ArmNN
 25.11
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NeonDepthwiseConvolutionWorkload Class Reference

#include <NeonDepthwiseConvolutionWorkload.hpp>

Inheritance diagram for NeonDepthwiseConvolutionWorkload:
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Collaboration diagram for NeonDepthwiseConvolutionWorkload:
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Public Member Functions

 NeonDepthwiseConvolutionWorkload (const DepthwiseConvolution2dQueueDescriptor &descriptor, const WorkloadInfo &info)
virtual void Execute () const override
Public Member Functions inherited from NeonBaseWorkload< DepthwiseConvolution2dQueueDescriptor >
 NeonBaseWorkload (const DepthwiseConvolution2dQueueDescriptor &descriptor, const WorkloadInfo &info)
void ReplaceInputTensorHandle (ITensorHandle *tensorHandle, unsigned int slot) override
void ReplaceOutputTensorHandle (ITensorHandle *tensorHandle, unsigned int slot) override
Public Member Functions inherited from BaseWorkload< DepthwiseConvolution2dQueueDescriptor >
 BaseWorkload (const DepthwiseConvolution2dQueueDescriptor &descriptor, const WorkloadInfo &info)
virtual const std::string & GetName () const override
void PostAllocationConfigure () override
const DepthwiseConvolution2dQueueDescriptorGetData () const
arm::pipe::ProfilingGuid GetGuid () const final
virtual bool SupportsTensorHandleReplacement () const override
Public Member Functions inherited from IWorkload
virtual ~IWorkload ()
virtual void RegisterDebugCallback (const DebugCallbackFunction &)
virtual armnn::Optional< armnn::MemoryRequirementsGetMemoryRequirements ()

Additional Inherited Members

Protected Member Functions inherited from NeonBaseWorkload< DepthwiseConvolution2dQueueDescriptor >
virtual void Reconfigure ()
Protected Attributes inherited from BaseWorkload< DepthwiseConvolution2dQueueDescriptor >
DepthwiseConvolution2dQueueDescriptor m_Data
const arm::pipe::ProfilingGuid m_Guid
const std::string m_Name

Detailed Description

Definition at line 26 of file NeonDepthwiseConvolutionWorkload.hpp.

Constructor & Destructor Documentation

◆ NeonDepthwiseConvolutionWorkload()

Definition at line 87 of file NeonDepthwiseConvolutionWorkload.cpp.

90 : NeonBaseWorkload<DepthwiseConvolution2dQueueDescriptor>(descriptor, info)
91{
92 arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
93 arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
94 arm_compute::ITensor& weights = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
95 weights.info()->set_are_values_constant(info.m_InputTensorInfos[1].IsConstant());
96 arm_compute::ITensor* biasesPtr = nullptr;
98 {
99 biasesPtr = &PolymorphicDowncast<IAclTensorHandle *>(m_Data.m_Inputs[2])->GetTensor();
100 biasesPtr->info()->set_are_values_constant(info.m_InputTensorInfos[2].IsConstant());
101 }
102
103 arm_compute::TensorShape weightsShape = weights.info()->tensor_shape();
104 arm_compute::TensorShape inputShape = input.info()->tensor_shape();
105
106 // The PermuteDepthwiseConv2dWeights backend optimization has been performed,
107 // converting weights to have the same data layout as input.
108 unsigned int depthMultiplier =
109 ComputeDepthwiseConv2dDepthMultiplier(m_Data.m_Parameters.m_DataLayout, weightsShape, inputShape);
110
111 const arm_compute::Size2D aclDilationInfo = BuildArmComputeSize2D(m_Data.m_Parameters.m_DilationX,
113
114 uint32_t numInputs = m_Data.m_Parameters.m_BiasEnabled ? 3: 2;
115 m_Data.ValidateInputsOutputs("NeonDepthwiseConvolutionWorkload", numInputs, 1);
116
117 arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
118 input.info()->set_data_layout(aclDataLayout);
119 weights.info()->set_data_layout(aclDataLayout);
120 output.info()->set_data_layout(aclDataLayout);
121
122 const arm_compute::PadStrideInfo padStrideInfo = BuildArmComputePadStrideInfo(m_Data.m_Parameters);
123
124 const arm_compute::ActivationLayerInfo activationInfo = ConvertAdditionalInfoToAclActivationLayerInfo(descriptor);
125
126 m_pDepthwiseConvolutionLayer = std::make_unique<arm_compute::NEDepthwiseConvolutionLayer>();
127 static_cast<arm_compute::NEDepthwiseConvolutionLayer*>(
128 m_pDepthwiseConvolutionLayer.get())->configure(&input,
129 &weights,
130 biasesPtr,
131 &output,
132 padStrideInfo,
133 depthMultiplier,
134 activationInfo,
135 aclDilationInfo);
136
137 // Add details for profiling output
138 WorkloadInfo detailsInfo;
139
140 detailsInfo.m_InputTensorInfos = info.m_InputTensorInfos;
141 detailsInfo.m_OutputTensorInfos = info.m_OutputTensorInfos;
142
143 // Report Profiling Details
144 ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonDepthwiseConvolution2dWorkload_Construct",
145 descriptor.m_Parameters,
146 detailsInfo,
147 GetGuid());
148
149 m_pDepthwiseConvolutionLayer->prepare();
150}
#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)
arm::pipe::ProfilingGuid GetGuid() const final
Definition Workload.hpp:52
arm_compute::ActivationLayerInfo ConvertAdditionalInfoToAclActivationLayerInfo(const QueueDescriptor &queueDescriptor)
DestType PolymorphicDowncast(SourceType *value)
Polymorphic downcast for build in pointers only.
uint32_t m_DilationY
Dilation factor value for height dimension.
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
uint32_t m_DilationX
Dilation factor value for width dimension.
bool m_BiasEnabled
Enable/disable bias.
std::vector< ITensorHandle * > m_Inputs
std::vector< ITensorHandle * > m_Outputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
std::vector< TensorInfo > m_OutputTensorInfos
std::vector< TensorInfo > m_InputTensorInfos

References ARMNN_REPORT_PROFILING_WORKLOAD_DESC, armnn::ConvertAdditionalInfoToAclActivationLayerInfo(), BaseWorkload< DepthwiseConvolution2dQueueDescriptor >::GetGuid(), armnn::info, BaseWorkload< DepthwiseConvolution2dQueueDescriptor >::m_Data, WorkloadInfo::m_InputTensorInfos, WorkloadInfo::m_OutputTensorInfos, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, NeonBaseWorkload< DepthwiseConvolution2dQueueDescriptor >::NeonBaseWorkload(), and armnn::PolymorphicDowncast().

Member Function Documentation

◆ Execute()

void Execute ( ) const
overridevirtual

Implements IWorkload.

Definition at line 152 of file NeonDepthwiseConvolutionWorkload.cpp.

153{
154 ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID("NeonDepthwiseConvolutionWorkload_Execute");
155
156 m_pDepthwiseConvolutionLayer->run();
157}
#define ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID(label)
Creates a profiling event that uses GetGuid() and GetName() from the calling class.

References ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID.


The documentation for this class was generated from the following files: