|  | // This file is part of Eigen, a lightweight C++ template library | 
|  | // for linear algebra. | 
|  | // | 
|  | // Copyright (C) 2014 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> | 
|  | using Eigen::Tensor; | 
|  |  | 
|  | static void test_simple_assign() { | 
|  | Tensor<int, 3> random(2, 3, 7); | 
|  | random.setRandom(); | 
|  |  | 
|  | TensorMap<Tensor<const int, 3> > constant(random.data(), 2, 3, 7); | 
|  | Tensor<int, 3> result(2, 3, 7); | 
|  | result = constant; | 
|  |  | 
|  | for (int i = 0; i < 2; ++i) { | 
|  | for (int j = 0; j < 3; ++j) { | 
|  | for (int k = 0; k < 7; ++k) { | 
|  | VERIFY_IS_EQUAL((result(i, j, k)), random(i, j, k)); | 
|  | } | 
|  | } | 
|  | } | 
|  | } | 
|  |  | 
|  | static void test_assign_of_const_tensor() { | 
|  | Tensor<int, 3> random(2, 3, 7); | 
|  | random.setRandom(); | 
|  |  | 
|  | TensorMap<Tensor<const int, 3> > constant1(random.data(), 2, 3, 7); | 
|  | TensorMap<const Tensor<int, 3> > constant2(random.data(), 2, 3, 7); | 
|  | const TensorMap<Tensor<int, 3> > constant3(random.data(), 2, 3, 7); | 
|  |  | 
|  | Tensor<int, 2> result1 = constant1.chip(0, 2); | 
|  | Tensor<int, 2> result2 = constant2.chip(0, 2); | 
|  | Tensor<int, 2> result3 = constant3.chip(0, 2); | 
|  |  | 
|  | for (int i = 0; i < 2; ++i) { | 
|  | for (int j = 0; j < 3; ++j) { | 
|  | VERIFY_IS_EQUAL((result1(i, j)), random(i, j, 0)); | 
|  | VERIFY_IS_EQUAL((result2(i, j)), random(i, j, 0)); | 
|  | VERIFY_IS_EQUAL((result3(i, j)), random(i, j, 0)); | 
|  | } | 
|  | } | 
|  | } | 
|  |  | 
|  | EIGEN_DECLARE_TEST(cxx11_tensor_const) { | 
|  | CALL_SUBTEST(test_simple_assign()); | 
|  | CALL_SUBTEST(test_assign_of_const_tensor()); | 
|  | } |