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Austin Schuh70cc9552019-01-21 19:46:48 -08001// Ceres Solver - A fast non-linear least squares minimizer
Austin Schuh3de38b02024-06-25 18:25:10 -07002// Copyright 2023 Google Inc. All rights reserved.
Austin Schuh70cc9552019-01-21 19:46:48 -08003// 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//
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9// this list of conditions and the following disclaimer.
10// * Redistributions in binary form must reproduce the above copyright notice,
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14// used to endorse or promote products derived from this software without
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16//
17// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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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"
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
Austin Schuh3de38b02024-06-25 18:25:10 -070037namespace ceres::internal {
Austin Schuh70cc9552019-01-21 19:46:48 -080038
39void 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
Austin Schuh3de38b02024-06-25 18:25:10 -070051 if (expected_residuals != nullptr) {
Austin Schuh70cc9552019-01-21 19:46:48 -080052 ConstVectorRef expected_residuals_vector(expected_residuals,
53 expected_num_rows);
Austin Schuh1d1e6ea2020-12-23 21:56:30 -080054 ConstVectorRef actual_residuals_vector(actual_residuals, expected_num_rows);
55 EXPECT_TRUE(
56 (actual_residuals_vector.array() == expected_residuals_vector.array())
57 .all())
58 << "Actual:\n"
59 << actual_residuals_vector << "\nExpected:\n"
60 << expected_residuals_vector;
Austin Schuh70cc9552019-01-21 19:46:48 -080061 }
62
Austin Schuh3de38b02024-06-25 18:25:10 -070063 if (expected_gradient != nullptr) {
Austin Schuh70cc9552019-01-21 19:46:48 -080064 ConstVectorRef expected_gradient_vector(expected_gradient,
65 expected_num_cols);
Austin Schuh1d1e6ea2020-12-23 21:56:30 -080066 ConstVectorRef actual_gradient_vector(actual_gradient, expected_num_cols);
Austin Schuh70cc9552019-01-21 19:46:48 -080067
Austin Schuh1d1e6ea2020-12-23 21:56:30 -080068 EXPECT_TRUE(
69 (actual_gradient_vector.array() == expected_gradient_vector.array())
70 .all())
71 << "Actual:\n"
72 << actual_gradient_vector.transpose() << "\nExpected:\n"
73 << expected_gradient_vector.transpose();
Austin Schuh70cc9552019-01-21 19:46:48 -080074 }
75
Austin Schuh3de38b02024-06-25 18:25:10 -070076 if (expected_jacobian != nullptr) {
Austin Schuh1d1e6ea2020-12-23 21:56:30 -080077 ConstMatrixRef expected_jacobian_matrix(
78 expected_jacobian, expected_num_rows, expected_num_cols);
79 ConstMatrixRef actual_jacobian_matrix(
80 actual_jacobian, expected_num_rows, expected_num_cols);
81 EXPECT_TRUE(
82 (actual_jacobian_matrix.array() == expected_jacobian_matrix.array())
83 .all())
84 << "Actual:\n"
85 << actual_jacobian_matrix << "\nExpected:\n"
86 << expected_jacobian_matrix;
Austin Schuh70cc9552019-01-21 19:46:48 -080087 }
88}
89
Austin Schuh3de38b02024-06-25 18:25:10 -070090} // namespace ceres::internal