#include <WorkloadData.hpp>

Inheritance diagram for QuantizedLstmQueueDescriptor:

Public Member Functions
	QuantizedLstmQueueDescriptor ()

void	Validate (const WorkloadInfo &workloadInfo) const

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

Public Attributes
const ConstTensorHandle *	m_InputToInputWeights

const ConstTensorHandle *	m_InputToForgetWeights

const ConstTensorHandle *	m_InputToCellWeights

const ConstTensorHandle *	m_InputToOutputWeights

const ConstTensorHandle *	m_RecurrentToInputWeights

const ConstTensorHandle *	m_RecurrentToForgetWeights

const ConstTensorHandle *	m_RecurrentToCellWeights

const ConstTensorHandle *	m_RecurrentToOutputWeights

const ConstTensorHandle *	m_InputGateBias

const ConstTensorHandle *	m_ForgetGateBias

const ConstTensorHandle *	m_CellBias

const ConstTensorHandle *	m_OutputGateBias

Public Attributes inherited from QueueDescriptor
std::vector< ITensorHandle * >	m_Inputs

std::vector< ITensorHandle * >	m_Outputs

void *	m_AdditionalInfoObject

bool	m_AllowExpandedDims = false

Additional Inherited Members
Protected Member Functions inherited from QueueDescriptor
	QueueDescriptor ()

	QueueDescriptor (QueueDescriptor const &)=default

QueueDescriptor &	operator= (QueueDescriptor const &)=default

Detailed Description

Definition at line 646 of file WorkloadData.hpp.

Constructor & Destructor Documentation

◆ QuantizedLstmQueueDescriptor()

QuantizedLstmQueueDescriptor ( )

inline

Definition at line 648 of file WorkloadData.hpp.

         : m_InputToInputWeights(nullptr)
         , m_InputToForgetWeights(nullptr)
         , m_InputToCellWeights(nullptr)
         , m_InputToOutputWeights(nullptr)
 
         , m_RecurrentToInputWeights(nullptr)
         , m_RecurrentToForgetWeights(nullptr)
         , m_RecurrentToCellWeights(nullptr)
         , m_RecurrentToOutputWeights(nullptr)
 
         , m_InputGateBias(nullptr)
         , m_ForgetGateBias(nullptr)
         , m_CellBias(nullptr)
         , m_OutputGateBias(nullptr)
     {}

Member Function Documentation

◆ Validate()

void Validate ( const WorkloadInfo & workloadInfo ) const

Definition at line 3387 of file WorkloadData.cpp.

References WorkloadInfo::m_InputTensorInfos, WorkloadInfo::m_OutputTensorInfos, armnn::QAsymmU8, armnn::QSymmS16, armnn::Signed32, and QueueDescriptor::ValidateTensorNumDimNumElem().

 {
     const std::string descriptorName{"QuantizedLstmQueueDescriptor"};
 
     // Validate number of inputs/outputs
     ValidateNumInputs(workloadInfo,  descriptorName, 3);
     ValidateNumOutputs(workloadInfo, descriptorName, 2);
 
     // Input/output tensor infos
     auto inputInfo = workloadInfo.m_InputTensorInfos[0];
     auto cellStateInInfo = workloadInfo.m_InputTensorInfos[1];
     auto outputStateInInfo = workloadInfo.m_InputTensorInfos[2];
 
     auto cellStateOutInfo = workloadInfo.m_OutputTensorInfos[0];
     auto outputStateOutInfo = workloadInfo.m_OutputTensorInfos[1];
 
     std::vector<DataType> inputOutputSupportedTypes =
     {
         DataType::QAsymmU8
     };
 
     std::vector<DataType> cellStateSupportedTypes =
     {
         DataType::QSymmS16
     };
 
     std::vector<DataType> weightsSupportedTypes =
     {
         DataType::QAsymmU8
     };
 
     std::vector<DataType> biasSupportedTypes =
     {
         DataType::Signed32
     };
 
     // Validate types of input/output tensors
     ValidateDataTypes(inputInfo, inputOutputSupportedTypes, descriptorName);
     ValidateDataTypes(cellStateInInfo, cellStateSupportedTypes, descriptorName);
     ValidateDataTypes(outputStateInInfo, inputOutputSupportedTypes, descriptorName);
 
     ValidateDataTypes(cellStateOutInfo, cellStateSupportedTypes, descriptorName);
     ValidateDataTypes(outputStateOutInfo, inputOutputSupportedTypes, descriptorName);
 
     // Validate matching types of input/output tensors
     ValidateTensorDataTypesMatch(inputInfo, outputStateInInfo, descriptorName, "input", "outputStateIn");
     ValidateTensorDataTypesMatch(outputStateInInfo, outputStateOutInfo, descriptorName,
                                  "outputStateIn", "outputStateOut");
     ValidateTensorDataTypesMatch(cellStateInInfo, cellStateOutInfo, descriptorName, "cellStateIn", "cellStateOut");
 
     // Validate matching quantization info for input/output tensors
     ValidateTensorQuantizationSpace(inputInfo, outputStateInInfo, descriptorName, "input", "outputStateIn");
     ValidateTensorQuantizationSpace(inputInfo, outputStateOutInfo, descriptorName, "input", "outputStateOut");
     ValidateTensorQuantizationSpace(cellStateInInfo, cellStateOutInfo, descriptorName, "cellStateIn", "cellStateOut");
 
     // Infer number of batches, input size and output size from tensor dimensions
     const uint32_t numBatches = inputInfo.GetShape()[0];
     const uint32_t inputSize  = inputInfo.GetShape()[1];
     const uint32_t outputSize = cellStateInInfo.GetShape()[1];
 
     // Validate number of dimensions and number of elements for input/output tensors
     ValidateTensorNumDimNumElem(inputInfo, 2, (numBatches * inputSize), descriptorName + " input");
     ValidateTensorNumDimNumElem(cellStateInInfo, 2, (numBatches * outputSize), descriptorName + " cellStateIn");
     ValidateTensorNumDimNumElem(outputStateInInfo, 2, (numBatches * outputSize), descriptorName + " outputStateIn");
     ValidateTensorNumDimNumElem(cellStateOutInfo, 2, (numBatches * outputSize), descriptorName + " cellStateOut");
     ValidateTensorNumDimNumElem(outputStateOutInfo, 2, (numBatches * outputSize), descriptorName + " outputStateOut");
 
     // Validate number of dimensions and number of elements for weights tensors
     ValidatePointer(m_InputToInputWeights, descriptorName, "InputToInputWeights");
     auto inputToInputWeightsInfo = m_InputToInputWeights->GetTensorInfo();
     ValidateTensorNumDimNumElem(inputToInputWeightsInfo, 2, (outputSize * inputSize), " InputToInputWeights");
 
     ValidatePointer(m_InputToForgetWeights, descriptorName, "InputToForgetWeights");
     auto inputToForgetWeightsInfo = m_InputToForgetWeights->GetTensorInfo();
     ValidateTensorNumDimNumElem(inputToForgetWeightsInfo, 2, (outputSize * inputSize), " InputToForgetWeights");
 
     ValidatePointer(m_InputToCellWeights, descriptorName, "InputToCellWeights");
     auto inputToCellWeightsInfo = m_InputToCellWeights->GetTensorInfo();
     ValidateTensorNumDimNumElem(inputToCellWeightsInfo, 2, (outputSize * inputSize), " InputToCellWeights");
 
     ValidatePointer(m_InputToOutputWeights, descriptorName, "InputToOutputWeights");
     auto inputToOutputWeightsInfo = m_InputToOutputWeights->GetTensorInfo();
     ValidateTensorNumDimNumElem(inputToOutputWeightsInfo, 2, (outputSize * inputSize), " InputToOutputWeights");
 
     ValidatePointer(m_RecurrentToInputWeights, descriptorName, "RecurrentToInputWeights");
     auto recurrentToInputWeightsInfo = m_RecurrentToInputWeights->GetTensorInfo();
     ValidateTensorNumDimNumElem(recurrentToInputWeightsInfo, 2, (outputSize * outputSize), " RecurrentToInputWeights");
 
     ValidatePointer(m_RecurrentToForgetWeights, descriptorName, "RecurrentToForgetWeights");
     auto recurrentToForgetWeightsInfo = m_RecurrentToForgetWeights->GetTensorInfo();
     ValidateTensorNumDimNumElem(recurrentToForgetWeightsInfo, 2, (outputSize * outputSize),
                                 " RecurrentToForgetWeights");
 
     ValidatePointer(m_RecurrentToCellWeights, descriptorName, "RecurrentToCellWeights");
     auto recurrentToCellWeightsInfo = m_RecurrentToCellWeights->GetTensorInfo();
     ValidateTensorNumDimNumElem(recurrentToCellWeightsInfo, 2, (outputSize * outputSize), " RecurrentToCellWeights");
 
     ValidatePointer(m_RecurrentToOutputWeights, descriptorName, "RecurrentToOutputWeights");
     auto recurrentToOutputWeightsInfo = m_RecurrentToOutputWeights->GetTensorInfo();
     ValidateTensorNumDimNumElem(recurrentToOutputWeightsInfo, 2, (outputSize * outputSize), " RecurrentToCellWeights");
 
     // Validate data types for weights tensors (all should match each other)
     ValidateDataTypes(inputToInputWeightsInfo, weightsSupportedTypes, descriptorName);
 
     ValidateTensorDataTypesMatch(inputToInputWeightsInfo, inputToForgetWeightsInfo, descriptorName,
                                  "inputToInputWeights", "inputToForgetWeights");
     ValidateTensorDataTypesMatch(inputToInputWeightsInfo, inputToCellWeightsInfo, descriptorName,
                                  "inputToInputWeights", "inputToCellWeights");
     ValidateTensorDataTypesMatch(inputToInputWeightsInfo, inputToOutputWeightsInfo, descriptorName,
                                  "inputToInputWeights", "inputToOutputWeights");
 
     ValidateTensorDataTypesMatch(inputToInputWeightsInfo, recurrentToInputWeightsInfo, descriptorName,
                                  "inputToInputWeights", "recurrentToInputWeights");
     ValidateTensorDataTypesMatch(inputToInputWeightsInfo, recurrentToForgetWeightsInfo, descriptorName,
                                  "inputToInputWeights", "recurrentToForgeteights");
     ValidateTensorDataTypesMatch(inputToInputWeightsInfo, recurrentToCellWeightsInfo, descriptorName,
                                  "inputToInputWeights", "recurrentToCellWeights");
     ValidateTensorDataTypesMatch(inputToInputWeightsInfo, recurrentToOutputWeightsInfo, descriptorName,
                                  "inputToInputWeights", "recurrentToOutputWeights");
 
     // Validate matching quantization info for weight tensors (all should match each other)
     ValidateTensorQuantizationSpace(inputToInputWeightsInfo, inputToForgetWeightsInfo,
                                     descriptorName, "inputToInputWeights", "inputToForgetWeights");
     ValidateTensorQuantizationSpace(inputToInputWeightsInfo, inputToCellWeightsInfo,
                                     descriptorName, "inputToInputWeights", "inputToCellWeights");
     ValidateTensorQuantizationSpace(inputToInputWeightsInfo, inputToOutputWeightsInfo,
                                     descriptorName, "inputToInputWeights", "inputToOutputWeights");
 
     ValidateTensorQuantizationSpace(inputToInputWeightsInfo, recurrentToInputWeightsInfo,
                                     descriptorName, "inputToInputWeights", "recurrentToInputWeights");
     ValidateTensorQuantizationSpace(inputToInputWeightsInfo, recurrentToForgetWeightsInfo,
                                     descriptorName, "inputToInputWeights", "recurrentToForgetWeights");
     ValidateTensorQuantizationSpace(inputToInputWeightsInfo, recurrentToCellWeightsInfo,
                                     descriptorName, "inputToInputWeights", "recurrentToCellWeights");
     ValidateTensorQuantizationSpace(inputToInputWeightsInfo, recurrentToOutputWeightsInfo,
                                     descriptorName, "inputToInputWeights", "recurrentToOutputWeights");
 
     // Validate number of dimensions and number of elements in bias tensors
     ValidatePointer(m_InputGateBias, descriptorName, "InputGateBias");
     auto inputGateBiasInfo = m_InputGateBias->GetTensorInfo();
     ValidateTensorNumDimNumElem(inputGateBiasInfo, 1, outputSize, " InputGateBias");
 
     ValidatePointer(m_ForgetGateBias, descriptorName, "ForgetGateBias");
     auto forgetGateBiasInfo = m_ForgetGateBias->GetTensorInfo();
     ValidateTensorNumDimNumElem(forgetGateBiasInfo, 1, outputSize, " ForgetGateBias");
 
     ValidatePointer(m_CellBias, descriptorName, "CellBias");
     auto cellBiasInfo = m_CellBias->GetTensorInfo();
     ValidateTensorNumDimNumElem(cellBiasInfo, 1, outputSize, " CellBias");
 
     ValidatePointer(m_OutputGateBias, descriptorName, "OutputGateBias");
     auto outputGateBiasInfo = m_OutputGateBias->GetTensorInfo();
     ValidateTensorNumDimNumElem(outputGateBiasInfo, 1, outputSize, " OutputGateBias");
 
     // Validate data types for bias tensors (all should match each other)
     ValidateDataTypes(inputGateBiasInfo, biasSupportedTypes, descriptorName);
 
     ValidateTensorDataTypesMatch(inputGateBiasInfo, forgetGateBiasInfo, descriptorName,
                                  "inputGateBias", "forgetGateBias");
     ValidateTensorDataTypesMatch(inputGateBiasInfo, cellBiasInfo, descriptorName,
                                  "inputGateBias", "cellBias");
     ValidateTensorDataTypesMatch(inputGateBiasInfo, outputGateBiasInfo, descriptorName,
                                  "inputGateBias", "outputGateBias");
 
     // Validate bias tensor quantization info
     ValidateBiasTensorQuantization(inputGateBiasInfo, inputInfo, inputToInputWeightsInfo, descriptorName);
     ValidateBiasTensorQuantization(forgetGateBiasInfo, inputInfo, inputToInputWeightsInfo, descriptorName);
     ValidateBiasTensorQuantization(cellBiasInfo, inputInfo, inputToInputWeightsInfo, descriptorName);
     ValidateBiasTensorQuantization(outputGateBiasInfo, inputInfo, inputToInputWeightsInfo, descriptorName);
 }