ArmNN
 21.02
Public Attributes | List of all members
QLstmBasicParameters Struct Reference

#include <QLstmLayer.hpp>

Public Attributes

std::unique_ptr< ScopedCpuTensorHandle > m_InputToForgetWeights
 A unique pointer to represent 2D weights tensor with dimensions [num_units, inputSize] (QSymmS8). More...
 
std::unique_ptr< ScopedCpuTensorHandle > m_InputToCellWeights
 A unique pointer to represent 2D weights tensor with dimensions [num_units, inputSize] (QSymmS8). More...
 
std::unique_ptr< ScopedCpuTensorHandle > m_InputToOutputWeights
 A unique pointer to represent 2D weights tensor with dimensions [num_units, inputSize] (QSymmS8). More...
 
std::unique_ptr< ScopedCpuTensorHandle > m_RecurrentToForgetWeights
 A unique pointer to represent 2D weights tensor with dimensions [num_units, outputSize] (QSymmS8). More...
 
std::unique_ptr< ScopedCpuTensorHandle > m_RecurrentToCellWeights
 A unique pointer to represent 2D weights tensor with dimensions [num_units, outputSize] (QSymmS8). More...
 
std::unique_ptr< ScopedCpuTensorHandle > m_RecurrentToOutputWeights
 A unique pointer to represent 2D weights tensor with dimensions [num_units, outputSize] (QSymmS8). More...
 
std::unique_ptr< ScopedCpuTensorHandle > m_ForgetGateBias
 A unique pointer to represent 1D bias tensor with dimensions [num_units] (int32). More...
 
std::unique_ptr< ScopedCpuTensorHandle > m_CellBias
 A unique pointer to represent 1D bias tensor with dimensions [num_units] (int32). More...
 
std::unique_ptr< ScopedCpuTensorHandle > m_OutputGateBias
 A unique pointer to represent 1D bias tensor with dimensions [num_units] (int32). More...
 

Detailed Description

Definition at line 14 of file QLstmLayer.hpp.

Member Data Documentation

◆ m_CellBias

std::unique_ptr<ScopedCpuTensorHandle> m_CellBias

A unique pointer to represent 1D bias tensor with dimensions [num_units] (int32).

Definition at line 33 of file QLstmLayer.hpp.

Referenced by QLstmLayer::Accept(), QLstmLayer::Clone(), QLstmLayer::CreateWorkload(), QLstmLayer::ExecuteStrategy(), QLstmLayer::GetConstantTensorsByRef(), and QLstmLayer::ValidateTensorShapesFromInputs().

◆ m_ForgetGateBias

std::unique_ptr<ScopedCpuTensorHandle> m_ForgetGateBias

A unique pointer to represent 1D bias tensor with dimensions [num_units] (int32).

Definition at line 31 of file QLstmLayer.hpp.

Referenced by QLstmLayer::Accept(), QLstmLayer::Clone(), QLstmLayer::CreateWorkload(), QLstmLayer::ExecuteStrategy(), QLstmLayer::GetConstantTensorsByRef(), and QLstmLayer::ValidateTensorShapesFromInputs().

◆ m_InputToCellWeights

std::unique_ptr<ScopedCpuTensorHandle> m_InputToCellWeights

A unique pointer to represent 2D weights tensor with dimensions [num_units, inputSize] (QSymmS8).

Definition at line 19 of file QLstmLayer.hpp.

Referenced by QLstmLayer::Accept(), QLstmLayer::Clone(), QLstmLayer::CreateWorkload(), QLstmLayer::ExecuteStrategy(), QLstmLayer::GetConstantTensorsByRef(), and QLstmLayer::ValidateTensorShapesFromInputs().

◆ m_InputToForgetWeights

std::unique_ptr<ScopedCpuTensorHandle> m_InputToForgetWeights

A unique pointer to represent 2D weights tensor with dimensions [num_units, inputSize] (QSymmS8).

Definition at line 17 of file QLstmLayer.hpp.

Referenced by QLstmLayer::Accept(), NetworkImpl::AddQLstmLayer(), QLstmLayer::Clone(), QLstmLayer::CreateWorkload(), QLstmLayer::ExecuteStrategy(), QLstmLayer::GetConstantTensorsByRef(), and QLstmLayer::ValidateTensorShapesFromInputs().

◆ m_InputToOutputWeights

std::unique_ptr<ScopedCpuTensorHandle> m_InputToOutputWeights

A unique pointer to represent 2D weights tensor with dimensions [num_units, inputSize] (QSymmS8).

Definition at line 21 of file QLstmLayer.hpp.

Referenced by QLstmLayer::Accept(), QLstmLayer::Clone(), QLstmLayer::CreateWorkload(), QLstmLayer::ExecuteStrategy(), QLstmLayer::GetConstantTensorsByRef(), and QLstmLayer::ValidateTensorShapesFromInputs().

◆ m_OutputGateBias

std::unique_ptr<ScopedCpuTensorHandle> m_OutputGateBias

A unique pointer to represent 1D bias tensor with dimensions [num_units] (int32).

Definition at line 35 of file QLstmLayer.hpp.

Referenced by QLstmLayer::Accept(), QLstmLayer::Clone(), QLstmLayer::CreateWorkload(), QLstmLayer::ExecuteStrategy(), QLstmLayer::GetConstantTensorsByRef(), and QLstmLayer::ValidateTensorShapesFromInputs().

◆ m_RecurrentToCellWeights

std::unique_ptr<ScopedCpuTensorHandle> m_RecurrentToCellWeights

A unique pointer to represent 2D weights tensor with dimensions [num_units, outputSize] (QSymmS8).

Definition at line 26 of file QLstmLayer.hpp.

Referenced by QLstmLayer::Accept(), QLstmLayer::Clone(), QLstmLayer::CreateWorkload(), QLstmLayer::ExecuteStrategy(), QLstmLayer::GetConstantTensorsByRef(), and QLstmLayer::ValidateTensorShapesFromInputs().

◆ m_RecurrentToForgetWeights

std::unique_ptr<ScopedCpuTensorHandle> m_RecurrentToForgetWeights

A unique pointer to represent 2D weights tensor with dimensions [num_units, outputSize] (QSymmS8).

Definition at line 24 of file QLstmLayer.hpp.

Referenced by QLstmLayer::Accept(), QLstmLayer::Clone(), QLstmLayer::CreateWorkload(), QLstmLayer::ExecuteStrategy(), QLstmLayer::GetConstantTensorsByRef(), and QLstmLayer::ValidateTensorShapesFromInputs().

◆ m_RecurrentToOutputWeights

std::unique_ptr<ScopedCpuTensorHandle> m_RecurrentToOutputWeights

A unique pointer to represent 2D weights tensor with dimensions [num_units, outputSize] (QSymmS8).

Definition at line 28 of file QLstmLayer.hpp.

Referenced by QLstmLayer::Accept(), QLstmLayer::Clone(), QLstmLayer::CreateWorkload(), QLstmLayer::ExecuteStrategy(), QLstmLayer::GetConstantTensorsByRef(), and QLstmLayer::ValidateTensorShapesFromInputs().

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