlots(graph, layerIndex, layer); } +void Deserializer::ParseLogSoftmax(GraphPtr graph, unsigned int layerIndex) +{ + CHECK_LAYERS(graph, 0, layerIndex); + + Deserializer::TensorRawPtrVector inputs = GetInputs(graph, layerIndex); + CHECK_VALID_SIZE(inputs.size(), 1); + + Deserializer::TensorRawPtrVector outputs = GetOutputs(graph, layerIndex); + CHECK_VALID_SIZE(outputs.size(), 1); + + armnn::LogSoftmaxDescriptor descriptor; + descriptor.m_Beta = graph->layers()->Get(layerIndex)->layer_as_LogSoftmaxLayer()->descriptor()->beta(); + descriptor.m_Axis = graph->layers()->Get(layerIndex)->layer_as_LogSoftmaxLayer()->descriptor()->axis(); + auto layerName = GetLayerName(graph, layerIndex); + + IConnectableLayer* layer = m_Network->AddLogSoftmaxLayer(descriptor, layerName.c_str()); + + armnn::TensorInfo outputTensorInfo = ToTensorInfo(outputs[0]); + layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); + + RegisterInputSlots(graph, layerIndex, layer); + RegisterOutputSlots(graph, layerIndex, layer); +} + void Deserializer::ParseMinimum(GraphPtr graph, unsigned int layerIndex) { CHECK_LAYERS(graph, 0, layerIndex); |