ArmNN
 24.08
RefMeanWorkload.cpp
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1 //
2 // Copyright © 2019,2021-2023 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_REF_NAME_GUID("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
armnn::experimental::ExecutionData::m_Data
void * m_Data
Definition: ExecutionData.hpp:16
armnn::TensorInfo
Definition: Tensor.hpp:152
armnn::Reduce
void Reduce(const TensorInfo &inputInfo, const TensorInfo &outputInfo, Decoder< float > &input, Encoder< float > &output, const std::vector< uint32_t > axis, const ReduceOperation reduceOperation)
Definition: Reduce.cpp:70
Profiling.hpp
ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID
#define ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID(label)
Creates a profiling event that uses GetGuid() and GetName() from the calling class.
Definition: RefWorkloadUtils.hpp:22
armnn::ReduceOperation::Mean
@ Mean
armnn::QueueDescriptorWithParameters::m_Parameters
LayerDescriptor m_Parameters
Definition: WorkloadData.hpp:66
armnn::WorkloadInfo
Contains information about TensorInfos of a layer.
Definition: WorkloadInfo.hpp:16
armnn::RefMeanWorkload::Execute
void Execute() const override
Definition: RefMeanWorkload.cpp:21
armnn::GetTensorInfo
const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)
float32 helpers
Definition: RefWorkloadUtils.hpp:33
armnn::BoostLogSeverityMapping::info
@ info
armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:27
RefMeanWorkload.hpp
armnn::RefMeanWorkload::RefMeanWorkload
RefMeanWorkload(const MeanQueueDescriptor &descriptor, const WorkloadInfo &info)
Definition: RefMeanWorkload.cpp:18
RefWorkloadUtils.hpp
armnn::MeanDescriptor::m_Axis
std::vector< unsigned int > m_Axis
Values for the dimensions to reduce.
Definition: Descriptors.hpp:1190
armnn::BaseWorkload< MeanQueueDescriptor >::m_Data
MeanQueueDescriptor m_Data
Definition: Workload.hpp:89
Reduce.hpp
armnn::LayerType::Map
@ Map
armnn::experimental::WorkingMemDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkingMemDescriptor.hpp:20
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
armnn::experimental::WorkingMemDescriptor
Definition: WorkingMemDescriptor.hpp:18
armnn::MeanQueueDescriptor
Definition: WorkloadData.hpp:288
armnn::RefBaseWorkload
Definition: RefBaseWorkload.hpp:13
armnn::experimental::WorkingMemDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkingMemDescriptor.hpp:21
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:26
armnn::RefMeanWorkload::ExecuteAsync
void ExecuteAsync(ExecutionData &executionData) override
Definition: RefMeanWorkload.cpp:26
armnn::experimental::ExecutionData
Definition: ExecutionData.hpp:14