gtsam/gtsam_unstable/nonlinear/Expression-inl.h

494 lines
13 KiB
C++

/* ----------------------------------------------------------------------------
* GTSAM Copyright 2010, Georgia Tech Research Corporation,
* Atlanta, Georgia 30332-0415
* All Rights Reserved
* Authors: Frank Dellaert, et al. (see THANKS for the full author list)
* See LICENSE for the license information
* -------------------------------------------------------------------------- */
/**
* @file Expression-inl.h
* @date September 18, 2014
* @author Frank Dellaert
* @author Paul Furgale
* @brief Internals for Expression.h, not for general consumption
*/
#pragma once
#include <gtsam/nonlinear/Values.h>
#include <gtsam/base/Matrix.h>
#include <boost/foreach.hpp>
namespace gtsam {
template<typename T>
class Expression;
//#define NEW_CLASS
#ifdef NEW_CLASS
class JacobianMap: public std::map<Key, Matrix> {
public:
void add(Key key, const Matrix& H) {
iterator it = find(key);
if (it != end())
it->second += H;
else
insert(std::make_pair(key, H));
}
};
#else
typedef std::map<Key, Matrix> JacobianMap;
#endif
//-----------------------------------------------------------------------------
/**
* Value and Jacobians
*/
template<class T>
class Augmented {
private:
T value_;
JacobianMap jacobians_;
typedef std::pair<Key, Matrix> Pair;
/// Insert terms into jacobians_, premultiplying by H, adding if already exists
void add(const JacobianMap& terms) {
BOOST_FOREACH(const Pair& term, terms)
#ifdef NEW_CLASS
jacobians_.add(term.first, term.second);
#else
{
JacobianMap::iterator it = jacobians_.find(term.first);
if (it != jacobians_.end())
it->second += term.second;
else
jacobians_[term.first] = term.second;
}
#endif
}
/// Insert terms into jacobians_, premultiplying by H, adding if already exists
void add(const Matrix& H, const JacobianMap& terms) {
BOOST_FOREACH(const Pair& term, terms)
#ifdef NEW_CLASS
jacobians_.add(term.first, H * term.second);
#else
{
JacobianMap::iterator it = jacobians_.find(term.first);
if (it != jacobians_.end())
it->second += H * term.second;
else
jacobians_[term.first] = H * term.second;
}
#endif
}
public:
/// Construct value that does not depend on anything
Augmented(const T& t) :
value_(t) {
}
/// Construct value dependent on a single key
Augmented(const T& t, Key key) :
value_(t) {
size_t n = t.dim();
jacobians_[key] = Eigen::MatrixXd::Identity(n, n);
}
/// Construct value dependent on a single key, with Jacobain H
Augmented(const T& t, Key key, const Matrix& H) :
value_(t) {
jacobians_[key] = H;
}
/// Construct value, pre-multiply jacobians by H
Augmented(const T& t, const Matrix& H, const JacobianMap& jacobians) :
value_(t) {
add(H, jacobians);
}
/// Construct value, pre-multiply jacobians by H
Augmented(const T& t, const Matrix& H1, const JacobianMap& jacobians1,
const Matrix& H2, const JacobianMap& jacobians2) :
value_(t) {
add(H1, jacobians1);
add(H2, jacobians2);
}
/// Return value
const T& value() const {
return value_;
}
/// Return jacobians
const JacobianMap& jacobians() const {
return jacobians_;
}
/// Return jacobians
JacobianMap& jacobians() {
return jacobians_;
}
/// Not dependent on any key
bool constant() const {
return jacobians_.empty();
}
/// debugging
void print(const KeyFormatter& keyFormatter = DefaultKeyFormatter) {
BOOST_FOREACH(const Pair& term, jacobians_)
std::cout << "(" << keyFormatter(term.first) << ", " << term.second.rows()
<< "x" << term.second.cols() << ") ";
std::cout << std::endl;
}
};
//-----------------------------------------------------------------------------
template<class T>
struct JacobianTrace {
T t;
T value() const {
return t;
}
virtual void reverseAD(JacobianMap& jacobians) const = 0;
virtual void reverseAD(const Matrix& H, JacobianMap& jacobians) const = 0;
};
//-----------------------------------------------------------------------------
/**
* Expression node. The superclass for objects that do the heavy lifting
* An Expression<T> has a pointer to an ExpressionNode<T> underneath
* allowing Expressions to have polymorphic behaviour even though they
* are passed by value. This is the same way boost::function works.
* http://loki-lib.sourceforge.net/html/a00652.html
*/
template<class T>
class ExpressionNode {
protected:
ExpressionNode() {
}
public:
/// Destructor
virtual ~ExpressionNode() {
}
/// Return keys that play in this expression as a set
virtual std::set<Key> keys() const = 0;
/// Return value
virtual T value(const Values& values) const = 0;
/// Return value and derivatives
virtual Augmented<T> forward(const Values& values) const = 0;
/// Construct an execution trace for reverse AD
virtual boost::shared_ptr<JacobianTrace<T> > traceExecution(
const Values& values) const = 0;
};
//-----------------------------------------------------------------------------
/// Constant Expression
template<class T>
class ConstantExpression: public ExpressionNode<T> {
/// The constant value
T constant_;
/// Constructor with a value, yielding a constant
ConstantExpression(const T& value) :
constant_(value) {
}
friend class Expression<T> ;
public:
/// Destructor
virtual ~ConstantExpression() {
}
/// Return keys that play in this expression, i.e., the empty set
virtual std::set<Key> keys() const {
std::set<Key> keys;
return keys;
}
/// Return value
virtual T value(const Values& values) const {
return constant_;
}
/// Return value and derivatives
virtual Augmented<T> forward(const Values& values) const {
return Augmented<T>(constant_);
}
/// Trace structure for reverse AD
struct Trace: public JacobianTrace<T> {
/// If the expression is just a constant, we do nothing
virtual void reverseAD(JacobianMap& jacobians) const {
}
/// Base case: we simply ignore the given df/dT
virtual void reverseAD(const Matrix& H, JacobianMap& jacobians) const {
}
};
/// Construct an execution trace for reverse AD
virtual boost::shared_ptr<JacobianTrace<T> > traceExecution(
const Values& values) const {
boost::shared_ptr<Trace> trace = boost::make_shared<Trace>();
trace->t = constant_;
return trace;
}
};
//-----------------------------------------------------------------------------
/// Leaf Expression
template<class T>
class LeafExpression: public ExpressionNode<T> {
/// The key into values
Key key_;
/// Constructor with a single key
LeafExpression(Key key) :
key_(key) {
}
friend class Expression<T> ;
public:
/// Destructor
virtual ~LeafExpression() {
}
/// Return keys that play in this expression
virtual std::set<Key> keys() const {
std::set<Key> keys;
keys.insert(key_);
return keys;
}
/// Return value
virtual T value(const Values& values) const {
return values.at<T>(key_);
}
/// Return value and derivatives
virtual Augmented<T> forward(const Values& values) const {
T t = value(values);
return Augmented<T>(t, key_);
}
/// Trace structure for reverse AD
struct Trace: public JacobianTrace<T> {
Key key;
/// If the expression is just a leaf, we just insert an identity matrix
virtual void reverseAD(JacobianMap& jacobians) const {
size_t n = T::Dim();
jacobians[key] = Eigen::MatrixXd::Identity(n, n);
}
/// Base case: given df/dT, add it jacobians with correct key and we are done
virtual void reverseAD(const Matrix& H, JacobianMap& jacobians) const {
#ifdef NEW_CLASS
jacobians.add(key, H);
#else
JacobianMap::iterator it = jacobians.find(key);
if (it != jacobians.end())
it->second += H;
else
jacobians[key] = H;
#endif
}
};
/// Construct an execution trace for reverse AD
virtual boost::shared_ptr<JacobianTrace<T> > traceExecution(
const Values& values) const {
boost::shared_ptr<Trace> trace = boost::make_shared<Trace>();
trace->t = value(values);
trace->key = key_;
return trace;
}
};
//-----------------------------------------------------------------------------
/// Unary Function Expression
template<class T, class A>
class UnaryExpression: public ExpressionNode<T> {
public:
typedef boost::function<T(const A&, boost::optional<Matrix&>)> Function;
private:
Function function_;
boost::shared_ptr<ExpressionNode<A> > expressionA_;
/// Constructor with a unary function f, and input argument e
UnaryExpression(Function f, const Expression<A>& e) :
function_(f), expressionA_(e.root()) {
}
friend class Expression<T> ;
public:
/// Destructor
virtual ~UnaryExpression() {
}
/// Return keys that play in this expression
virtual std::set<Key> keys() const {
return expressionA_->keys();
}
/// Return value
virtual T value(const Values& values) const {
return function_(this->expressionA_->value(values), boost::none);
}
/// Return value and derivatives
virtual Augmented<T> forward(const Values& values) const {
using boost::none;
Augmented<A> argument = this->expressionA_->forward(values);
Matrix H;
T t = function_(argument.value(),
argument.constant() ? none : boost::optional<Matrix&>(H));
return Augmented<T>(t, H, argument.jacobians());
}
/// Trace structure for reverse AD
struct Trace: public JacobianTrace<T> {
boost::shared_ptr<JacobianTrace<A> > trace1;
Matrix H1;
/// Start the reverse AD process
virtual void reverseAD(JacobianMap& jacobians) const {
trace1->reverseAD(H1, jacobians);
}
/// Given df/dT, multiply in dT/dA and continue reverse AD process
virtual void reverseAD(const Matrix& H, JacobianMap& jacobians) const {
trace1->reverseAD(H * H1, jacobians);
}
};
/// Construct an execution trace for reverse AD
virtual boost::shared_ptr<JacobianTrace<T> > traceExecution(
const Values& values) const {
boost::shared_ptr<Trace> trace = boost::make_shared<Trace>();
trace->trace1 = this->expressionA_->traceExecution(values);
trace->t = function_(trace->trace1->value(), trace->H1);
return trace;
}
};
//-----------------------------------------------------------------------------
/// Binary Expression
template<class T, class A1, class A2>
class BinaryExpression: public ExpressionNode<T> {
public:
typedef boost::function<
T(const A1&, const A2&, boost::optional<Matrix&>,
boost::optional<Matrix&>)> Function;
private:
Function function_;
boost::shared_ptr<ExpressionNode<A1> > expressionA1_;
boost::shared_ptr<ExpressionNode<A2> > expressionA2_;
/// Constructor with a binary function f, and two input arguments
BinaryExpression(Function f, //
const Expression<A1>& e1, const Expression<A2>& e2) :
function_(f), expressionA1_(e1.root()), expressionA2_(e2.root()) {
}
friend class Expression<T> ;
public:
/// Destructor
virtual ~BinaryExpression() {
}
/// Return keys that play in this expression
virtual std::set<Key> keys() const {
std::set<Key> keys1 = expressionA1_->keys();
std::set<Key> keys2 = expressionA2_->keys();
keys1.insert(keys2.begin(), keys2.end());
return keys1;
}
/// Return value
virtual T value(const Values& values) const {
using boost::none;
return function_(this->expressionA1_->value(values),
this->expressionA2_->value(values), none, none);
}
/// Return value and derivatives
virtual Augmented<T> forward(const Values& values) const {
using boost::none;
Augmented<A1> argument1 = this->expressionA1_->forward(values);
Augmented<A2> argument2 = this->expressionA2_->forward(values);
Matrix H1, H2;
T t = function_(argument1.value(), argument2.value(),
argument1.constant() ? none : boost::optional<Matrix&>(H1),
argument2.constant() ? none : boost::optional<Matrix&>(H2));
return Augmented<T>(t, H1, argument1.jacobians(), H2, argument2.jacobians());
}
/// Trace structure for reverse AD
struct Trace: public JacobianTrace<T> {
boost::shared_ptr<JacobianTrace<A1> > trace1;
boost::shared_ptr<JacobianTrace<A2> > trace2;
Matrix H1, H2;
/// Start the reverse AD process
virtual void reverseAD(JacobianMap& jacobians) const {
trace1->reverseAD(H1, jacobians);
trace2->reverseAD(H2, jacobians);
}
/// Given df/dT, multiply in dT/dA and continue reverse AD process
virtual void reverseAD(const Matrix& H, JacobianMap& jacobians) const {
trace1->reverseAD(H * H1, jacobians);
trace2->reverseAD(H * H2, jacobians);
}
};
/// Construct an execution trace for reverse AD
virtual boost::shared_ptr<JacobianTrace<T> > traceExecution(
const Values& values) const {
boost::shared_ptr<Trace> trace = boost::make_shared<Trace>();
trace->trace1 = this->expressionA1_->traceExecution(values);
trace->trace2 = this->expressionA2_->traceExecution(values);
trace->t = function_(trace->trace1->value(), trace->trace2->value(),
trace->H1, trace->H2);
return trace;
}
};
//-----------------------------------------------------------------------------
}