1 // This file is part of Eigen, a lightweight C++ template library 2 // for linear algebra. 3 // 4 // Copyright (C) 2014 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 using Eigen::Tensor; 15 16 template<int DataLayout> 17 static void test_simple_padding() 18 { 19 Tensor<float, 4, DataLayout> tensor(2,3,5,7); 20 tensor.setRandom(); 21 22 array<std::pair<ptrdiff_t, ptrdiff_t>, 4> paddings; 23 paddings[0] = std::make_pair(0, 0); 24 paddings[1] = std::make_pair(2, 1); 25 paddings[2] = std::make_pair(3, 4); 26 paddings[3] = std::make_pair(0, 0); 27 28 Tensor<float, 4, DataLayout> padded; 29 padded = tensor.pad(paddings); 30 31 VERIFY_IS_EQUAL(padded.dimension(0), 2+0); 32 VERIFY_IS_EQUAL(padded.dimension(1), 3+3); 33 VERIFY_IS_EQUAL(padded.dimension(2), 5+7); 34 VERIFY_IS_EQUAL(padded.dimension(3), 7+0); 35 36 for (int i = 0; i < 2; ++i) { 37 for (int j = 0; j < 6; ++j) { 38 for (int k = 0; k < 12; ++k) { 39 for (int l = 0; l < 7; ++l) { 40 if (j >= 2 && j < 5 && k >= 3 && k < 8) { 41 VERIFY_IS_EQUAL(padded(i,j,k,l), tensor(i,j-2,k-3,l)); 42 } else { 43 VERIFY_IS_EQUAL(padded(i,j,k,l), 0.0f); 44 } 45 } 46 } 47 } 48 } 49 } 50 51 template<int DataLayout> 52 static void test_padded_expr() 53 { 54 Tensor<float, 4, DataLayout> tensor(2,3,5,7); 55 tensor.setRandom(); 56 57 array<std::pair<ptrdiff_t, ptrdiff_t>, 4> paddings; 58 paddings[0] = std::make_pair(0, 0); 59 paddings[1] = std::make_pair(2, 1); 60 paddings[2] = std::make_pair(3, 4); 61 paddings[3] = std::make_pair(0, 0); 62 63 Eigen::DSizes<ptrdiff_t, 2> reshape_dims; 64 reshape_dims[0] = 12; 65 reshape_dims[1] = 84; 66 67 Tensor<float, 2, DataLayout> result; 68 result = tensor.pad(paddings).reshape(reshape_dims); 69 70 for (int i = 0; i < 2; ++i) { 71 for (int j = 0; j < 6; ++j) { 72 for (int k = 0; k < 12; ++k) { 73 for (int l = 0; l < 7; ++l) { 74 const float result_value = DataLayout == ColMajor ? 75 result(i+2*j,k+12*l) : result(j+6*i,l+7*k); 76 if (j >= 2 && j < 5 && k >= 3 && k < 8) { 77 VERIFY_IS_EQUAL(result_value, tensor(i,j-2,k-3,l)); 78 } else { 79 VERIFY_IS_EQUAL(result_value, 0.0f); 80 } 81 } 82 } 83 } 84 } 85 } 86 87 void test_cxx11_tensor_padding() 88 { 89 CALL_SUBTEST(test_simple_padding<ColMajor>()); 90 CALL_SUBTEST(test_simple_padding<RowMajor>()); 91 CALL_SUBTEST(test_padded_expr<ColMajor>()); 92 CALL_SUBTEST(test_padded_expr<RowMajor>()); 93 } 94