| // |
| // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "NeonPreluWorkload.hpp" |
| #include "NeonWorkloadUtils.hpp" |
| |
| #include <aclCommon/ArmComputeUtils.hpp> |
| #include <armnn/utility/PolymorphicDowncast.hpp> |
| |
| #include <arm_compute/runtime/NEON/functions/NEPReluLayer.h> |
| |
| 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) |
| : NeonBaseWorkload<PreluQueueDescriptor>(descriptor, info) |
| { |
| m_Data.ValidateInputsOutputs("NeonPreluWorkload", 1, 1); |
| |
| arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); |
| arm_compute::ITensor& alpha = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[1])->GetTensor(); |
| arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); |
| |
| auto layer = std::make_unique<arm_compute::NEPReluLayer>(); |
| 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 |