| // |
| // Copyright © 2023 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "RefElementwiseBinaryWorkload.hpp" |
| |
| #include "Decoders.hpp" |
| #include "ElementwiseFunction.hpp" |
| #include "Encoders.hpp" |
| #include "RefWorkloadUtils.hpp" |
| #include "Maximum.hpp" |
| #include "Minimum.hpp" |
| #include "SquaredDifference.hpp" |
| #include "Power.hpp" |
| |
| #include <Profiling.hpp> |
| |
| #include <armnn/TypesUtils.hpp> |
| |
| #include <functional> |
| |
| namespace armnn |
| { |
| |
| template<typename DataType> |
| void ExecuteFunction(std::vector<ITensorHandle*> inputs, |
| std::vector<ITensorHandle*> outputs, |
| BinaryOperation operation) |
| { |
| const TensorInfo& inputInfo0 = GetTensorInfo(inputs[0]); |
| const TensorInfo& inputInfo1 = GetTensorInfo(inputs[1]); |
| const TensorInfo& outputInfo = GetTensorInfo(outputs[0]); |
| |
| const TensorShape& inShape0 = inputInfo0.GetShape(); |
| const TensorShape& inShape1 = inputInfo1.GetShape(); |
| const TensorShape& outShape = outputInfo.GetShape(); |
| |
| std::unique_ptr<Decoder<DataType>> input0 = MakeDecoder<DataType>(inputInfo0, inputs[0]->Map()); |
| std::unique_ptr<Decoder<DataType>> input1 = MakeDecoder<DataType>(inputInfo1, inputs[1]->Map()); |
| std::unique_ptr<Encoder<DataType>> output = MakeEncoder<DataType>(outputInfo, outputs[0]->Map()); |
| |
| using AddFunction = ElementwiseBinaryFunction<std::plus<DataType>>; |
| using DivFunction = ElementwiseBinaryFunction<std::divides<DataType>>; |
| using MaximumFunction = ElementwiseBinaryFunction<armnn::maximum<DataType>>; |
| using MinimumFunction = ElementwiseBinaryFunction<armnn::minimum<DataType>>; |
| using MulFunction = ElementwiseBinaryFunction<std::multiplies<DataType>>; |
| using SubFunction = ElementwiseBinaryFunction<std::minus<DataType>>; |
| using SqDiffFunction = ElementwiseBinaryFunction<armnn::squaredDifference<DataType>>; |
| using PowerFunction = ElementwiseBinaryFunction<armnn::power<DataType>>; |
| |
| switch (operation) |
| { |
| case BinaryOperation::Add: |
| { |
| AddFunction(inShape0, inShape1, outShape, *input0, *input1, *output); |
| break; |
| } |
| case BinaryOperation::Div: |
| { |
| DivFunction(inShape0, inShape1, outShape, *input0, *input1, *output); |
| break; |
| } |
| case BinaryOperation::Maximum: |
| { |
| MaximumFunction(inShape0, inShape1, outShape, *input0, *input1, *output); |
| break; |
| } |
| case BinaryOperation::Minimum: |
| { |
| MinimumFunction(inShape0, inShape1, outShape, *input0, *input1, *output); |
| break; |
| } |
| case BinaryOperation::Mul: |
| { |
| MulFunction(inShape0, inShape1, outShape, *input0, *input1, *output); |
| break; |
| } |
| case BinaryOperation::Sub: |
| { |
| SubFunction(inShape0, inShape1, outShape, *input0, *input1, *output); |
| break; |
| } |
| case BinaryOperation::SqDiff: |
| { |
| SqDiffFunction(inShape0, inShape1, outShape, *input0, *input1, *output); |
| break; |
| } |
| case BinaryOperation::Power: |
| { |
| PowerFunction(inShape0, inShape1, outShape, *input0, *input1, *output); |
| break; |
| } |
| default: |
| { |
| throw InvalidArgumentException(std::string("Unsupported binary operation ") + |
| GetBinaryOperationAsCString(operation), CHECK_LOCATION()); |
| } |
| } |
| } |
| |
| RefElementwiseBinaryWorkload::RefElementwiseBinaryWorkload(const ElementwiseBinaryQueueDescriptor& desc, |
| const WorkloadInfo& info) |
| : RefBaseWorkload<ElementwiseBinaryQueueDescriptor>(desc, info) |
| {} |
| |
| void RefElementwiseBinaryWorkload::Execute() const |
| { |
| Execute(m_Data.m_Inputs, m_Data.m_Outputs); |
| } |
| |
| void RefElementwiseBinaryWorkload::ExecuteAsync(ExecutionData& executionData) |
| { |
| |
| WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data); |
| Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs); |
| } |
| |
| void RefElementwiseBinaryWorkload::Execute(std::vector<ITensorHandle*> inputs, |
| std::vector<ITensorHandle*> outputs) const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID("RefElementwiseBinaryWorkload_Execute"); |
| |
| if (GetTensorInfo(inputs[0]).GetDataType() == DataType::Signed32) |
| { |
| ExecuteFunction<int32_t>(inputs, outputs, m_Data.m_Parameters.m_Operation); |
| } |
| else |
| { |
| ExecuteFunction<float>(inputs, outputs, m_Data.m_Parameters.m_Operation); |
| } |
| } |
| |
| } // namespace armnn |