ArmNN
 24.08
RefConvolution3dWorkload.cpp
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1 //
2 // Copyright © 2021-2023 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
7 
8 #include "Conv3dImpl.hpp"
9 #include "RefWorkloadUtils.hpp"
10 
11 #include "Profiling.hpp"
12 
13 namespace armnn
14 {
16  const Convolution3dQueueDescriptor& descriptor, const WorkloadInfo& info)
18 {
19  WorkloadInfo detailsInfo;
20  detailsInfo.m_InputTensorInfos = info.m_InputTensorInfos;
21  detailsInfo.m_OutputTensorInfos = info.m_OutputTensorInfos;
22 
23  // Report Profiling Details
24  ARMNN_REPORT_PROFILING_WORKLOAD_DESC("RefConvolution3dWorkload_Construct",
25  descriptor.m_Parameters,
26  detailsInfo,
27  this->GetGuid());
28 }
29 
31 {
33 }
34 
36 {
37  WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data);
38  Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs);
39 }
40 
41 void RefConvolution3dWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
42 {
43  ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID("RefConvolution3dWorkload_Execute");
44 
45  std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(GetTensorInfo(inputs[0]), inputs[0]->Map());
46  std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(outputs[0]), outputs[0]->Map());
47 
48  const TensorShape& inputShape = GetTensorInfo(inputs[0]).GetShape();
49  const TensorShape& outputShape = GetTensorInfo(outputs[0]).GetShape();
50 
51  const auto& filterInfo = GetTensorInfo(inputs[1]);
52  std::unique_ptr<Decoder<float>> filterDecoder = MakeDecoder<float>(GetTensorInfo(inputs[1]), inputs[1]->Map());
53  std::unique_ptr<Decoder<float>> biasDecoder;
54 
56  {
57  biasDecoder = MakeDecoder<float>(GetTensorInfo(inputs[2]), inputs[2]->Map());
58  }
59 
60  Convolve3d(inputShape, *inputDecoder, outputShape, *outputEncoder, filterInfo.GetShape(),
61  *filterDecoder, m_Data.m_Parameters.m_BiasEnabled, biasDecoder.get(),
66 }
67 
68 } //namespace armnn
Conv3dImpl.hpp
armnn::Convolution3dDescriptor::m_PadFront
uint32_t m_PadFront
Padding front value in the depth dimension.
Definition: Descriptors.hpp:637
armnn::experimental::ExecutionData::m_Data
void * m_Data
Definition: ExecutionData.hpp:16
Profiling.hpp
armnn::Convolution3dDescriptor::m_PadTop
uint32_t m_PadTop
Padding top value in the height dimension.
Definition: Descriptors.hpp:633
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::Convolution3dDescriptor::m_DilationX
uint32_t m_DilationX
Dilation along x axis.
Definition: Descriptors.hpp:647
armnn::RefConvolution3dWorkload::ExecuteAsync
void ExecuteAsync(ExecutionData &executionData) override
Definition: RefConvolution3dWorkload.cpp:35
armnn::Convolution3dQueueDescriptor
Definition: WorkloadData.hpp:216
RefConvolution3dWorkload.hpp
armnn::TensorShape
Definition: Tensor.hpp:20
armnn::WorkloadInfo::m_OutputTensorInfos
std::vector< TensorInfo > m_OutputTensorInfos
Definition: WorkloadInfo.hpp:19
armnn::QueueDescriptorWithParameters::m_Parameters
LayerDescriptor m_Parameters
Definition: WorkloadData.hpp:66
armnn::Convolution3dDescriptor::m_DilationZ
uint32_t m_DilationZ
Dilation along z axis.
Definition: Descriptors.hpp:651
armnn::WorkloadInfo
Contains information about TensorInfos of a layer.
Definition: WorkloadInfo.hpp:16
armnn::RefConvolution3dWorkload::Execute
void Execute() const override
Definition: RefConvolution3dWorkload.cpp:30
armnn::RefConvolution3dWorkload::RefConvolution3dWorkload
RefConvolution3dWorkload(const Convolution3dQueueDescriptor &descriptor, const WorkloadInfo &info)
Definition: RefConvolution3dWorkload.cpp:15
armnn::Convolution3dDescriptor::m_PadLeft
uint32_t m_PadLeft
Padding left value in the width dimension.
Definition: Descriptors.hpp:629
armnn::GetTensorInfo
const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)
float32 helpers
Definition: RefWorkloadUtils.hpp:33
armnn::Convolution3dDescriptor::m_StrideY
uint32_t m_StrideY
Stride value when proceeding through input for the height dimension.
Definition: Descriptors.hpp:643
armnn::Convolution3dDescriptor::m_StrideX
uint32_t m_StrideX
Stride value when proceeding through input for the width dimension.
Definition: Descriptors.hpp:641
armnn::BoostLogSeverityMapping::info
@ info
armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:27
ARMNN_REPORT_PROFILING_WORKLOAD_DESC
#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)
Definition: Profiling.hpp:227
RefWorkloadUtils.hpp
armnn::Convolve3d
void Convolve3d(const TensorShape &rInputShape, Decoder< float > &rInputDecoder, const TensorShape &rOutputShape, Encoder< float > &rOutputEncoder, const TensorShape &rFilterShape, Decoder< float > &rFilterDecoder, bool biasEnabled, Decoder< float > *pBiasDecoder, DataLayout dataLayout, unsigned int paddingTop, unsigned int paddingLeft, unsigned int paddingFront, unsigned int xStride, unsigned int yStride, unsigned int zStride, unsigned int xDilation, unsigned int yDilation, unsigned int zDilation)
Definition: Conv3dImpl.cpp:11
armnn::BaseWorkload< Convolution3dQueueDescriptor >::m_Data
Convolution3dQueueDescriptor m_Data
Definition: Workload.hpp:89
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:193
armnn::WorkloadInfo::m_InputTensorInfos
std::vector< TensorInfo > m_InputTensorInfos
Definition: WorkloadInfo.hpp:18
armnn::LayerType::Map
@ Map
armnn::Convolution3dDescriptor::m_DilationY
uint32_t m_DilationY
Dilation along y axis.
Definition: Descriptors.hpp:649
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::Convolution3dDescriptor::m_BiasEnabled
bool m_BiasEnabled
Enable/disable bias.
Definition: Descriptors.hpp:653
armnn::experimental::WorkingMemDescriptor
Definition: WorkingMemDescriptor.hpp:18
armnn::Convolution3dDescriptor::m_StrideZ
uint32_t m_StrideZ
Stride value when proceeding through input for the depth dimension.
Definition: Descriptors.hpp:645
armnn::Convolution3dDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NDHWC, NCDHW).
Definition: Descriptors.hpp:655
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::experimental::ExecutionData
Definition: ExecutionData.hpp:14