1 // This file is part of Eigen, a lightweight C++ template library
2 // for linear algebra.
3 //
4 // Copyright (C) 2015 Benoit Steiner <benoit.steiner.goog@gmail.com>
5 //
6 // This Source Code Form is subject to the terms of the Mozilla
7 // Public License v. 2.0. If a copy of the MPL was not distributed
8 // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
9
10 #include "main.h"
11
12 #include <Eigen/CXX11/Tensor>
13
14 struct Generator1D {
Generator1DGenerator1D15 Generator1D() { }
16
operator ()Generator1D17 float operator()(const array<Eigen::DenseIndex, 1>& coordinates) const {
18 return coordinates[0];
19 }
20 };
21
22 template <int DataLayout>
test_1D()23 static void test_1D()
24 {
25 Tensor<float, 1> vec(6);
26 Tensor<float, 1> result = vec.generate(Generator1D());
27
28 for (int i = 0; i < 6; ++i) {
29 VERIFY_IS_EQUAL(result(i), i);
30 }
31 }
32
33
34 struct Generator2D {
Generator2DGenerator2D35 Generator2D() { }
36
operator ()Generator2D37 float operator()(const array<Eigen::DenseIndex, 2>& coordinates) const {
38 return 3 * coordinates[0] + 11 * coordinates[1];
39 }
40 };
41
42 template <int DataLayout>
test_2D()43 static void test_2D()
44 {
45 Tensor<float, 2> matrix(5, 7);
46 Tensor<float, 2> result = matrix.generate(Generator2D());
47
48 for (int i = 0; i < 5; ++i) {
49 for (int j = 0; j < 5; ++j) {
50 VERIFY_IS_EQUAL(result(i, j), 3*i + 11*j);
51 }
52 }
53 }
54
55
56 template <int DataLayout>
test_gaussian()57 static void test_gaussian()
58 {
59 int rows = 32;
60 int cols = 48;
61 array<float, 2> means;
62 means[0] = rows / 2.0f;
63 means[1] = cols / 2.0f;
64 array<float, 2> std_devs;
65 std_devs[0] = 3.14f;
66 std_devs[1] = 2.7f;
67 internal::GaussianGenerator<float, Eigen::DenseIndex, 2> gaussian_gen(means, std_devs);
68
69 Tensor<float, 2> matrix(rows, cols);
70 Tensor<float, 2> result = matrix.generate(gaussian_gen);
71
72 for (int i = 0; i < rows; ++i) {
73 for (int j = 0; j < cols; ++j) {
74 float g_rows = powf(rows/2.0f - i, 2) / (3.14f * 3.14f) * 0.5f;
75 float g_cols = powf(cols/2.0f - j, 2) / (2.7f * 2.7f) * 0.5f;
76 float gaussian = expf(-g_rows - g_cols);
77 VERIFY_IS_EQUAL(result(i, j), gaussian);
78 }
79 }
80 }
81
82
test_cxx11_tensor_generator()83 void test_cxx11_tensor_generator()
84 {
85 CALL_SUBTEST(test_1D<ColMajor>());
86 CALL_SUBTEST(test_1D<RowMajor>());
87 CALL_SUBTEST(test_2D<ColMajor>());
88 CALL_SUBTEST(test_2D<RowMajor>());
89 CALL_SUBTEST(test_gaussian<ColMajor>());
90 CALL_SUBTEST(test_gaussian<RowMajor>());
91 }
92