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82f0ce2726
This provide several advantages: - more flexibility in designing unit tests - unit tests can be glued to speed up compilation - unit tests are compiled with same predefined macros, which is a requirement for zapcc
47 lines
993 B
C++
47 lines
993 B
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2015 Benoit Steiner <benoit.steiner.goog@gmail.com>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#include "main.h"
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#include <Eigen/CXX11/Tensor>
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using Eigen::Tensor;
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using Eigen::RowMajor;
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static void test_tanh()
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{
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Tensor<float, 1> vec1(6);
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vec1.setRandom();
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Tensor<float, 1> vec2 = vec1.tanh();
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for (int i = 0; i < 6; ++i) {
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VERIFY_IS_APPROX(vec2(i), tanhf(vec1(i)));
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}
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}
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static void test_sigmoid()
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{
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Tensor<float, 1> vec1(6);
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vec1.setRandom();
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Tensor<float, 1> vec2 = vec1.sigmoid();
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for (int i = 0; i < 6; ++i) {
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VERIFY_IS_APPROX(vec2(i), 1.0f / (1.0f + std::exp(-vec1(i))));
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}
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}
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EIGEN_DECLARE_TEST(cxx11_tensor_math)
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{
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CALL_SUBTEST(test_tanh());
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CALL_SUBTEST(test_sigmoid());
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}
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