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FastDeploy/third_party/eigen/test/main.h
Jack Zhou 355382ad63 Move eigen to third party (#282) 
* remove useless statement

* Add eigen to third_party dir

* remove reducdant lines
2022-09-26 19:24:02 +08:00

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// 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 <cerrno>
#include <cstdlib>
#include <ctime>
#include <fstream>
#include <functional>
#include <iostream>
#include <sstream>
#include <string>
#include <typeinfo>
#include <vector>
// The following includes of STL headers have to be done _before_ the
// definition of macros min() and max(). The reason is that many STL
// implementations will not work properly as the min and max symbols collide
// with the STL functions std:min() and std::max(). The STL headers may check
// for the macro definition of min/max and issue a warning or undefine the
// macros.
//
// Still, Windows defines min() and max() in windef.h as part of the regular
// Windows system interfaces and many other Windows APIs depend on these
// macros being available. To prevent the macro expansion of min/max and to
// make Eigen compatible with the Windows environment all function calls of
// std::min() and std::max() have to be written with parenthesis around the
// function name.
//
// All STL headers used by Eigen should be included here. Because main.h is
// included before any Eigen header and because the STL headers are guarded
// against multiple inclusions, no STL header will see our own min/max macro
// definitions.
#include <algorithm>
#include <limits>
// Disable ICC's std::complex operator specializations so we can use our own.
#define _OVERRIDE_COMPLEX_SPECIALIZATION_ 1
#include <cassert>
#include <complex>
#include <deque>
#include <list>
#include <queue>
#if __cplusplus >= 201103L || (defined(_MSVC_LANG) && _MSVC_LANG >= 201103L)
#include <chrono>
#include <random>
#ifdef EIGEN_USE_THREADS
#include <future>
#endif
#endif
// Same for cuda_fp16.h
#if defined(__CUDACC__) && !defined(EIGEN_NO_CUDA)
// Means the compiler is either nvcc or clang with CUDA enabled
#define EIGEN_CUDACC __CUDACC__
#endif
#if defined(EIGEN_CUDACC)
#include <cuda.h>
#define EIGEN_CUDA_SDK_VER (CUDA_VERSION * 10)
#else
#define EIGEN_CUDA_SDK_VER 0
#endif
#if EIGEN_CUDA_SDK_VER >= 70500
#include <cuda_fp16.h>
#endif
// To test that all calls from Eigen code to std::min() and std::max() are
// protected by parenthesis against macro expansion, the min()/max() macros
// are defined here and any not-parenthesized min/max call will cause a
// compiler error.
#if !defined(__HIPCC__) && !defined(EIGEN_USE_SYCL)
//
// HIP header files include the following files
// <thread>
// <regex>
// <unordered_map>
// which seem to contain not-parenthesized calls to "max"/"min", triggering the
// following check and causing the compile to fail
//
// Including those header files before the following macro definition for "min"
// / "max", only partially resolves the issue
// This is because other HIP header files also define "isnan" / "isinf" /
// "isfinite" functions, which are needed in other
// headers.
//
// So instead choosing to simply disable this check for HIP
//
#define min(A, B) please_protect_your_min_with_parentheses
#define max(A, B) please_protect_your_max_with_parentheses
#define isnan(X) please_protect_your_isnan_with_parentheses
#define isinf(X) please_protect_your_isinf_with_parentheses
#define isfinite(X) please_protect_your_isfinite_with_parentheses
#endif
// test possible conflicts
struct real {};
struct imag {};
#ifdef M_PI
#undef M_PI
#endif
#define M_PI please_use_EIGEN_PI_instead_of_M_PI
#define FORBIDDEN_IDENTIFIER \
(this_identifier_is_forbidden_to_avoid_clashes) \
this_identifier_is_forbidden_to_avoid_clashes
// B0 is defined in POSIX header termios.h
#define B0 FORBIDDEN_IDENTIFIER
// `I` may be defined by complex.h:
#define I FORBIDDEN_IDENTIFIER
// Unit tests calling Eigen's blas library must preserve the default blocking
// size
// to avoid troubles.
#ifndef EIGEN_NO_DEBUG_SMALL_PRODUCT_BLOCKS
#define EIGEN_DEBUG_SMALL_PRODUCT_BLOCKS
#endif
// shuts down ICC's remark #593: variable "XXX" was set but never used
#define TEST_SET_BUT_UNUSED_VARIABLE(X) EIGEN_UNUSED_VARIABLE(X)
#ifdef TEST_ENABLE_TEMPORARY_TRACKING
static long int nb_temporaries;
static long int nb_temporaries_on_assert = -1;
inline void on_temporary_creation(long int size) {
// here's a great place to set a breakpoint when debugging failures in this
// test!
if (size != 0) nb_temporaries++;
if (nb_temporaries_on_assert > 0)
assert(nb_temporaries < nb_temporaries_on_assert);
}
#define EIGEN_DENSE_STORAGE_CTOR_PLUGIN \
{ on_temporary_creation(size); }
#define VERIFY_EVALUATION_COUNT(XPR, N) \
{ \
nb_temporaries = 0; \
XPR; \
if (nb_temporaries != (N)) { \
std::cerr << "nb_temporaries == " << nb_temporaries << "\n"; \
} \
VERIFY((#XPR) && nb_temporaries == (N)); \
}
#endif
#include "split_test_helper.h"
#ifdef NDEBUG
#undef NDEBUG
#endif
// On windows CE, NDEBUG is automatically defined <assert.h> if NDEBUG is not
// defined.
#ifndef DEBUG
#define DEBUG
#endif
// bounds integer values for AltiVec
#if defined(__ALTIVEC__) || defined(__VSX__)
#define EIGEN_MAKING_DOCS
#endif
#define DEFAULT_REPEAT 10
namespace Eigen {
static std::vector<std::string> g_test_stack;
// level == 0 <=> abort if test fail
// level >= 1 <=> warning message to std::cerr if test fail
static int g_test_level = 0;
static int g_repeat = 1;
static unsigned int g_seed = 0;
static bool g_has_set_repeat = false, g_has_set_seed = false;
class EigenTest {
public:
EigenTest() : m_func(0) {}
EigenTest(const char* a_name, void (*func)(void))
: m_name(a_name), m_func(func) {
ms_registered_tests.push_back(this);
}
const std::string& name() const { return m_name; }
void operator()() const { m_func(); }
static const std::vector<EigenTest*>& all() { return ms_registered_tests; }
protected:
std::string m_name;
void (*m_func)(void);
static std::vector<EigenTest*> ms_registered_tests;
};
std::vector<EigenTest*> EigenTest::ms_registered_tests;
// Declare and register a test, e.g.:
// EIGEN_DECLARE_TEST(mytest) { ... }
// will create a function:
// void test_mytest() { ... }
// that will be automatically called.
#define EIGEN_DECLARE_TEST(X) \
void EIGEN_CAT(test_, X)(); \
static EigenTest EIGEN_CAT(test_handler_, X)(EIGEN_MAKESTRING(X), \
&EIGEN_CAT(test_, X)); \
void EIGEN_CAT(test_, X)()
}
#define TRACK std::cerr << __FILE__ << " " << __LINE__ << std::endl
// #define TRACK while()
#define EIGEN_DEFAULT_IO_FORMAT IOFormat(4, 0, " ", "\n", "", "", "", "")
#if (defined(_CPPUNWIND) || defined(__EXCEPTIONS)) && \
!defined(__CUDA_ARCH__) && !defined(__HIP_DEVICE_COMPILE__) && \
!defined(__SYCL_DEVICE_ONLY__)
#define EIGEN_EXCEPTIONS
#endif
#ifndef EIGEN_NO_ASSERTION_CHECKING
namespace Eigen {
static const bool should_raise_an_assert = false;
// Used to avoid to raise two exceptions at a time in which
// case the exception is not properly caught.
// This may happen when a second exceptions is triggered in a destructor.
static bool no_more_assert = false;
static bool report_on_cerr_on_assert_failure = true;
struct eigen_assert_exception {
eigen_assert_exception(void) {}
~eigen_assert_exception() { Eigen::no_more_assert = false; }
};
struct eigen_static_assert_exception {
eigen_static_assert_exception(void) {}
~eigen_static_assert_exception() { Eigen::no_more_assert = false; }
};
}
// If EIGEN_DEBUG_ASSERTS is defined and if no assertion is triggered while
// one should have been, then the list of executed assertions is printed out.
//
// EIGEN_DEBUG_ASSERTS is not enabled by default as it
// significantly increases the compilation time
// and might even introduce side effects that would hide
// some memory errors.
#ifdef EIGEN_DEBUG_ASSERTS
namespace Eigen {
namespace internal {
static bool push_assert = false;
}
static std::vector<std::string> eigen_assert_list;
}
#define eigen_assert(a) \
if ((!(a)) && (!no_more_assert)) { \
if (report_on_cerr_on_assert_failure) \
std::cerr << #a << " " __FILE__ << "(" << __LINE__ << ")\n"; \
Eigen::no_more_assert = true; \
EIGEN_THROW_X(Eigen::eigen_assert_exception()); \
} else if (Eigen::internal::push_assert) { \
eigen_assert_list.push_back(std::string(EIGEN_MAKESTRING( \
__FILE__) " (" EIGEN_MAKESTRING(__LINE__) ") : " #a)); \
}
#ifdef EIGEN_EXCEPTIONS
#define VERIFY_RAISES_ASSERT(a) \
{ \
Eigen::no_more_assert = false; \
Eigen::eigen_assert_list.clear(); \
Eigen::internal::push_assert = true; \
Eigen::report_on_cerr_on_assert_failure = false; \
try { \
a; \
std::cerr \
<< "One of the following asserts should have been triggered:\n"; \
for (uint ai = 0; ai < eigen_assert_list.size(); ++ai) \
std::cerr << " " << eigen_assert_list[ai] << "\n"; \
VERIFY(Eigen::should_raise_an_assert&& #a); \
} catch (Eigen::eigen_assert_exception) { \
Eigen::internal::push_assert = false; \
VERIFY(true); \
} \
Eigen::report_on_cerr_on_assert_failure = true; \
Eigen::internal::push_assert = false; \
}
#endif // EIGEN_EXCEPTIONS
#elif !defined(__CUDACC__) && !defined(__HIPCC__) && \
!defined(SYCL_DEVICE_ONLY) // EIGEN_DEBUG_ASSERTS
// see bug 89. The copy_bool here is working around a bug in gcc <= 4.3
#define eigen_assert(a) \
if ((!Eigen::internal::copy_bool(a)) && (!no_more_assert)) { \
Eigen::no_more_assert = true; \
if (report_on_cerr_on_assert_failure) \
eigen_plain_assert(a); \
else \
EIGEN_THROW_X(Eigen::eigen_assert_exception()); \
}
#ifdef EIGEN_EXCEPTIONS
#define VERIFY_RAISES_ASSERT(a) \
{ \
Eigen::no_more_assert = false; \
Eigen::report_on_cerr_on_assert_failure = false; \
try { \
a; \
VERIFY(Eigen::should_raise_an_assert&& #a); \
} catch (Eigen::eigen_assert_exception&) { \
VERIFY(true); \
} \
Eigen::report_on_cerr_on_assert_failure = true; \
}
#endif // EIGEN_EXCEPTIONS
#endif // EIGEN_DEBUG_ASSERTS
#if defined(TEST_CHECK_STATIC_ASSERTIONS) && defined(EIGEN_EXCEPTIONS)
#define EIGEN_STATIC_ASSERT(a, MSG) \
if ((!Eigen::internal::copy_bool(a)) && (!no_more_assert)) { \
Eigen::no_more_assert = true; \
if (report_on_cerr_on_assert_failure) \
eigen_plain_assert((a) && #MSG); \
else \
EIGEN_THROW_X(Eigen::eigen_static_assert_exception()); \
}
#define VERIFY_RAISES_STATIC_ASSERT(a) \
{ \
Eigen::no_more_assert = false; \
Eigen::report_on_cerr_on_assert_failure = false; \
try { \
a; \
VERIFY(Eigen::should_raise_an_assert&& #a); \
} catch (Eigen::eigen_static_assert_exception&) { \
VERIFY(true); \
} \
Eigen::report_on_cerr_on_assert_failure = true; \
}
#endif // TEST_CHECK_STATIC_ASSERTIONS
#ifndef VERIFY_RAISES_ASSERT
#define VERIFY_RAISES_ASSERT(a) \
std::cout << "Can't VERIFY_RAISES_ASSERT( " #a \
" ) with exceptions disabled\n";
#endif
#ifndef VERIFY_RAISES_STATIC_ASSERT
#define VERIFY_RAISES_STATIC_ASSERT(a) \
std::cout << "Can't VERIFY_RAISES_STATIC_ASSERT( " #a \
" ) with exceptions disabled\n";
#endif
#if !defined(__CUDACC__) && !defined(__HIPCC__) && !defined(SYCL_DEVICE_ONLY)
#define EIGEN_USE_CUSTOM_ASSERT
#endif
#else // EIGEN_NO_ASSERTION_CHECKING
#define VERIFY_RAISES_ASSERT(a) \
{}
#define VERIFY_RAISES_STATIC_ASSERT(a) \
{}
#endif // EIGEN_NO_ASSERTION_CHECKING
#define EIGEN_INTERNAL_DEBUGGING
#include <Eigen/QR> // required for createRandomPIMatrixOfRank
inline void verify_impl(bool condition, const char* testname, const char* file,
int line, const char* condition_as_string) {
if (!condition) {
if (Eigen::g_test_level > 0) std::cerr << "WARNING: ";
std::cerr << "Test " << testname << " failed in " << file << " (" << line
<< ")" << std::endl
<< " " << condition_as_string << std::endl;
std::cerr << "Stack:\n";
const int test_stack_size = static_cast<int>(Eigen::g_test_stack.size());
for (int i = test_stack_size - 1; i >= 0; --i)
std::cerr << " - " << Eigen::g_test_stack[i] << "\n";
std::cerr << "\n";
if (Eigen::g_test_level == 0) abort();
}
}
#define VERIFY(a) \
::verify_impl(a, g_test_stack.back().c_str(), __FILE__, __LINE__, \
EIGEN_MAKESTRING(a))
#define VERIFY_GE(a, b) \
::verify_impl(a >= b, g_test_stack.back().c_str(), __FILE__, __LINE__, \
EIGEN_MAKESTRING(a >= b))
#define VERIFY_LE(a, b) \
::verify_impl(a <= b, g_test_stack.back().c_str(), __FILE__, __LINE__, \
EIGEN_MAKESTRING(a <= b))
#define VERIFY_IS_EQUAL(a, b) VERIFY(test_is_equal(a, b, true))
#define VERIFY_IS_NOT_EQUAL(a, b) VERIFY(test_is_equal(a, b, false))
#define VERIFY_IS_APPROX(a, b) VERIFY(verifyIsApprox(a, b))
#define VERIFY_IS_NOT_APPROX(a, b) VERIFY(!test_isApprox(a, b))
#define VERIFY_IS_MUCH_SMALLER_THAN(a, b) VERIFY(test_isMuchSmallerThan(a, b))
#define VERIFY_IS_NOT_MUCH_SMALLER_THAN(a, b) \
VERIFY(!test_isMuchSmallerThan(a, b))
#define VERIFY_IS_APPROX_OR_LESS_THAN(a, b) \
VERIFY(test_isApproxOrLessThan(a, b))
#define VERIFY_IS_NOT_APPROX_OR_LESS_THAN(a, b) \
VERIFY(!test_isApproxOrLessThan(a, b))
#define VERIFY_IS_UNITARY(a) VERIFY(test_isUnitary(a))
#define STATIC_CHECK(COND) \
EIGEN_STATIC_ASSERT((COND), EIGEN_INTERNAL_ERROR_PLEASE_FILE_A_BUG_REPORT)
#define CALL_SUBTEST(FUNC) \
do { \
g_test_stack.push_back(EIGEN_MAKESTRING(FUNC)); \
FUNC; \
g_test_stack.pop_back(); \
} while (0)
namespace Eigen {
template <typename T1, typename T2>
typename internal::enable_if<internal::is_same<T1, T2>::value, bool>::type
is_same_type(const T1&, const T2&) {
return true;
}
template <typename T>
inline typename NumTraits<T>::Real test_precision() {
return NumTraits<T>::dummy_precision();
}
template <>
inline float test_precision<float>() {
return 1e-3f;
}
template <>
inline double test_precision<double>() {
return 1e-6;
}
template <>
inline long double test_precision<long double>() {
return 1e-6l;
}
template <>
inline float test_precision<std::complex<float> >() {
return test_precision<float>();
}
template <>
inline double test_precision<std::complex<double> >() {
return test_precision<double>();
}
template <>
inline long double test_precision<std::complex<long double> >() {
return test_precision<long double>();
}
#define EIGEN_TEST_SCALAR_TEST_OVERLOAD(TYPE) \
inline bool test_isApprox(TYPE a, TYPE b) { \
return internal::isApprox(a, b, test_precision<TYPE>()); \
} \
inline bool test_isMuchSmallerThan(TYPE a, TYPE b) { \
return internal::isMuchSmallerThan(a, b, test_precision<TYPE>()); \
} \
inline bool test_isApproxOrLessThan(TYPE a, TYPE b) { \
return internal::isApproxOrLessThan(a, b, test_precision<TYPE>()); \
}
EIGEN_TEST_SCALAR_TEST_OVERLOAD(short)
EIGEN_TEST_SCALAR_TEST_OVERLOAD(unsigned short)
EIGEN_TEST_SCALAR_TEST_OVERLOAD(int)
EIGEN_TEST_SCALAR_TEST_OVERLOAD(unsigned int)
EIGEN_TEST_SCALAR_TEST_OVERLOAD(long)
EIGEN_TEST_SCALAR_TEST_OVERLOAD(unsigned long)
#if EIGEN_HAS_CXX11
EIGEN_TEST_SCALAR_TEST_OVERLOAD(long long)
EIGEN_TEST_SCALAR_TEST_OVERLOAD(unsigned long long)
#endif
EIGEN_TEST_SCALAR_TEST_OVERLOAD(float)
EIGEN_TEST_SCALAR_TEST_OVERLOAD(double)
EIGEN_TEST_SCALAR_TEST_OVERLOAD(half)
EIGEN_TEST_SCALAR_TEST_OVERLOAD(bfloat16)
#undef EIGEN_TEST_SCALAR_TEST_OVERLOAD
#ifndef EIGEN_TEST_NO_COMPLEX
inline bool test_isApprox(const std::complex<float>& a,
const std::complex<float>& b) {
return internal::isApprox(a, b, test_precision<std::complex<float> >());
}
inline bool test_isMuchSmallerThan(const std::complex<float>& a,
const std::complex<float>& b) {
return internal::isMuchSmallerThan(a, b,
test_precision<std::complex<float> >());
}
inline bool test_isApprox(const std::complex<double>& a,
const std::complex<double>& b) {
return internal::isApprox(a, b, test_precision<std::complex<double> >());
}
inline bool test_isMuchSmallerThan(const std::complex<double>& a,
const std::complex<double>& b) {
return internal::isMuchSmallerThan(a, b,
test_precision<std::complex<double> >());
}
#ifndef EIGEN_TEST_NO_LONGDOUBLE
inline bool test_isApprox(const std::complex<long double>& a,
const std::complex<long double>& b) {
return internal::isApprox(a, b, test_precision<std::complex<long double> >());
}
inline bool test_isMuchSmallerThan(const std::complex<long double>& a,
const std::complex<long double>& b) {
return internal::isMuchSmallerThan(
a, b, test_precision<std::complex<long double> >());
}
#endif
#endif
#ifndef EIGEN_TEST_NO_LONGDOUBLE
inline bool test_isApprox(const long double& a, const long double& b) {
bool ret = internal::isApprox(a, b, test_precision<long double>());
if (!ret)
std::cerr << std::endl
<< " actual = " << a << std::endl
<< " expected = " << b << std::endl
<< std::endl;
return ret;
}
inline bool test_isMuchSmallerThan(const long double& a, const long double& b) {
return internal::isMuchSmallerThan(a, b, test_precision<long double>());
}
inline bool test_isApproxOrLessThan(const long double& a,
const long double& b) {
return internal::isApproxOrLessThan(a, b, test_precision<long double>());
}
#endif // EIGEN_TEST_NO_LONGDOUBLE
// test_relative_error returns the relative difference between a and b as a real
// scalar as used in isApprox.
template <typename T1, typename T2>
typename NumTraits<typename T1::RealScalar>::NonInteger test_relative_error(
const EigenBase<T1>& a, const EigenBase<T2>& b) {
using std::sqrt;
typedef typename NumTraits<typename T1::RealScalar>::NonInteger RealScalar;
typename internal::nested_eval<T1, 2>::type ea(a.derived());
typename internal::nested_eval<T2, 2>::type eb(b.derived());
return sqrt(
RealScalar((ea - eb).cwiseAbs2().sum()) /
RealScalar((std::min)(eb.cwiseAbs2().sum(), ea.cwiseAbs2().sum())));
}
template <typename T1, typename T2>
typename T1::RealScalar test_relative_error(
const T1& a, const T2& b, const typename T1::Coefficients* = 0) {
return test_relative_error(a.coeffs(), b.coeffs());
}
template <typename T1, typename T2>
typename T1::Scalar test_relative_error(const T1& a, const T2& b,
const typename T1::MatrixType* = 0) {
return test_relative_error(a.matrix(), b.matrix());
}
template <typename S, int D>
S test_relative_error(const Translation<S, D>& a, const Translation<S, D>& b) {
return test_relative_error(a.vector(), b.vector());
}
template <typename S, int D, int O>
S test_relative_error(const ParametrizedLine<S, D, O>& a,
const ParametrizedLine<S, D, O>& b) {
return (std::max)(test_relative_error(a.origin(), b.origin()),
test_relative_error(a.origin(), b.origin()));
}
template <typename S, int D>
S test_relative_error(const AlignedBox<S, D>& a, const AlignedBox<S, D>& b) {
return (std::max)(test_relative_error((a.min)(), (b.min)()),
test_relative_error((a.max)(), (b.max)()));
}
template <typename Derived>
class SparseMatrixBase;
template <typename T1, typename T2>
typename T1::RealScalar test_relative_error(const MatrixBase<T1>& a,
const SparseMatrixBase<T2>& b) {
return test_relative_error(a, b.toDense());
}
template <typename Derived>
class SparseMatrixBase;
template <typename T1, typename T2>
typename T1::RealScalar test_relative_error(const SparseMatrixBase<T1>& a,
const MatrixBase<T2>& b) {
return test_relative_error(a.toDense(), b);
}
template <typename Derived>
class SparseMatrixBase;
template <typename T1, typename T2>
typename T1::RealScalar test_relative_error(const SparseMatrixBase<T1>& a,
const SparseMatrixBase<T2>& b) {
return test_relative_error(a.toDense(), b.toDense());
}
template <typename T1, typename T2>
typename NumTraits<typename NumTraits<T1>::Real>::NonInteger
test_relative_error(
const T1& a, const T2& b,
typename internal::enable_if<
internal::is_arithmetic<typename NumTraits<T1>::Real>::value,
T1>::type* = 0) {
typedef
typename NumTraits<typename NumTraits<T1>::Real>::NonInteger RealScalar;
return numext::sqrt(
RealScalar(numext::abs2(a - b)) /
(numext::mini)(RealScalar(numext::abs2(a)), RealScalar(numext::abs2(b))));
}
template <typename T>
T test_relative_error(const Rotation2D<T>& a, const Rotation2D<T>& b) {
return test_relative_error(a.angle(), b.angle());
}
template <typename T>
T test_relative_error(const AngleAxis<T>& a, const AngleAxis<T>& b) {
return (std::max)(test_relative_error(a.angle(), b.angle()),
test_relative_error(a.axis(), b.axis()));
}
template <typename Type1, typename Type2>
inline bool test_isApprox(
const Type1& a, const Type2& b,
typename Type1::Scalar* = 0) // Enabled for Eigen's type only
{
return a.isApprox(b, test_precision<typename Type1::Scalar>());
}
// get_test_precision is a small wrapper to test_precision allowing to return
// the scalar precision for either scalars or expressions
template <typename T>
typename NumTraits<typename T::Scalar>::Real get_test_precision(
const T&, const typename T::Scalar* = 0) {
return test_precision<typename NumTraits<typename T::Scalar>::Real>();
}
template <typename T>
typename NumTraits<T>::Real get_test_precision(
const T&,
typename internal::enable_if<
internal::is_arithmetic<typename NumTraits<T>::Real>::value, T>::type* =
0) {
return test_precision<typename NumTraits<T>::Real>();
}
// verifyIsApprox is a wrapper to test_isApprox that outputs the relative
// difference magnitude if the test fails.
template <typename Type1, typename Type2>
inline bool verifyIsApprox(const Type1& a, const Type2& b) {
bool ret = test_isApprox(a, b);
if (!ret) {
std::cerr << "Difference too large wrt tolerance " << get_test_precision(a)
<< ", relative error is: " << test_relative_error(a, b)
<< std::endl;
}
return ret;
}
// The idea behind this function is to compare the two scalars a and b where
// the scalar ref is a hint about the expected order of magnitude of a and b.
// WARNING: the scalar a and b must be positive
// Therefore, if for some reason a and b are very small compared to ref,
// we won't issue a false negative.
// This test could be: abs(a-b) <= eps * ref
// However, it seems that simply comparing a+ref and b+ref is more sensitive to
// true error.
template <typename Scalar, typename ScalarRef>
inline bool test_isApproxWithRef(const Scalar& a, const Scalar& b,
const ScalarRef& ref) {
return test_isApprox(a + ref, b + ref);
}
template <typename Derived1, typename Derived2>
inline bool test_isMuchSmallerThan(const MatrixBase<Derived1>& m1,
const MatrixBase<Derived2>& m2) {
return m1.isMuchSmallerThan(
m2, test_precision<typename internal::traits<Derived1>::Scalar>());
}
template <typename Derived>
inline bool test_isMuchSmallerThan(
const MatrixBase<Derived>& m,
const typename NumTraits<typename internal::traits<Derived>::Scalar>::Real&
s) {
return m.isMuchSmallerThan(
s, test_precision<typename internal::traits<Derived>::Scalar>());
}
template <typename Derived>
inline bool test_isUnitary(const MatrixBase<Derived>& m) {
return m.isUnitary(
test_precision<typename internal::traits<Derived>::Scalar>());
}
// Forward declaration to avoid ICC warning
template <typename T, typename U>
bool test_is_equal(const T& actual, const U& expected,
bool expect_equal = true);
template <typename T, typename U>
bool test_is_equal(const T& actual, const U& expected, bool expect_equal) {
if ((actual == expected) == expect_equal) return true;
// false:
std::cerr << "\n actual = " << actual << "\n expected "
<< (expect_equal ? "= " : "!=") << expected << "\n\n";
return false;
}
/** Creates a random Partial Isometry matrix of given rank.
*
* A partial isometry is a matrix all of whose singular values are either 0 or
* 1.
* This is very useful to test rank-revealing algorithms.
*/
// Forward declaration to avoid ICC warning
template <typename MatrixType>
void createRandomPIMatrixOfRank(Index desired_rank, Index rows, Index cols,
MatrixType& m);
template <typename MatrixType>
void createRandomPIMatrixOfRank(Index desired_rank, Index rows, Index cols,
MatrixType& m) {
typedef typename internal::traits<MatrixType>::Scalar Scalar;
enum {
Rows = MatrixType::RowsAtCompileTime,
Cols = MatrixType::ColsAtCompileTime
};
typedef Matrix<Scalar, Dynamic, 1> VectorType;
typedef Matrix<Scalar, Rows, Rows> MatrixAType;
typedef Matrix<Scalar, Cols, Cols> MatrixBType;
if (desired_rank == 0) {
m.setZero(rows, cols);
return;
}
if (desired_rank == 1) {
// here we normalize the vectors to get a partial isometry
m = VectorType::Random(rows).normalized() *
VectorType::Random(cols).normalized().transpose();
return;
}
MatrixAType a = MatrixAType::Random(rows, rows);
MatrixType d = MatrixType::Identity(rows, cols);
MatrixBType b = MatrixBType::Random(cols, cols);
// set the diagonal such that only desired_rank non-zero entries reamain
const Index diag_size = (std::min)(d.rows(), d.cols());
if (diag_size != desired_rank)
d.diagonal().segment(desired_rank, diag_size - desired_rank) =
VectorType::Zero(diag_size - desired_rank);
HouseholderQR<MatrixAType> qra(a);
HouseholderQR<MatrixBType> qrb(b);
m = qra.householderQ() * d * qrb.householderQ();
}
// Forward declaration to avoid ICC warning
template <typename PermutationVectorType>
void randomPermutationVector(PermutationVectorType& v, Index size);
template <typename PermutationVectorType>
void randomPermutationVector(PermutationVectorType& v, Index size) {
typedef typename PermutationVectorType::Scalar Scalar;
v.resize(size);
for (Index i = 0; i < size; ++i) v(i) = Scalar(i);
if (size == 1) return;
for (Index n = 0; n < 3 * size; ++n) {
Index i = internal::random<Index>(0, size - 1);
Index j;
do
j = internal::random<Index>(0, size - 1);
while (j == i);
std::swap(v(i), v(j));
}
}
template <typename T>
bool isNotNaN(const T& x) {
return x == x;
}
template <typename T>
bool isPlusInf(const T& x) {
return x > NumTraits<T>::highest();
}
template <typename T>
bool isMinusInf(const T& x) {
return x < NumTraits<T>::lowest();
}
} // end namespace Eigen
template <typename T>
struct GetDifferentType;
template <>
struct GetDifferentType<float> {
typedef double type;
};
template <>
struct GetDifferentType<double> {
typedef float type;
};
template <typename T>
struct GetDifferentType<std::complex<T> > {
typedef std::complex<typename GetDifferentType<T>::type> type;
};
// Forward declaration to avoid ICC warning
template <typename T>
std::string type_name();
template <typename T>
std::string type_name() {
return "other";
}
template <>
std::string type_name<float>() {
return "float";
}
template <>
std::string type_name<double>() {
return "double";
}
template <>
std::string type_name<long double>() {
return "long double";
}
template <>
std::string type_name<int>() {
return "int";
}
template <>
std::string type_name<std::complex<float> >() {
return "complex<float>";
}
template <>
std::string type_name<std::complex<double> >() {
return "complex<double>";
}
template <>
std::string type_name<std::complex<long double> >() {
return "complex<long double>";
}
template <>
std::string type_name<std::complex<int> >() {
return "complex<int>";
}
using namespace Eigen;
inline void set_repeat_from_string(const char* str) {
errno = 0;
g_repeat = int(strtoul(str, 0, 10));
if (errno || g_repeat <= 0) {
std::cout << "Invalid repeat value " << str << std::endl;
exit(EXIT_FAILURE);
}
g_has_set_repeat = true;
}
inline void set_seed_from_string(const char* str) {
errno = 0;
g_seed = int(strtoul(str, 0, 10));
if (errno || g_seed == 0) {
std::cout << "Invalid seed value " << str << std::endl;
exit(EXIT_FAILURE);
}
g_has_set_seed = true;
}
int main(int argc, char* argv[]) {
g_has_set_repeat = false;
g_has_set_seed = false;
bool need_help = false;
for (int i = 1; i < argc; i++) {
if (argv[i][0] == 'r') {
if (g_has_set_repeat) {
std::cout << "Argument " << argv[i]
<< " conflicting with a former argument" << std::endl;
return 1;
}
set_repeat_from_string(argv[i] + 1);
} else if (argv[i][0] == 's') {
if (g_has_set_seed) {
std::cout << "Argument " << argv[i]
<< " conflicting with a former argument" << std::endl;
return 1;
}
set_seed_from_string(argv[i] + 1);
} else {
need_help = true;
}
}
if (need_help) {
std::cout << "This test application takes the following optional arguments:"
<< std::endl;
std::cout << " rN Repeat each test N times (default: "
<< DEFAULT_REPEAT << ")" << std::endl;
std::cout << " sN Use N as seed for random numbers (default: based on "
"current time)"
<< std::endl;
std::cout << std::endl;
std::cout
<< "If defined, the environment variables EIGEN_REPEAT and EIGEN_SEED"
<< std::endl;
std::cout << "will be used as default values for these parameters."
<< std::endl;
return 1;
}
char* env_EIGEN_REPEAT = getenv("EIGEN_REPEAT");
if (!g_has_set_repeat && env_EIGEN_REPEAT)
set_repeat_from_string(env_EIGEN_REPEAT);
char* env_EIGEN_SEED = getenv("EIGEN_SEED");
if (!g_has_set_seed && env_EIGEN_SEED) set_seed_from_string(env_EIGEN_SEED);
if (!g_has_set_seed) g_seed = (unsigned int)time(NULL);
if (!g_has_set_repeat) g_repeat = DEFAULT_REPEAT;
std::cout << "Initializing random number generator with seed " << g_seed
<< std::endl;
std::stringstream ss;
ss << "Seed: " << g_seed;
g_test_stack.push_back(ss.str());
srand(g_seed);
std::cout << "Repeating each test " << g_repeat << " times" << std::endl;
VERIFY(EigenTest::all().size() > 0);
for (std::size_t i = 0; i < EigenTest::all().size(); ++i) {
const EigenTest& current_test = *EigenTest::all()[i];
Eigen::g_test_stack.push_back(current_test.name());
current_test();
Eigen::g_test_stack.pop_back();
}
return 0;
}
// These warning are disabled here such that they are still ON when parsing
// Eigen's header files.
#if defined __INTEL_COMPILER
// remark #383: value copied to temporary, reference to temporary used
// -> this warning is raised even for legal usage as:
// g_test_stack.push_back("foo"); where g_test_stack is a
// std::vector<std::string>
// remark #1418: external function definition with no prior declaration
// -> this warning is raised for all our test functions. Declaring them static
// would fix the issue.
// warning #279: controlling expression is constant
// remark #1572: floating-point equality and inequality comparisons are
// unreliable
#pragma warning disable 279 383 1418 1572
#endif
#ifdef _MSC_VER
// 4503 - decorated name length exceeded, name was truncated
#pragma warning(disable : 4503)
#endif
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