From 03c7ff3f6188240baaeaeb405a357a0c58195fec Mon Sep 17 00:00:00 2001 From: Nikhil Raj Date: Tue, 22 Aug 2023 12:00:04 +0100 Subject: IVGCVSW-7702 Update Doxygen Docu for 23.08 Signed-off-by: Nikhil Raj Change-Id: I357a9f7e47614589327c1ac5d95b6224ff77103d --- latest/_lstm_parameters_8hpp_source.html | 215 +++++++++++++++++++++++++++++++ 1 file changed, 215 insertions(+) create mode 100644 latest/_lstm_parameters_8hpp_source.html (limited to 'latest/_lstm_parameters_8hpp_source.html') diff --git a/latest/_lstm_parameters_8hpp_source.html b/latest/_lstm_parameters_8hpp_source.html new file mode 100644 index 0000000000..30d6cf56bb --- /dev/null +++ b/latest/_lstm_parameters_8hpp_source.html @@ -0,0 +1,215 @@ + + + + + + + + +Arm NN: src/armnn/layers/LstmParameters.hpp Source File + + + + + + + + + + + + + + + + +
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+ + + + ArmNN + + + +
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+  23.08 +
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LstmParameters.hpp
+
+
+Go to the documentation of this file.
1 //
+
2 // Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
+
3 // SPDX-License-Identifier: MIT
+
4 //
+
5 #pragma once
+
6 
+
7 #include "LayerWithParameters.hpp"
+
8 
+
9 namespace armnn
+
10 {
+
11 
+
12 class ScopedTensorHandle;
+
13 
+
14 struct LstmOptLayerNormParameters
+
15 {
+
16  /// A unique pointer to represent 1D weights tensor with dimensions [num_units].
+
17  std::shared_ptr<ConstTensorHandle> m_InputLayerNormWeights;
+
18  /// A unique pointer to represent 1D weights tensor with dimensions [num_units].
+
19  std::shared_ptr<ConstTensorHandle> m_ForgetLayerNormWeights;
+
20  /// A unique pointer to represent 1D weights tensor with dimensions [num_units].
+
21  std::shared_ptr<ConstTensorHandle> m_CellLayerNormWeights;
+
22  /// A unique pointer to represent 1D weights tensor with dimensions [num_units].
+
23  std::shared_ptr<ConstTensorHandle> m_OutputLayerNormWeights;
+
24 };
+
25 
+
26 struct LstmOptCifgParameters
+
27 {
+
28  /// A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units].
+
29  std::shared_ptr<ConstTensorHandle> m_InputToInputWeights;
+
30  /// A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units].
+
31  std::shared_ptr<ConstTensorHandle> m_RecurrentToInputWeights;
+
32  /// A unique pointer to represent 1D weights tensor with dimensions [num_units].
+
33  std::shared_ptr<ConstTensorHandle> m_InputGateBias;
+
34 };
+
35 
+
36 struct LstmOptProjectionParameters
+
37 {
+
38  /// A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units].
+
39  std::shared_ptr<ConstTensorHandle> m_ProjectionWeights;
+
40  /// A unique pointer to represent 1D weights tensor with dimensions [output_size].
+
41  std::shared_ptr<ConstTensorHandle> m_ProjectionBias;
+
42 };
+
43 
+
44 struct LstmOptPeepholeParameters
+
45 {
+
46  /// A unique pointer to represent 1D weights tensor with dimensions [num_units].
+
47  std::shared_ptr<ConstTensorHandle> m_CellToInputWeights;
+
48  /// A unique pointer to represent 1D weights tensor with dimensions [num_units].
+
49  std::shared_ptr<ConstTensorHandle> m_CellToForgetWeights;
+
50  /// A unique pointer to represent 1D weights tensor with dimensions [num_units].
+
51  std::shared_ptr<ConstTensorHandle> m_CellToOutputWeights;
+
52 };
+
53 
+
54 struct LstmBasicParameters
+
55 {
+
56  /// A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units].
+
57  std::shared_ptr<ConstTensorHandle> m_InputToForgetWeights;
+
58  /// A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units].
+
59  std::shared_ptr<ConstTensorHandle> m_InputToCellWeights;
+
60  /// A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units].
+
61  std::shared_ptr<ConstTensorHandle> m_InputToOutputWeights;
+
62  /// A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units].
+
63  std::shared_ptr<ConstTensorHandle> m_RecurrentToForgetWeights;
+
64  /// A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units].
+
65  std::shared_ptr<ConstTensorHandle> m_RecurrentToCellWeights;
+
66  /// A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units].
+
67  std::shared_ptr<ConstTensorHandle> m_RecurrentToOutputWeights;
+
68  /// A unique pointer to represent 1D weights tensor with dimensions [num_units].
+
69  std::shared_ptr<ConstTensorHandle> m_ForgetGateBias;
+
70  /// A unique pointer to represent 1D weights tensor with dimensions [num_units].
+
71  std::shared_ptr<ConstTensorHandle> m_CellBias;
+
72  /// A unique pointer to represent 1D weights tensor with dimensions [num_units].
+
73  std::shared_ptr<ConstTensorHandle> m_OutputGateBias;
+
74 };
+
75 
+
76 } // namespace
+
+
+
armnn::LstmOptProjectionParameters::m_ProjectionWeights
std::shared_ptr< ConstTensorHandle > m_ProjectionWeights
A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units].
Definition: LstmParameters.hpp:39
+
armnn::LstmOptLayerNormParameters::m_OutputLayerNormWeights
std::shared_ptr< ConstTensorHandle > m_OutputLayerNormWeights
A unique pointer to represent 1D weights tensor with dimensions [num_units].
Definition: LstmParameters.hpp:23
+
armnn::LstmBasicParameters::m_InputToCellWeights
std::shared_ptr< ConstTensorHandle > m_InputToCellWeights
A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units].
Definition: LstmParameters.hpp:59
+
armnn::LstmOptLayerNormParameters::m_InputLayerNormWeights
std::shared_ptr< ConstTensorHandle > m_InputLayerNormWeights
A unique pointer to represent 1D weights tensor with dimensions [num_units].
Definition: LstmParameters.hpp:17
+
armnn::LstmOptCifgParameters::m_InputGateBias
std::shared_ptr< ConstTensorHandle > m_InputGateBias
A unique pointer to represent 1D weights tensor with dimensions [num_units].
Definition: LstmParameters.hpp:33
+
armnn::LstmOptPeepholeParameters::m_CellToInputWeights
std::shared_ptr< ConstTensorHandle > m_CellToInputWeights
A unique pointer to represent 1D weights tensor with dimensions [num_units].
Definition: LstmParameters.hpp:47
+ +
armnn::LstmOptProjectionParameters::m_ProjectionBias
std::shared_ptr< ConstTensorHandle > m_ProjectionBias
A unique pointer to represent 1D weights tensor with dimensions [output_size].
Definition: LstmParameters.hpp:41
+
armnn::LstmBasicParameters::m_InputToOutputWeights
std::shared_ptr< ConstTensorHandle > m_InputToOutputWeights
A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units].
Definition: LstmParameters.hpp:61
+
armnn::LstmBasicParameters::m_ForgetGateBias
std::shared_ptr< ConstTensorHandle > m_ForgetGateBias
A unique pointer to represent 1D weights tensor with dimensions [num_units].
Definition: LstmParameters.hpp:69
+
armnn::LstmOptLayerNormParameters::m_CellLayerNormWeights
std::shared_ptr< ConstTensorHandle > m_CellLayerNormWeights
A unique pointer to represent 1D weights tensor with dimensions [num_units].
Definition: LstmParameters.hpp:21
+ +
armnn::LstmOptCifgParameters::m_RecurrentToInputWeights
std::shared_ptr< ConstTensorHandle > m_RecurrentToInputWeights
A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units].
Definition: LstmParameters.hpp:31
+ + +
armnn::LstmBasicParameters::m_OutputGateBias
std::shared_ptr< ConstTensorHandle > m_OutputGateBias
A unique pointer to represent 1D weights tensor with dimensions [num_units].
Definition: LstmParameters.hpp:73
+
armnn::LstmBasicParameters::m_CellBias
std::shared_ptr< ConstTensorHandle > m_CellBias
A unique pointer to represent 1D weights tensor with dimensions [num_units].
Definition: LstmParameters.hpp:71
+ +
armnn::LstmOptCifgParameters::m_InputToInputWeights
std::shared_ptr< ConstTensorHandle > m_InputToInputWeights
A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units].
Definition: LstmParameters.hpp:29
+
armnn::LstmBasicParameters::m_InputToForgetWeights
std::shared_ptr< ConstTensorHandle > m_InputToForgetWeights
A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units].
Definition: LstmParameters.hpp:57
+
armnn::LstmBasicParameters::m_RecurrentToCellWeights
std::shared_ptr< ConstTensorHandle > m_RecurrentToCellWeights
A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units].
Definition: LstmParameters.hpp:65
+
armnn::LstmBasicParameters::m_RecurrentToForgetWeights
std::shared_ptr< ConstTensorHandle > m_RecurrentToForgetWeights
A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units].
Definition: LstmParameters.hpp:63
+
armnn::LstmBasicParameters::m_RecurrentToOutputWeights
std::shared_ptr< ConstTensorHandle > m_RecurrentToOutputWeights
A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units].
Definition: LstmParameters.hpp:67
+
armnn::LstmOptPeepholeParameters::m_CellToOutputWeights
std::shared_ptr< ConstTensorHandle > m_CellToOutputWeights
A unique pointer to represent 1D weights tensor with dimensions [num_units].
Definition: LstmParameters.hpp:51
+
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
+
armnn::LstmOptLayerNormParameters::m_ForgetLayerNormWeights
std::shared_ptr< ConstTensorHandle > m_ForgetLayerNormWeights
A unique pointer to represent 1D weights tensor with dimensions [num_units].
Definition: LstmParameters.hpp:19
+ +
armnn::LstmOptPeepholeParameters::m_CellToForgetWeights
std::shared_ptr< ConstTensorHandle > m_CellToForgetWeights
A unique pointer to represent 1D weights tensor with dimensions [num_units].
Definition: LstmParameters.hpp:49
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