本文整理汇总了C++中ExportStatementBlock::addFunctionCall方法的典型用法代码示例。如果您正苦于以下问题：C++ ExportStatementBlock::addFunctionCall方法的具体用法？C++ ExportStatementBlock::addFunctionCall怎么用？C++ ExportStatementBlock::addFunctionCall使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类ExportStatementBlock的用法示例。
在下文中一共展示了ExportStatementBlock::addFunctionCall方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: setup
//.........这里部分代码省略.........
else {
loop = &integrate;
loop->addStatement( std::string("for(") + run.getName() + " = 0; " + run.getName() + " < " + numInt.getName() + "; " + run.getName() + "++ ) {\n" );
}
loop->addStatement( rk_xxx.getCols( 0,NX ) == rk_eta.getCols( 0,NX ) );
if( grid.getNumIntervals() > 1 || !equidistantControlGrid() ) {
// Set rk_diffsPrev:
loop->addStatement( std::string("if( run > 0 ) {\n") );
if( NX1 > 0 ) {
ExportForLoop loopTemp1( i,0,NX1 );
loopTemp1.addStatement( rk_diffsPrev1.getSubMatrix( i,i+1,0,NX1 ) == rk_eta.getCols( i*NX+NX+NXA,i*NX+NX+NXA+NX1 ) );
if( NU > 0 ) loopTemp1.addStatement( rk_diffsPrev1.getSubMatrix( i,i+1,NX1,NX1+NU ) == rk_eta.getCols( i*NU+(NX+NXA)*(NX+1),i*NU+(NX+NXA)*(NX+1)+NU ) );
loop->addStatement( loopTemp1 );
}
if( NX2 > 0 ) {
ExportForLoop loopTemp2( i,0,NX2 );
loopTemp2.addStatement( rk_diffsPrev2.getSubMatrix( i,i+1,0,NX1+NX2 ) == rk_eta.getCols( i*NX+NX+NXA+NX1*NX,i*NX+NX+NXA+NX1*NX+NX1+NX2 ) );
if( NU > 0 ) loopTemp2.addStatement( rk_diffsPrev2.getSubMatrix( i,i+1,NX1+NX2,NX1+NX2+NU ) == rk_eta.getCols( i*NU+(NX+NXA)*(NX+1)+NX1*NU,i*NU+(NX+NXA)*(NX+1)+NX1*NU+NU ) );
loop->addStatement( loopTemp2 );
}
if( NX3 > 0 ) {
ExportForLoop loopTemp3( i,0,NX3 );
loopTemp3.addStatement( rk_diffsPrev3.getSubMatrix( i,i+1,0,NX ) == rk_eta.getCols( i*NX+NX+NXA+(NX1+NX2)*NX,i*NX+NX+NXA+(NX1+NX2)*NX+NX ) );
if( NU > 0 ) loopTemp3.addStatement( rk_diffsPrev3.getSubMatrix( i,i+1,NX,NX+NU ) == rk_eta.getCols( i*NU+(NX+NXA)*(NX+1)+(NX1+NX2)*NU,i*NU+(NX+NXA)*(NX+1)+(NX1+NX2)*NU+NU ) );
loop->addStatement( loopTemp3 );
}
loop->addStatement( std::string("}\n") );
}
// evaluate states:
if( NX1 > 0 ) {
loop->addFunctionCall( lin_input.getName(), rk_xxx, rk_eta.getAddress(0,0) );
}
if( NX2 > 0 ) {
loop->addFunctionCall( getNameRHS(), rk_xxx, rk_eta.getAddress(0,NX1) );
}
if( NX3 > 0 ) {
loop->addFunctionCall( getNameOutputRHS(), rk_xxx, rk_eta.getAddress(0,NX1+NX2) );
}
// evaluate sensitivities
if( NX2 > 0 ) {
loop->addFunctionCall( getNameDiffsRHS(), rk_xxx, rk_diffsNew2.getAddress(0,0) );
}
if( NX3 > 0 ) {
loop->addFunctionCall( getNameOutputDiffs(), rk_xxx, rk_diffsTemp3.getAddress(0,0) );
ExportForLoop loop1( i,0,NX3 );
ExportForLoop loop2( j,0,NX1+NX2 );
loop2.addStatement( rk_diffsNew3.getSubMatrix(i,i+1,j,j+1) == rk_diffsTemp3.getSubMatrix(i,i+1,j,j+1) );
loop1.addStatement( loop2 );
loop2 = ExportForLoop( j,0,NU );
loop2.addStatement( rk_diffsNew3.getSubMatrix(i,i+1,NX+j,NX+j+1) == rk_diffsTemp3.getSubMatrix(i,i+1,NX1+NX2+j,NX1+NX2+j+1) );
loop1.addStatement( loop2 );
loop->addStatement( loop1 );
}
// computation of the sensitivities using chain rule:
if( grid.getNumIntervals() > 1 || !equidistantControlGrid() ) {
loop->addStatement( std::string( "if( run == 0 ) {\n" ) );
}
// PART 1
updateInputSystem(loop, i, j, tmp_index);
// PART 2
updateImplicitSystem(loop, i, j, tmp_index);示例2: setup
returnValue DiscreteTimeExport::setup( )
{
int useOMP;
get(CG_USE_OPENMP, useOMP);
ExportStruct structWspace;
structWspace = useOMP ? ACADO_LOCAL : ACADO_WORKSPACE;
// non equidistant integration grids not implemented for NARX integrators
if( !equidistant ) return ACADOERROR( RET_INVALID_OPTION );
String fileName( "integrator.c" );
int printLevel;
get( PRINTLEVEL,printLevel );
if ( (PrintLevel)printLevel >= HIGH )
acadoPrintf( "--> Preparing to export %s... ",fileName.getName() );
ExportIndex run( "run" );
ExportIndex i( "i" );
ExportIndex j( "j" );
ExportIndex k( "k" );
ExportIndex tmp_index("tmp_index");
uint diffsDim = NX*(NX+NU);
uint inputDim = NX*(NX+NU+1) + NU + NP;
// setup INTEGRATE function
rk_index = ExportVariable( "rk_index", 1, 1, INT, ACADO_LOCAL, BT_TRUE );
rk_eta = ExportVariable( "rk_eta", 1, inputDim, REAL );
if( equidistantControlGrid() ) {
integrate = ExportFunction( "integrate", rk_eta, reset_int );
}
else {
integrate = ExportFunction( "integrate", rk_eta, reset_int, rk_index );
}
integrate.setReturnValue( error_code );
integrate.addIndex( run );
integrate.addIndex( i );
integrate.addIndex( j );
integrate.addIndex( k );
integrate.addIndex( tmp_index );
rhs_in = ExportVariable( "x", inputDim-diffsDim, 1, REAL, ACADO_LOCAL );
rhs_out = ExportVariable( "f", NX, 1, REAL, ACADO_LOCAL );
fullRhs = ExportFunction( "full_rhs", rhs_in, rhs_out );
rk_xxx = ExportVariable( "rk_xxx", 1, inputDim-diffsDim, REAL, structWspace );
if( grid.getNumIntervals() > 1 || !equidistantControlGrid() ) {
rk_diffsPrev1 = ExportVariable( "rk_diffsPrev1", NX1, NX1+NU, REAL, structWspace );
rk_diffsPrev2 = ExportVariable( "rk_diffsPrev2", NX2, NX1+NX2+NU, REAL, structWspace );
}
rk_diffsNew1 = ExportVariable( "rk_diffsNew1", NX1, NX1+NU, REAL, structWspace );
rk_diffsNew2 = ExportVariable( "rk_diffsNew2", NX2, NX1+NX2+NU, REAL, structWspace );
ExportVariable numInt( "numInts", 1, 1, INT );
if( !equidistantControlGrid() ) {
ExportVariable numStepsV( "numSteps", numSteps, STATIC_CONST_INT );
integrate.addStatement( String( "int " ) << numInt.getName() << " = " << numStepsV.getName() << "[" << rk_index.getName() << "];\n" );
}
integrate.addStatement( rk_xxx.getCols( NX,inputDim-diffsDim ) == rk_eta.getCols( NX+diffsDim,inputDim ) );
integrate.addLinebreak( );
// integrator loop:
ExportForLoop tmpLoop( run, 0, grid.getNumIntervals() );
ExportStatementBlock *loop;
if( equidistantControlGrid() ) {
loop = &tmpLoop;
}
else {
loop = &integrate;
loop->addStatement( String("for(") << run.getName() << " = 0; " << run.getName() << " < " << numInt.getName() << "; " << run.getName() << "++ ) {\n" );
}
loop->addStatement( rk_xxx.getCols( 0,NX ) == rk_eta.getCols( 0,NX ) );
if( grid.getNumIntervals() > 1 || !equidistantControlGrid() ) {
// Set rk_diffsPrev:
loop->addStatement( String("if( run > 0 ) {\n") );
if( NX1 > 0 ) {
ExportForLoop loopTemp1( i,0,NX1 );
loopTemp1.addStatement( rk_diffsPrev1.getSubMatrix( i,i+1,0,NX1 ) == rk_eta.getCols( i*NX+NX+NXA,i*NX+NX+NXA+NX1 ) );
if( NU > 0 ) loopTemp1.addStatement( rk_diffsPrev1.getSubMatrix( i,i+1,NX1,NX1+NU ) == rk_eta.getCols( i*NU+(NX+NXA)*(NX+1),i*NU+(NX+NXA)*(NX+1)+NU ) );
loop->addStatement( loopTemp1 );
}
if( NX2 > 0 ) {
ExportForLoop loopTemp2( i,0,NX2 );
loopTemp2.addStatement( rk_diffsPrev2.getSubMatrix( i,i+1,0,NX1+NX2 ) == rk_eta.getCols( i*NX+NX+NXA+NX1*NX,i*NX+NX+NXA+NX1*NX+NX1+NX2 ) );
if( NU > 0 ) loopTemp2.addStatement( rk_diffsPrev2.getSubMatrix( i,i+1,NX1+NX2,NX1+NX2+NU ) == rk_eta.getCols( i*NU+(NX+NXA)*(NX+1)+NX1*NU,i*NU+(NX+NXA)*(NX+1)+NX1*NU+NU ) );
loop->addStatement( loopTemp2 );
}
loop->addStatement( String("}\n") );
}
// evaluate states:
if( NX1 > 0 ) {
loop->addFunctionCall( lin_input.getName(), rk_xxx, rk_eta.getAddress(0,0) );
}
if( NX2 > 0 ) {
loop->addFunctionCall( getNameRHS(), rk_xxx, rk_eta.getAddress(0,NX1) );
}
// evaluate sensitivities:
//.........这里部分代码省略.........