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Austin Schuh70cc9552019-01-21 19:46:48 -08001// Ceres Solver - A fast non-linear least squares minimizer
2// Copyright 2015 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
19// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
20// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
21// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
22// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
23// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
24// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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26// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
27// POSSIBILITY OF SUCH DAMAGE.
28//
29// Author: keir@google.com (Keir Mierle)
30// sameeragarwal@google.com (Sameer Agarwal)
31
32#include "ceres/evaluator_test_utils.h"
Austin Schuh1d1e6ea2020-12-23 21:56:30 -080033
Austin Schuh70cc9552019-01-21 19:46:48 -080034#include "ceres/internal/eigen.h"
35#include "gtest/gtest.h"
36
37namespace ceres {
38namespace internal {
39
40void CompareEvaluations(int expected_num_rows,
41 int expected_num_cols,
42 double expected_cost,
43 const double* expected_residuals,
44 const double* expected_gradient,
45 const double* expected_jacobian,
46 const double actual_cost,
47 const double* actual_residuals,
48 const double* actual_gradient,
49 const double* actual_jacobian) {
50 EXPECT_EQ(expected_cost, actual_cost);
51
52 if (expected_residuals != NULL) {
53 ConstVectorRef expected_residuals_vector(expected_residuals,
54 expected_num_rows);
Austin Schuh1d1e6ea2020-12-23 21:56:30 -080055 ConstVectorRef actual_residuals_vector(actual_residuals, expected_num_rows);
56 EXPECT_TRUE(
57 (actual_residuals_vector.array() == expected_residuals_vector.array())
58 .all())
59 << "Actual:\n"
60 << actual_residuals_vector << "\nExpected:\n"
61 << expected_residuals_vector;
Austin Schuh70cc9552019-01-21 19:46:48 -080062 }
63
64 if (expected_gradient != NULL) {
65 ConstVectorRef expected_gradient_vector(expected_gradient,
66 expected_num_cols);
Austin Schuh1d1e6ea2020-12-23 21:56:30 -080067 ConstVectorRef actual_gradient_vector(actual_gradient, expected_num_cols);
Austin Schuh70cc9552019-01-21 19:46:48 -080068
Austin Schuh1d1e6ea2020-12-23 21:56:30 -080069 EXPECT_TRUE(
70 (actual_gradient_vector.array() == expected_gradient_vector.array())
71 .all())
72 << "Actual:\n"
73 << actual_gradient_vector.transpose() << "\nExpected:\n"
74 << expected_gradient_vector.transpose();
Austin Schuh70cc9552019-01-21 19:46:48 -080075 }
76
77 if (expected_jacobian != NULL) {
Austin Schuh1d1e6ea2020-12-23 21:56:30 -080078 ConstMatrixRef expected_jacobian_matrix(
79 expected_jacobian, expected_num_rows, expected_num_cols);
80 ConstMatrixRef actual_jacobian_matrix(
81 actual_jacobian, expected_num_rows, expected_num_cols);
82 EXPECT_TRUE(
83 (actual_jacobian_matrix.array() == expected_jacobian_matrix.array())
84 .all())
85 << "Actual:\n"
86 << actual_jacobian_matrix << "\nExpected:\n"
87 << expected_jacobian_matrix;
Austin Schuh70cc9552019-01-21 19:46:48 -080088 }
89}
90
91} // namespace internal
92} // namespace ceres