| // |
| // Copyright © 2023 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "ClElementwiseBinaryWorkload.hpp" |
| |
| #include <cl/ClTensorHandle.hpp> |
| #include <armnn/backends/TensorHandle.hpp> |
| #include <aclCommon/ArmComputeTensorUtils.hpp> |
| #include <aclCommon/ArmComputeUtils.hpp> |
| |
| #include "ClWorkloadUtils.hpp" |
| |
| namespace armnn |
| { |
| using namespace armcomputetensorutils; |
| |
| ClElementwiseBinaryWorkload::ClElementwiseBinaryWorkload(const ElementwiseBinaryQueueDescriptor& descriptor, |
| const WorkloadInfo& info, |
| const arm_compute::CLCompileContext& clCompileContext) |
| : ClBaseWorkload<ElementwiseBinaryQueueDescriptor>(descriptor, info) |
| { |
| this->m_Data.ValidateInputsOutputs("ClElementwiseBinaryWorkload", 2, 1); |
| |
| arm_compute::ICLTensor &input0 = static_cast<IClTensorHandle *>(this->m_Data.m_Inputs[0])->GetTensor(); |
| arm_compute::ICLTensor &input1 = static_cast<IClTensorHandle *>(this->m_Data.m_Inputs[1])->GetTensor(); |
| arm_compute::ICLTensor &output = static_cast<IClTensorHandle *>(this->m_Data.m_Outputs[0])->GetTensor(); |
| |
| const arm_compute::ActivationLayerInfo activationInfo = ConvertAdditionalInfoToAclActivationLayerInfo(descriptor); |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID("ClElementwiseBinaryWorkload_configure"); |
| |
| switch (descriptor.m_Parameters.m_Operation) |
| { |
| case armnn::BinaryOperation::Power: |
| { |
| auto powerLayer = std::make_unique<arm_compute::CLElementwisePower>(); |
| powerLayer->configure(clCompileContext, &input0, &input1, &output, activationInfo); |
| m_ElementwiseBinaryLayer.reset(powerLayer.release()); |
| break; |
| } |
| case armnn::BinaryOperation::SqDiff: |
| { |
| auto SqDiffLayer = std::make_unique<arm_compute::CLElementwiseSquaredDiff>(); |
| SqDiffLayer->configure(clCompileContext, &input0, &input1, &output, activationInfo); |
| m_ElementwiseBinaryLayer.reset(SqDiffLayer.release()); |
| break; |
| } |
| default: |
| throw InvalidArgumentException("Unknown binary operator", CHECK_LOCATION()); |
| } |
| } |
| } |
| void ClElementwiseBinaryWorkload::Execute() const |
| { |
| if (m_ElementwiseBinaryLayer) |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID("ClElementwiseBinaryWorkload_Execute"); |
| m_ElementwiseBinaryLayer->run(); |
| } |
| } |
| |
| arm_compute::Status ClElementwiseBinaryValidate(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output, |
| const ElementwiseBinaryDescriptor& descriptor, |
| const ActivationDescriptor* activationDescriptor) |
| { |
| const arm_compute::TensorInfo aclInput0Info = BuildArmComputeTensorInfo(input0); |
| const arm_compute::TensorInfo aclInput1Info = BuildArmComputeTensorInfo(input1); |
| const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output); |
| |
| const arm_compute::ActivationLayerInfo activationInfo = ConvertActivationDescriptorToAclActivationLayerInfo( |
| activationDescriptor); |
| |
| switch (descriptor.m_Operation) |
| { |
| case armnn::BinaryOperation::Power: |
| return arm_compute::CLElementwisePower::validate(&aclInput0Info, |
| &aclInput1Info, |
| &aclOutputInfo, |
| activationInfo); |
| case armnn::BinaryOperation::SqDiff: |
| return arm_compute::CLElementwiseSquaredDiff::validate(&aclInput0Info, |
| &aclInput1Info, |
| &aclOutputInfo, |
| activationInfo); |
| default: |
| throw InvalidArgumentException("Unknown binary operator", CHECK_LOCATION()); |
| } |
| } |
| |
| } //namespace armnn |