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authorStanislaw Halik <sthalik@misaki.pl>2019-03-03 21:09:10 +0100
committerStanislaw Halik <sthalik@misaki.pl>2019-03-03 21:10:13 +0100
commitf0238cfb6997c4acfc2bd200de7295f3fa36968f (patch)
treeb215183760e4f615b9c1dabc1f116383b72a1b55 /eigen/unsupported/test/cxx11_tensor_casts.cpp
parent543edd372a5193d04b3de9f23c176ab439e51b31 (diff)
don't index Eigen
Diffstat (limited to 'eigen/unsupported/test/cxx11_tensor_casts.cpp')
-rw-r--r--eigen/unsupported/test/cxx11_tensor_casts.cpp115
1 files changed, 0 insertions, 115 deletions
diff --git a/eigen/unsupported/test/cxx11_tensor_casts.cpp b/eigen/unsupported/test/cxx11_tensor_casts.cpp
deleted file mode 100644
index 3c6d0d2..0000000
--- a/eigen/unsupported/test/cxx11_tensor_casts.cpp
+++ /dev/null
@@ -1,115 +0,0 @@
-// 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());
-}