| // |
| // Copyright © 2022 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "RefSliceWorkload.hpp" |
| |
| #include "RefWorkloadUtils.hpp" |
| #include "Slice.hpp" |
| |
| #include <Profiling.hpp> |
| |
| namespace armnn |
| { |
| |
| void RefSliceWorkload::Execute() const |
| { |
| Execute(m_Data.m_Inputs, m_Data.m_Outputs); |
| } |
| |
| void RefSliceWorkload::ExecuteAsync(ExecutionData& executionData) |
| { |
| WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data); |
| Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs); |
| } |
| |
| void RefSliceWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefSliceWorkload_Execute"); |
| |
| const TensorInfo& inputInfo = GetTensorInfo(inputs[0]); |
| |
| Slice(inputInfo, |
| m_Data.m_Parameters, |
| inputs[0]->Map(), |
| outputs[0]->Map(), |
| GetDataTypeSize(inputInfo.GetDataType())); |
| } |
| |
| } // namespace armnn |