| // |
| // Copyright © 2023 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "NeonReverseV2Workload.hpp" |
| #include "NeonWorkloadUtils.hpp" |
| #include <armnn/utility/PolymorphicDowncast.hpp> |
| #include <aclCommon/ArmComputeUtils.hpp> |
| #include <backendsCommon/WorkloadUtils.hpp> |
| |
| namespace armnn |
| { |
| arm_compute::Status NeonReverseV2WorkloadValidate(const TensorInfo& input, |
| const TensorInfo& axis, |
| const TensorInfo& output) |
| { |
| const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input); |
| const arm_compute::TensorInfo aclAxis = BuildArmComputeTensorInfo(axis); |
| const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output); |
| |
| return arm_compute::NEReverse::validate(&aclInput, &aclOutput, &aclAxis, true); |
| } |
| |
| NeonReverseV2Workload::NeonReverseV2Workload(const ReverseV2QueueDescriptor& descriptor, |
| const WorkloadInfo& info) |
| : BaseWorkload<ReverseV2QueueDescriptor>(descriptor, info) |
| { |
| m_Data.ValidateInputsOutputs("NeonReverseV2Workload", 2, 1); |
| |
| arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); |
| arm_compute::ITensor& axis = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[1])->GetTensor(); |
| arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); |
| |
| m_Layer.configure(&input, &output, &axis, true); |
| } |
| |
| void NeonReverseV2Workload::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID("NeonReverseV2Workload_Execute"); |
| m_Layer.run(); |
| } |
| |
| } // namespace armnn |