diff options
Diffstat (limited to 'src/armnnDeserializer/Deserializer.cpp')
| -rw-r--r-- | src/armnnDeserializer/Deserializer.cpp | 52 |
1 files changed, 52 insertions, 0 deletions
diff --git a/src/armnnDeserializer/Deserializer.cpp b/src/armnnDeserializer/Deserializer.cpp index 14c2af4fe1..e98ff15aa9 100644 --- a/src/armnnDeserializer/Deserializer.cpp +++ b/src/armnnDeserializer/Deserializer.cpp @@ -251,6 +251,7 @@ m_ParserFunctions(Layer_MAX+1, &IDeserializer::DeserializerImpl::ParseUnsupporte m_ParserFunctions[Layer_QuantizeLayer] = &DeserializerImpl::ParseQuantize; m_ParserFunctions[Layer_QuantizedLstmLayer] = &DeserializerImpl::ParseQuantizedLstm; m_ParserFunctions[Layer_RankLayer] = &DeserializerImpl::ParseRank; + m_ParserFunctions[Layer_ReduceLayer] = &DeserializerImpl::ParseReduce; m_ParserFunctions[Layer_ReshapeLayer] = &DeserializerImpl::ParseReshape; m_ParserFunctions[Layer_ResizeBilinearLayer] = &DeserializerImpl::ParseResizeBilinear; m_ParserFunctions[Layer_ResizeLayer] = &DeserializerImpl::ParseResize; @@ -363,6 +364,8 @@ LayerBaseRawPtr IDeserializer::DeserializerImpl::GetBaseLayer(const GraphPtr& gr return graphPtr->layers()->Get(layerIndex)->layer_as_QuantizedLstmLayer()->base(); case Layer::Layer_RankLayer: return graphPtr->layers()->Get(layerIndex)->layer_as_RankLayer()->base(); + case Layer::Layer_ReduceLayer: + return graphPtr->layers()->Get(layerIndex)->layer_as_ReduceLayer()->base(); case Layer::Layer_ReshapeLayer: return graphPtr->layers()->Get(layerIndex)->layer_as_ReshapeLayer()->base(); case Layer::Layer_ResizeBilinearLayer: @@ -498,6 +501,23 @@ armnn::ComparisonOperation ToComparisonOperation(armnnSerializer::ComparisonOper } } +armnn::ReduceOperation ToReduceOperation(armnnSerializer::ReduceOperation operation) +{ + switch (operation) + { + case armnnSerializer::ReduceOperation::ReduceOperation_Sum: + return armnn::ReduceOperation::Sum; + case armnnSerializer::ReduceOperation::ReduceOperation_Max: + return armnn::ReduceOperation::Max; + case armnnSerializer::ReduceOperation::ReduceOperation_Mean: + return armnn::ReduceOperation::Mean; + case armnnSerializer::ReduceOperation::ReduceOperation_Min: + return armnn::ReduceOperation::Min; + default: + return armnn::ReduceOperation::Sum; + } +} + armnn::LogicalBinaryOperation ToLogicalBinaryOperation(armnnSerializer::LogicalBinaryOperation operation) { switch (operation) @@ -2082,6 +2102,38 @@ void IDeserializer::DeserializerImpl::ParseRank(GraphPtr graph, unsigned int lay RegisterOutputSlots(graph, layerIndex, layer); } +void IDeserializer::DeserializerImpl::ParseReduce(GraphPtr graph, unsigned int layerIndex) +{ + CHECK_LAYERS(graph, 0, layerIndex); + CHECK_LOCATION(); + + auto inputs = GetInputs(graph, layerIndex); + CHECK_VALID_SIZE(inputs.size(), 1); + + auto outputs = GetOutputs(graph, layerIndex); + CHECK_VALID_SIZE(outputs.size(), 1); + + auto fbLayer = graph->layers()->Get(layerIndex)->layer_as_ReduceLayer(); + auto fbDescriptor = fbLayer->descriptor(); + auto flatBufferAxis = fbDescriptor->axis(); + + armnn::ReduceDescriptor descriptor; + descriptor.m_TargetHeight = fbDescriptor->targetHeight(); + descriptor.m_TargetWidth = fbDescriptor->targetWidth(); + descriptor.m_KeepDims = fbDescriptor->keepDims(); + descriptor.m_vAxis = std::vector<unsigned int>(flatBufferAxis->begin(), flatBufferAxis->end()); + descriptor.m_ReduceOperation = ToReduceOperation(fbDescriptor->reduceOperation()); + + const std::string& layerName = GetLayerName(graph, layerIndex); + IConnectableLayer* layer = m_Network->AddReduceLayer(descriptor, layerName.c_str()); + + armnn::TensorInfo outputTensorInfo = ToTensorInfo(outputs[0]); + layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); + + RegisterInputSlots(graph, layerIndex, layer); + RegisterOutputSlots(graph, layerIndex, layer); +} + void IDeserializer::DeserializerImpl::ParseReshape(GraphPtr graph, unsigned int layerIndex) { CHECK_LAYERS(graph, 0, layerIndex); |