| // 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> | 
 |  | 
 | using Eigen::Tensor; | 
 | using Eigen::RowMajor; | 
 |  | 
 | static void test_tanh() | 
 | { | 
 |   Tensor<float, 1> vec1({6}); | 
 |   vec1.setRandom(); | 
 |  | 
 |   Tensor<float, 1> vec2 = vec1.tanh(); | 
 |  | 
 |   for (int i = 0; i < 6; ++i) { | 
 |     VERIFY_IS_APPROX(vec2(i), tanhf(vec1(i))); | 
 |   } | 
 | } | 
 |  | 
 | static void test_sigmoid() | 
 | { | 
 |   Tensor<float, 1> vec1({6}); | 
 |   vec1.setRandom(); | 
 |  | 
 |   Tensor<float, 1> vec2 = vec1.sigmoid(); | 
 |  | 
 |   for (int i = 0; i < 6; ++i) { | 
 |     VERIFY_IS_APPROX(vec2(i), 1.0f / (1.0f + std::exp(-vec1(i)))); | 
 |   } | 
 | } | 
 |  | 
 |  | 
 | void test_cxx11_tensor_math() | 
 | { | 
 |   CALL_SUBTEST(test_tanh()); | 
 |   CALL_SUBTEST(test_sigmoid()); | 
 | } |