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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
137 lines
3.2 KiB
C++
137 lines
3.2 KiB
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) 2014 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 <sstream>
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#include <string>
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#include <Eigen/CXX11/Tensor>
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template<int DataLayout>
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static void test_output_0d()
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{
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Tensor<int, 0, DataLayout> tensor;
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tensor() = 123;
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std::stringstream os;
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os << tensor;
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std::string expected("123");
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VERIFY_IS_EQUAL(std::string(os.str()), expected);
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}
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template<int DataLayout>
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static void test_output_1d()
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{
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Tensor<int, 1, DataLayout> tensor(5);
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for (int i = 0; i < 5; ++i) {
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tensor(i) = i;
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}
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std::stringstream os;
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os << tensor;
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std::string expected("0\n1\n2\n3\n4");
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VERIFY_IS_EQUAL(std::string(os.str()), expected);
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Eigen::Tensor<double,1,DataLayout> empty_tensor(0);
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std::stringstream empty_os;
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empty_os << empty_tensor;
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std::string empty_string;
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VERIFY_IS_EQUAL(std::string(empty_os.str()), empty_string);
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}
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template<int DataLayout>
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static void test_output_2d()
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{
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Tensor<int, 2, DataLayout> tensor(5, 3);
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for (int i = 0; i < 5; ++i) {
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for (int j = 0; j < 3; ++j) {
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tensor(i, j) = i*j;
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}
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}
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std::stringstream os;
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os << tensor;
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std::string expected("0 0 0\n0 1 2\n0 2 4\n0 3 6\n0 4 8");
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VERIFY_IS_EQUAL(std::string(os.str()), expected);
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}
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template<int DataLayout>
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static void test_output_expr()
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{
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Tensor<int, 1, DataLayout> tensor1(5);
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Tensor<int, 1, DataLayout> tensor2(5);
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for (int i = 0; i < 5; ++i) {
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tensor1(i) = i;
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tensor2(i) = 7;
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}
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std::stringstream os;
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os << tensor1 + tensor2;
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std::string expected(" 7\n 8\n 9\n10\n11");
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VERIFY_IS_EQUAL(std::string(os.str()), expected);
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}
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template<int DataLayout>
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static void test_output_string()
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{
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Tensor<std::string, 2, DataLayout> tensor(5, 3);
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tensor.setConstant(std::string("foo"));
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std::cout << tensor << std::endl;
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std::stringstream os;
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os << tensor;
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std::string expected("foo foo foo\nfoo foo foo\nfoo foo foo\nfoo foo foo\nfoo foo foo");
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VERIFY_IS_EQUAL(std::string(os.str()), expected);
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}
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template<int DataLayout>
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static void test_output_const()
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{
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Tensor<int, 1, DataLayout> tensor(5);
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for (int i = 0; i < 5; ++i) {
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tensor(i) = i;
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}
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TensorMap<Tensor<const int, 1, DataLayout> > tensor_map(tensor.data(), 5);
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std::stringstream os;
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os << tensor_map;
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std::string expected("0\n1\n2\n3\n4");
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VERIFY_IS_EQUAL(std::string(os.str()), expected);
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}
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EIGEN_DECLARE_TEST(cxx11_tensor_io)
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{
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CALL_SUBTEST(test_output_0d<ColMajor>());
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CALL_SUBTEST(test_output_0d<RowMajor>());
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CALL_SUBTEST(test_output_1d<ColMajor>());
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CALL_SUBTEST(test_output_1d<RowMajor>());
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CALL_SUBTEST(test_output_2d<ColMajor>());
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CALL_SUBTEST(test_output_2d<RowMajor>());
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CALL_SUBTEST(test_output_expr<ColMajor>());
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CALL_SUBTEST(test_output_expr<RowMajor>());
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CALL_SUBTEST(test_output_string<ColMajor>());
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CALL_SUBTEST(test_output_string<RowMajor>());
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CALL_SUBTEST(test_output_const<ColMajor>());
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CALL_SUBTEST(test_output_const<RowMajor>());
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}
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