diff options
Diffstat (limited to 'src/armnnDeserializer/Deserializer.cpp')
-rw-r--r-- | src/armnnDeserializer/Deserializer.cpp | 33 |
1 files changed, 32 insertions, 1 deletions
diff --git a/src/armnnDeserializer/Deserializer.cpp b/src/armnnDeserializer/Deserializer.cpp index 79713d4dbe..96879bb65a 100644 --- a/src/armnnDeserializer/Deserializer.cpp +++ b/src/armnnDeserializer/Deserializer.cpp @@ -198,8 +198,9 @@ m_ParserFunctions(Layer_MAX+1, &Deserializer::ParseUnsupportedLayer) m_ParserFunctions[Layer_FloorLayer] = &Deserializer::ParseFloor; m_ParserFunctions[Layer_GatherLayer] = &Deserializer::ParseGather; m_ParserFunctions[Layer_GreaterLayer] = &Deserializer::ParseGreater; - m_ParserFunctions[Layer_MinimumLayer] = &Deserializer::ParseMinimum; m_ParserFunctions[Layer_MaximumLayer] = &Deserializer::ParseMaximum; + m_ParserFunctions[Layer_MeanLayer] = &Deserializer::ParseMean; + m_ParserFunctions[Layer_MinimumLayer] = &Deserializer::ParseMinimum; m_ParserFunctions[Layer_MultiplicationLayer] = &Deserializer::ParseMultiplication; m_ParserFunctions[Layer_NormalizationLayer] = &Deserializer::ParseNormalization; m_ParserFunctions[Layer_PadLayer] = &Deserializer::ParsePad; @@ -248,6 +249,8 @@ Deserializer::LayerBaseRawPtr Deserializer::GetBaseLayer(const GraphPtr& graphPt return graphPtr->layers()->Get(layerIndex)->layer_as_GreaterLayer()->base(); case Layer::Layer_InputLayer: return graphPtr->layers()->Get(layerIndex)->layer_as_InputLayer()->base()->base(); + case Layer::Layer_MeanLayer: + return graphPtr->layers()->Get(layerIndex)->layer_as_MeanLayer()->base(); case Layer::Layer_MinimumLayer: return graphPtr->layers()->Get(layerIndex)->layer_as_MinimumLayer()->base(); case Layer::Layer_MaximumLayer: @@ -1733,4 +1736,32 @@ void Deserializer::ParseGather(GraphPtr graph, unsigned int layerIndex) RegisterOutputSlots(graph, layerIndex, layer); } +void Deserializer::ParseMean(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); + + auto flatBufferDescriptor = graph->layers()->Get(layerIndex)->layer_as_MeanLayer()->descriptor(); + auto flatBufferAxis = flatBufferDescriptor->axis(); + auto flatBufferKeepDims = flatBufferDescriptor->keepDims(); + + armnn::MeanDescriptor descriptor; + descriptor.m_Axis = std::vector<unsigned int>(flatBufferAxis->begin(), flatBufferAxis->end()); + descriptor.m_KeepDims = flatBufferKeepDims; + + auto layerName = GetLayerName(graph, layerIndex); + IConnectableLayer* layer = m_Network->AddMeanLayer(descriptor, layerName.c_str()); + + armnn::TensorInfo outputTensorInfo = ToTensorInfo(outputs[0]); + layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); + + RegisterInputSlots(graph, layerIndex, layer); + RegisterOutputSlots(graph, layerIndex, layer); +} + } // namespace armnnDeserializer |