// This file is part of Eigen, a lightweight C++ template library // for linear algebra. // // Copyright (C) 2015 Benoit Steiner <benoit.steiner.goog@gmail.com> // // This Source Code Form is subject to the terms of the Mozilla // Public License v. 2.0. If a copy of the MPL was not distributed // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. #include "main.h" #include <Eigen/CXX11/Tensor> struct Generator1D { Generator1D() { } float operator()(const array<Eigen::DenseIndex, 1>& coordinates) const { return coordinates[0]; } }; template <int DataLayout> static void test_1D() { Tensor<float, 1> vec(6); Tensor<float, 1> result = vec.generate(Generator1D()); for (int i = 0; i < 6; ++i) { VERIFY_IS_EQUAL(result(i), i); } } struct Generator2D { Generator2D() { } float operator()(const array<Eigen::DenseIndex, 2>& coordinates) const { return 3 * coordinates[0] + 11 * coordinates[1]; } }; template <int DataLayout> static void test_2D() { Tensor<float, 2> matrix(5, 7); Tensor<float, 2> result = matrix.generate(Generator2D()); for (int i = 0; i < 5; ++i) { for (int j = 0; j < 5; ++j) { VERIFY_IS_EQUAL(result(i, j), 3*i + 11*j); } } } template <int DataLayout> static void test_gaussian() { int rows = 32; int cols = 48; array<float, 2> means; means[0] = rows / 2.0f; means[1] = cols / 2.0f; array<float, 2> std_devs; std_devs[0] = 3.14f; std_devs[1] = 2.7f; internal::GaussianGenerator<float, Eigen::DenseIndex, 2> gaussian_gen(means, std_devs); Tensor<float, 2> matrix(rows, cols); Tensor<float, 2> result = matrix.generate(gaussian_gen); for (int i = 0; i < rows; ++i) { for (int j = 0; j < cols; ++j) { float g_rows = powf(rows/2.0f - i, 2) / (3.14f * 3.14f) * 0.5f; float g_cols = powf(cols/2.0f - j, 2) / (2.7f * 2.7f) * 0.5f; float gaussian = expf(-g_rows - g_cols); VERIFY_IS_EQUAL(result(i, j), gaussian); } } } void test_cxx11_tensor_generator() { CALL_SUBTEST(test_1D<ColMajor>()); CALL_SUBTEST(test_1D<RowMajor>()); CALL_SUBTEST(test_2D<ColMajor>()); CALL_SUBTEST(test_2D<RowMajor>()); CALL_SUBTEST(test_gaussian<ColMajor>()); CALL_SUBTEST(test_gaussian<RowMajor>()); }