Add inverse dynamics / mass matrix code from DeepMimic, thanks to Xue Bin (Jason) Peng Add example how to use stable PD control for humanoid with spherical joints (see humanoidMotionCapture.py) Fix related to TinyRenderer object transforms not updating when using collision filtering
163 lines
4.2 KiB
C++
163 lines
4.2 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) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
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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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#ifndef EIGEN_ALLANDANY_H
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#define EIGEN_ALLANDANY_H
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namespace Eigen {
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namespace internal {
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template<typename Derived, int UnrollCount, int Rows>
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struct all_unroller
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{
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enum {
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col = (UnrollCount-1) / Rows,
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row = (UnrollCount-1) % Rows
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};
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static inline bool run(const Derived &mat)
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{
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return all_unroller<Derived, UnrollCount-1, Rows>::run(mat) && mat.coeff(row, col);
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}
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};
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template<typename Derived, int Rows>
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struct all_unroller<Derived, 0, Rows>
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{
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static inline bool run(const Derived &/*mat*/) { return true; }
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};
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template<typename Derived, int Rows>
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struct all_unroller<Derived, Dynamic, Rows>
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{
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static inline bool run(const Derived &) { return false; }
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};
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template<typename Derived, int UnrollCount, int Rows>
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struct any_unroller
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{
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enum {
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col = (UnrollCount-1) / Rows,
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row = (UnrollCount-1) % Rows
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};
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static inline bool run(const Derived &mat)
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{
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return any_unroller<Derived, UnrollCount-1, Rows>::run(mat) || mat.coeff(row, col);
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}
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};
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template<typename Derived, int Rows>
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struct any_unroller<Derived, 0, Rows>
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{
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static inline bool run(const Derived & /*mat*/) { return false; }
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};
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template<typename Derived, int Rows>
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struct any_unroller<Derived, Dynamic, Rows>
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{
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static inline bool run(const Derived &) { return false; }
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};
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} // end namespace internal
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/** \returns true if all coefficients are true
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*
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* Example: \include MatrixBase_all.cpp
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* Output: \verbinclude MatrixBase_all.out
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*
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* \sa any(), Cwise::operator<()
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*/
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template<typename Derived>
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EIGEN_DEVICE_FUNC inline bool DenseBase<Derived>::all() const
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{
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typedef internal::evaluator<Derived> Evaluator;
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enum {
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unroll = SizeAtCompileTime != Dynamic
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&& SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits<Scalar>::AddCost) <= EIGEN_UNROLLING_LIMIT
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};
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Evaluator evaluator(derived());
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if(unroll)
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return internal::all_unroller<Evaluator, unroll ? int(SizeAtCompileTime) : Dynamic, internal::traits<Derived>::RowsAtCompileTime>::run(evaluator);
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else
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{
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for(Index j = 0; j < cols(); ++j)
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for(Index i = 0; i < rows(); ++i)
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if (!evaluator.coeff(i, j)) return false;
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return true;
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}
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}
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/** \returns true if at least one coefficient is true
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*
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* \sa all()
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*/
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template<typename Derived>
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EIGEN_DEVICE_FUNC inline bool DenseBase<Derived>::any() const
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{
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typedef internal::evaluator<Derived> Evaluator;
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enum {
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unroll = SizeAtCompileTime != Dynamic
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&& SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits<Scalar>::AddCost) <= EIGEN_UNROLLING_LIMIT
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};
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Evaluator evaluator(derived());
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if(unroll)
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return internal::any_unroller<Evaluator, unroll ? int(SizeAtCompileTime) : Dynamic, internal::traits<Derived>::RowsAtCompileTime>::run(evaluator);
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else
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{
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for(Index j = 0; j < cols(); ++j)
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for(Index i = 0; i < rows(); ++i)
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if (evaluator.coeff(i, j)) return true;
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return false;
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}
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}
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/** \returns the number of coefficients which evaluate to true
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*
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* \sa all(), any()
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*/
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template<typename Derived>
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EIGEN_DEVICE_FUNC inline Eigen::Index DenseBase<Derived>::count() const
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{
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return derived().template cast<bool>().template cast<Index>().sum();
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}
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/** \returns true is \c *this contains at least one Not A Number (NaN).
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*
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* \sa allFinite()
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*/
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template<typename Derived>
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inline bool DenseBase<Derived>::hasNaN() const
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{
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#if EIGEN_COMP_MSVC || (defined __FAST_MATH__)
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return derived().array().isNaN().any();
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#else
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return !((derived().array()==derived().array()).all());
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#endif
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}
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/** \returns true if \c *this contains only finite numbers, i.e., no NaN and no +/-INF values.
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*
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* \sa hasNaN()
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*/
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template<typename Derived>
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inline bool DenseBase<Derived>::allFinite() const
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{
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#if EIGEN_COMP_MSVC || (defined __FAST_MATH__)
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return derived().array().isFinite().all();
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#else
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return !((derived()-derived()).hasNaN());
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#endif
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}
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} // end namespace Eigen
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#endif // EIGEN_ALLANDANY_H
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