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write Hessians of static and dynamic functions more efficiently

issue#70
Houtan Bastani 2015-08-20 12:18:19 +02:00
parent 1c27ff3cc4
commit 046bc44e8a
2 changed files with 69 additions and 44 deletions
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55
DynamicModel.cc
View File

@ -2157,35 +2157,50 @@ DynamicModel::writeDynamicModel(ostream &DynamicOutput, bool use_dll, bool julia
int col_nb = id1 * dynJacobianColsNbr + id2;
int col_nb_sym = id2 * dynJacobianColsNbr + id1;
sparseHelper(2, hessian_output, k, 0, output_type);
hessian_output << "=" << eq + 1 << ";" << endl;
sparseHelper(2, hessian_output, k, 1, output_type);
hessian_output << "=" << col_nb + 1 << ";" << endl;
sparseHelper(2, hessian_output, k, 2, output_type);
hessian_output << "=";
d2->writeOutput(hessian_output, output_type, temporary_terms, tef_terms);
hessian_output << ";" << endl;
k++;
// Treating symetric elements
if (id1 != id2)
ostringstream for_sym;
if (output_type == oJuliaDynamicModel)
{
for_sym << "g1[" << eq + 1 << "," << col_nb + 1 << "]";
hessian_output << " @inbounds " << for_sym.str() << " = ";
d2->writeOutput(hessian_output, output_type, temporary_terms, tef_terms);
hessian_output << endl;
}
else
{
sparseHelper(2, hessian_output, k, 0, output_type);
hessian_output << "=" << eq + 1 << ";" << endl;
sparseHelper(2, hessian_output, k, 1, output_type);
hessian_output << "=" << col_nb_sym + 1 << ";" << endl;
hessian_output << "=" << col_nb + 1 << ";" << endl;
sparseHelper(2, hessian_output, k, 2, output_type);
hessian_output << "=";
sparseHelper(2, hessian_output, k-1, 2, output_type);
d2->writeOutput(hessian_output, output_type, temporary_terms, tef_terms);
hessian_output << ";" << endl;
k++;
}
// Treating symetric elements
if (id1 != id2)
if (output_type == oJuliaDynamicModel)
hessian_output << " @inbounds g1[" << eq + 1 << "," << col_nb_sym + 1 << "] = "
<< for_sym.str() << endl;
else
{
sparseHelper(2, hessian_output, k, 0, output_type);
hessian_output << "=" << eq + 1 << ";" << endl;
sparseHelper(2, hessian_output, k, 1, output_type);
hessian_output << "=" << col_nb_sym + 1 << ";" << endl;
sparseHelper(2, hessian_output, k, 2, output_type);
hessian_output << "=";
sparseHelper(2, hessian_output, k-1, 2, output_type);
hessian_output << ";" << endl;
k++;
}
}
// Writing third derivatives
@ -2379,14 +2394,12 @@ DynamicModel::writeDynamicModel(ostream &DynamicOutput, bool use_dll, bool julia
<< " # g2: sparse zeros " << nrows << " x " << hessianColsNbr << endl
<< " #" << endl << endl
<< " dynamic!(y, x, params, steady_state, it_, residual, g1)" << endl
<< model_output.str()
<< " #" << endl
<< " # Hessian matrix" << endl
<< " #" << endl;
if (second_derivatives.size())
DynamicOutput << model_output.str()
<< " v2 = zeros(" << NNZDerivatives[1] << ",3);" << endl
<< hessian_output.str()
<< " g2 = sparse(v2(:,1),v2(:,2),v2(:,3)," << nrows << "," << hessianColsNbr << ");" << endl;
DynamicOutput << hessian_output.str();
// Initialize g3 matrix
int ncols = hessianColsNbr * dynJacobianColsNbr;

58
StaticModel.cc
View File

@ -1233,35 +1233,50 @@ StaticModel::writeStaticModel(ostream &StaticOutput, bool use_dll, bool julia) c
int col_nb = tsid1*symbol_table.endo_nbr()+tsid2;
int col_nb_sym = tsid2*symbol_table.endo_nbr()+tsid1;
sparseHelper(2, hessian_output, k, 0, output_type);
hessian_output << "=" << eq + 1 << ";" << endl;
sparseHelper(2, hessian_output, k, 1, output_type);
hessian_output << "=" << col_nb + 1 << ";" << endl;
sparseHelper(2, hessian_output, k, 2, output_type);
hessian_output << "=";
d2->writeOutput(hessian_output, output_type, temporary_terms, tef_terms);
hessian_output << ";" << endl;
k++;
// Treating symetric elements
if (symb_id1 != symb_id2)
ostringstream for_sym;
if (output_type == oJuliaDynamicModel)
{
for_sym << "g1[" << eq + 1 << "," << col_nb + 1 << "]";
hessian_output << " @inbounds " << for_sym.str() << " = ";
d2->writeOutput(hessian_output, output_type, temporary_terms, tef_terms);
hessian_output << endl;
}
else
{
sparseHelper(2, hessian_output, k, 0, output_type);
hessian_output << "=" << eq + 1 << ";" << endl;
sparseHelper(2, hessian_output, k, 1, output_type);
hessian_output << "=" << col_nb_sym + 1 << ";" << endl;
hessian_output << "=" << col_nb + 1 << ";" << endl;
sparseHelper(2, hessian_output, k, 2, output_type);
hessian_output << "=";
sparseHelper(2, hessian_output, k-1, 2, output_type);
d2->writeOutput(hessian_output, output_type, temporary_terms, tef_terms);
hessian_output << ";" << endl;
k++;
}
// Treating symetric elements
if (symb_id1 != symb_id2)
if (output_type == oJuliaDynamicModel)
hessian_output << " @inbounds g1[" << eq + 1 << "," << col_nb_sym + 1 << "] = "
<< for_sym.str() << endl;
else
{
sparseHelper(2, hessian_output, k, 0, output_type);
hessian_output << "=" << eq + 1 << ";" << endl;
sparseHelper(2, hessian_output, k, 1, output_type);
hessian_output << "=" << col_nb_sym + 1 << ";" << endl;
sparseHelper(2, hessian_output, k, 2, output_type);
hessian_output << "=";
sparseHelper(2, hessian_output, k-1, 2, output_type);
hessian_output << ";" << endl;
k++;
}
}
// Writing third derivatives
@ -1453,16 +1468,13 @@ StaticModel::writeStaticModel(ostream &StaticOutput, bool use_dll, bool julia) c
<< " # g2: sparse zeros " << equations.size() << " x " << g2ncols << endl
<< " #" << endl << endl
<< " static!(y, x, params, residual, g1)" << endl
<< model_output.str()
<< " #" << endl
<< " # Hessian matrix" << endl
<< " #" << endl;
if (second_derivatives.size())
StaticOutput << model_output.str()
<< " v2 = zeros(" << NNZDerivatives[1] << ",3);" << endl
<< hessian_output.str()
<< " g2 = sparse(v2(:,1),v2(:,2),v2(:,3)," << equations.size() << ","
<< g2ncols << ");" << endl;
StaticOutput << hessian_output.str();
// Initialize g3 matrix
int ncols = hessianColsNbr * JacobianColsNbr;
@ -1486,7 +1498,7 @@ StaticModel::writeStaticModel(ostream &StaticOutput, bool use_dll, bool julia) c
if (third_derivatives.size())
StaticOutput << model_output.str()
<< " v3 = zeros(" << NNZDerivatives[2] << ",3);" << endl
<< " v3 = Array(Float64, " << NNZDerivatives[2] << ", 3)" << endl
<< third_derivatives_output.str()
<< " g3 = sparse(v3(:,1),v3(:,2),v3(:,3)," << nrows << "," << ncols << ");"
<< endl;