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 ff5bf8ba4e..943c6a7fed 100644 --- a/src/armnnDeserializer/Deserializer.cpp +++ b/src/armnnDeserializer/Deserializer.cpp @@ -193,6 +193,7 @@ m_ParserFunctions(Layer_MAX+1, &Deserializer::ParseUnsupportedLayer) m_ParserFunctions[Layer_ConstantLayer] = &Deserializer::ParseConstant; m_ParserFunctions[Layer_Convolution2dLayer] = &Deserializer::ParseConvolution2d; m_ParserFunctions[Layer_DepthwiseConvolution2dLayer] = &Deserializer::ParseDepthwiseConvolution2d; + m_ParserFunctions[Layer_DequantizeLayer] = &Deserializer::ParseDequantize; m_ParserFunctions[Layer_DetectionPostProcessLayer] = &Deserializer::ParseDetectionPostProcess; m_ParserFunctions[Layer_DivisionLayer] = &Deserializer::ParseDivision; m_ParserFunctions[Layer_EqualLayer] = &Deserializer::ParseEqual; @@ -242,6 +243,8 @@ Deserializer::LayerBaseRawPtr Deserializer::GetBaseLayer(const GraphPtr& graphPt return graphPtr->layers()->Get(layerIndex)->layer_as_Convolution2dLayer()->base(); case Layer::Layer_DepthwiseConvolution2dLayer: return graphPtr->layers()->Get(layerIndex)->layer_as_DepthwiseConvolution2dLayer()->base(); + case Layer::Layer_DequantizeLayer: + return graphPtr->layers()->Get(layerIndex)->layer_as_DequantizeLayer()->base(); case Layer::Layer_DetectionPostProcessLayer: return graphPtr->layers()->Get(layerIndex)->layer_as_DetectionPostProcessLayer()->base(); case Layer::Layer_DivisionLayer: @@ -2062,4 +2065,24 @@ void Deserializer::ParseLstm(GraphPtr graph, unsigned int layerIndex) RegisterOutputSlots(graph, layerIndex, layer); } +void Deserializer::ParseDequantize(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); + + const std::string layerName = GetLayerName(graph, layerIndex); + IConnectableLayer* layer = m_Network->AddDequantizeLayer(layerName.c_str()); + + armnn::TensorInfo outputTensorInfo = ToTensorInfo(outputs[0]); + layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); + + RegisterInputSlots(graph, layerIndex, layer); + RegisterOutputSlots(graph, layerIndex, layer); +} + } // namespace armnnDeserializer |