From ae050524109f1ce827962665436ef7430f2ac479 Mon Sep 17 00:00:00 2001 From: David Monahan Date: Wed, 22 Mar 2023 16:48:58 +0000 Subject: IVGCVSW-7255 Update Doxygen Documentation and publish on GitHub. * Updating Doxygen documentation for 23.02 release. Signed-off-by: David Monahan Change-Id: I545574ff7664b4595d2fe6a91a3c35d2ad55df82 --- 23.02/_activation_8cpp_source.xhtml | 183 +++++++++++++++++++++++++++++------- 1 file changed, 150 insertions(+), 33 deletions(-) (limited to '23.02/_activation_8cpp_source.xhtml') diff --git a/23.02/_activation_8cpp_source.xhtml b/23.02/_activation_8cpp_source.xhtml index ecbd30c722..4246f56cd3 100644 --- a/23.02/_activation_8cpp_source.xhtml +++ b/23.02/_activation_8cpp_source.xhtml @@ -8,7 +8,7 @@ - + ArmNN: src/backends/reference/workloads/Activation.cpp Source File @@ -19,9 +19,6 @@ - @@ -30,7 +27,8 @@ extensions: ["tex2jax.js"], jax: ["input/TeX","output/HTML-CSS"], }); - + + @@ -51,18 +49,21 @@ - + +/* @license-end */
@@ -76,7 +77,9 @@ $(function() {
@@ -98,38 +101,152 @@ $(document).ready(function(){initNavTree('_activation_8cpp_source.xhtml','');});
Activation.cpp
-Go to the documentation of this file.
1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "Activation.hpp"
7 
8 #include <cmath>
9 
10 namespace armnn
11 {
12 
13 float Activation(float in,
14  ActivationFunction function,
15  float a,
16  float b)
17 {
18  float output;
19 
20  // Compute the result of the activation function.
21  switch (function)
22  {
23  case ActivationFunction::Linear:
24  {
25  output = a * in + b;
26  break;
27  }
28  case ActivationFunction::Sigmoid:
29  {
30  output = 1.f / (1.f + expf(-in));
31  break;
32  }
33  case ActivationFunction::ReLu:
34  {
35  output = std::max(0.f, in);
36  break;
37  }
38  case ActivationFunction::BoundedReLu:
39  {
40  output = std::min(a, std::max(b, in));
41  break;
42  }
43  case ActivationFunction::SoftReLu:
44  {
45  output = logf(1.0f + expf(in));
46  break;
47  }
48  case ActivationFunction::LeakyReLu:
49  {
50  output = in > 0.0f ? in : (in * a);
51  break;
52  }
53  case ActivationFunction::Abs:
54  {
55  output = in < 0 ? -in : in;
56  break;
57  }
58  case ActivationFunction::Sqrt:
59  {
60  output = sqrtf(in);
61  break;
62  }
63  case ActivationFunction::Square:
64  {
65  output = in * in;
66  break;
67  }
68  case ActivationFunction::TanH:
69  {
70  output = a * tanhf(b * in);
71  break;
72  }
73  case ActivationFunction::Elu:
74  {
75  output = (in >= 0) ? in : a * (expf(in) - 1);
76  break;
77  }
78  case ActivationFunction::HardSwish:
79  {
80  // hard_swish(x) = x * relu6(x+3) / 6
81  // relu6(x) = min(max(x,0),6)
82  output = in * (std::min(std::max((in + 3),0.0f),6.0f)) / 6;
83  break;
84  }
85  default:
86  {
87  throw InvalidArgumentException("Unsupported activation function");
88  }
89  }
90 
91  return output;
92 }
93 
94 
95 void Activation(Decoder<float>& in,
96  Encoder<float>& out,
97  const TensorInfo& tensorInfo,
98  ActivationFunction function,
99  float a,
100  float b)
101 {
102  unsigned int numElements = tensorInfo.GetNumElements();
103 
104  for (unsigned int i = 0; i < numElements; i++)
105  {
106  out.Set(Activation(in.Get(), function, a, b));
107  ++in;
108  ++out;
109  }
110  in -= numElements;
111  out -= numElements;
112 }
113 
114 } //namespace armnn
-
Activation.hpp
- - - -
armnn::Encoder::Set
virtual void Set(IType right)=0
- - - -
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
-
armnn::Decoder::Get
virtual IType Get() const =0
-
armnn::Activation
float Activation(float in, ActivationFunction function, float a, float b)
Definition: Activation.cpp:13
- - -
armnn::ActivationFunction::BoundedReLu
min(a, max(b, input)) ReLu1 & ReLu6.
- - - - -
armnn::TensorInfo::GetNumElements
unsigned int GetNumElements() const
Definition: Tensor.hpp:196
-
armnn::ActivationFunction
ActivationFunction
Definition: Types.hpp:86
- - +Go to the documentation of this file.
1 //
+
2 // Copyright © 2017 Arm Ltd. All rights reserved.
+
3 // SPDX-License-Identifier: MIT
+
4 //
+
5 
+
6 #include "Activation.hpp"
+
7 
+
8 #include <cmath>
+
9 
+
10 namespace armnn
+
11 {
+
12 
+
13 float Activation(float in,
+
14  ActivationFunction function,
+
15  float a,
+
16  float b)
+
17 {
+
18  float output;
+
19 
+
20  // Compute the result of the activation function.
+
21  switch (function)
+
22  {
+
23  case ActivationFunction::Linear:
+
24  {
+
25  output = a * in + b;
+
26  break;
+
27  }
+
28  case ActivationFunction::Sigmoid:
+
29  {
+
30  output = 1.f / (1.f + expf(-in));
+
31  break;
+
32  }
+
33  case ActivationFunction::ReLu:
+
34  {
+
35  output = std::max(0.f, in);
+
36  break;
+
37  }
+
38  case ActivationFunction::BoundedReLu:
+
39  {
+
40  output = std::min(a, std::max(b, in));
+
41  break;
+
42  }
+
43  case ActivationFunction::SoftReLu:
+
44  {
+
45  output = logf(1.0f + expf(in));
+
46  break;
+
47  }
+
48  case ActivationFunction::LeakyReLu:
+
49  {
+
50  output = in > 0.0f ? in : (in * a);
+
51  break;
+
52  }
+
53  case ActivationFunction::Abs:
+
54  {
+
55  output = in < 0 ? -in : in;
+
56  break;
+
57  }
+
58  case ActivationFunction::Sqrt:
+
59  {
+
60  output = sqrtf(in);
+
61  break;
+
62  }
+
63  case ActivationFunction::Square:
+
64  {
+
65  output = in * in;
+
66  break;
+
67  }
+
68  case ActivationFunction::TanH:
+
69  {
+
70  output = a * tanhf(b * in);
+
71  break;
+
72  }
+
73  case ActivationFunction::Elu:
+
74  {
+
75  output = (in >= 0) ? in : a * (expf(in) - 1);
+
76  break;
+
77  }
+
78  case ActivationFunction::HardSwish:
+
79  {
+
80  // hard_swish(x) = x * relu6(x+3) / 6
+
81  // relu6(x) = min(max(x,0),6)
+
82  output = in * (std::min(std::max((in + 3),0.0f),6.0f)) / 6;
+
83  break;
+
84  }
+
85  default:
+
86  {
+
87  throw InvalidArgumentException("Unsupported activation function");
+
88  }
+
89  }
+
90 
+
91  return output;
+
92 }
+
93 
+
94 
+
95 void Activation(Decoder<float>& in,
+
96  Encoder<float>& out,
+
97  const TensorInfo& tensorInfo,
+
98  ActivationFunction function,
+
99  float a,
+
100  float b)
+
101 {
+
102  unsigned int numElements = tensorInfo.GetNumElements();
+
103 
+
104  for (unsigned int i = 0; i < numElements; i++)
+
105  {
+
106  out.Set(Activation(in.Get(), function, a, b));
+
107  ++in;
+
108  ++out;
+
109  }
+
110  in -= numElements;
+
111  out -= numElements;
+
112 }
+
113 
+
114 } //namespace armnn
+ + + + + + +
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
+ + +
armnn::TensorInfo::GetNumElements
unsigned int GetNumElements() const
Definition: Tensor.hpp:196
+ + + +
armnn::Encoder::Set
virtual void Set(IType right)=0
+ +
armnn::Activation
float Activation(float in, ActivationFunction function, float a, float b)
Definition: Activation.cpp:13
+
armnn::Decoder::Get
virtual IType Get() const =0
+ + + +
armnn::ActivationFunction::BoundedReLu
@ BoundedReLu
min(a, max(b, input)) ReLu1 & ReLu6.
+ +
armnn::ActivationFunction
ActivationFunction
Definition: Types.hpp:86
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