| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "NeonGreaterWorkload.hpp" |
| #include <aclCommon/ArmComputeTensorUtils.hpp> |
| #include <backendsCommon/CpuTensorHandle.hpp> |
| |
| namespace armnn |
| { |
| |
| arm_compute::Status NeonGreaterWorkloadValidate(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::NEGreater::validate(&aclInput0, |
| &aclInput1, |
| &aclOutput); |
| } |
| |
| template <DataType T> |
| NeonGreaterWorkload<T>::NeonGreaterWorkload(const GreaterQueueDescriptor& descriptor, const WorkloadInfo& info) |
| : MultiTypedWorkload<GreaterQueueDescriptor, T, DataType::Boolean>(descriptor, info) |
| { |
| m_Data.ValidateInputsOutputs("NeonGreaterWorkload", 2, 1); |
| |
| arm_compute::ITensor& input0 = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); |
| arm_compute::ITensor& input1 = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[1])->GetTensor(); |
| arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); |
| |
| m_GreaterLayer.configure(&input0, &input1, &output); |
| } |
| |
| template <DataType T> |
| void NeonGreaterWorkload<T>::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonGreaterWorkload_Execute"); |
| m_GreaterLayer.run(); |
| } |
| |
| template class NeonGreaterWorkload<DataType::Float32>; |
| template class NeonGreaterWorkload<DataType::QuantisedAsymm8>; |
| |
| } //namespace armnn |