diff options
author | Stanislaw Halik <sthalik@misaki.pl> | 2017-03-25 14:17:07 +0100 |
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committer | Stanislaw Halik <sthalik@misaki.pl> | 2017-03-25 14:17:07 +0100 |
commit | 35f7829af10c61e33dd2e2a7a015058e11a11ea0 (patch) | |
tree | 7135010dcf8fd0a49f3020d52112709bcb883bd6 /eigen/unsupported/test/cxx11_tensor_casts.cpp | |
parent | 6e8724193e40a932faf9064b664b529e7301c578 (diff) |
update
Diffstat (limited to 'eigen/unsupported/test/cxx11_tensor_casts.cpp')
-rw-r--r-- | eigen/unsupported/test/cxx11_tensor_casts.cpp | 115 |
1 files changed, 115 insertions, 0 deletions
diff --git a/eigen/unsupported/test/cxx11_tensor_casts.cpp b/eigen/unsupported/test/cxx11_tensor_casts.cpp new file mode 100644 index 0000000..3c6d0d2 --- /dev/null +++ b/eigen/unsupported/test/cxx11_tensor_casts.cpp @@ -0,0 +1,115 @@ +// 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()); +} |