From fd627ffaec8fd8801d980b4c91ee7c0607ab6aaf Mon Sep 17 00:00:00 2001 From: Jan Eilers Date: Thu, 25 Feb 2021 17:44:00 +0000 Subject: IVGCVSW-5687 Update Doxygen Docu * Update Doxygen Documentation for 21.02 release Signed-off-by: Jan Eilers Change-Id: I9ed2f9caab038836ea99d7b378d7899fe431a4e5 --- 21.02/structarmnn_1_1_activation_descriptor.xhtml | 334 ++++++++++++++++++++++ 1 file changed, 334 insertions(+) create mode 100644 21.02/structarmnn_1_1_activation_descriptor.xhtml (limited to '21.02/structarmnn_1_1_activation_descriptor.xhtml') diff --git a/21.02/structarmnn_1_1_activation_descriptor.xhtml b/21.02/structarmnn_1_1_activation_descriptor.xhtml new file mode 100644 index 0000000000..c3ce216123 --- /dev/null +++ b/21.02/structarmnn_1_1_activation_descriptor.xhtml @@ -0,0 +1,334 @@ + + + + + + + + + + + + + +ArmNN: ActivationDescriptor Struct Reference + + + + + + + + + + + + + + + + +
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+ + + + ArmNN + + + +
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+  21.02 +
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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...

+ +

#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
 
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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 25 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 27 of file Descriptors.hpp.

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28  : m_Function(ActivationFunction::Sigmoid)
29  , m_A(0)
30  , m_B(0)
31  {}
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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:50
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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:52
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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:48
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◆ ActivationDescriptor() [2/2]

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ActivationDescriptor (armnn::ActivationFunction activation,
float a = 0,
float b = 0 
)
+ 		+inline
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Definition at line 33 of file Descriptors.hpp.

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36  : m_Function(activation)
37  , m_A(a)
38  , m_B(b)
39  {}
armnn::ActivationDescriptor::m_A
float m_A
Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu).
Definition: Descriptors.hpp:50
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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:52
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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:48
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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 41 of file Descriptors.hpp.

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

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42  {
43  return m_Function == rhs.m_Function && m_A == rhs.m_B && m_B == rhs.m_B;
44  }
armnn::ActivationDescriptor::m_A
float m_A
Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu).
Definition: Descriptors.hpp:50
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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:52
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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:48
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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 50 of file Descriptors.hpp.

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Referenced by BOOST_AUTO_TEST_CASE(), armnn::BOOST_AUTO_TEST_CASE(), BoundedReLuTestCommon(), CompareActivationTestImpl(), CompareBoundedReLuTest(), armnnTfLiteParser::ComputeWrappedIndex(), ConstantLinearActivationTestCommon(), armnn::ConvertActivationDescriptorToAclActivationLayerInfo(), OnnxParserImpl::CreateNetworkFromString(), armnn::CreateStartOfLeakyReluNetwork(), RefActivationWorkload::Execute(), StaticRangeStrategy::ExecuteStrategy(), DynamicQuantizationStrategy::ExecuteStrategy(), armnnSerializer::GetFlatBufferArgMinMaxFunction(), IDeserializer::DeserializerImpl::GetNetworkOutputBindingInfo(), ITfParser::TfParserImpl::IsSupportedLeakyReluPattern(), TfLiteParserImpl::OutputShapeOfSqueeze(), ITfParser::TfParserImpl::ParseRelu6(), ICaffeParser::CaffeParserImpl::ParseReluLayer(), ITfParser::TfParserImpl::ParseTanh(), StringifyLayerParameters< ActivationDescriptor >::Serialize(), and SimpleActivationTest().

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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 52 of file Descriptors.hpp.

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Referenced by BOOST_AUTO_TEST_CASE(), armnn::BOOST_AUTO_TEST_CASE(), BoundedReLuTestCommon(), CompareActivationTestImpl(), CompareBoundedReLuTest(), armnnTfLiteParser::ComputeWrappedIndex(), ConstantLinearActivationTestCommon(), armnn::ConvertActivationDescriptorToAclActivationLayerInfo(), OnnxParserImpl::CreateNetworkFromString(), armnn::CreateStartOfLeakyReluNetwork(), RefActivationWorkload::Execute(), armnnSerializer::GetFlatBufferArgMinMaxFunction(), IDeserializer::DeserializerImpl::GetNetworkOutputBindingInfo(), ActivationDescriptor::operator==(), TfLiteParserImpl::OutputShapeOfSqueeze(), ITfParser::TfParserImpl::ParseRelu6(), ITfParser::TfParserImpl::ParseTanh(), StringifyLayerParameters< ActivationDescriptor >::Serialize(), and SimpleActivationTest().

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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 48 of file Descriptors.hpp.

+ +

Referenced by BOOST_AUTO_TEST_CASE(), armnn::BOOST_AUTO_TEST_CASE(), BoundedReLuTestCommon(), CompareActivationTestImpl(), CompareBoundedReLuTest(), armnnTfLiteParser::ComputeWrappedIndex(), ConstantLinearActivationTestCommon(), armnn::ConvertActivationDescriptorToAclActivationLayerInfo(), OnnxParserImpl::CreateNetworkFromString(), armnn::CreateStartOfLeakyReluNetwork(), RefActivationWorkload::Execute(), StaticRangeStrategy::ExecuteStrategy(), DynamicQuantizationStrategy::ExecuteStrategy(), armnnSerializer::GetFlatBufferArgMinMaxFunction(), armnn::GetInputTensorInfo(), IDeserializer::DeserializerImpl::GetNetworkOutputBindingInfo(), RefLayerSupport::IsActivationSupported(), ITfParser::TfParserImpl::IsSupportedLeakyReluPattern(), ActivationDescriptor::operator==(), TfLiteParserImpl::OutputShapeOfSqueeze(), ITfParser::TfParserImpl::ParseRelu(), ITfParser::TfParserImpl::ParseRelu6(), ICaffeParser::CaffeParserImpl::ParseReluLayer(), ITfParser::TfParserImpl::ParseSigmoid(), ITfParser::TfParserImpl::ParseSoftplus(), ITfParser::TfParserImpl::ParseTanh(), StringifyLayerParameters< ActivationDescriptor >::Serialize(), SimpleActivationTest(), and SqrtNNTest().

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The documentation for this struct was generated from the following file: +
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+ + + + -- cgit v1.2.1