Imported Upstream version ceres 1.13.0
[platform/upstream/ceres-solver.git] / internal / ceres / evaluator_test_utils.cc
1 // Ceres Solver - A fast non-linear least squares minimizer
2 // Copyright 2015 Google Inc. All rights reserved.
3 // http://ceres-solver.org/
4 //
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6 // modification, are permitted provided that the following conditions are met:
7 //
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9 //   this list of conditions and the following disclaimer.
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14 //   used to endorse or promote products derived from this software without
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28 //
29 // Author: keir@google.com (Keir Mierle)
30 //         sameeragarwal@google.com (Sameer Agarwal)
31
32 #include "ceres/evaluator_test_utils.h"
33 #include "ceres/internal/eigen.h"
34 #include "gtest/gtest.h"
35
36 namespace ceres {
37 namespace internal {
38
39 void CompareEvaluations(int expected_num_rows,
40                         int expected_num_cols,
41                         double expected_cost,
42                         const double* expected_residuals,
43                         const double* expected_gradient,
44                         const double* expected_jacobian,
45                         const double actual_cost,
46                         const double* actual_residuals,
47                         const double* actual_gradient,
48                         const double* actual_jacobian) {
49   EXPECT_EQ(expected_cost, actual_cost);
50
51   if (expected_residuals != NULL) {
52     ConstVectorRef expected_residuals_vector(expected_residuals,
53                                              expected_num_rows);
54     ConstVectorRef actual_residuals_vector(actual_residuals,
55                                            expected_num_rows);
56     EXPECT_TRUE((actual_residuals_vector.array() ==
57                  expected_residuals_vector.array()).all())
58         << "Actual:\n" << actual_residuals_vector
59         << "\nExpected:\n" << expected_residuals_vector;
60   }
61
62   if (expected_gradient != NULL) {
63     ConstVectorRef expected_gradient_vector(expected_gradient,
64                                             expected_num_cols);
65     ConstVectorRef actual_gradient_vector(actual_gradient,
66                                             expected_num_cols);
67
68     EXPECT_TRUE((actual_gradient_vector.array() ==
69                  expected_gradient_vector.array()).all())
70         << "Actual:\n" << actual_gradient_vector.transpose()
71         << "\nExpected:\n" << expected_gradient_vector.transpose();
72   }
73
74   if (expected_jacobian != NULL) {
75     ConstMatrixRef expected_jacobian_matrix(expected_jacobian,
76                                             expected_num_rows,
77                                             expected_num_cols);
78     ConstMatrixRef actual_jacobian_matrix(actual_jacobian,
79                                           expected_num_rows,
80                                           expected_num_cols);
81     EXPECT_TRUE((actual_jacobian_matrix.array() ==
82                  expected_jacobian_matrix.array()).all())
83         << "Actual:\n" << actual_jacobian_matrix
84         << "\nExpected:\n" << expected_jacobian_matrix;
85   }
86 }
87
88 }  // namespace internal
89 }  // namespace ceres