| // 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::RowMajor; |
| using Eigen::Tensor; |
| |
| 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)))); |
| } |
| } |
| |
| EIGEN_DECLARE_TEST(cxx11_tensor_math) { |
| CALL_SUBTEST(test_tanh()); |
| CALL_SUBTEST(test_sigmoid()); |
| } |