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A C++ Algorithmic Differentiation Package with Source Code Generation
CppAD::cg::CGAbstractAtomicFun< Base > Class Template Referenceabstract
Inheritance diagram for CppAD::cg::CGAbstractAtomicFun< Base >:
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Public Types

using Super = BaseAbstractAtomicFun< Base >
 
using CGB = CppAD::cg::CG< Base >
 
using Arg = Argument< Base >
 

Public Member Functions

template<class ADVector >
void operator() (const ADVector &ax, ADVector &ay, size_t id=0)
 
size_t getId () const
 
bool isStandAlone () const
 
bool forward (size_t q, size_t p, const CppAD::vector< bool > &vx, CppAD::vector< bool > &vy, const CppAD::vector< CGB > &tx, CppAD::vector< CGB > &ty) override
 
bool reverse (size_t p, const CppAD::vector< CGB > &tx, const CppAD::vector< CGB > &ty, CppAD::vector< CGB > &px, const CppAD::vector< CGB > &py) override
 
virtual CppAD::vector< std::set< size_t > > jacobianForwardSparsitySet (size_t m, const CppAD::vector< CGB > &x)
 
virtual CppAD::vector< std::set< size_t > > jacobianReverseSparsitySet (size_t m, const CppAD::vector< CGB > &x)
 
virtual CppAD::vector< std::set< size_t > > hessianSparsitySet (size_t m, const CppAD::vector< CGB > &x)
 
virtual CppAD::vector< std::set< size_t > > hessianSparsitySet (const CppAD::vector< bool > &s, const CppAD::vector< CGB > &x)
 

Static Public Member Functions

static size_t createNewAtomicFunctionID ()
 

Protected Member Functions

 CGAbstractAtomicFun (const std::string &name, bool standAlone=false)
 
virtual void zeroOrderDependency (const CppAD::vector< bool > &vx, CppAD::vector< bool > &vy, const CppAD::vector< CGB > &x)=0
 
virtual bool atomicForward (size_t q, size_t p, const CppAD::vector< Base > &tx, CppAD::vector< Base > &ty)=0
 
virtual bool atomicReverse (size_t p, const CppAD::vector< Base > &tx, const CppAD::vector< Base > &ty, CppAD::vector< Base > &px, const CppAD::vector< Base > &py)=0
 

Static Protected Member Functions

static void appendAsArguments (typename std::vector< Arg >::iterator begin, const CppAD::vector< CGB > &tx)
 
static OperationNode< Base > * makeArray (CodeHandler< Base > &handler, const CppAD::vector< CGB > &tx)
 
static OperationNode< Base > * makeArray (CodeHandler< Base > &handler, const CppAD::vector< CGB > &tx, size_t p, size_t k)
 
static OperationNode< Base > * makeZeroArray (CodeHandler< Base > &handler, size_t size)
 
static OperationNode< Base > * makeEmptySparseArray (CodeHandler< Base > &handler, size_t size)
 
static OperationNode< Base > * makeSparseArray (CodeHandler< Base > &handler, const CppAD::vector< CGB > &py, size_t p, size_t k)
 
static bool isParameters (const CppAD::vector< CGB > &tx)
 
static bool isValuesDefined (const CppAD::vector< CGB > &tx)
 

Protected Attributes

const size_t id_
 
bool standAlone_
 

Detailed Description

template<class Base>
class CppAD::cg::CGAbstractAtomicFun< Base >

An atomic function for source code generation

Author
Joao Leal

Definition at line 28 of file abstract_atomic_fun.hpp.

Constructor & Destructor Documentation

◆ CGAbstractAtomicFun()

template<class Base>
CppAD::cg::CGAbstractAtomicFun< Base >::CGAbstractAtomicFun ( const std::string &  name,
bool  standAlone = false 
)
inlineexplicitprotected

Creates a new atomic function that is responsible for defining the dependencies to calls of a user atomic function.

Parameters
nameThe atomic function name.
standAloneWhether or not forward and reverse function calls do not require the Taylor coefficients for the dependent variables (ty) and any previous evaluation of other forward/reverse modes.

Definition at line 57 of file abstract_atomic_fun.hpp.

Member Function Documentation

◆ atomicForward()

template<class Base>
virtual bool CppAD::cg::CGAbstractAtomicFun< Base >::atomicForward ( size_t  q,
size_t  p,
const CppAD::vector< Base > &  tx,
CppAD::vector< Base > &  ty 
)
protectedpure virtual

Used to evaluate function values and forward mode function values and derivatives.

Parameters
qLowest order for this forward mode calculation.
pHighest order for this forward mode calculation.
vxIf size not zero, which components of x are variables
vyIf size not zero, which components of y are variables
txTaylor coefficients corresponding to x for this calculation
tyTaylor coefficient corresponding to y for this calculation
Returns
true on success, false otherwise

Implemented in CppAD::cg::CGAtomicFunBridge< Base >, and CppAD::cg::CGAtomicFun< Base >.

Referenced by CppAD::cg::CGAbstractAtomicFun< ScalarOut >::createNewAtomicFunctionID().

◆ atomicReverse()

template<class Base>
virtual bool CppAD::cg::CGAbstractAtomicFun< Base >::atomicReverse ( size_t  p,
const CppAD::vector< Base > &  tx,
const CppAD::vector< Base > &  ty,
CppAD::vector< Base > &  px,
const CppAD::vector< Base > &  py 
)
protectedpure virtual

Used to evaluate reverse mode function derivatives.

Parameters
pHighest order for this forward mode calculation.
txTaylor coefficients corresponding to x for this calculation
tyTaylor coefficient corresponding to y for this calculation
pxPartials w.r.t. the x Taylor coefficients.
pyPartials w.r.t. the y Taylor coefficients
Returns
true on success, false otherwise

Implemented in CppAD::cg::CGAtomicFunBridge< Base >, and CppAD::cg::CGAtomicFun< Base >.

Referenced by CppAD::cg::CGAbstractAtomicFun< ScalarOut >::createNewAtomicFunctionID().

◆ createNewAtomicFunctionID()

template<class Base>
static size_t CppAD::cg::CGAbstractAtomicFun< Base >::createNewAtomicFunctionID ( )
inlinestatic

Uses an internal counter to produce IDs for atomic functions.

Definition at line 495 of file abstract_atomic_fun.hpp.

◆ forward()

template<class Base>
bool CppAD::cg::CGAbstractAtomicFun< Base >::forward ( size_t  q,
size_t  p,
const CppAD::vector< bool > &  vx,
CppAD::vector< bool > &  vy,
const CppAD::vector< CGB > &  tx,
CppAD::vector< CGB > &  ty 
)
inlineoverride

Use the jacobian sparsity to determine which elements will always be zero

Definition at line 94 of file abstract_atomic_fun.hpp.

◆ getId()

template<class Base>
size_t CppAD::cg::CGAbstractAtomicFun< Base >::getId ( ) const
inline

Provides a unique identifier for this atomic function type.

Returns
a unique identifier ID

Definition at line 81 of file abstract_atomic_fun.hpp.

◆ hessianSparsitySet()

template<class Base>
virtual CppAD::vector<std::set<size_t> > CppAD::cg::CGAbstractAtomicFun< Base >::hessianSparsitySet ( const CppAD::vector< bool > &  s,
const CppAD::vector< CGB > &  x 
)
inlinevirtual

Determine the sparsity pattern p for Hessian of w^T F

Definition at line 462 of file abstract_atomic_fun.hpp.

◆ isStandAlone()

template<class Base>
bool CppAD::cg::CGAbstractAtomicFun< Base >::isStandAlone ( ) const
inline

Whether or not forward and reverse function calls do not require the Taylor coefficients for the dependent variables (ty) and any previous evaluation of other forward/reverse modes.

Definition at line 90 of file abstract_atomic_fun.hpp.

◆ reverse()

template<class Base>
bool CppAD::cg::CGAbstractAtomicFun< Base >::reverse ( size_t  p,
const CppAD::vector< CGB > &  tx,
const CppAD::vector< CGB > &  ty,
CppAD::vector< CGB > &  px,
const CppAD::vector< CGB > &  py 
)
inlineoverride

Use the Jacobian sparsity to determine which elements will always be zero

Use the Hessian sparsity to determine which elements will always be zero

Definition at line 233 of file abstract_atomic_fun.hpp.

Member Data Documentation

◆ id_

template<class Base>
const size_t CppAD::cg::CGAbstractAtomicFun< Base >::id_
protected

A unique identifier for this atomic function type

Definition at line 37 of file abstract_atomic_fun.hpp.

Referenced by CppAD::cg::CGAbstractAtomicFun< ScalarOut >::getId().

◆ standAlone_

template<class Base>
bool CppAD::cg::CGAbstractAtomicFun< Base >::standAlone_
protected

Whether or not forward and reverse function calls do not require the Taylor coefficients for the dependent variables (ty) and any previous evaluation of other forward/reverse modes.

Definition at line 43 of file abstract_atomic_fun.hpp.

Referenced by CppAD::cg::CGAbstractAtomicFun< ScalarOut >::isStandAlone().


The documentation for this class was generated from the following file: