From 6940dd720ebb6b3d1df8ca203ab696daefe58189 Mon Sep 17 00:00:00 2001 From: Jim Flynn Date: Fri, 20 Mar 2020 12:25:56 +0000 Subject: renamed Documentation folder 20.02 and added .nojekyll file Signed-off-by: Jim Flynn --- 20.02/structarmnn_1_1_activation_descriptor.xhtml | 276 ++++++++++++++++++++++ 1 file changed, 276 insertions(+) create mode 100644 20.02/structarmnn_1_1_activation_descriptor.xhtml (limited to '20.02/structarmnn_1_1_activation_descriptor.xhtml') diff --git a/20.02/structarmnn_1_1_activation_descriptor.xhtml b/20.02/structarmnn_1_1_activation_descriptor.xhtml new file mode 100644 index 0000000000..2e673a41d3 --- /dev/null +++ b/20.02/structarmnn_1_1_activation_descriptor.xhtml @@ -0,0 +1,276 @@ + + + + + + + + + + + + + +ArmNN: ActivationDescriptor Struct Reference + + + + + + + + + + + + + + + + +
+
+ + + + 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: +
+
+ + + + -- cgit v1.2.1