| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "RefRsqrtWorkload.hpp" |
| |
| #include "Decoders.hpp" |
| #include "Encoders.hpp" |
| #include "RefWorkloadUtils.hpp" |
| #include "Rsqrt.hpp" |
| |
| #include <Profiling.hpp> |
| |
| namespace armnn |
| { |
| |
| void RefRsqrtWorkload::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefRsqrtWorkload_Execute"); |
| |
| const TensorInfo& inputTensorInfo = GetTensorInfo(m_Data.m_Inputs[0]); |
| |
| std::unique_ptr<Decoder<float>> decoderPtr = MakeDecoder<float>(inputTensorInfo, m_Data.m_Inputs[0]->Map()); |
| Decoder<float>& decoder = *decoderPtr; |
| |
| const TensorInfo& outputTensorInfo = GetTensorInfo(m_Data.m_Outputs[0]); |
| |
| std::unique_ptr<Encoder<float>> encoderPtr = MakeEncoder<float>(outputTensorInfo, m_Data.m_Outputs[0]->Map()); |
| Encoder<float>& encoder = *encoderPtr; |
| |
| Rsqrt(decoder, |
| encoder, |
| GetTensorInfo(m_Data.m_Inputs[0])); |
| } |
| |
| } //namespace armnn |