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      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 (at) 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 {
     15   Generator1D() { }
     16 
     17   float operator()(const array<Eigen::DenseIndex, 1>& coordinates) const {
     18     return coordinates[0];
     19   }
     20 };
     21 
     22 template <int DataLayout>
     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 {
     35   Generator2D() { }
     36 
     37   float operator()(const array<Eigen::DenseIndex, 2>& coordinates) const {
     38     return 3 * coordinates[0] + 11 * coordinates[1];
     39   }
     40 };
     41 
     42 template <int DataLayout>
     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>
     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 
     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