| // |
| // Copyright © 2023 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| #include "NeonTileWorkload.hpp" |
| #include "NeonWorkloadUtils.hpp" |
| #include <aclCommon/ArmComputeUtils.hpp> |
| #include <vector> |
| #include <algorithm> |
| |
| using namespace armnn::armcomputetensorutils; |
| namespace armnn |
| { |
| arm_compute::Status NeonTileWorkloadValidate(const TensorInfo& input, |
| const TensorInfo& output, |
| const TileDescriptor& descriptor) |
| { |
| const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input); |
| const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output); |
| |
| std::vector<unsigned int> aclMultiples = descriptor.m_Multiples; |
| std::reverse(aclMultiples.begin(),aclMultiples.end()); |
| |
| return arm_compute::NETile::validate(&aclInput, &aclOutput, aclMultiples); |
| } |
| |
| NeonTileWorkload::NeonTileWorkload(const armnn::TileQueueDescriptor& descriptor, |
| const armnn::WorkloadInfo& info) |
| : BaseWorkload<TileQueueDescriptor>(descriptor, info) |
| { |
| m_Data.ValidateInputsOutputs("NeonTileWorkload", 1, 1); |
| |
| std::vector<unsigned int> aclMultiples = descriptor.m_Parameters.m_Multiples; |
| std::reverse(aclMultiples.begin(),aclMultiples.end()); |
| |
| arm_compute::ITensor& input = static_cast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); |
| arm_compute::ITensor& output = static_cast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); |
| m_Layer.configure(&input, &output, aclMultiples); |
| } |
| |
| void NeonTileWorkload::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID("NeonTileWorkload_Execute"); |
| m_Layer.run(); |
| } |
| } //namespace armnn |