| // |
| // Copyright © 2022 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "RefStackWorkload.hpp" |
| |
| #include "RefWorkloadUtils.hpp" |
| #include "Stack.hpp" |
| |
| #include <Profiling.hpp> |
| |
| namespace armnn |
| { |
| |
| RefStackWorkload::RefStackWorkload(const StackQueueDescriptor& descriptor, |
| const WorkloadInfo& info) |
| : RefBaseWorkload(descriptor, info) |
| {} |
| |
| void RefStackWorkload::Execute() const |
| { |
| Execute(m_Data.m_Inputs, m_Data.m_Outputs); |
| } |
| |
| void RefStackWorkload::ExecuteAsync(ExecutionData& executionData) |
| { |
| WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data); |
| Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs); |
| } |
| |
| void RefStackWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefStackWorkload_Execute"); |
| |
| const TensorInfo& inputInfo = GetTensorInfo(inputs[0]); |
| const TensorInfo& outputInfo = GetTensorInfo(outputs[0]); |
| |
| std::vector<std::unique_ptr<Decoder<float>>> inputDecoders; |
| for (unsigned int i=0; i<inputs.size(); ++i) |
| { |
| inputDecoders.push_back(MakeDecoder<float>(GetTensorInfo(inputs[i]), |
| inputs[i]->Map())); |
| } |
| std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(outputs[0]), |
| outputs[0]->Map()); |
| |
| Stack(m_Data, inputDecoders, *outputEncoder, inputInfo, outputInfo); |
| } |
| |
| } // namespace armnn |