backends/reference: Add ReduceSum operation support

This patch addes ReduceSum operation support for reference backend,
which computes the sum of elements across dimensions of a tensor.

Changelog v1:
- Fix file header descriptions.

Chagelog v2:
- Fix line limit issue.
- Fix type conversion issue.

Changelog v3:
- Remove tabs.
- Modify newly added file headers.

Changelog v4:
- Symbol on header isn't allowed so drop it from newly added file headers.

Changelog v5:
- Remove tabs, fix the use of brackets and align lines correctly.

Changelog v6:
- Add serializer and deserializer support.

Changelog v7:
- Fix build error add missed code.

Changelog v8:
- Rename ReduceSumDecriptor to ReduceDescriptor
    - Update m_KeepDims field data type to bool on ReduceDescriptor
    - Add ReduceOperation field to ReduceDescriptor

- Rename ReduceSumLayer to ReduceLayer
    - Update ReduceLayer to use ReduceDescriptor
    - Update ReduceLayer::ValidateTensorShapesFromInputs() function

- Rename RefReduceSumWokload to RefReduceWorkload
    - Update workload to use ReduceDescriptor
    - Update workload to use Decoders and Encoders

- Remove ReduceSum.hpp and ReduceSum.cpp
- Added Reduce.hpp and Reduce.cpp
     - Move Mean.cpp (which is implementing REDUCE_MEAN) functionality to Reduce.cpp
     - Update RefMeanWorkload to call Reduce function with ReduceOperation::Mean argument

- Remove Mean.hpp and Mean.cpp
- Update the Serializer/Deserializer ArmnnSchema.fbs for ReduceLayer, ReduceDescriptor, and ReduceOperation
- Update Serializer and Deserializer for serializing/parsing ReduceLayer
- Added TfLiter parser Sum test for REDUCE_SUM operator
- Make corresponding changes on front-end and Ref backend to support REDUCE_SUM operator

Changelog v9:
- Fixed build errors.

Change-Id: I8c8e034f3df73f9565b3c18eff51ecca6c542195
Signed-off-by: Inki Dae <inki.dae@samsung.com>
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>

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);