| // |
| // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "NeonMaximumWorkload.hpp" |
| #include <aclCommon/ArmComputeTensorUtils.hpp> |
| #include <armnn/utility/PolymorphicDowncast.hpp> |
| #include <armnn/backends/TensorHandle.hpp> |
| |
| namespace armnn |
| { |
| |
| arm_compute::Status NeonMaximumWorkloadValidate(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::NEElementwiseMax::validate(&aclInput0, |
| &aclInput1, |
| &aclOutput); |
| } |
| |
| NeonMaximumWorkload::NeonMaximumWorkload(const MaximumQueueDescriptor& descriptor, |
| const WorkloadInfo& info) |
| : NeonBaseWorkload<MaximumQueueDescriptor>(descriptor, info) |
| { |
| m_Data.ValidateInputsOutputs("NeonMaximumWorkload", 2, 1); |
| |
| arm_compute::ITensor& input0 = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); |
| arm_compute::ITensor& input1 = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[1])->GetTensor(); |
| arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); |
| |
| m_MaxLayer.configure(&input0, &input1, &output); |
| } |
| |
| void NeonMaximumWorkload::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonMaximumWorkload_Execute", this->GetGuid()); |
| m_MaxLayer.run(); |
| } |
| |
| } //namespace armnn |
