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Diffstat (limited to 'src/backends/neon/workloads/NeonElementwiseBinaryWorkload.cpp')
| -rw-r--r-- | src/backends/neon/workloads/NeonElementwiseBinaryWorkload.cpp | 92 |
1 files changed, 92 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/NeonElementwiseBinaryWorkload.cpp b/src/backends/neon/workloads/NeonElementwiseBinaryWorkload.cpp new file mode 100644 index 0000000000..839ec6c5ad --- /dev/null +++ b/src/backends/neon/workloads/NeonElementwiseBinaryWorkload.cpp @@ -0,0 +1,92 @@ +// +// Copyright © 2023 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "NeonElementwiseBinaryWorkload.hpp" +#include "NeonWorkloadUtils.hpp" + +#include <aclCommon/ArmComputeTensorUtils.hpp> +#include <aclCommon/ArmComputeUtils.hpp> + +#include <armnn/utility/PolymorphicDowncast.hpp> +#include <armnn/backends/TensorHandle.hpp> + +#include <arm_compute/runtime/NEON/functions/NEElementwiseOperations.h> + +namespace armnn +{ + +arm_compute::Status NeonElementwiseBinaryWorkloadValidate(const TensorInfo& input0, + const TensorInfo& input1, + const TensorInfo& output, + const ElementwiseBinaryDescriptor& descriptor, + const ActivationDescriptor* activationDescriptor) +{ + const arm_compute::TensorInfo aclInput0 = armcomputetensorutils::BuildArmComputeTensorInfo(input0); + const arm_compute::TensorInfo aclInput1 = armcomputetensorutils::BuildArmComputeTensorInfo(input1); + const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output); + + const arm_compute::ActivationLayerInfo activationInfo = ConvertActivationDescriptorToAclActivationLayerInfo( + activationDescriptor); + + switch (descriptor.m_Operation) + { + case armnn::BinaryOperation::Power: + return arm_compute::NEElementwisePower::validate(&aclInput0, + &aclInput1, + &aclOutput, + activationInfo); + case armnn::BinaryOperation::SqDiff: + return arm_compute::NEElementwiseSquaredDiff::validate(&aclInput0, + &aclInput1, + &aclOutput, + activationInfo); + default: + throw InvalidArgumentException("Unknown binary operator", CHECK_LOCATION()); + } +} + + +NeonElementwiseBinaryWorkload::NeonElementwiseBinaryWorkload(const ElementwiseBinaryQueueDescriptor& descriptor, + const WorkloadInfo& info) + : NeonBaseWorkload<ElementwiseBinaryQueueDescriptor>(descriptor, info) +{ + m_Data.ValidateInputsOutputs("NeonElementwiseBinaryWorkload", 2, 1); + + arm_compute::ITensor& input1 = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); + arm_compute::ITensor& input2 = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[1])->GetTensor(); + arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); + + const arm_compute::ActivationLayerInfo activationInfo = ConvertAdditionalInfoToAclActivationLayerInfo(descriptor); + + ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "NeonElementwiseBinaryWorkload_configure"); + + switch (descriptor.m_Parameters.m_Operation) + { + case armnn::BinaryOperation::Power: + { + auto powerLayer = std::make_unique<arm_compute::NEElementwisePower>(); + powerLayer->configure(&input1, &input2, &output, activationInfo); + m_ElementwiseBinaryLayer.reset(powerLayer.release()); + break; + } + case armnn::BinaryOperation::SqDiff: + { + auto SqDiffLayer = std::make_unique<arm_compute::NEElementwiseSquaredDiff>(); + SqDiffLayer->configure(&input1, &input2, &output, activationInfo); + m_ElementwiseBinaryLayer.reset(SqDiffLayer.release()); + break; + } + default: + throw InvalidArgumentException("Unknown binary operator", CHECK_LOCATION()); + } +} + +void NeonElementwiseBinaryWorkload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonElementwiseBinaryWorkload_Execute", this->GetGuid()); + m_ElementwiseBinaryLayer->run(); +} + +} //namespace armnn
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