From 0c3ea5b8ac5ad8ca516930a0491afb1d1074e45b Mon Sep 17 00:00:00 2001 From: Sadik Armagan Date: Wed, 3 Feb 2021 09:29:30 +0000 Subject: 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 Signed-off-by: Sadik Armagan --- src/armnnSerializer/test/SerializerTests.cpp | 30 ++++++++++++++++++++++++++++ 1 file changed, 30 insertions(+) (limited to 'src/armnnSerializer/test/SerializerTests.cpp') diff --git a/src/armnnSerializer/test/SerializerTests.cpp b/src/armnnSerializer/test/SerializerTests.cpp index 11177f5d04..44e8a3898e 100644 --- a/src/armnnSerializer/test/SerializerTests.cpp +++ b/src/armnnSerializer/test/SerializerTests.cpp @@ -2297,6 +2297,36 @@ BOOST_AUTO_TEST_CASE(SerializeRank) deserializedNetwork->Accept(verifier); } +BOOST_AUTO_TEST_CASE(SerializeReduceSum) +{ + DECLARE_LAYER_VERIFIER_CLASS_WITH_DESCRIPTOR(Reduce) + + const std::string layerName("Reduce_Sum"); + const armnn::TensorInfo inputInfo({1, 1, 3, 2}, armnn::DataType::Float32); + const armnn::TensorInfo outputInfo({1, 1, 1, 2}, armnn::DataType::Float32); + + armnn::ReduceDescriptor descriptor; + descriptor.m_vAxis = { 2 }; + descriptor.m_ReduceOperation = armnn::ReduceOperation::Sum; + + armnn::INetworkPtr network = armnn::INetwork::Create(); + armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); + armnn::IConnectableLayer* const reduceSumLayer = network->AddReduceLayer(descriptor, layerName.c_str()); + armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); + + inputLayer->GetOutputSlot(0).Connect(reduceSumLayer->GetInputSlot(0)); + reduceSumLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); + + inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); + reduceSumLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); + + armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); + BOOST_CHECK(deserializedNetwork); + + ReduceLayerVerifier verifier(layerName, {inputInfo}, {outputInfo}, descriptor); + deserializedNetwork->Accept(verifier); +} + BOOST_AUTO_TEST_CASE(SerializeReshape) { DECLARE_LAYER_VERIFIER_CLASS_WITH_DESCRIPTOR(Reshape) -- cgit v1.2.1