// // Copyright © 2017 Arm Ltd. All rights reserved. // SPDX-License-Identifier: MIT // #include "NeonSubtractionFloatWorkload.hpp" #include #include namespace armnn { arm_compute::Status NeonSubtractionWorkloadValidate(const TensorInfo& input0, const TensorInfo& input1, const TensorInfo& output) { const arm_compute::TensorInfo aclInput0 = armcomputetensorutils::BuildArmComputeTensorInfo(input0); const arm_compute::TensorInfo aclInput1 = armcomputetensorutils::BuildArmComputeTensorInfo(input1); const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output); return arm_compute::NEArithmeticSubtraction::validate(&aclInput0, &aclInput1, &aclOutput, arm_compute::ConvertPolicy::SATURATE); } NeonSubtractionFloatWorkload::NeonSubtractionFloatWorkload(const SubtractionQueueDescriptor& descriptor, const WorkloadInfo& info) : FloatWorkload(descriptor, info) { m_Data.ValidateInputsOutputs("NeonSubtractionFloatWorkload", 2, 1); arm_compute::ITensor& input1 = boost::polymorphic_downcast(m_Data.m_Inputs[0])->GetTensor(); arm_compute::ITensor& input2 = boost::polymorphic_downcast(m_Data.m_Inputs[1])->GetTensor(); arm_compute::ITensor& output = boost::polymorphic_downcast(m_Data.m_Outputs[0])->GetTensor(); m_SubLayer.configure(&input1, &input2, &output, arm_compute::ConvertPolicy::SATURATE); } void NeonSubtractionFloatWorkload::Execute() const { ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonSubtractionFloatWorkload_Execute"); m_SubLayer.run(); } } //namespace armnn