| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "RefPadWorkload.hpp" |
| |
| #include "Pad.hpp" |
| #include "RefWorkloadUtils.hpp" |
| |
| #include "Profiling.hpp" |
| |
| #include <ResolveType.hpp> |
| |
| #include <vector> |
| |
| namespace armnn |
| { |
| |
| template <armnn::DataType DataType> |
| void RefPadWorkload<DataType>::Execute() const |
| { |
| using T = ResolveType<DataType>; |
| |
| ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefPadWorkload_Execute"); |
| |
| const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]); |
| const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]); |
| |
| const T* inputData = GetInputTensorData<T>(0, m_Data); |
| T* outputData = GetOutputTensorData<T>(0, m_Data); |
| |
| |
| Pad(inputInfo, outputInfo, m_Data.m_Parameters.m_PadList, inputData, outputData); |
| } |
| |
| template class RefPadWorkload<DataType::Float32>; |
| template class RefPadWorkload<DataType::QuantisedAsymm8>; |
| |
| } //namespace armnn |