dynare/mex/sources/perfect_foresight_problem/DynamicModelCaller.hh

193 lines
6.1 KiB
C++

/*
* Copyright © 2019-2023 Dynare Team
*
* This file is part of Dynare.
*
* Dynare is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* Dynare 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 General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with Dynare. If not, see <https://www.gnu.org/licenses/>.
*/
#ifndef DYNAMIC_MODEL_CALLER_HH
#define DYNAMIC_MODEL_CALLER_HH
#include <algorithm>
#include <limits>
#include <memory>
#include <string>
#include <type_traits>
#include <vector>
#include <dynmex.h>
#if defined(_WIN32) || defined(__CYGWIN32__)
# ifndef NOMINMAX
# define NOMINMAX // Do not define "min" and "max" macros
# endif
# include <windows.h>
#else
# include <dlfcn.h> // unix/linux DLL (.so) handling routines
#endif
class DynamicModelCaller
{
public:
const bool linear;
bool compute_jacobian; // Not constant, because will be changed from true to false for linear
// models after first evaluation
// Used to store error messages (as exceptions cannot cross the OpenMP boundary)
static std::string error_msg;
DynamicModelCaller(bool linear_arg, bool compute_jacobian_arg) :
linear {linear_arg}, compute_jacobian {compute_jacobian_arg}
{
}
virtual ~DynamicModelCaller() = default;
[[nodiscard]] virtual double* y() = 0;
[[nodiscard]] virtual double* x() = 0;
/* Copy a column of the Jacobian to dest.
Only copies non-zero elements, according to g1_sparse_{rowval,colval,colptr}. */
virtual void copy_jacobian_column(mwIndex col, double* dest) const = 0;
virtual void eval(double* resid) = 0;
};
class DynamicModelDllCaller : public DynamicModelCaller
{
private:
#if defined(_WIN32) || defined(__CYGWIN32__)
static HINSTANCE resid_mex, g1_mex;
#else
static void *resid_mex, *g1_mex;
#endif
using dynamic_tt_fct = void (*)(const double* y, const double* x, const double* params,
const double* steady_state, double* T);
using dynamic_fct = void (*)(const double* y, const double* x, const double* params,
const double* steady_state, const double* T, double* value);
static dynamic_tt_fct residual_tt_fct, g1_tt_fct;
static dynamic_fct residual_fct, g1_fct;
const double *params, *steady_state;
std::vector<double> tt, y_p, x_p, jacobian_p;
const int32_T* g1_sparse_colptr;
public:
DynamicModelDllCaller(size_t ntt, mwIndex ny, mwIndex nx, const double* params_arg,
const double* steady_state_arg, const int32_T* g1_sparse_colptr_arg,
bool linear_arg, bool compute_jacobian_arg);
[[nodiscard]] double*
y() override
{
return y_p.data();
}
[[nodiscard]] double*
x() override
{
return x_p.data();
}
void copy_jacobian_column(mwIndex col, double* dest) const override;
void eval(double* resid) override;
static void load_dll(const std::string& basename);
static void unload_dll();
};
class DynamicModelMatlabCaller : public DynamicModelCaller
{
private:
std::string basename;
mxArray *y_mx, *x_mx, *jacobian_mx, *params_mx, *steady_state_mx, *g1_sparse_rowval_mx,
*g1_sparse_colval_mx, *g1_sparse_colptr_mx;
/* Given a complex matrix (of double floats), returns a sparse matrix of same size.
Real elements of the original matrix are copied as-is to the new one.
Complex elements are replaced by NaNs.
Destroys the original matrix.
There are two versions, one for dense matrices, another for sparse
matrices. */
template<bool sparse>
static mxArray* cmplxToReal(mxArray* cmplx_mx);
public:
DynamicModelMatlabCaller(std::string basename_arg, mwIndex ny, mwIndex nx,
const mxArray* params_mx_arg, const mxArray* steady_state_mx_arg,
const mxArray* g1_sparse_rowval_mx_arg,
const mxArray* g1_sparse_colval_mx_arg,
const mxArray* g1_sparse_colptr_mx_arg, bool linear_arg,
bool compute_jacobian_arg);
~DynamicModelMatlabCaller() override;
[[nodiscard]] double*
y() override
{
return mxGetPr(y_mx);
}
[[nodiscard]] double*
x() override
{
return mxGetPr(x_mx);
}
void copy_jacobian_column(mwIndex col, double* dest) const override;
void eval(double* resid) override;
class Exception
{
public:
const std::string msg;
Exception(std::string msg_arg) : msg {std::move(msg_arg)}
{
}
};
};
template<bool sparse>
mxArray*
DynamicModelMatlabCaller::cmplxToReal(mxArray* cmplx_mx)
{
mxArray* real_mx {
sparse ? mxCreateSparse(mxGetM(cmplx_mx), mxGetN(cmplx_mx), mxGetNzmax(cmplx_mx), mxREAL)
: mxCreateDoubleMatrix(mxGetM(cmplx_mx), mxGetN(cmplx_mx), mxREAL)};
if constexpr (sparse)
{
std::copy_n(mxGetIr(cmplx_mx), mxGetNzmax(cmplx_mx), mxGetIr(real_mx));
std::copy_n(mxGetJc(cmplx_mx), mxGetN(cmplx_mx) + 1, mxGetJc(real_mx));
}
#if MX_HAS_INTERLEAVED_COMPLEX
mxComplexDouble* cmplx {mxGetComplexDoubles(cmplx_mx)};
#else
double* cmplx_real {mxGetPr(cmplx_mx)};
double* cmplx_imag {mxGetPi(cmplx_mx)};
#endif
double* real {mxGetPr(real_mx)};
for (std::conditional_t<sparse, mwSize, size_t> i {0};
i <
[&] {
if constexpr (sparse)
return mxGetNzmax(cmplx_mx);
else
return mxGetNumberOfElements(cmplx_mx);
}(); // Use a lambda instead of the ternary operator to have the right type (there is no
// constexpr ternary operator)
i++)
#if MX_HAS_INTERLEAVED_COMPLEX
if (cmplx[i].imag == 0.0)
real[i] = cmplx[i].real;
#else
if (cmplx_imag[i] == 0.0)
real[i] = cmplx_real[i];
#endif
else
real[i] = std::numeric_limits<double>::quiet_NaN();
mxDestroyArray(cmplx_mx);
return real_mx;
}
#endif