// 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; using Eigen::array; static void test_simple_cast() { Tensor<float, 2> ftensor(20,30); ftensor = ftensor.random() * 100.f; Tensor<char, 2> chartensor(20,30); chartensor.setRandom(); Tensor<std::complex<float>, 2> cplextensor(20,30); cplextensor.setRandom(); chartensor = ftensor.cast<char>(); cplextensor = ftensor.cast<std::complex<float> >(); for (int i = 0; i < 20; ++i) { for (int j = 0; j < 30; ++j) { VERIFY_IS_EQUAL(chartensor(i,j), static_cast<char>(ftensor(i,j))); VERIFY_IS_EQUAL(cplextensor(i,j), static_cast<std::complex<float> >(ftensor(i,j))); } } } static void test_vectorized_cast() { Tensor<int, 2> itensor(20,30); itensor = itensor.random() / 1000; Tensor<float, 2> ftensor(20,30); ftensor.setRandom(); Tensor<double, 2> dtensor(20,30); dtensor.setRandom(); ftensor = itensor.cast<float>(); dtensor = itensor.cast<double>(); for (int i = 0; i < 20; ++i) { for (int j = 0; j < 30; ++j) { VERIFY_IS_EQUAL(itensor(i,j), static_cast<int>(ftensor(i,j))); VERIFY_IS_EQUAL(dtensor(i,j), static_cast<double>(ftensor(i,j))); } } } static void test_float_to_int_cast() { Tensor<float, 2> ftensor(20,30); ftensor = ftensor.random() * 1000.0f; Tensor<double, 2> dtensor(20,30); dtensor = dtensor.random() * 1000.0; Tensor<int, 2> i1tensor = ftensor.cast<int>(); Tensor<int, 2> i2tensor = dtensor.cast<int>(); for (int i = 0; i < 20; ++i) { for (int j = 0; j < 30; ++j) { VERIFY_IS_EQUAL(i1tensor(i,j), static_cast<int>(ftensor(i,j))); VERIFY_IS_EQUAL(i2tensor(i,j), static_cast<int>(dtensor(i,j))); } } } static void test_big_to_small_type_cast() { Tensor<double, 2> dtensor(20, 30); dtensor.setRandom(); Tensor<float, 2> ftensor(20, 30); ftensor = dtensor.cast<float>(); for (int i = 0; i < 20; ++i) { for (int j = 0; j < 30; ++j) { VERIFY_IS_APPROX(dtensor(i,j), static_cast<double>(ftensor(i,j))); } } } static void test_small_to_big_type_cast() { Tensor<float, 2> ftensor(20, 30); ftensor.setRandom(); Tensor<double, 2> dtensor(20, 30); dtensor = ftensor.cast<double>(); for (int i = 0; i < 20; ++i) { for (int j = 0; j < 30; ++j) { VERIFY_IS_APPROX(dtensor(i,j), static_cast<double>(ftensor(i,j))); } } } void test_cxx11_tensor_casts() { CALL_SUBTEST(test_simple_cast()); CALL_SUBTEST(test_vectorized_cast()); CALL_SUBTEST(test_float_to_int_cast()); CALL_SUBTEST(test_big_to_small_type_cast()); CALL_SUBTEST(test_small_to_big_type_cast()); }