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author | Benoit Steiner <benoit.steiner.goog@gmail.com> | 2014-10-01 20:21:42 -0700 |
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committer | Benoit Steiner <benoit.steiner.goog@gmail.com> | 2014-10-01 20:21:42 -0700 |
commit | 1c236f4c9ae78cc58156eebe3b2bb43588897af4 (patch) | |
tree | 11711dc537f76e278bd989701c5b0f1f541d72aa /unsupported/test/cxx11_tensor_of_const_values.cpp | |
parent | 10a79ca3a396f040c2324a5078c7e666bc904bed (diff) |
Added tests for tensors of const values and tensors of stringswwq::
Diffstat (limited to 'unsupported/test/cxx11_tensor_of_const_values.cpp')
-rw-r--r-- | unsupported/test/cxx11_tensor_of_const_values.cpp | 105 |
1 files changed, 105 insertions, 0 deletions
diff --git a/unsupported/test/cxx11_tensor_of_const_values.cpp b/unsupported/test/cxx11_tensor_of_const_values.cpp new file mode 100644 index 000000000..f179a0c21 --- /dev/null +++ b/unsupported/test/cxx11_tensor_of_const_values.cpp @@ -0,0 +1,105 @@ +// 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::RowMajor; + +static void test_assign() +{ + float data1[6]; + TensorMap<Tensor<const float, 2>> mat1(data1, 2, 3); + float data2[6]; + const TensorMap<Tensor<float, 2>> mat2(data2, 2, 3); + + for (int i = 0; i < 6; ++i) { + data1[i] = i; + data2[i] = -i; + } + + Tensor<float, 2> rslt1; + rslt1 = mat1; + Tensor<float, 2> rslt2; + rslt2 = mat2; + + Tensor<float, 2> rslt3 = mat1; + Tensor<float, 2> rslt4 = mat2; + + Tensor<float, 2> rslt5(mat1); + Tensor<float, 2> rslt6(mat2); + + for (int i = 0; i < 2; ++i) { + for (int j = 0; j < 3; ++j) { + VERIFY_IS_APPROX(rslt1(i,j), static_cast<float>(i + 2*j)); + VERIFY_IS_APPROX(rslt2(i,j), static_cast<float>(-i - 2*j)); + VERIFY_IS_APPROX(rslt3(i,j), static_cast<float>(i + 2*j)); + VERIFY_IS_APPROX(rslt4(i,j), static_cast<float>(-i - 2*j)); + VERIFY_IS_APPROX(rslt5(i,j), static_cast<float>(i + 2*j)); + VERIFY_IS_APPROX(rslt6(i,j), static_cast<float>(-i - 2*j)); + } + } +} + + +static void test_plus() +{ + float data1[6]; + TensorMap<Tensor<const float, 2>> mat1(data1, 2, 3); + float data2[6]; + TensorMap<Tensor<float, 2>> mat2(data2, 2, 3); + + for (int i = 0; i < 6; ++i) { + data1[i] = i; + data2[i] = -i; + } + + Tensor<float, 2> sum1; + sum1 = mat1 + mat2; + Tensor<float, 2> sum2; + sum2 = mat2 + mat1; + + for (int i = 0; i < 2; ++i) { + for (int j = 0; j < 3; ++j) { + VERIFY_IS_APPROX(sum1(i,j), 0.0f); + VERIFY_IS_APPROX(sum2(i,j), 0.0f); + } + } +} + + +static void test_plus_equal() +{ + float data1[6]; + TensorMap<Tensor<const float, 2>> mat1(data1, 2, 3); + float data2[6]; + TensorMap<Tensor<float, 2>> mat2(data2, 2, 3); + + for (int i = 0; i < 6; ++i) { + data1[i] = i; + data2[i] = -i; + } + mat2 += mat1; + + for (int i = 0; i < 2; ++i) { + for (int j = 0; j < 3; ++j) { + VERIFY_IS_APPROX(mat2(i,j), 0.0f); + } + } +} + + +void test_cxx11_tensor_of_const_values() +{ + CALL_SUBTEST(test_assign()); + CALL_SUBTEST(test_plus()); + CALL_SUBTEST(test_plus_equal()); +} |