From 77bfb5e32faadb1383d48364a6f54adbff84ad80 Mon Sep 17 00:00:00 2001 From: Aron Virginas-Tar Date: Wed, 16 Oct 2019 17:45:38 +0100 Subject: IVGCVSW-3993 Add frontend and reference workload for ComparisonLayer * Added frontend for ComparisonLayer * Added RefComparisonWorkload * Deprecated and removed Equal and Greater layers and workloads * Updated tests to ensure backward compatibility Signed-off-by: Aron Virginas-Tar Change-Id: Id50c880be1b567c531efff919c0c366d0a71cbe9 --- .../reference/workloads/RefComparisonWorkload.cpp | 102 +++++++++++++++++++++ 1 file changed, 102 insertions(+) create mode 100644 src/backends/reference/workloads/RefComparisonWorkload.cpp (limited to 'src/backends/reference/workloads/RefComparisonWorkload.cpp') diff --git a/src/backends/reference/workloads/RefComparisonWorkload.cpp b/src/backends/reference/workloads/RefComparisonWorkload.cpp new file mode 100644 index 0000000000..60446226be --- /dev/null +++ b/src/backends/reference/workloads/RefComparisonWorkload.cpp @@ -0,0 +1,102 @@ +// +// Copyright © 2019 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "RefComparisonWorkload.hpp" + +#include "Decoders.hpp" +#include "ElementwiseFunction.hpp" +#include "Encoders.hpp" +#include "RefWorkloadUtils.hpp" + +#include + +#include + +#include + +namespace armnn +{ + +RefComparisonWorkload::RefComparisonWorkload(const ComparisonQueueDescriptor& desc, + const WorkloadInfo& info) + : BaseWorkload(desc, info) +{} + +void RefComparisonWorkload::PostAllocationConfigure() +{ + const TensorInfo& inputInfo0 = GetTensorInfo(m_Data.m_Inputs[0]); + const TensorInfo& inputInfo1 = GetTensorInfo(m_Data.m_Inputs[1]); + const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]); + + m_Input0 = MakeDecoder(inputInfo0); + m_Input1 = MakeDecoder(inputInfo1); + + m_Output = MakeEncoder(outputInfo); +} + +void RefComparisonWorkload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefComparisonWorkload_Execute"); + + const TensorInfo& inputInfo0 = GetTensorInfo(m_Data.m_Inputs[0]); + const TensorInfo& inputInfo1 = GetTensorInfo(m_Data.m_Inputs[1]); + const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]); + + const TensorShape& inShape0 = inputInfo0.GetShape(); + const TensorShape& inShape1 = inputInfo1.GetShape(); + const TensorShape& outShape = outputInfo.GetShape(); + + m_Input0->Reset(m_Data.m_Inputs[0]->Map()); + m_Input1->Reset(m_Data.m_Inputs[1]->Map()); + m_Output->Reset(m_Data.m_Outputs[0]->Map()); + + using EqualFunction = ElementwiseFunction>; + using GreaterFunction = ElementwiseFunction>; + using GreaterOrEqualFunction = ElementwiseFunction>; + using LessFunction = ElementwiseFunction>; + using LessOrEqualFunction = ElementwiseFunction>; + using NotEqualFunction = ElementwiseFunction>; + + switch (m_Data.m_Parameters.m_Operation) + { + case ComparisonOperation::Equal: + { + EqualFunction(inShape0, inShape1, outShape, *m_Input0, *m_Input1, *m_Output); + break; + } + case ComparisonOperation::Greater: + { + GreaterFunction(inShape0, inShape1, outShape, *m_Input0, *m_Input1, *m_Output); + break; + } + case ComparisonOperation::GreaterOrEqual: + { + GreaterOrEqualFunction(inShape0, inShape1, outShape, *m_Input0, *m_Input1, *m_Output); + break; + } + case ComparisonOperation::Less: + { + LessFunction(inShape0, inShape1, outShape, *m_Input0, *m_Input1, *m_Output); + break; + } + case ComparisonOperation::LessOrEqual: + { + LessOrEqualFunction(inShape0, inShape1, outShape, *m_Input0, *m_Input1, *m_Output); + break; + } + case ComparisonOperation::NotEqual: + { + NotEqualFunction(inShape0, inShape1, outShape, *m_Input0, *m_Input1, *m_Output); + break; + } + default: + { + throw InvalidArgumentException(std::string("Unsupported comparison operation ") + + GetComparisonOperationAsCString(m_Data.m_Parameters.m_Operation), CHECK_LOCATION()); + } + } +} + +} // namespace armnn -- cgit v1.2.1