ArmNN
 25.11
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Convolution3dQueueDescriptor Struct Reference

#include <WorkloadData.hpp>

Inheritance diagram for Convolution3dQueueDescriptor:
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Collaboration diagram for Convolution3dQueueDescriptor:
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Public Member Functions

void Validate (const WorkloadInfo &workloadInfo) const
Public Member Functions inherited from QueueDescriptorWithParameters< Convolution3dDescriptor >
virtual ~QueueDescriptorWithParameters ()=default
Public Member Functions inherited from QueueDescriptor
virtual ~QueueDescriptor ()=default
void ValidateTensorNumDimensions (const TensorInfo &tensor, std::string const &descName, unsigned int numDimensions, std::string const &tensorName) const
void ValidateTensorNumDimNumElem (const TensorInfo &tensorInfo, unsigned int numDimension, unsigned int numElements, std::string const &tensorName) const
void ValidateInputsOutputs (const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
template<typename T>
const T * GetAdditionalInformation () const

Additional Inherited Members

Public Attributes inherited from QueueDescriptorWithParameters< Convolution3dDescriptor >
Convolution3dDescriptor m_Parameters
Public Attributes inherited from QueueDescriptor
std::vector< ITensorHandle * > m_Inputs
std::vector< ITensorHandle * > m_Outputs
void * m_AdditionalInfoObject
bool m_AllowExpandedDims = false
Protected Member Functions inherited from QueueDescriptorWithParameters< Convolution3dDescriptor >
 QueueDescriptorWithParameters ()=default
QueueDescriptorWithParametersoperator= (QueueDescriptorWithParameters const &)=default
Protected Member Functions inherited from QueueDescriptor
 QueueDescriptor ()
 QueueDescriptor (QueueDescriptor const &)=default
QueueDescriptoroperator= (QueueDescriptor const &)=default

Detailed Description

Definition at line 216 of file WorkloadData.hpp.

Member Function Documentation

◆ Validate()

void Validate ( const WorkloadInfo & workloadInfo) const

Definition at line 1330 of file WorkloadData.cpp.

1331{
1332 const std::string descriptorName{"Convolution3dQueueDescriptor"};
1333
1334 uint32_t numInputs = 2;
1336 {
1337 numInputs = 3;
1338 }
1339 ValidateNumInputs(workloadInfo, descriptorName, numInputs);
1340 ValidateNumOutputs(workloadInfo, descriptorName, 1);
1341
1342 const TensorInfo& inputTensorInfo = workloadInfo.m_InputTensorInfos[0];
1343 const TensorInfo& outputTensorInfo = workloadInfo.m_OutputTensorInfos[0];
1344
1345 ValidateTensorNumDimensions(inputTensorInfo, descriptorName, 5, "input");
1346 ValidateTensorNumDimensions(outputTensorInfo, descriptorName, 5, "output");
1347
1348 const TensorInfo& weightTensorInfo = workloadInfo.m_InputTensorInfos[1];
1349 ValidateTensorNumDimensions(weightTensorInfo, descriptorName, 5, "weight");
1350
1351 ValidateWeightDataType(inputTensorInfo, weightTensorInfo, descriptorName);
1352
1353 Optional<TensorInfo> optionalBiasTensorInfo;
1355 {
1356 optionalBiasTensorInfo = MakeOptional<TensorInfo>(workloadInfo.m_InputTensorInfos[2]);
1357 const TensorInfo& biasTensorInfo = optionalBiasTensorInfo.value();
1358
1359 ValidateTensorDataType(biasTensorInfo, GetBiasDataType(inputTensorInfo.GetDataType()), descriptorName, "bias");
1360 ValidateBiasTensorQuantization(biasTensorInfo, weightTensorInfo, descriptorName);
1361 }
1362
1364 {
1365 throw InvalidArgumentException(
1366 fmt::format("{}: strideX (provided {}), strideY (provided {}) or strideZ (provided {})"
1367 "cannot be either negative or 0.",
1369 }
1370
1371 ValidatePerAxisQuantization(inputTensorInfo,
1372 outputTensorInfo,
1373 weightTensorInfo,
1374 optionalBiasTensorInfo,
1375 descriptorName);
1376
1377 std::vector<DataType> supportedTypes =
1378 {
1386 };
1387
1388 ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);
1389 ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
1390}
DataType GetDataType() const
Definition Tensor.hpp:200
Optional< T > MakeOptional(Args &&... args)
Utility template that constructs an object of type T in-place and wraps it inside an Optional<T> obje...
Definition Optional.hpp:305
DataType GetBiasDataType(DataType inputDataType)
uint32_t m_StrideZ
Stride value when proceeding through input for the depth dimension.
uint32_t m_StrideY
Stride value when proceeding through input for the height dimension.
bool m_BiasEnabled
Enable/disable bias.
uint32_t m_StrideX
Stride value when proceeding through input for the width dimension.
void ValidateTensorNumDimensions(const TensorInfo &tensor, std::string const &descName, unsigned int numDimensions, std::string const &tensorName) const
std::vector< TensorInfo > m_OutputTensorInfos
std::vector< TensorInfo > m_InputTensorInfos

References armnn::BFloat16, armnn::Float16, armnn::Float32, armnn::GetBiasDataType(), TensorInfo::GetDataType(), WorkloadInfo::m_InputTensorInfos, WorkloadInfo::m_OutputTensorInfos, QueueDescriptorWithParameters< Convolution3dDescriptor >::m_Parameters, armnn::MakeOptional(), armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, armnn::QSymmS8, QueueDescriptor::ValidateTensorNumDimensions(), and OptionalReferenceSwitch< IsReference, T >::value().


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