diff options
Diffstat (limited to 'src/armnnDeserializer/Deserializer.cpp')
| -rw-r--r-- | src/armnnDeserializer/Deserializer.cpp | 41 |
1 files changed, 41 insertions, 0 deletions
diff --git a/src/armnnDeserializer/Deserializer.cpp b/src/armnnDeserializer/Deserializer.cpp index c7049f6a15..b8a1eaa84a 100644 --- a/src/armnnDeserializer/Deserializer.cpp +++ b/src/armnnDeserializer/Deserializer.cpp @@ -198,6 +198,7 @@ m_ParserFunctions(Layer_MAX+1, &Deserializer::ParseUnsupportedLayer) m_ParserFunctions[Layer_MaximumLayer] = &Deserializer::ParseMaximum; m_ParserFunctions[Layer_MultiplicationLayer] = &Deserializer::ParseMultiplication; m_ParserFunctions[Layer_NormalizationLayer] = &Deserializer::ParseNormalization; + m_ParserFunctions[Layer_PadLayer] = &Deserializer::ParsePad; m_ParserFunctions[Layer_PermuteLayer] = &Deserializer::ParsePermute; m_ParserFunctions[Layer_Pooling2dLayer] = &Deserializer::ParsePooling2d; m_ParserFunctions[Layer_ReshapeLayer] = &Deserializer::ParseReshape; @@ -241,6 +242,8 @@ Deserializer::LayerBaseRawPtr Deserializer::GetBaseLayer(const GraphPtr& graphPt return graphPtr->layers()->Get(layerIndex)->layer_as_NormalizationLayer()->base(); case Layer::Layer_OutputLayer: return graphPtr->layers()->Get(layerIndex)->layer_as_OutputLayer()->base()->base(); + case Layer::Layer_PadLayer: + return graphPtr->layers()->Get(layerIndex)->layer_as_PadLayer()->base(); case Layer::Layer_PermuteLayer: return graphPtr->layers()->Get(layerIndex)->layer_as_PermuteLayer()->base(); case Layer::Layer_Pooling2dLayer: @@ -1090,6 +1093,44 @@ void Deserializer::ParseFullyConnected(GraphPtr graph, unsigned int layerIndex) RegisterOutputSlots(graph, layerIndex, layer); } +void Deserializer::ParsePad(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_PadLayer()->descriptor(); + auto flatBufferPadList = flatBufferDescriptor->padList(); + + if (flatBufferPadList->Length() % 2 != 0) + { + throw ParseException(boost::str( + boost::format("The size of the pad list must be divisible by 2 %1%") % CHECK_LOCATION().AsString())); + } + + std::vector<std::pair<unsigned int, unsigned int>> padList; + padList.reserve(flatBufferPadList->Length() / 2); + for (unsigned int i = 0; i < flatBufferPadList->Length() - 1; i += 2) + { + padList.emplace_back(flatBufferPadList->Get(i), flatBufferPadList->Get(i+1)); + } + + armnn::PadDescriptor descriptor(padList); + + auto layerName = GetLayerName(graph, layerIndex); + IConnectableLayer* layer = m_Network->AddPadLayer(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::ParsePermute(GraphPtr graph, unsigned int layerIndex) { CHECK_LAYERS(graph, 0, layerIndex); |