| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "RefDequantizeWorkload.hpp" |
| #include "RefWorkloadUtils.hpp" |
| #include "Encoders.hpp" |
| #include "Decoders.hpp" |
| #include "Dequantize.hpp" |
| |
| namespace armnn |
| { |
| |
| void RefDequantizeWorkload::Execute() const |
| { |
| Execute(m_Data.m_Inputs, m_Data.m_Outputs); |
| } |
| |
| void RefDequantizeWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor) |
| { |
| Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs); |
| } |
| |
| void RefDequantizeWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefDequantizeWorkload_Execute"); |
| |
| const TensorInfo& inputInfo = GetTensorInfo(inputs[0]); |
| const TensorInfo& outputInfo = GetTensorInfo(outputs[0]); |
| |
| auto inputDecoder = MakeDecoder<float>(inputInfo, inputs[0]->Map()); |
| auto outputEncoder = MakeEncoder<float>(outputInfo, outputs[0]->Map()); |
| |
| Dequantize(*inputDecoder, *outputEncoder, inputInfo, outputInfo); |
| } |
| |
| } // namespace armnn |