From cb0630959aeae05bc2ae9f6d80cf5f5983a8fb77 Mon Sep 17 00:00:00 2001 From: Nikhil Raj Date: Wed, 23 Nov 2022 11:05:29 +0000 Subject: IVGCVSW-7075 Update Doxygen for 22.11 Release Signed-off-by: Nikhil Raj Change-Id: Ib5669e8fd3739d1b10f5dd694d020d51799896dc --- 22.11/structarmnn_1_1_activation_descriptor.xhtml | 339 ++++++++++++++++++++++ 1 file changed, 339 insertions(+) create mode 100644 22.11/structarmnn_1_1_activation_descriptor.xhtml (limited to '22.11/structarmnn_1_1_activation_descriptor.xhtml') diff --git a/22.11/structarmnn_1_1_activation_descriptor.xhtml b/22.11/structarmnn_1_1_activation_descriptor.xhtml new file mode 100644 index 0000000000..5811575508 --- /dev/null +++ b/22.11/structarmnn_1_1_activation_descriptor.xhtml @@ -0,0 +1,339 @@ + + + + + + + + + + + + + +ArmNN: ActivationDescriptor Struct Reference + + + + + + + + + + + + + + + + +
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+ + + + ArmNN + + + +
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+  22.11 +
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+Public Member Functions | +Public Attributes | +List of all members
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ActivationDescriptor Struct Reference
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An ActivationDescriptor for the ActivationLayer. + More...

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#include <Descriptors.hpp>

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+Inheritance diagram for ActivationDescriptor:
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+ + +BaseDescriptor + +
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+Public Member Functions

 ActivationDescriptor ()
 
 ActivationDescriptor (armnn::ActivationFunction activation, float a=0, float b=0)
 
bool operator== (const ActivationDescriptor &rhs) const
 
- Public Member Functions inherited from BaseDescriptor
virtual bool IsNull () const
 
virtual ~BaseDescriptor ()=default
 
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+Public Attributes

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

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An ActivationDescriptor for the ActivationLayer.

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Definition at line 36 of file Descriptors.hpp.

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Constructor & Destructor Documentation

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◆ ActivationDescriptor() [1/2]

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ActivationDescriptor ()
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Definition at line 38 of file Descriptors.hpp.

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39  : m_Function(ActivationFunction::Sigmoid)
40  , m_A(0)
41  , m_B(0)
42  {}
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armnn::ActivationDescriptor::m_A
float m_A
Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu).
Definition: Descriptors.hpp:61
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armnn::ActivationDescriptor::m_B
float m_B
Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH).
Definition: Descriptors.hpp:63
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armnn::ActivationDescriptor::m_Function
ActivationFunction m_Function
The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu).
Definition: Descriptors.hpp:59
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◆ ActivationDescriptor() [2/2]

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ActivationDescriptor (armnn::ActivationFunction activation,
float a = 0,
float b = 0 
)
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Definition at line 44 of file Descriptors.hpp.

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47  : m_Function(activation)
48  , m_A(a)
49  , m_B(b)
50  {}
armnn::ActivationDescriptor::m_A
float m_A
Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu).
Definition: Descriptors.hpp:61
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armnn::ActivationDescriptor::m_B
float m_B
Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH).
Definition: Descriptors.hpp:63
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armnn::ActivationDescriptor::m_Function
ActivationFunction m_Function
The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu).
Definition: Descriptors.hpp:59
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Member Function Documentation

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◆ operator==()

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bool operator== (const ActivationDescriptor & rhs) const
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Definition at line 52 of file Descriptors.hpp.

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

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53  {
54  return m_Function == rhs.m_Function && m_A == rhs.m_B && m_B == rhs.m_B;
55  }
armnn::ActivationDescriptor::m_A
float m_A
Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu).
Definition: Descriptors.hpp:61
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armnn::ActivationDescriptor::m_B
float m_B
Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH).
Definition: Descriptors.hpp:63
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armnn::ActivationDescriptor::m_Function
ActivationFunction m_Function
The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu).
Definition: Descriptors.hpp:59
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Member Data Documentation

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◆ m_A

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

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Definition at line 61 of file Descriptors.hpp.

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Referenced by armnnTfLiteParser::ComputeWrappedIndex(), armnn::ConvertActivationDescriptorToAclActivationLayerInfo(), Converter::ConvertOperation(), OnnxParserImpl::CreateNetworkFromString(), RefActivationWorkload::ExecuteAsync(), armnnSerializer::GetFlatBufferArgMinMaxFunction(), IDeserializer::DeserializerImpl::GetNetworkOutputBindingInfo(), TfLiteParserImpl::OutputShapeOfSqueeze(), armnn_driver::ProcessActivation(), and StringifyLayerParameters< ActivationDescriptor >::Serialize().

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◆ m_B

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

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Definition at line 63 of file Descriptors.hpp.

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Referenced by armnnTfLiteParser::ComputeWrappedIndex(), armnn::ConvertActivationDescriptorToAclActivationLayerInfo(), Converter::ConvertOperation(), OnnxParserImpl::CreateNetworkFromString(), RefActivationWorkload::ExecuteAsync(), armnnSerializer::GetFlatBufferArgMinMaxFunction(), IDeserializer::DeserializerImpl::GetNetworkOutputBindingInfo(), ActivationDescriptor::operator==(), TfLiteParserImpl::OutputShapeOfSqueeze(), armnn_driver::ProcessActivation(), and StringifyLayerParameters< ActivationDescriptor >::Serialize().

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◆ m_Function

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

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Definition at line 59 of file Descriptors.hpp.

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Referenced by ClSqrtWorkload::ClSqrtWorkload(), armnnTfLiteParser::ComputeWrappedIndex(), armnn::ConvertActivationDescriptorToAclActivationLayerInfo(), Converter::ConvertOperation(), OnnxParserImpl::CreateNetworkFromString(), RefActivationWorkload::ExecuteAsync(), armnnSerializer::GetFlatBufferArgMinMaxFunction(), IDeserializer::DeserializerImpl::GetNetworkOutputBindingInfo(), RefLayerSupport::IsActivationSupported(), NeonSqrtWorkload::NeonSqrtWorkload(), ActivationDescriptor::operator==(), TfLiteParserImpl::OutputShapeOfSqueeze(), armnn_driver::ProcessActivation(), and StringifyLayerParameters< ActivationDescriptor >::Serialize().

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