ArmNN
 22.11
RefMeanWorkload.cpp
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1 //
2 // Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "RefMeanWorkload.hpp"
7 
8 #include "Reduce.hpp"
9 #include "RefWorkloadUtils.hpp"
10 
11 #include "Profiling.hpp"
12 
13 #include <vector>
14 
15 namespace armnn
16 {
17 
19  :RefBaseWorkload<MeanQueueDescriptor>(descriptor, info) {}
20 
22 {
24 }
25 
27 {
28  WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data);
29  Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs);
30 }
31 
32 void RefMeanWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
33 {
34  ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefMeanWorkload_Execute");
35 
36  const TensorInfo& inputInfo = GetTensorInfo(inputs[0]);
37  const TensorInfo& outputInfo = GetTensorInfo(outputs[0]);
38 
39  auto inputDecoder = MakeDecoder<float>(inputInfo, inputs[0]->Map());
40  auto outputEncoder = MakeEncoder<float>(outputInfo, outputs[0]->Map());
41 
42  Reduce(inputInfo,
43  outputInfo,
44  *inputDecoder,
45  *outputEncoder,
48 }
49 
50 } //namespace armnn
CPU Execution: Reference C++ kernels.
void ExecuteAsync(ExecutionData &executionData) override
Copyright (c) 2021 ARM Limited and Contributors.
#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
Definition: Profiling.hpp:220
std::vector< unsigned int > m_Axis
Values for the dimensions to reduce.
RefMeanWorkload(const MeanQueueDescriptor &descriptor, const WorkloadInfo &info)
std::vector< ITensorHandle * > m_Outputs
Contains information about TensorInfos of a layer.
std::vector< ITensorHandle * > m_Inputs
void Execute() const override
const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)
float32 helpers