InstanceNormalizationDescriptor Struct Reference

An InstanceNormalizationDescriptor for InstanceNormalizationLayer. More...

#include <Descriptors.hpp>

Inheritance diagram for InstanceNormalizationDescriptor:

Public Member Functions
	InstanceNormalizationDescriptor ()
bool	operator== (const InstanceNormalizationDescriptor &rhs) const
Public Member Functions inherited from BaseDescriptor
virtual bool	IsNull () const
virtual	~BaseDescriptor ()=default

Public Attributes
float	m_Gamma
	Gamma, the scale scalar value applied for the normalized tensor. Defaults to 1.0. More...
float	m_Beta
	Beta, the offset scalar value applied for the normalized tensor. Defaults to 1.0. More...
float	m_Eps
	Epsilon, small scalar value added to variance to avoid dividing by zero. Defaults to 1e-12f. More...
DataLayout	m_DataLayout
	The data layout to be used (NCHW, NHWC). More...

Detailed Description

An InstanceNormalizationDescriptor for InstanceNormalizationLayer.

Definition at line 808 of file Descriptors.hpp.

Constructor & Destructor Documentation

InstanceNormalizationDescriptor()

InstanceNormalizationDescriptor ( )

inline

Definition at line 810 of file Descriptors.hpp.

        : m_Gamma(1.0f)
        , m_Beta(0.0f)
        , m_Eps(1e-12f)
        , m_DataLayout(DataLayout::NCHW)
    {}

Member Function Documentation

operator==()

bool operator== ( const InstanceNormalizationDescriptor &  rhs ) const

inline

Definition at line 817 of file Descriptors.hpp.

References InstanceNormalizationDescriptor::m_Beta, InstanceNormalizationDescriptor::m_DataLayout, InstanceNormalizationDescriptor::m_Eps, and InstanceNormalizationDescriptor::m_Gamma.

    {
        return m_Gamma      == rhs.m_Gamma &&
               m_Beta       == rhs.m_Beta &&
               m_Eps        == rhs.m_Eps &&
               m_DataLayout == rhs.m_DataLayout;
    }

Member Data Documentation

m_Beta

float m_Beta

Beta, the offset scalar value applied for the normalized tensor. Defaults to 1.0.

Definition at line 828 of file Descriptors.hpp.

Referenced by Converter::ConvertOperation(), armnnSerializer::GetFlatBufferArgMinMaxFunction(), IDeserializer::DeserializerImpl::GetNetworkOutputBindingInfo(), armnn::InstanceNorm(), and InstanceNormalizationDescriptor::operator==().

m_DataLayout

DataLayout m_DataLayout

The data layout to be used (NCHW, NHWC).

Definition at line 832 of file Descriptors.hpp.

Referenced by Converter::ConvertOperation(), armnnSerializer::GetFlatBufferArgMinMaxFunction(), IDeserializer::DeserializerImpl::GetNetworkOutputBindingInfo(), armnn::InstanceNorm(), and InstanceNormalizationDescriptor::operator==().

m_Eps

float m_Eps

Epsilon, small scalar value added to variance to avoid dividing by zero. Defaults to 1e-12f.

Definition at line 830 of file Descriptors.hpp.

Referenced by Converter::ConvertOperation(), armnnSerializer::GetFlatBufferArgMinMaxFunction(), IDeserializer::DeserializerImpl::GetNetworkOutputBindingInfo(), armnn::InstanceNorm(), and InstanceNormalizationDescriptor::operator==().

m_Gamma

float m_Gamma

Gamma, the scale scalar value applied for the normalized tensor. Defaults to 1.0.

Definition at line 826 of file Descriptors.hpp.

Referenced by Converter::ConvertOperation(), armnnSerializer::GetFlatBufferArgMinMaxFunction(), IDeserializer::DeserializerImpl::GetNetworkOutputBindingInfo(), armnn::InstanceNorm(), and InstanceNormalizationDescriptor::operator==().

---

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

• include/armnn/Descriptors.hpp