| // |
| // Copyright © 2022 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "RefQuantizeWorkload.hpp" |
| |
| #include "RefWorkloadUtils.hpp" |
| |
| #include <armnn/TypesUtils.hpp> |
| |
| |
| namespace armnn |
| { |
| |
| namespace |
| { |
| |
| void QuantizeImpl(Decoder<float>& in, Encoder<float>& out, size_t numValues) |
| { |
| for (unsigned int i = 0; i < numValues; i++) |
| { |
| in[i]; |
| out[i]; |
| out.Set(in.Get()); |
| } |
| } |
| |
| } //namespace |
| |
| RefQuantizeWorkload::RefQuantizeWorkload(const QuantizeQueueDescriptor& descriptor, const WorkloadInfo &info) |
| : RefBaseWorkload(descriptor, info) |
| , m_NumElements(info.m_InputTensorInfos[0].GetNumElements()) |
| { |
| } |
| |
| void RefQuantizeWorkload::Execute() const |
| { |
| Execute(m_Data.m_Inputs, m_Data.m_Outputs); |
| } |
| |
| void RefQuantizeWorkload::ExecuteAsync(ExecutionData& executionData) |
| { |
| WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data); |
| Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs); |
| } |
| |
| void RefQuantizeWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const |
| { |
| std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(GetTensorInfo(inputs[0]), inputs[0]->Map()); |
| std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(outputs[0]), outputs[0]->Map()); |
| |
| QuantizeImpl(*inputDecoder, *outputEncoder, m_NumElements); |
| } |
| |
| } //namespace armnn |