ArmNN
 20.02
Public Member Functions | Public Attributes | List of all members
ActivationDescriptor Struct Reference

An ActivationDescriptor for the ActivationLayer. More...

#include <Descriptors.hpp>

Public Member Functions

 ActivationDescriptor ()
 
bool operator== (const ActivationDescriptor &rhs) const
 

Public Attributes

ActivationFunction m_Function
 The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square). More...
 
float m_A
 Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH). More...
 
float m_B
 Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). More...
 

Detailed Description

An ActivationDescriptor for the ActivationLayer.

Definition at line 20 of file Descriptors.hpp.

Constructor & Destructor Documentation

◆ ActivationDescriptor()

ActivationDescriptor ( )
inline

Definition at line 22 of file Descriptors.hpp.

23  : m_Function(ActivationFunction::Sigmoid)
24  , m_A(0)
25  , m_B(0)
26  {}
armnn::ActivationDescriptor::m_A
float m_A
Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH).
Definition: Descriptors.hpp:37
armnn::ActivationDescriptor::m_B
float m_B
Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH).
Definition: Descriptors.hpp:39
armnn::ActivationDescriptor::m_Function
ActivationFunction m_Function
The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square).
Definition: Descriptors.hpp:35

Member Function Documentation

◆ operator==()

bool operator== ( const ActivationDescriptor &  rhs) const
inline

Definition at line 28 of file Descriptors.hpp.

References ActivationDescriptor::m_A, ActivationDescriptor::m_B, and ActivationDescriptor::m_Function.

29  {
30  return m_Function == rhs.m_Function && m_A == rhs.m_B && m_B == rhs.m_B;
31  }
armnn::ActivationDescriptor::m_A
float m_A
Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH).
Definition: Descriptors.hpp:37
armnn::ActivationDescriptor::m_B
float m_B
Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH).
Definition: Descriptors.hpp:39
armnn::ActivationDescriptor::m_Function
ActivationFunction m_Function
The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square).
Definition: Descriptors.hpp:35

Member Data Documentation

◆ m_A

float m_A

Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH).

Definition at line 37 of file Descriptors.hpp.

Referenced by BOOST_AUTO_TEST_CASE(), armnn::BOOST_AUTO_TEST_CASE(), BoundedReLuTestCommon(), CompareActivationTestImpl(), CompareBoundedReLuTest(), ConstantLinearActivationTestCommon(), armnn::ConvertActivationDescriptorToAclActivationLayerInfo(), armnn::CreateStartOfLeakyReluNetwork(), RefActivationWorkload::Execute(), Deserializer::GetNetworkOutputBindingInfo(), ActivationDescriptor::operator==(), armnnTfParser::OutputShapeOfExpandDims(), TfLiteParser::OutputShapeOfReshape(), TfLiteParser::OutputShapeOfSqueeze(), armnnTfParser::OutputShapeOfSqueeze(), CaffeParserBase::ParseReluLayer(), StringifyLayerParameters< ActivationDescriptor >::Serialize(), SimpleActivationTest(), DynamicQuantizationVisitor::VisitActivationLayer(), StaticRangeVisitor::VisitActivationLayer(), and SerializerVisitor::VisitActivationLayer().

◆ m_B

float m_B

Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH).

Definition at line 39 of file Descriptors.hpp.

Referenced by BOOST_AUTO_TEST_CASE(), armnn::BOOST_AUTO_TEST_CASE(), BoundedReLuTestCommon(), CompareActivationTestImpl(), CompareBoundedReLuTest(), ConstantLinearActivationTestCommon(), armnn::ConvertActivationDescriptorToAclActivationLayerInfo(), armnn::CreateStartOfLeakyReluNetwork(), RefActivationWorkload::Execute(), Deserializer::GetNetworkOutputBindingInfo(), ActivationDescriptor::operator==(), TfLiteParser::OutputShapeOfReshape(), TfLiteParser::OutputShapeOfSqueeze(), armnnTfParser::OutputShapeOfSqueeze(), StringifyLayerParameters< ActivationDescriptor >::Serialize(), SimpleActivationTest(), and SerializerVisitor::VisitActivationLayer().

◆ m_Function

ActivationFunction m_Function

The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square).

Definition at line 35 of file Descriptors.hpp.

Referenced by armnn::BOOST_AUTO_TEST_CASE(), BOOST_AUTO_TEST_CASE(), BoundedReLuTestCommon(), CompareActivationTestImpl(), CompareBoundedReLuTest(), ConstantLinearActivationTestCommon(), armnn::ConvertActivationDescriptorToAclActivationLayerInfo(), OnnxParser::CreateNetworkFromString(), armnn::CreateStartOfLeakyReluNetwork(), RefActivationWorkload::Execute(), Deserializer::GetNetworkOutputBindingInfo(), RefLayerSupport::IsActivationSupported(), ActivationDescriptor::operator==(), ArgMinMaxDescriptor::operator==(), armnnTfParser::OutputShapeOfExpandDims(), TfLiteParser::OutputShapeOfReshape(), TfLiteParser::OutputShapeOfSqueeze(), armnnTfParser::OutputShapeOfSqueeze(), CaffeParserBase::ParseReluLayer(), StringifyLayerParameters< ActivationDescriptor >::Serialize(), SimpleActivationTest(), SqrtNNTest(), DynamicQuantizationVisitor::VisitActivationLayer(), StaticRangeVisitor::VisitActivationLayer(), and SerializerVisitor::VisitActivationLayer().

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