// // Copyright © 2017 Arm Ltd. All rights reserved. // SPDX-License-Identifier: MIT // #include "NeonPreluWorkload.hpp" #include "NeonWorkloadUtils.hpp" #include #include #include namespace armnn { arm_compute::Status NeonPreluWorkloadValidate(const TensorInfo& input, const TensorInfo& alpha, const TensorInfo& output) { const arm_compute::TensorInfo aclInput = armcomputetensorutils::BuildArmComputeTensorInfo(input); const arm_compute::TensorInfo aclAlpha = armcomputetensorutils::BuildArmComputeTensorInfo(alpha); const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output); return arm_compute::NEPReluLayer::validate(&aclInput, &aclAlpha, &aclOutput); } NeonPreluWorkload::NeonPreluWorkload(const PreluQueueDescriptor& descriptor, const WorkloadInfo& info) : BaseWorkload(descriptor, info) { m_Data.ValidateInputsOutputs("NeonPreluWorkload", 1, 1); arm_compute::ITensor& input = PolymorphicDowncast(m_Data.m_Inputs[0])->GetTensor(); arm_compute::ITensor& alpha = PolymorphicDowncast(m_Data.m_Inputs[1])->GetTensor(); arm_compute::ITensor& output = PolymorphicDowncast(m_Data.m_Outputs[0])->GetTensor(); auto layer = std::make_unique(); layer->configure(&input, &alpha, &output); m_PreluLayer.reset(layer.release()); } void NeonPreluWorkload::Execute() const { ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonPreluWorkload_Execute", this->GetGuid()); m_PreluLayer->run(); } } //namespace armnn