ArmNN
 20.02
RefMeanWorkload.cpp
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1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "RefMeanWorkload.hpp"
7 
8 #include "Mean.hpp"
9 #include "RefWorkloadUtils.hpp"
10 
11 #include "Profiling.hpp"
12 
13 #include <vector>
14 
15 namespace armnn
16 {
17 
19  :BaseWorkload<MeanQueueDescriptor>(descriptor, info) {}
20 
22 {
23  ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefMeanWorkload_Execute");
24 
25  const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
26  const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
27 
28  auto inputDecoder = MakeDecoder<float>(inputInfo, m_Data.m_Inputs[0]->Map());
29  auto outputEncoder = MakeEncoder<float>(outputInfo, m_Data.m_Outputs[0]->Map());
30 
31  Mean(inputInfo, outputInfo, m_Data.m_Parameters.m_Axis, *inputDecoder, *outputEncoder);
32 }
33 
34 } //namespace armnn
CPU Execution: Reference C++ kernels.
const MeanQueueDescriptor m_Data
Definition: Workload.hpp:46
const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)
float32 helpers
Copyright (c) 2020 ARM Limited.
#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
Definition: Profiling.hpp:169
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 inputs and outputs to a layer.
std::vector< ITensorHandle * > m_Inputs
virtual void Execute() const override