-
Notifications
You must be signed in to change notification settings - Fork 3
/
ModelEvaluator.hpp
157 lines (129 loc) · 6.18 KB
/
ModelEvaluator.hpp
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
/*
*
* Copyright (c) 2017, Lawrence Livermore National Security, LLC.
* Produced at the Lawrence Livermore National Laboratory.
* Written by Slaven Peles <[email protected]>.
* LLNL-CODE-718378.
* All rights reserved.
*
* This file is part of GridKit™. For details, see github.com/LLNL/GridKit
* Please also read the LICENSE file.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* - Redistributions of source code must retain the above copyright notice,
* this list of conditions and the disclaimer below.
* - Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the disclaimer (as noted below) in the
* documentation and/or other materials provided with the distribution.
* - Neither the name of the LLNS/LLNL nor the names of its contributors may
* be used to endorse or promote products derived from this software without
* specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
* CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
* INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
* MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL LAWRENCE LIVERMORE NATIONAL
* SECURITY, LLC, THE U.S. DEPARTMENT OF ENERGY OR CONTRIBUTORS BE
* LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY,
* OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
* DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISINGIN ANY
* WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
* THE POSSIBILITY OF SUCH DAMAGE.
*
* Lawrence Livermore National Laboratory is operated by Lawrence Livermore
* National Security, LLC, for the U.S. Department of Energy, National
* Nuclear Security Administration under Contract DE-AC52-07NA27344.
*
* This document was prepared as an account of work sponsored by an agency
* of the United States government. Neither the United States government nor
* Lawrence Livermore National Security, LLC, nor any of their employees
* makes any warranty, expressed or implied, or assumes any legal liability
* or responsibility for the accuracy, completeness, or usefulness of any
* information, apparatus, product, or process disclosed, or represents that
* its use would not infringe privately owned rights. Reference herein to
* any specific commercial product, process, or service by trade name,
* trademark, manufacturer, or otherwise does not necessarily constitute or
* imply its endorsement, recommendation, or favoring by the United States
* government or Lawrence Livermore National Security, LLC. The views and
* opinions of authors expressed herein do not necessarily state or reflect
* those of the United States government or Lawrence Livermore National
* Security, LLC, and shall not be used for advertising or product
* endorsement purposes.
*
*/
#ifndef _MODEL_EVALUATOR_HPP_
#define _MODEL_EVALUATOR_HPP_
#include <vector>
#include <ScalarTraits.hpp>
#include <SparseMatrix/COO_Matrix.hpp>
namespace ModelLib
{
/*!
* @brief Abstract class describing a model.
*
*/
template <class ScalarT, typename IdxT>
class ModelEvaluator
{
public:
typedef typename GridKit::ScalarTraits<ScalarT>::real_type real_type;
ModelEvaluator(){}
virtual ~ModelEvaluator(){}
virtual int allocate() = 0;
virtual int initialize() = 0;
virtual int tagDifferentiable() = 0;
virtual int evaluateResidual() = 0;
virtual int evaluateJacobian() = 0;
virtual int evaluateIntegrand() = 0;
virtual int initializeAdjoint() = 0;
virtual int evaluateAdjointResidual() = 0;
// virtual int evaluateAdjointJacobian() = 0;
virtual int evaluateAdjointIntegrand() = 0;
virtual IdxT size() = 0;
virtual IdxT nnz() = 0;
/**
* @brief Is the Jacobian defined. Used in IDA to determine wether DQ is used or not
*
* @return true
* @return false
*/
virtual bool hasJacobian() = 0;
virtual IdxT size_quad() = 0;
virtual IdxT size_opt() = 0;
virtual void updateTime(real_type t, real_type a) = 0;
virtual void setTolerances(real_type& rtol, real_type& atol) const = 0;
virtual void setMaxSteps(IdxT& msa) const = 0;
virtual std::vector<ScalarT>& y() = 0;
virtual const std::vector<ScalarT>& y() const = 0;
virtual std::vector<ScalarT>& yp() = 0;
virtual const std::vector<ScalarT>& yp() const = 0;
virtual std::vector<bool>& tag() = 0;
virtual const std::vector<bool>& tag() const = 0;
virtual std::vector<ScalarT>& yB() = 0;
virtual const std::vector<ScalarT>& yB() const = 0;
virtual std::vector<ScalarT>& ypB() = 0;
virtual const std::vector<ScalarT>& ypB() const = 0;
virtual std::vector<ScalarT>& param() = 0;
virtual const std::vector<ScalarT>& param() const = 0;
virtual std::vector<ScalarT>& param_up() = 0;
virtual const std::vector<ScalarT>& param_up() const = 0;
virtual std::vector<ScalarT>& param_lo() = 0;
virtual const std::vector<ScalarT>& param_lo() const = 0;
virtual std::vector<ScalarT>& getResidual() = 0;
virtual const std::vector<ScalarT>& getResidual() const = 0;
virtual COO_Matrix<ScalarT, IdxT>& getJacobian() = 0;
virtual const COO_Matrix<ScalarT, IdxT>& getJacobian() const = 0;
virtual std::vector<ScalarT>& getIntegrand() = 0;
virtual const std::vector<ScalarT>& getIntegrand() const = 0;
virtual std::vector<ScalarT>& getAdjointResidual() = 0;
virtual const std::vector<ScalarT>& getAdjointResidual() const = 0;
virtual std::vector<ScalarT>& getAdjointIntegrand() = 0;
virtual const std::vector<ScalarT>& getAdjointIntegrand() const = 0;
};
} // namespace ModelLib
#endif // _MODEL_EVALUATOR_HPP_