einstein.hpp

/*
 *    This file is part of CasADi.
 *
 *    CasADi -- A symbolic framework for dynamic optimization.
 *    Copyright (C) 2010-2023 Joel Andersson, Joris Gillis, Moritz Diehl,
 *                            KU Leuven. All rights reserved.
 *    Copyright (C) 2011-2014 Greg Horn
 *
 *    CasADi is free software; you can redistribute it and/or
 *    modify it under the terms of the GNU Lesser General Public
 *    License as published by the Free Software Foundation; either
 *    version 3 of the License, or (at your option) any later version.
 *
 *    CasADi is distributed in the hope that it will be useful,
 *    but WITHOUT ANY WARRANTY; without even the implied warranty of
 *    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
 *    Lesser General Public License for more details.
 *
 *    You should have received a copy of the GNU Lesser General Public
 *    License along with CasADi; if not, write to the Free Software
 *    Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA
 *
 */
 
 
#ifndef CASADI_EINSTEIN_HPP
#define CASADI_EINSTEIN_HPP
 
#include "mx_node.hpp"
 
 
namespace casadi {
  class CASADI_EXPORT Einstein : public MXNode {
  public:
 
    Einstein(const MX& C, const MX& A, const MX& B,
      const std::vector<casadi_int>& dim_c, const std::vector<casadi_int>& dim_a,
      const std::vector<casadi_int>& dim_b,
      const std::vector<casadi_int>& c, const std::vector<casadi_int>& a,
      const std::vector<casadi_int>& b);
 
    ~Einstein() override {}
 
    std::string disp(const std::vector<std::string>& arg) const override;
 
    void generate(CodeGenerator& g,
                  const std::vector<casadi_int>& arg,
                  const std::vector<casadi_int>& res) const override;
 
    template<typename T>
    int eval_gen(const T** arg, T** res, casadi_int* iw, T* w) const;
 
    int eval(const double** arg, double** res, casadi_int* iw, double* w) const override;
 
    int eval_sx(const SXElem** arg, SXElem** res, casadi_int* iw, SXElem* w) const override;
 
    void eval_mx(const std::vector<MX>& arg, std::vector<MX>& res) const override;
 
    void ad_forward(const std::vector<std::vector<MX> >& fseed,
                         std::vector<std::vector<MX> >& fsens) const override;
 
    void ad_reverse(const std::vector<std::vector<MX> >& aseed,
                         std::vector<std::vector<MX> >& asens) const override;
 
    int sp_forward(const bvec_t** arg, bvec_t** res, casadi_int* iw, bvec_t* w) const override;
 
    int sp_reverse(bvec_t** arg, bvec_t** res, casadi_int* iw, bvec_t* w) const override;
 
    casadi_int op() const override { return OP_EINSTEIN;}
 
    casadi_int n_inplace() const override { return 1;}
 
    bool is_equal(const MXNode* node, casadi_int depth) const override {
      return sameOpAndDeps(node, depth) && dynamic_cast<const Einstein*>(node)!=nullptr;
    }
 
    size_t sz_w() const override { return sparsity().size1();}
 
    Dict info() const override {
      return {{"dim_a", dim_a_}, {"dim_b", dim_b_}, {"dim_c", dim_c_},
              {"a", a_}, {"b", b_}, {"c", c_},
              {"iter_dims", iter_dims_},
              {"strides_a", strides_a_}, {"strides_b", strides_b_}, {"strides_c", strides_c_},
              {"n_iter", n_iter_}};
    }
 
    std::vector<casadi_int> dim_c_, dim_a_, dim_b_;
    std::vector<casadi_int> c_, a_, b_;
 
    std::vector<casadi_int> iter_dims_;
 
    std::vector<casadi_int> strides_a_;
    std::vector<casadi_int> strides_b_;
    std::vector<casadi_int> strides_c_;
 
    casadi_int n_iter_;
 
  };
 
 
} // namespace casadi
 
#endif // CASADI_EINSTEIN_HPP