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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@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>
test_simple_padding()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>
test_padded_expr()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 
test_cxx11_tensor_padding()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