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Austin Schuh70cc9552019-01-21 19:46:48 -08001// Ceres Solver - A fast non-linear least squares minimizer
2// Copyright 2018 Google Inc. All rights reserved.
3// http://ceres-solver.org/
4//
5// Redistribution and use in source and binary forms, with or without
6// modification, are permitted provided that the following conditions are met:
7//
8// * Redistributions of source code must retain the above copyright notice,
9// this list of conditions and the following disclaimer.
10// * Redistributions in binary form must reproduce the above copyright notice,
11// this list of conditions and the following disclaimer in the documentation
12// and/or other materials provided with the distribution.
13// * Neither the name of Google Inc. nor the names of its contributors may be
14// used to endorse or promote products derived from this software without
15// specific prior written permission.
16//
17// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
18// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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20// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
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24// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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28//
29// Author: mierle@gmail.com (Keir Mierle)
30
31#ifndef CERES_PUBLIC_EVALUATION_CALLBACK_H_
32#define CERES_PUBLIC_EVALUATION_CALLBACK_H_
33
34#include "ceres/internal/port.h"
35
36namespace ceres {
37
38// Using this callback interface, Ceres can notify you when it is about to
39// evaluate the residuals or jacobians. With the callback, you can share
40// computation between residual blocks by doing the shared computation in
41// PrepareForEvaluation() before Ceres calls CostFunction::Evaluate() on all
42// the residuals. It also enables caching results between a pure residual
43// evaluation and a residual & jacobian evaluation, via the
44// new_evaluation_point argument.
45//
46// One use case for this callback is if the cost function compute is moved to
47// the GPU. In that case, the prepare call does the actual cost function
48// evaluation, and subsequent calls from Ceres to the actual cost functions
49// merely copy the results from the GPU onto the corresponding blocks for Ceres
50// to plug into the solver.
51//
52// NOTE: Ceres provides no mechanism to share data other than the notification
53// from the callback. Users must provide access to pre-computed shared data to
54// their cost functions behind the scenes; this all happens without Ceres
55// knowing. One approach is to put a pointer to the shared data in each cost
56// function (recommended) or to use a global shared variable (discouraged;
57// bug-prone). As far as Ceres is concerned, it is evaluating cost functions
58// like any other; it just so happens that behind the scenes the cost functions
59// reuse pre-computed data to execute faster.
60class CERES_EXPORT EvaluationCallback {
61 public:
62 virtual ~EvaluationCallback() {}
63
64 // Called before Ceres requests residuals or jacobians for a given setting of
65 // the parameters. User parameters (the double* values provided to the cost
66 // functions) are fixed until the next call to PrepareForEvaluation(). If
67 // new_evaluation_point == true, then this is a new point that is different
68 // from the last evaluated point. Otherwise, it is the same point that was
69 // evaluated previously (either jacobian or residual) and the user can use
70 // cached results from previous evaluations.
71 virtual void PrepareForEvaluation(bool evaluate_jacobians,
72 bool new_evaluation_point) = 0;
73};
74
75} // namespace ceres
76
77#endif // CERES_PUBLIC_EVALUATION_CALLBACK_H_