| // |
| // Copyright © 2020-2023 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "RefFillWorkload.hpp" |
| #include "Fill.hpp" |
| |
| #include "Decoders.hpp" |
| #include "Encoders.hpp" |
| #include "RefWorkloadUtils.hpp" |
| #include "Profiling.hpp" |
| |
| namespace armnn |
| { |
| |
| void RefFillWorkload::Execute() const |
| { |
| Execute(m_Data.m_Outputs); |
| } |
| |
| void RefFillWorkload::ExecuteAsync(ExecutionData& executionData) |
| { |
| WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data); |
| Execute(workingMemDescriptor->m_Outputs); |
| } |
| |
| void RefFillWorkload::Execute(std::vector<ITensorHandle*> outputs) const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID("RefFillWorkload_Execute"); |
| |
| const TensorInfo &outputTensorInfo = GetTensorInfo(outputs[0]); |
| |
| std::unique_ptr<Encoder<float>> encoderPtr = MakeEncoder<float>(outputTensorInfo, outputs[0]->Map()); |
| Encoder<float> &encoder = *encoderPtr; |
| |
| Fill(encoder, outputTensorInfo.GetShape(), m_Data.m_Parameters.m_Value); |
| } |
| |
| } //namespace armnn |