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diff --git a/runtimes/nn/depend/external/eigen/Eigen/src/Core/Fuzzy.h b/runtimes/nn/depend/external/eigen/Eigen/src/Core/Fuzzy.h
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index 3e403a09d..000000000
--- a/runtimes/nn/depend/external/eigen/Eigen/src/Core/Fuzzy.h
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@@ -1,155 +0,0 @@
-// 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/.
-
-#ifndef EIGEN_FUZZY_H
-#define EIGEN_FUZZY_H
-
-namespace Eigen {
-
-namespace internal
-{
-
-template<typename Derived, typename OtherDerived, bool is_integer = NumTraits<typename Derived::Scalar>::IsInteger>
-struct isApprox_selector
-{
- EIGEN_DEVICE_FUNC
- static bool run(const Derived& x, const OtherDerived& y, const typename Derived::RealScalar& prec)
- {
- typename internal::nested_eval<Derived,2>::type nested(x);
- typename internal::nested_eval<OtherDerived,2>::type otherNested(y);
- return (nested - otherNested).cwiseAbs2().sum() <= prec * prec * numext::mini(nested.cwiseAbs2().sum(), otherNested.cwiseAbs2().sum());
- }
-};
-
-template<typename Derived, typename OtherDerived>
-struct isApprox_selector<Derived, OtherDerived, true>
-{
- EIGEN_DEVICE_FUNC
- static bool run(const Derived& x, const OtherDerived& y, const typename Derived::RealScalar&)
- {
- return x.matrix() == y.matrix();
- }
-};
-
-template<typename Derived, typename OtherDerived, bool is_integer = NumTraits<typename Derived::Scalar>::IsInteger>
-struct isMuchSmallerThan_object_selector
-{
- EIGEN_DEVICE_FUNC
- static bool run(const Derived& x, const OtherDerived& y, const typename Derived::RealScalar& prec)
- {
- return x.cwiseAbs2().sum() <= numext::abs2(prec) * y.cwiseAbs2().sum();
- }
-};
-
-template<typename Derived, typename OtherDerived>
-struct isMuchSmallerThan_object_selector<Derived, OtherDerived, true>
-{
- EIGEN_DEVICE_FUNC
- static bool run(const Derived& x, const OtherDerived&, const typename Derived::RealScalar&)
- {
- return x.matrix() == Derived::Zero(x.rows(), x.cols()).matrix();
- }
-};
-
-template<typename Derived, bool is_integer = NumTraits<typename Derived::Scalar>::IsInteger>
-struct isMuchSmallerThan_scalar_selector
-{
- EIGEN_DEVICE_FUNC
- static bool run(const Derived& x, const typename Derived::RealScalar& y, const typename Derived::RealScalar& prec)
- {
- return x.cwiseAbs2().sum() <= numext::abs2(prec * y);
- }
-};
-
-template<typename Derived>
-struct isMuchSmallerThan_scalar_selector<Derived, true>
-{
- EIGEN_DEVICE_FUNC
- static bool run(const Derived& x, const typename Derived::RealScalar&, const typename Derived::RealScalar&)
- {
- return x.matrix() == Derived::Zero(x.rows(), x.cols()).matrix();
- }
-};
-
-} // end namespace internal
-
-
-/** \returns \c true if \c *this is approximately equal to \a other, within the precision
- * determined by \a prec.
- *
- * \note The fuzzy compares are done multiplicatively. Two vectors \f$ v \f$ and \f$ w \f$
- * are considered to be approximately equal within precision \f$ p \f$ if
- * \f[ \Vert v - w \Vert \leqslant p\,\min(\Vert v\Vert, \Vert w\Vert). \f]
- * For matrices, the comparison is done using the Hilbert-Schmidt norm (aka Frobenius norm
- * L2 norm).
- *
- * \note Because of the multiplicativeness of this comparison, one can't use this function
- * to check whether \c *this is approximately equal to the zero matrix or vector.
- * Indeed, \c isApprox(zero) returns false unless \c *this itself is exactly the zero matrix
- * or vector. If you want to test whether \c *this is zero, use internal::isMuchSmallerThan(const
- * RealScalar&, RealScalar) instead.
- *
- * \sa internal::isMuchSmallerThan(const RealScalar&, RealScalar) const
- */
-template<typename Derived>
-template<typename OtherDerived>
-bool DenseBase<Derived>::isApprox(
- const DenseBase<OtherDerived>& other,
- const RealScalar& prec
-) const
-{
- return internal::isApprox_selector<Derived, OtherDerived>::run(derived(), other.derived(), prec);
-}
-
-/** \returns \c true if the norm of \c *this is much smaller than \a other,
- * within the precision determined by \a prec.
- *
- * \note The fuzzy compares are done multiplicatively. A vector \f$ v \f$ is
- * considered to be much smaller than \f$ x \f$ within precision \f$ p \f$ if
- * \f[ \Vert v \Vert \leqslant p\,\vert x\vert. \f]
- *
- * For matrices, the comparison is done using the Hilbert-Schmidt norm. For this reason,
- * the value of the reference scalar \a other should come from the Hilbert-Schmidt norm
- * of a reference matrix of same dimensions.
- *
- * \sa isApprox(), isMuchSmallerThan(const DenseBase<OtherDerived>&, RealScalar) const
- */
-template<typename Derived>
-bool DenseBase<Derived>::isMuchSmallerThan(
- const typename NumTraits<Scalar>::Real& other,
- const RealScalar& prec
-) const
-{
- return internal::isMuchSmallerThan_scalar_selector<Derived>::run(derived(), other, prec);
-}
-
-/** \returns \c true if the norm of \c *this is much smaller than the norm of \a other,
- * within the precision determined by \a prec.
- *
- * \note The fuzzy compares are done multiplicatively. A vector \f$ v \f$ is
- * considered to be much smaller than a vector \f$ w \f$ within precision \f$ p \f$ if
- * \f[ \Vert v \Vert \leqslant p\,\Vert w\Vert. \f]
- * For matrices, the comparison is done using the Hilbert-Schmidt norm.
- *
- * \sa isApprox(), isMuchSmallerThan(const RealScalar&, RealScalar) const
- */
-template<typename Derived>
-template<typename OtherDerived>
-bool DenseBase<Derived>::isMuchSmallerThan(
- const DenseBase<OtherDerived>& other,
- const RealScalar& prec
-) const
-{
- return internal::isMuchSmallerThan_object_selector<Derived, OtherDerived>::run(derived(), other.derived(), prec);
-}
-
-} // end namespace Eigen
-
-#endif // EIGEN_FUZZY_H