// // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // #include "NeonSubtractionWorkload.hpp" #include "NeonWorkloadUtils.hpp" #include #include #include #include #include namespace armnn { arm_compute::Status NeonSubtractionWorkloadValidate(const TensorInfo& input0, const TensorInfo& input1, const TensorInfo& output, 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); return arm_compute::NEArithmeticSubtraction::validate(&aclInput0, &aclInput1, &aclOutput, arm_compute::ConvertPolicy::SATURATE, activationInfo); } NeonSubtractionWorkload::NeonSubtractionWorkload(const SubtractionQueueDescriptor& descriptor, const WorkloadInfo& info) : NeonBaseWorkload(descriptor, info) { m_Data.ValidateInputsOutputs("NeonSubtractionWorkload", 2, 1); arm_compute::ITensor& input1 = PolymorphicDowncast(m_Data.m_Inputs[0])->GetTensor(); arm_compute::ITensor& input2 = PolymorphicDowncast(m_Data.m_Inputs[1])->GetTensor(); arm_compute::ITensor& output = PolymorphicDowncast(m_Data.m_Outputs[0])->GetTensor(); const arm_compute::ActivationLayerInfo activationInfo = ConvertAdditionalInfoToAclActivationLayerInfo(descriptor); auto layer = std::make_unique(); layer->configure(&input1, &input2, &output, arm_compute::ConvertPolicy::SATURATE, activationInfo); m_SubLayer.reset(layer.release()); } void NeonSubtractionWorkload::Execute() const { ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonSubtractionWorkload_Execute", this->GetGuid()); m_SubLayer->run(); } } //namespace armnn