| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "NeonPermuteWorkload.hpp" |
| #include <backends/NeonTensorHandle.hpp> |
| #include <backends/aclCommon/ArmComputeTensorUtils.hpp> |
| |
| #include <arm_compute/core/Error.h> |
| |
| namespace armnn |
| { |
| |
| arm_compute::Status NeonPermuteWorkloadValidate(const TensorInfo& input, |
| const TensorInfo& output, |
| const PermuteDescriptor& descriptor) |
| { |
| const arm_compute::TensorInfo aclInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input); |
| const arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output); |
| const armnn::PermutationVector& mappings = descriptor.m_DimMappings; |
| |
| return arm_compute::NEPermute::validate(&aclInputInfo, &aclOutputInfo, |
| armcomputetensorutils::BuildArmComputePermutationVector(mappings)); |
| } |
| |
| template <armnn::DataType... DataTypes> |
| NeonPermuteWorkload<DataTypes...>::NeonPermuteWorkload(const PermuteQueueDescriptor& descriptor, |
| const WorkloadInfo& info) |
| : TypedWorkload<PermuteQueueDescriptor, DataTypes...>(descriptor, info) |
| { |
| using armcomputetensorutils::BuildArmComputePermutationVector; |
| |
| m_Data.ValidateInputsOutputs(GetName(), 1, 1); |
| |
| const arm_compute::ITensor& input = static_cast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); |
| arm_compute::ITensor& output = static_cast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); |
| const armnn::PermutationVector& mappings = m_Data.m_Parameters.m_DimMappings; |
| |
| // Run the layer. |
| m_PermuteFunction.configure(&input, &output, BuildArmComputePermutationVector(mappings)); |
| } |
| |
| template <armnn::DataType... DataTypes> |
| void NeonPermuteWorkload<DataTypes...>::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_NEON(GetName() + "_Execute"); |
| m_PermuteFunction.run(); |
| } |
| |
| template class NeonPermuteWorkload<DataType::Float16, DataType::Float32>; |
| template class NeonPermuteWorkload<DataType::QuantisedAsymm8>; |
| |
| } // namespace armnn |
