sustaining_gazes/lib/3rdParty/dlib/include/dlib/matrix/matrix.h

1956 lines
62 KiB
C++

// Copyright (C) 2006 Davis E. King (davis@dlib.net)
// License: Boost Software License See LICENSE.txt for the full license.
#ifndef DLIB_MATRIx_
#define DLIB_MATRIx_
#include "matrix_exp.h"
#include "matrix_abstract.h"
#include "../algs.h"
#include "../serialize.h"
#include "../enable_if.h"
#include <sstream>
#include <algorithm>
#include "../memory_manager.h"
#include "../is_kind.h"
#include "matrix_data_layout.h"
#include "matrix_assign_fwd.h"
#include "matrix_op.h"
#ifdef _MSC_VER
// Disable the following warnings for Visual Studio
// This warning is:
// "warning C4355: 'this' : used in base member initializer list"
// Which we get from this code but it is not an error so I'm turning this
// warning off and then turning it back on at the end of the file.
#pragma warning(disable : 4355)
#endif
namespace dlib
{
// ----------------------------------------------------------------------------------------
// This template will perform the needed loop for element multiplication using whichever
// dimension is provided as a compile time constant (if one is at all).
template <
typename LHS,
typename RHS,
long lhs_nc = LHS::NC,
long rhs_nr = RHS::NR
>
struct matrix_multiply_helper
{
typedef typename LHS::type type;
template <typename RHS_, typename LHS_>
inline const static type eval (
const RHS_& rhs,
const LHS_& lhs,
const long r,
const long c
)
{
type temp = lhs(r,0)*rhs(0,c);
for (long i = 1; i < rhs.nr(); ++i)
{
temp += lhs(r,i)*rhs(i,c);
}
return temp;
}
};
template <
typename LHS,
typename RHS,
long lhs_nc
>
struct matrix_multiply_helper <LHS,RHS,lhs_nc,0>
{
typedef typename LHS::type type;
template <typename RHS_, typename LHS_>
inline const static type eval (
const RHS_& rhs,
const LHS_& lhs,
const long r,
const long c
)
{
type temp = lhs(r,0)*rhs(0,c);
for (long i = 1; i < lhs.nc(); ++i)
{
temp += lhs(r,i)*rhs(i,c);
}
return temp;
}
};
template <typename LHS, typename RHS>
class matrix_multiply_exp;
template <typename LHS, typename RHS>
struct matrix_traits<matrix_multiply_exp<LHS,RHS> >
{
typedef typename LHS::type type;
typedef typename LHS::type const_ret_type;
typedef typename LHS::mem_manager_type mem_manager_type;
typedef typename LHS::layout_type layout_type;
const static long NR = LHS::NR;
const static long NC = RHS::NC;
#ifdef DLIB_USE_BLAS
// if there are BLAS functions to be called then we want to make sure we
// always evaluate any complex expressions so that the BLAS bindings can happen.
const static bool lhs_is_costly = (LHS::cost > 2)&&(RHS::NC != 1 || LHS::cost >= 10000);
const static bool rhs_is_costly = (RHS::cost > 2)&&(LHS::NR != 1 || RHS::cost >= 10000);
#else
const static bool lhs_is_costly = (LHS::cost > 4)&&(RHS::NC != 1);
const static bool rhs_is_costly = (RHS::cost > 4)&&(LHS::NR != 1);
#endif
// Note that if we decide that one of the matrices is too costly we will evaluate it
// into a temporary. Doing this resets its cost back to 1.
const static long lhs_cost = ((lhs_is_costly==true)? 1 : (LHS::cost));
const static long rhs_cost = ((rhs_is_costly==true)? 1 : (RHS::cost));
// The cost of evaluating an element of a matrix multiply is the cost of evaluating elements from
// RHS and LHS times the number of rows/columns in the RHS/LHS matrix. If we don't know the matrix
// dimensions then just assume it is really large.
const static long cost = ((tmax<LHS::NC,RHS::NR>::value!=0)? ((lhs_cost+rhs_cost)*tmax<LHS::NC,RHS::NR>::value):(10000));
};
template <typename T, bool is_ref> struct conditional_matrix_temp { typedef typename T::matrix_type type; };
template <typename T> struct conditional_matrix_temp<T,true> { typedef T& type; };
template <
typename LHS,
typename RHS
>
class matrix_multiply_exp : public matrix_exp<matrix_multiply_exp<LHS,RHS> >
{
/*!
REQUIREMENTS ON LHS AND RHS
- must be matrix_exp objects.
!*/
public:
typedef typename matrix_traits<matrix_multiply_exp>::type type;
typedef typename matrix_traits<matrix_multiply_exp>::const_ret_type const_ret_type;
typedef typename matrix_traits<matrix_multiply_exp>::mem_manager_type mem_manager_type;
const static long NR = matrix_traits<matrix_multiply_exp>::NR;
const static long NC = matrix_traits<matrix_multiply_exp>::NC;
const static long cost = matrix_traits<matrix_multiply_exp>::cost;
typedef typename matrix_traits<matrix_multiply_exp>::layout_type layout_type;
const static bool lhs_is_costly = matrix_traits<matrix_multiply_exp>::lhs_is_costly;
const static bool rhs_is_costly = matrix_traits<matrix_multiply_exp>::rhs_is_costly;
const static bool either_is_costly = lhs_is_costly || rhs_is_costly;
const static bool both_are_costly = lhs_is_costly && rhs_is_costly;
typedef typename conditional_matrix_temp<const LHS,lhs_is_costly == false>::type LHS_ref_type;
typedef typename conditional_matrix_temp<const RHS,rhs_is_costly == false>::type RHS_ref_type;
// This constructor exists simply for the purpose of causing a compile time error if
// someone tries to create an instance of this object with the wrong kind of objects.
template <typename T1, typename T2>
matrix_multiply_exp (T1,T2);
inline matrix_multiply_exp (
const LHS& lhs_,
const RHS& rhs_
) :
lhs(lhs_),
rhs(rhs_)
{
// You are trying to multiply two incompatible matrices together. The number of columns
// in the matrix on the left must match the number of rows in the matrix on the right.
COMPILE_TIME_ASSERT(LHS::NC == RHS::NR || LHS::NC*RHS::NR == 0);
DLIB_ASSERT(lhs.nc() == rhs.nr() && lhs.size() > 0 && rhs.size() > 0,
"\tconst matrix_exp operator*(const matrix_exp& lhs, const matrix_exp& rhs)"
<< "\n\tYou are trying to multiply two incompatible matrices together"
<< "\n\tlhs.nr(): " << lhs.nr()
<< "\n\tlhs.nc(): " << lhs.nc()
<< "\n\trhs.nr(): " << rhs.nr()
<< "\n\trhs.nc(): " << rhs.nc()
<< "\n\t&lhs: " << &lhs
<< "\n\t&rhs: " << &rhs
);
// You can't multiply matrices together if they don't both contain the same type of elements.
COMPILE_TIME_ASSERT((is_same_type<typename LHS::type, typename RHS::type>::value == true));
}
inline const type operator() (
const long r,
const long c
) const
{
return matrix_multiply_helper<LHS,RHS>::eval(rhs,lhs,r,c);
}
inline const type operator() ( long i ) const
{ return matrix_exp<matrix_multiply_exp>::operator()(i); }
long nr (
) const { return lhs.nr(); }
long nc (
) const { return rhs.nc(); }
template <typename U>
bool aliases (
const matrix_exp<U>& item
) const { return lhs.aliases(item) || rhs.aliases(item); }
template <typename U>
bool destructively_aliases (
const matrix_exp<U>& item
) const { return aliases(item); }
LHS_ref_type lhs;
RHS_ref_type rhs;
};
template < typename EXP1, typename EXP2 >
inline const matrix_multiply_exp<EXP1, EXP2> operator* (
const matrix_exp<EXP1>& m1,
const matrix_exp<EXP2>& m2
)
{
return matrix_multiply_exp<EXP1, EXP2>(m1.ref(), m2.ref());
}
template <typename M, bool use_reference = true>
class matrix_mul_scal_exp;
// -------------------------
// Now we declare some overloads that cause any scalar multiplications to percolate
// up and outside of any matrix multiplies. Note that we are using the non-reference containing
// mode of the matrix_mul_scal_exp object since we are passing in locally constructed matrix_multiply_exp
// objects. So the matrix_mul_scal_exp object will contain copies of matrix_multiply_exp objects
// rather than references to them. This could result in extra matrix copies if the matrix_multiply_exp
// decided it should evaluate any of its arguments. So we also try to not apply this percolating operation
// if the matrix_multiply_exp would contain a fully evaluated copy of the original matrix_mul_scal_exp
// expression.
//
// Also, the reason we want to apply this transformation in the first place is because it (1) makes
// the expressions going into matrix multiply expressions simpler and (2) it makes it a lot more
// straightforward to bind BLAS calls to matrix expressions involving scalar multiplies.
template < typename EXP1, typename EXP2 >
inline const typename disable_if_c< matrix_multiply_exp<matrix_mul_scal_exp<EXP1>, matrix_mul_scal_exp<EXP2> >::both_are_costly ,
matrix_mul_scal_exp<matrix_multiply_exp<EXP1, EXP2>,false> >::type operator* (
const matrix_mul_scal_exp<EXP1>& m1,
const matrix_mul_scal_exp<EXP2>& m2
)
{
typedef matrix_multiply_exp<EXP1, EXP2> exp1;
typedef matrix_mul_scal_exp<exp1,false> exp2;
return exp2(exp1(m1.m, m2.m), m1.s*m2.s);
}
template < typename EXP1, typename EXP2 >
inline const typename disable_if_c< matrix_multiply_exp<matrix_mul_scal_exp<EXP1>, EXP2 >::lhs_is_costly ,
matrix_mul_scal_exp<matrix_multiply_exp<EXP1, EXP2>,false> >::type operator* (
const matrix_mul_scal_exp<EXP1>& m1,
const matrix_exp<EXP2>& m2
)
{
typedef matrix_multiply_exp<EXP1, EXP2> exp1;
typedef matrix_mul_scal_exp<exp1,false> exp2;
return exp2(exp1(m1.m, m2.ref()), m1.s);
}
template < typename EXP1, typename EXP2 >
inline const typename disable_if_c< matrix_multiply_exp<EXP1, matrix_mul_scal_exp<EXP2> >::rhs_is_costly ,
matrix_mul_scal_exp<matrix_multiply_exp<EXP1, EXP2>,false> >::type operator* (
const matrix_exp<EXP1>& m1,
const matrix_mul_scal_exp<EXP2>& m2
)
{
typedef matrix_multiply_exp<EXP1, EXP2> exp1;
typedef matrix_mul_scal_exp<exp1,false> exp2;
return exp2(exp1(m1.ref(), m2.m), m2.s);
}
// ----------------------------------------------------------------------------------------
template <typename LHS, typename RHS>
class matrix_add_exp;
template <typename LHS, typename RHS>
struct matrix_traits<matrix_add_exp<LHS,RHS> >
{
typedef typename LHS::type type;
typedef typename LHS::type const_ret_type;
typedef typename LHS::mem_manager_type mem_manager_type;
typedef typename LHS::layout_type layout_type;
const static long NR = (RHS::NR > LHS::NR) ? RHS::NR : LHS::NR;
const static long NC = (RHS::NC > LHS::NC) ? RHS::NC : LHS::NC;
const static long cost = LHS::cost+RHS::cost+1;
};
template <
typename LHS,
typename RHS
>
class matrix_add_exp : public matrix_exp<matrix_add_exp<LHS,RHS> >
{
/*!
REQUIREMENTS ON LHS AND RHS
- must be matrix_exp objects.
!*/
public:
typedef typename matrix_traits<matrix_add_exp>::type type;
typedef typename matrix_traits<matrix_add_exp>::const_ret_type const_ret_type;
typedef typename matrix_traits<matrix_add_exp>::mem_manager_type mem_manager_type;
const static long NR = matrix_traits<matrix_add_exp>::NR;
const static long NC = matrix_traits<matrix_add_exp>::NC;
const static long cost = matrix_traits<matrix_add_exp>::cost;
typedef typename matrix_traits<matrix_add_exp>::layout_type layout_type;
// This constructor exists simply for the purpose of causing a compile time error if
// someone tries to create an instance of this object with the wrong kind of objects.
template <typename T1, typename T2>
matrix_add_exp (T1,T2);
matrix_add_exp (
const LHS& lhs_,
const RHS& rhs_
) :
lhs(lhs_),
rhs(rhs_)
{
// You can only add matrices together if they both have the same number of rows and columns.
COMPILE_TIME_ASSERT(LHS::NR == RHS::NR || LHS::NR == 0 || RHS::NR == 0);
COMPILE_TIME_ASSERT(LHS::NC == RHS::NC || LHS::NC == 0 || RHS::NC == 0);
DLIB_ASSERT(lhs.nc() == rhs.nc() &&
lhs.nr() == rhs.nr(),
"\tconst matrix_exp operator+(const matrix_exp& lhs, const matrix_exp& rhs)"
<< "\n\tYou are trying to add two incompatible matrices together"
<< "\n\tlhs.nr(): " << lhs.nr()
<< "\n\tlhs.nc(): " << lhs.nc()
<< "\n\trhs.nr(): " << rhs.nr()
<< "\n\trhs.nc(): " << rhs.nc()
<< "\n\t&lhs: " << &lhs
<< "\n\t&rhs: " << &rhs
);
// You can only add matrices together if they both contain the same types of elements.
COMPILE_TIME_ASSERT((is_same_type<typename LHS::type, typename RHS::type>::value == true));
}
const type operator() (
long r,
long c
) const { return lhs(r,c) + rhs(r,c); }
inline const type operator() ( long i ) const
{ return matrix_exp<matrix_add_exp>::operator()(i); }
template <typename U>
bool aliases (
const matrix_exp<U>& item
) const { return lhs.aliases(item) || rhs.aliases(item); }
template <typename U>
bool destructively_aliases (
const matrix_exp<U>& item
) const { return lhs.destructively_aliases(item) || rhs.destructively_aliases(item); }
long nr (
) const { return lhs.nr(); }
long nc (
) const { return lhs.nc(); }
const LHS& lhs;
const RHS& rhs;
};
template <
typename EXP1,
typename EXP2
>
inline const matrix_add_exp<EXP1, EXP2> operator+ (
const matrix_exp<EXP1>& m1,
const matrix_exp<EXP2>& m2
)
{
return matrix_add_exp<EXP1, EXP2>(m1.ref(),m2.ref());
}
// ----------------------------------------------------------------------------------------
template <typename LHS, typename RHS>
class matrix_subtract_exp;
template <typename LHS, typename RHS>
struct matrix_traits<matrix_subtract_exp<LHS,RHS> >
{
typedef typename LHS::type type;
typedef typename LHS::type const_ret_type;
typedef typename LHS::mem_manager_type mem_manager_type;
typedef typename LHS::layout_type layout_type;
const static long NR = (RHS::NR > LHS::NR) ? RHS::NR : LHS::NR;
const static long NC = (RHS::NC > LHS::NC) ? RHS::NC : LHS::NC;
const static long cost = LHS::cost+RHS::cost+1;
};
template <
typename LHS,
typename RHS
>
class matrix_subtract_exp : public matrix_exp<matrix_subtract_exp<LHS,RHS> >
{
/*!
REQUIREMENTS ON LHS AND RHS
- must be matrix_exp objects.
!*/
public:
typedef typename matrix_traits<matrix_subtract_exp>::type type;
typedef typename matrix_traits<matrix_subtract_exp>::const_ret_type const_ret_type;
typedef typename matrix_traits<matrix_subtract_exp>::mem_manager_type mem_manager_type;
const static long NR = matrix_traits<matrix_subtract_exp>::NR;
const static long NC = matrix_traits<matrix_subtract_exp>::NC;
const static long cost = matrix_traits<matrix_subtract_exp>::cost;
typedef typename matrix_traits<matrix_subtract_exp>::layout_type layout_type;
// This constructor exists simply for the purpose of causing a compile time error if
// someone tries to create an instance of this object with the wrong kind of objects.
template <typename T1, typename T2>
matrix_subtract_exp (T1,T2);
matrix_subtract_exp (
const LHS& lhs_,
const RHS& rhs_
) :
lhs(lhs_),
rhs(rhs_)
{
// You can only subtract one matrix from another if they both have the same number of rows and columns.
COMPILE_TIME_ASSERT(LHS::NR == RHS::NR || LHS::NR == 0 || RHS::NR == 0);
COMPILE_TIME_ASSERT(LHS::NC == RHS::NC || LHS::NC == 0 || RHS::NC == 0);
DLIB_ASSERT(lhs.nc() == rhs.nc() &&
lhs.nr() == rhs.nr(),
"\tconst matrix_exp operator-(const matrix_exp& lhs, const matrix_exp& rhs)"
<< "\n\tYou are trying to subtract two incompatible matrices"
<< "\n\tlhs.nr(): " << lhs.nr()
<< "\n\tlhs.nc(): " << lhs.nc()
<< "\n\trhs.nr(): " << rhs.nr()
<< "\n\trhs.nc(): " << rhs.nc()
<< "\n\t&lhs: " << &lhs
<< "\n\t&rhs: " << &rhs
);
// You can only subtract one matrix from another if they both contain elements of the same type.
COMPILE_TIME_ASSERT((is_same_type<typename LHS::type, typename RHS::type>::value == true));
}
const type operator() (
long r,
long c
) const { return lhs(r,c) - rhs(r,c); }
inline const type operator() ( long i ) const
{ return matrix_exp<matrix_subtract_exp>::operator()(i); }
template <typename U>
bool aliases (
const matrix_exp<U>& item
) const { return lhs.aliases(item) || rhs.aliases(item); }
template <typename U>
bool destructively_aliases (
const matrix_exp<U>& item
) const { return lhs.destructively_aliases(item) || rhs.destructively_aliases(item); }
long nr (
) const { return lhs.nr(); }
long nc (
) const { return lhs.nc(); }
const LHS& lhs;
const RHS& rhs;
};
template <
typename EXP1,
typename EXP2
>
inline const matrix_subtract_exp<EXP1, EXP2> operator- (
const matrix_exp<EXP1>& m1,
const matrix_exp<EXP2>& m2
)
{
return matrix_subtract_exp<EXP1, EXP2>(m1.ref(),m2.ref());
}
// ----------------------------------------------------------------------------------------
template <typename M>
class matrix_div_scal_exp;
template <typename M>
struct matrix_traits<matrix_div_scal_exp<M> >
{
typedef typename M::type type;
typedef typename M::type const_ret_type;
typedef typename M::mem_manager_type mem_manager_type;
typedef typename M::layout_type layout_type;
const static long NR = M::NR;
const static long NC = M::NC;
const static long cost = M::cost+1;
};
template <
typename M
>
class matrix_div_scal_exp : public matrix_exp<matrix_div_scal_exp<M> >
{
/*!
REQUIREMENTS ON M
- must be a matrix_exp object.
!*/
public:
typedef typename matrix_traits<matrix_div_scal_exp>::type type;
typedef typename matrix_traits<matrix_div_scal_exp>::const_ret_type const_ret_type;
typedef typename matrix_traits<matrix_div_scal_exp>::mem_manager_type mem_manager_type;
const static long NR = matrix_traits<matrix_div_scal_exp>::NR;
const static long NC = matrix_traits<matrix_div_scal_exp>::NC;
const static long cost = matrix_traits<matrix_div_scal_exp>::cost;
typedef typename matrix_traits<matrix_div_scal_exp>::layout_type layout_type;
// This constructor exists simply for the purpose of causing a compile time error if
// someone tries to create an instance of this object with the wrong kind of objects.
template <typename T1>
matrix_div_scal_exp (T1, const type&);
matrix_div_scal_exp (
const M& m_,
const type& s_
) :
m(m_),
s(s_)
{}
const type operator() (
long r,
long c
) const { return m(r,c)/s; }
inline const type operator() ( long i ) const
{ return matrix_exp<matrix_div_scal_exp>::operator()(i); }
template <typename U>
bool aliases (
const matrix_exp<U>& item
) const { return m.aliases(item); }
template <typename U>
bool destructively_aliases (
const matrix_exp<U>& item
) const { return m.destructively_aliases(item); }
long nr (
) const { return m.nr(); }
long nc (
) const { return m.nc(); }
const M& m;
const type s;
};
template <
typename EXP,
typename S
>
inline const typename enable_if_c<std::numeric_limits<typename EXP::type>::is_integer, matrix_div_scal_exp<EXP> >::type operator/ (
const matrix_exp<EXP>& m,
const S& s
)
{
return matrix_div_scal_exp<EXP>(m.ref(),static_cast<typename EXP::type>(s));
}
// ----------------------------------------------------------------------------------------
template <typename M, bool use_reference >
struct matrix_traits<matrix_mul_scal_exp<M,use_reference> >
{
typedef typename M::type type;
typedef typename M::type const_ret_type;
typedef typename M::mem_manager_type mem_manager_type;
typedef typename M::layout_type layout_type;
const static long NR = M::NR;
const static long NC = M::NC;
const static long cost = M::cost+1;
};
template <typename T, bool is_ref> struct conditional_reference { typedef T type; };
template <typename T> struct conditional_reference<T,true> { typedef T& type; };
template <
typename M,
bool use_reference
>
class matrix_mul_scal_exp : public matrix_exp<matrix_mul_scal_exp<M,use_reference> >
{
/*!
REQUIREMENTS ON M
- must be a matrix_exp object.
!*/
public:
typedef typename matrix_traits<matrix_mul_scal_exp>::type type;
typedef typename matrix_traits<matrix_mul_scal_exp>::const_ret_type const_ret_type;
typedef typename matrix_traits<matrix_mul_scal_exp>::mem_manager_type mem_manager_type;
const static long NR = matrix_traits<matrix_mul_scal_exp>::NR;
const static long NC = matrix_traits<matrix_mul_scal_exp>::NC;
const static long cost = matrix_traits<matrix_mul_scal_exp>::cost;
typedef typename matrix_traits<matrix_mul_scal_exp>::layout_type layout_type;
// You aren't allowed to multiply a matrix of matrices by a scalar.
COMPILE_TIME_ASSERT(is_matrix<type>::value == false);
// This constructor exists simply for the purpose of causing a compile time error if
// someone tries to create an instance of this object with the wrong kind of objects.
template <typename T1>
matrix_mul_scal_exp (T1, const type&);
matrix_mul_scal_exp (
const M& m_,
const type& s_
) :
m(m_),
s(s_)
{}
const type operator() (
long r,
long c
) const { return m(r,c)*s; }
inline const type operator() ( long i ) const
{ return matrix_exp<matrix_mul_scal_exp>::operator()(i); }
template <typename U>
bool aliases (
const matrix_exp<U>& item
) const { return m.aliases(item); }
template <typename U>
bool destructively_aliases (
const matrix_exp<U>& item
) const { return m.destructively_aliases(item); }
long nr (
) const { return m.nr(); }
long nc (
) const { return m.nc(); }
typedef typename conditional_reference<const M,use_reference>::type M_ref_type;
M_ref_type m;
const type s;
};
template <
typename EXP,
typename S
>
inline typename disable_if<is_matrix<S>, const matrix_mul_scal_exp<EXP> >::type operator* (
const matrix_exp<EXP>& m,
const S& s
)
{
typedef typename EXP::type type;
return matrix_mul_scal_exp<EXP>(m.ref(),static_cast<type>(s));
}
template <
typename EXP,
typename S,
bool B
>
inline typename disable_if<is_matrix<S>, const matrix_mul_scal_exp<EXP> >::type operator* (
const matrix_mul_scal_exp<EXP,B>& m,
const S& s
)
{
typedef typename EXP::type type;
return matrix_mul_scal_exp<EXP>(m.m,static_cast<type>(s)*m.s);
}
template <
typename EXP,
typename S
>
inline typename disable_if<is_matrix<S>, const matrix_mul_scal_exp<EXP> >::type operator* (
const S& s,
const matrix_exp<EXP>& m
)
{
typedef typename EXP::type type;
return matrix_mul_scal_exp<EXP>(m.ref(),static_cast<type>(s));
}
template <
typename EXP,
typename S,
bool B
>
inline typename disable_if<is_matrix<S>, const matrix_mul_scal_exp<EXP> >::type operator* (
const S& s,
const matrix_mul_scal_exp<EXP,B>& m
)
{
typedef typename EXP::type type;
return matrix_mul_scal_exp<EXP>(m.m,static_cast<type>(s)*m.s);
}
template <
typename EXP ,
typename S
>
inline const typename disable_if_c<std::numeric_limits<typename EXP::type>::is_integer, matrix_mul_scal_exp<EXP> >::type operator/ (
const matrix_exp<EXP>& m,
const S& s
)
{
typedef typename EXP::type type;
const type one = 1;
return matrix_mul_scal_exp<EXP>(m.ref(),one/static_cast<type>(s));
}
template <
typename EXP,
bool B,
typename S
>
inline const typename disable_if_c<std::numeric_limits<typename EXP::type>::is_integer, matrix_mul_scal_exp<EXP> >::type operator/ (
const matrix_mul_scal_exp<EXP,B>& m,
const S& s
)
{
typedef typename EXP::type type;
return matrix_mul_scal_exp<EXP>(m.m,m.s/static_cast<type>(s));
}
// ----------------------------------------------------------------------------------------
template <typename M>
struct op_s_div_m : basic_op_m<M>
{
typedef typename M::type type;
op_s_div_m( const M& m_, const type& s_) : basic_op_m<M>(m_), s(s_){}
const type s;
const static long cost = M::cost+1;
typedef const typename M::type const_ret_type;
const_ret_type apply (long r, long c) const
{
return s/this->m(r,c);
}
};
template <
typename EXP,
typename S
>
const typename disable_if<is_matrix<S>, matrix_op<op_s_div_m<EXP> > >::type operator/ (
const S& val,
const matrix_exp<EXP>& m
)
{
typedef typename EXP::type type;
typedef op_s_div_m<EXP> op;
return matrix_op<op>(op(m.ref(), static_cast<type>(val)));
}
// ----------------------------------------------------------------------------------------
template <
typename EXP
>
inline const matrix_mul_scal_exp<EXP> operator- (
const matrix_exp<EXP>& m
)
{
return matrix_mul_scal_exp<EXP>(m.ref(),-1);
}
template <
typename EXP,
bool B
>
inline const matrix_mul_scal_exp<EXP> operator- (
const matrix_mul_scal_exp<EXP,B>& m
)
{
return matrix_mul_scal_exp<EXP>(m.m,-1*m.s);
}
// ----------------------------------------------------------------------------------------
template <typename M>
struct op_add_scalar : basic_op_m<M>
{
typedef typename M::type type;
op_add_scalar( const M& m_, const type& s_) : basic_op_m<M>(m_), s(s_){}
const type s;
const static long cost = M::cost+1;
typedef const typename M::type const_ret_type;
const_ret_type apply (long r, long c) const
{
return this->m(r,c) + s;
}
};
template <
typename EXP,
typename T
>
const typename disable_if<is_matrix<T>, matrix_op<op_add_scalar<EXP> > >::type operator+ (
const matrix_exp<EXP>& m,
const T& val
)
{
typedef typename EXP::type type;
typedef op_add_scalar<EXP> op;
return matrix_op<op>(op(m.ref(), static_cast<type>(val)));
}
template <
typename EXP,
typename T
>
const typename disable_if<is_matrix<T>, matrix_op<op_add_scalar<EXP> > >::type operator+ (
const T& val,
const matrix_exp<EXP>& m
)
{
typedef typename EXP::type type;
typedef op_add_scalar<EXP> op;
return matrix_op<op>(op(m.ref(), static_cast<type>(val)));
}
// ----------------------------------------------------------------------------------------
template <typename M>
struct op_subl_scalar : basic_op_m<M>
{
typedef typename M::type type;
op_subl_scalar( const M& m_, const type& s_) : basic_op_m<M>(m_), s(s_){}
const type s;
const static long cost = M::cost+1;
typedef const typename M::type const_ret_type;
const_ret_type apply (long r, long c) const
{
return s - this->m(r,c) ;
}
};
template <
typename EXP,
typename T
>
const typename disable_if<is_matrix<T>, matrix_op<op_subl_scalar<EXP> > >::type operator- (
const T& val,
const matrix_exp<EXP>& m
)
{
typedef typename EXP::type type;
typedef op_subl_scalar<EXP> op;
return matrix_op<op>(op(m.ref(), static_cast<type>(val)));
}
// ----------------------------------------------------------------------------------------
template <typename M>
struct op_subr_scalar : basic_op_m<M>
{
typedef typename M::type type;
op_subr_scalar( const M& m_, const type& s_) : basic_op_m<M>(m_), s(s_){}
const type s;
const static long cost = M::cost+1;
typedef const typename M::type const_ret_type;
const_ret_type apply (long r, long c) const
{
return this->m(r,c) - s;
}
};
template <
typename EXP,
typename T
>
const typename disable_if<is_matrix<T>, matrix_op<op_subr_scalar<EXP> > >::type operator- (
const matrix_exp<EXP>& m,
const T& val
)
{
typedef typename EXP::type type;
typedef op_subr_scalar<EXP> op;
return matrix_op<op>(op(m.ref(), static_cast<type>(val)));
}
// ----------------------------------------------------------------------------------------
template <
typename EXP1,
typename EXP2
>
bool operator== (
const matrix_exp<EXP1>& m1,
const matrix_exp<EXP2>& m2
)
{
if (m1.nr() == m2.nr() && m1.nc() == m2.nc())
{
for (long r = 0; r < m1.nr(); ++r)
{
for (long c = 0; c < m1.nc(); ++c)
{
if (m1(r,c) != m2(r,c))
return false;
}
}
return true;
}
return false;
}
template <
typename EXP1,
typename EXP2
>
inline bool operator!= (
const matrix_exp<EXP1>& m1,
const matrix_exp<EXP2>& m2
) { return !(m1 == m2); }
// ----------------------------------------------------------------------------------------
// ----------------------------------------------------------------------------------------
// ----------------------------------------------------------------------------------------
template <
typename T,
long num_rows,
long num_cols,
typename mem_manager,
typename layout
>
struct matrix_traits<matrix<T,num_rows, num_cols, mem_manager, layout> >
{
typedef T type;
typedef const T& const_ret_type;
typedef mem_manager mem_manager_type;
typedef layout layout_type;
const static long NR = num_rows;
const static long NC = num_cols;
const static long cost = 1;
};
template <
typename T,
long num_rows,
long num_cols,
typename mem_manager,
typename layout
>
class matrix : public matrix_exp<matrix<T,num_rows,num_cols, mem_manager,layout> >
{
COMPILE_TIME_ASSERT(num_rows >= 0 && num_cols >= 0);
public:
typedef typename matrix_traits<matrix>::type type;
typedef typename matrix_traits<matrix>::const_ret_type const_ret_type;
typedef typename matrix_traits<matrix>::mem_manager_type mem_manager_type;
typedef typename matrix_traits<matrix>::layout_type layout_type;
const static long NR = matrix_traits<matrix>::NR;
const static long NC = matrix_traits<matrix>::NC;
const static long cost = matrix_traits<matrix>::cost;
typedef T* iterator;
typedef const T* const_iterator;
matrix ()
{
}
explicit matrix (
long length
)
{
// This object you are trying to call matrix(length) on is not a column or
// row vector.
COMPILE_TIME_ASSERT(NR == 1 || NC == 1);
DLIB_ASSERT( length >= 0,
"\tmatrix::matrix(length)"
<< "\n\tlength must be at least 0"
<< "\n\tlength: " << length
<< "\n\tNR: " << NR
<< "\n\tNC: " << NC
<< "\n\tthis: " << this
);
if (NR == 1)
{
DLIB_ASSERT(NC == 0 || NC == length,
"\tmatrix::matrix(length)"
<< "\n\tSince this is a statically sized matrix length must equal NC"
<< "\n\tlength: " << length
<< "\n\tNR: " << NR
<< "\n\tNC: " << NC
<< "\n\tthis: " << this
);
data.set_size(1,length);
}
else
{
DLIB_ASSERT(NR == 0 || NR == length,
"\tvoid matrix::set_size(length)"
<< "\n\tSince this is a statically sized matrix length must equal NR"
<< "\n\tlength: " << length
<< "\n\tNR: " << NR
<< "\n\tNC: " << NC
<< "\n\tthis: " << this
);
data.set_size(length,1);
}
}
matrix (
long rows,
long cols
)
{
DLIB_ASSERT( (NR == 0 || NR == rows) && ( NC == 0 || NC == cols) &&
rows >= 0 && cols >= 0,
"\tvoid matrix::matrix(rows, cols)"
<< "\n\tYou have supplied conflicting matrix dimensions"
<< "\n\trows: " << rows
<< "\n\tcols: " << cols
<< "\n\tNR: " << NR
<< "\n\tNC: " << NC
);
data.set_size(rows,cols);
}
template <typename EXP>
matrix (
const matrix_exp<EXP>& m
)
{
// You get an error on this line if the matrix m contains a type that isn't
// the same as the type contained in the target matrix.
COMPILE_TIME_ASSERT((is_same_type<typename EXP::type,type>::value == true) ||
(is_matrix<typename EXP::type>::value == true));
// The matrix you are trying to assign m to is a statically sized matrix and
// m's dimensions don't match that of *this.
COMPILE_TIME_ASSERT(EXP::NR == NR || NR == 0 || EXP::NR == 0);
COMPILE_TIME_ASSERT(EXP::NC == NC || NC == 0 || EXP::NC == 0);
DLIB_ASSERT((NR == 0 || NR == m.nr()) && (NC == 0 || NC == m.nc()),
"\tmatrix& matrix::matrix(const matrix_exp& m)"
<< "\n\tYou are trying to assign a dynamically sized matrix to a statically sized matrix with the wrong size"
<< "\n\tNR: " << NR
<< "\n\tNC: " << NC
<< "\n\tm.nr(): " << m.nr()
<< "\n\tm.nc(): " << m.nc()
<< "\n\tthis: " << this
);
data.set_size(m.nr(),m.nc());
matrix_assign(*this, m);
}
matrix (
const matrix& m
) : matrix_exp<matrix>(*this)
{
data.set_size(m.nr(),m.nc());
matrix_assign(*this, m);
}
template <typename U, size_t len>
explicit matrix (
U (&array)[len]
)
{
COMPILE_TIME_ASSERT(NR*NC == len && len > 0);
size_t idx = 0;
for (long r = 0; r < NR; ++r)
{
for (long c = 0; c < NC; ++c)
{
data(r,c) = static_cast<T>(array[idx]);
++idx;
}
}
}
T& operator() (
long r,
long c
)
{
DLIB_ASSERT(r < nr() && c < nc() &&
r >= 0 && c >= 0,
"\tT& matrix::operator(r,c)"
<< "\n\tYou must give a valid row and column"
<< "\n\tr: " << r
<< "\n\tc: " << c
<< "\n\tnr(): " << nr()
<< "\n\tnc(): " << nc()
<< "\n\tthis: " << this
);
return data(r,c);
}
const T& operator() (
long r,
long c
) const
{
DLIB_ASSERT(r < nr() && c < nc() &&
r >= 0 && c >= 0,
"\tconst T& matrix::operator(r,c)"
<< "\n\tYou must give a valid row and column"
<< "\n\tr: " << r
<< "\n\tc: " << c
<< "\n\tnr(): " << nr()
<< "\n\tnc(): " << nc()
<< "\n\tthis: " << this
);
return data(r,c);
}
T& operator() (
long i
)
{
// You can only use this operator on column vectors.
COMPILE_TIME_ASSERT(NC == 1 || NC == 0 || NR == 1 || NR == 0);
DLIB_ASSERT(nc() == 1 || nr() == 1,
"\tconst type matrix::operator(i)"
<< "\n\tYou can only use this operator on column or row vectors"
<< "\n\ti: " << i
<< "\n\tnr(): " << nr()
<< "\n\tnc(): " << nc()
<< "\n\tthis: " << this
);
DLIB_ASSERT( 0 <= i && i < size(),
"\tconst type matrix::operator(i)"
<< "\n\tYou must give a valid row/column number"
<< "\n\ti: " << i
<< "\n\tsize(): " << size()
<< "\n\tthis: " << this
);
return data(i);
}
const T& operator() (
long i
) const
{
// You can only use this operator on column vectors.
COMPILE_TIME_ASSERT(NC == 1 || NC == 0 || NR == 1 || NR == 0);
DLIB_ASSERT(nc() == 1 || nr() == 1,
"\tconst type matrix::operator(i)"
<< "\n\tYou can only use this operator on column or row vectors"
<< "\n\ti: " << i
<< "\n\tnr(): " << nr()
<< "\n\tnc(): " << nc()
<< "\n\tthis: " << this
);
DLIB_ASSERT( 0 <= i && i < size(),
"\tconst type matrix::operator(i)"
<< "\n\tYou must give a valid row/column number"
<< "\n\ti: " << i
<< "\n\tsize(): " << size()
<< "\n\tthis: " << this
);
return data(i);
}
inline operator const type (
) const
{
COMPILE_TIME_ASSERT(NC == 1 || NC == 0);
COMPILE_TIME_ASSERT(NR == 1 || NR == 0);
DLIB_ASSERT( nr() == 1 && nc() == 1 ,
"\tmatrix::operator const type"
<< "\n\tYou can only attempt to implicit convert a matrix to a scalar if"
<< "\n\tthe matrix is a 1x1 matrix"
<< "\n\tnr(): " << nr()
<< "\n\tnc(): " << nc()
<< "\n\tthis: " << this
);
return data(0);
}
void set_size (
long rows,
long cols
)
{
DLIB_ASSERT( (NR == 0 || NR == rows) && ( NC == 0 || NC == cols) &&
rows >= 0 && cols >= 0,
"\tvoid matrix::set_size(rows, cols)"
<< "\n\tYou have supplied conflicting matrix dimensions"
<< "\n\trows: " << rows
<< "\n\tcols: " << cols
<< "\n\tNR: " << NR
<< "\n\tNC: " << NC
<< "\n\tthis: " << this
);
if (nr() != rows || nc() != cols)
data.set_size(rows,cols);
}
void set_size (
long length
)
{
// This object you are trying to call set_size(length) on is not a column or
// row vector.
COMPILE_TIME_ASSERT(NR == 1 || NC == 1);
DLIB_ASSERT( length >= 0,
"\tvoid matrix::set_size(length)"
<< "\n\tlength must be at least 0"
<< "\n\tlength: " << length
<< "\n\tNR: " << NR
<< "\n\tNC: " << NC
<< "\n\tthis: " << this
);
if (NR == 1)
{
DLIB_ASSERT(NC == 0 || NC == length,
"\tvoid matrix::set_size(length)"
<< "\n\tSince this is a statically sized matrix length must equal NC"
<< "\n\tlength: " << length
<< "\n\tNR: " << NR
<< "\n\tNC: " << NC
<< "\n\tthis: " << this
);
if (nc() != length)
data.set_size(1,length);
}
else
{
DLIB_ASSERT(NR == 0 || NR == length,
"\tvoid matrix::set_size(length)"
<< "\n\tSince this is a statically sized matrix length must equal NR"
<< "\n\tlength: " << length
<< "\n\tNR: " << NR
<< "\n\tNC: " << NC
<< "\n\tthis: " << this
);
if (nr() != length)
data.set_size(length,1);
}
}
long nr (
) const { return data.nr(); }
long nc (
) const { return data.nc(); }
long size (
) const { return data.nr()*data.nc(); }
template <typename U, size_t len>
matrix& operator= (
U (&array)[len]
)
{
COMPILE_TIME_ASSERT(NR*NC == len && len > 0);
size_t idx = 0;
for (long r = 0; r < NR; ++r)
{
for (long c = 0; c < NC; ++c)
{
data(r,c) = static_cast<T>(array[idx]);
++idx;
}
}
return *this;
}
template <typename EXP>
matrix& operator= (
const matrix_exp<EXP>& m
)
{
// You get an error on this line if the matrix you are trying to
// assign m to is a statically sized matrix and m's dimensions don't
// match that of *this.
COMPILE_TIME_ASSERT(EXP::NR == NR || NR == 0 || EXP::NR == 0);
COMPILE_TIME_ASSERT(EXP::NC == NC || NC == 0 || EXP::NC == 0);
DLIB_ASSERT((NR == 0 || nr() == m.nr()) &&
(NC == 0 || nc() == m.nc()),
"\tmatrix& matrix::operator=(const matrix_exp& m)"
<< "\n\tYou are trying to assign a dynamically sized matrix to a statically sized matrix with the wrong size"
<< "\n\tnr(): " << nr()
<< "\n\tnc(): " << nc()
<< "\n\tm.nr(): " << m.nr()
<< "\n\tm.nc(): " << m.nc()
<< "\n\tthis: " << this
);
// You get an error on this line if the matrix m contains a type that isn't
// the same as the type contained in the target matrix.
COMPILE_TIME_ASSERT((is_same_type<typename EXP::type,type>::value == true) ||
(is_matrix<typename EXP::type>::value == true));
if (m.destructively_aliases(*this) == false)
{
// This if statement is seemingly unnecessary since set_size() contains this
// exact same if statement. However, structuring the code this way causes
// gcc to handle the way it inlines this function in a much more favorable way.
if (data.nr() == m.nr() && data.nc() == m.nc())
{
matrix_assign(*this, m);
}
else
{
set_size(m.nr(),m.nc());
matrix_assign(*this, m);
}
}
else
{
// we have to use a temporary matrix object here because
// *this is aliased inside the matrix_exp m somewhere.
matrix temp;
temp.set_size(m.nr(),m.nc());
matrix_assign(temp, m);
temp.swap(*this);
}
return *this;
}
template <typename EXP>
matrix& operator += (
const matrix_exp<EXP>& m
)
{
// The matrix you are trying to assign m to is a statically sized matrix and
// m's dimensions don't match that of *this.
COMPILE_TIME_ASSERT(EXP::NR == NR || NR == 0 || EXP::NR == 0);
COMPILE_TIME_ASSERT(EXP::NC == NC || NC == 0 || EXP::NC == 0);
COMPILE_TIME_ASSERT((is_same_type<typename EXP::type,type>::value == true));
if (nr() == m.nr() && nc() == m.nc())
{
if (m.destructively_aliases(*this) == false)
{
matrix_assign(*this, *this + m);
}
else
{
// we have to use a temporary matrix object here because
// this->data is aliased inside the matrix_exp m somewhere.
matrix temp;
temp.set_size(m.nr(),m.nc());
matrix_assign(temp, *this + m);
temp.swap(*this);
}
}
else
{
*this = m;
}
return *this;
}
template <typename EXP>
matrix& operator -= (
const matrix_exp<EXP>& m
)
{
// The matrix you are trying to assign m to is a statically sized matrix and
// m's dimensions don't match that of *this.
COMPILE_TIME_ASSERT(EXP::NR == NR || NR == 0 || EXP::NR == 0);
COMPILE_TIME_ASSERT(EXP::NC == NC || NC == 0 || EXP::NC == 0);
COMPILE_TIME_ASSERT((is_same_type<typename EXP::type,type>::value == true));
if (nr() == m.nr() && nc() == m.nc())
{
if (m.destructively_aliases(*this) == false)
{
matrix_assign(*this, *this - m);
}
else
{
// we have to use a temporary matrix object here because
// this->data is aliased inside the matrix_exp m somewhere.
matrix temp;
temp.set_size(m.nr(),m.nc());
matrix_assign(temp, *this - m);
temp.swap(*this);
}
}
else
{
*this = -m;
}
return *this;
}
template <typename EXP>
matrix& operator *= (
const matrix_exp<EXP>& m
)
{
*this = *this * m;
return *this;
}
matrix& operator += (
const matrix& m
)
{
const long size = m.nr()*m.nc();
if (nr() == m.nr() && nc() == m.nc())
{
for (long i = 0; i < size; ++i)
data(i) += m.data(i);
}
else
{
set_size(m.nr(), m.nc());
for (long i = 0; i < size; ++i)
data(i) = m.data(i);
}
return *this;
}
matrix& operator -= (
const matrix& m
)
{
const long size = m.nr()*m.nc();
if (nr() == m.nr() && nc() == m.nc())
{
for (long i = 0; i < size; ++i)
data(i) -= m.data(i);
}
else
{
set_size(m.nr(), m.nc());
for (long i = 0; i < size; ++i)
data(i) = -m.data(i);
}
return *this;
}
matrix& operator += (
const T val
)
{
const long size = nr()*nc();
for (long i = 0; i < size; ++i)
data(i) += val;
return *this;
}
matrix& operator -= (
const T val
)
{
const long size = nr()*nc();
for (long i = 0; i < size; ++i)
data(i) -= val;
return *this;
}
matrix& operator *= (
const T a
)
{
*this = *this * a;
return *this;
}
matrix& operator /= (
const T a
)
{
*this = *this / a;
return *this;
}
matrix& operator= (
const matrix& m
)
{
if (this != &m)
{
set_size(m.nr(),m.nc());
const long size = m.nr()*m.nc();
for (long i = 0; i < size; ++i)
data(i) = m.data(i);
}
return *this;
}
void swap (
matrix& item
)
{
data.swap(item.data);
}
template <typename U>
bool aliases (
const matrix_exp<U>&
) const { return false; }
bool aliases (
const matrix_exp<matrix<T,num_rows,num_cols, mem_manager,layout> >& item
) const { return (this == &item); }
template <typename U>
bool destructively_aliases (
const matrix_exp<U>&
) const { return false; }
iterator begin()
{
if (size() != 0)
return &data(0,0);
else
return 0;
}
iterator end()
{
if (size() != 0)
return &data(0,0)+size();
else
return 0;
}
const_iterator begin() const
{
if (size() != 0)
return &data(0,0);
else
return 0;
}
const_iterator end() const
{
if (size() != 0)
return &data(0,0)+size();
else
return 0;
}
private:
struct literal_assign_helper
{
/*
This struct is a helper struct returned by the operator<<() function below. It is
used primarily to enable us to put DLIB_CASSERT statements on the usage of the
operator<< form of matrix assignment.
*/
literal_assign_helper(const literal_assign_helper& item) : m(item.m), r(item.r), c(item.c), has_been_used(false) {}
explicit literal_assign_helper(matrix* m_): m(m_), r(0), c(0),has_been_used(false) {next();}
~literal_assign_helper()
{
assert(!has_been_used || r == m->nr());
//DLIB_CASSERT(!has_been_used || r == m->nr(),
// "You have used the matrix comma based assignment incorrectly by failing to\n"
// "supply a full set of values for every element of a matrix object.\n");
}
const literal_assign_helper& operator, (
const T& val
) const
{
DLIB_CASSERT(r < m->nr() && c < m->nc(),
"You have used the matrix comma based assignment incorrectly by attempting to\n" <<
"supply more values than there are elements in the matrix object being assigned to.\n\n" <<
"Did you forget to call set_size()?"
<< "\n\t r: " << r
<< "\n\t c: " << c
<< "\n\t m->nr(): " << m->nr()
<< "\n\t m->nc(): " << m->nc());
(*m)(r,c) = val;
next();
has_been_used = true;
return *this;
}
private:
friend class matrix;
void next (
) const
{
++c;
if (c == m->nc())
{
c = 0;
++r;
}
}
matrix* m;
mutable long r;
mutable long c;
mutable bool has_been_used;
};
public:
matrix& operator = (
const literal_assign_helper& val
)
{
*this = *val.m;
return *this;
}
const literal_assign_helper operator = (
const T& val
)
{
// assign the given value to every spot in this matrix
for (long r = 0; r < nr(); ++r)
{
for (long c = 0; c < nc(); ++c)
{
data(r,c) = val;
}
}
// Now return the literal_assign_helper so that the user
// can use the overloaded comma notation to initialize
// the matrix if they want to.
return literal_assign_helper(this);
}
private:
typename layout::template layout<T,NR,NC,mem_manager> data;
};
// ----------------------------------------------------------------------------------------
// ----------------------------------------------------------------------------------------
// ----------------------------------------------------------------------------------------
template <
typename T,
long NR,
long NC,
typename mm,
typename l
>
void swap(
matrix<T,NR,NC,mm,l>& a,
matrix<T,NR,NC,mm,l>& b
) { a.swap(b); }
template <
typename T,
long NR,
long NC,
typename mm,
typename l
>
void serialize (
const matrix<T,NR,NC,mm,l>& item,
std::ostream& out
)
{
try
{
// The reason the serialization is a little funny is because we are trying to
// maintain backwards compatibility with an older serialization format used by
// dlib while also encoding things in a way that lets the array2d and matrix
// objects have compatible serialization formats.
serialize(-item.nr(),out);
serialize(-item.nc(),out);
for (long r = 0; r < item.nr(); ++r)
{
for (long c = 0; c < item.nc(); ++c)
{
serialize(item(r,c),out);
}
}
}
catch (serialization_error& e)
{
throw serialization_error(e.info + "\n while serializing dlib::matrix");
}
}
template <
typename T,
long NR,
long NC,
typename mm,
typename l
>
void deserialize (
matrix<T,NR,NC,mm,l>& item,
std::istream& in
)
{
try
{
long nr, nc;
deserialize(nr,in);
deserialize(nc,in);
// this is the newer serialization format
if (nr < 0 || nc < 0)
{
nr *= -1;
nc *= -1;
}
if (NR != 0 && nr != NR)
throw serialization_error("Error while deserializing a dlib::matrix. Invalid rows");
if (NC != 0 && nc != NC)
throw serialization_error("Error while deserializing a dlib::matrix. Invalid columns");
item.set_size(nr,nc);
for (long r = 0; r < nr; ++r)
{
for (long c = 0; c < nc; ++c)
{
deserialize(item(r,c),in);
}
}
}
catch (serialization_error& e)
{
throw serialization_error(e.info + "\n while deserializing a dlib::matrix");
}
}
template <
typename EXP
>
std::ostream& operator<< (
std::ostream& out,
const matrix_exp<EXP>& m
)
{
using namespace std;
const streamsize old = out.width();
// first figure out how wide we should make each field
string::size_type w = 0;
ostringstream sout;
for (long r = 0; r < m.nr(); ++r)
{
for (long c = 0; c < m.nc(); ++c)
{
sout << m(r,c);
w = std::max(sout.str().size(),w);
sout.str("");
}
}
// now actually print it
for (long r = 0; r < m.nr(); ++r)
{
for (long c = 0; c < m.nc(); ++c)
{
out.width(static_cast<streamsize>(w));
out << m(r,c) << " ";
}
out << "\n";
}
out.width(old);
return out;
}
/*
template <
typename T,
long NR,
long NC,
typename MM,
typename L
>
std::istream& operator>> (
std::istream& in,
matrix<T,NR,NC,MM,L>& m
);
This function is defined inside the matrix_read_from_istream.h file.
*/
// ----------------------------------------------------------------------------------------
class print_matrix_as_csv_helper
{
/*!
This object is used to define an io manipulator for matrix expressions.
In particular, this code allows you to write statements like:
cout << csv << yourmatrix;
and have it print the matrix with commas separating each element.
!*/
public:
print_matrix_as_csv_helper (std::ostream& out_) : out(out_) {}
template <typename EXP>
std::ostream& operator<< (
const matrix_exp<EXP>& m
)
{
for (long r = 0; r < m.nr(); ++r)
{
for (long c = 0; c < m.nc(); ++c)
{
if (c+1 == m.nc())
out << m(r,c) << "\n";
else
out << m(r,c) << ", ";
}
}
return out;
}
private:
std::ostream& out;
};
class print_matrix_as_csv {};
const print_matrix_as_csv csv = print_matrix_as_csv();
inline print_matrix_as_csv_helper operator<< (
std::ostream& out,
const print_matrix_as_csv&
)
{
return print_matrix_as_csv_helper(out);
}
// ----------------------------------------------------------------------------------------
// ----------------------------------------------------------------------------------------
// ----------------------------------------------------------------------------------------
template <typename EXP>
class const_temp_matrix;
template <
typename EXP
>
struct matrix_traits<const_temp_matrix<EXP> >
{
typedef typename EXP::type type;
typedef typename EXP::const_ret_type const_ret_type;
typedef typename EXP::mem_manager_type mem_manager_type;
typedef typename EXP::layout_type layout_type;
const static long NR = EXP::NR;
const static long NC = EXP::NC;
const static long cost = 1;
};
template <typename EXP>
class const_temp_matrix : public matrix_exp<const_temp_matrix<EXP> >, noncopyable
{
public:
typedef typename matrix_traits<const_temp_matrix>::type type;
typedef typename matrix_traits<const_temp_matrix>::const_ret_type const_ret_type;
typedef typename matrix_traits<const_temp_matrix>::mem_manager_type mem_manager_type;
typedef typename matrix_traits<const_temp_matrix>::layout_type layout_type;
const static long NR = matrix_traits<const_temp_matrix>::NR;
const static long NC = matrix_traits<const_temp_matrix>::NC;
const static long cost = matrix_traits<const_temp_matrix>::cost;
const_temp_matrix (
const matrix_exp<EXP>& item
) :
ref_(item.ref())
{}
const_temp_matrix (
const EXP& item
) :
ref_(item)
{}
const_ret_type operator() (
long r,
long c
) const { return ref_(r,c); }
const_ret_type operator() ( long i ) const
{ return ref_(i); }
template <typename U>
bool aliases (
const matrix_exp<U>& item
) const { return ref_.aliases(item); }
template <typename U>
bool destructively_aliases (
const matrix_exp<U>& item
) const { return ref_.destructively_aliases(item); }
long nr (
) const { return ref_.nr(); }
long nc (
) const { return ref_.nc(); }
private:
typename conditional_matrix_temp<const EXP, (EXP::cost <= 1)>::type ref_;
};
// ----------------------------------------------------------------------------------------
}
#ifdef _MSC_VER
// put that warning back to its default setting
#pragma warning(default : 4355)
#endif
#endif // DLIB_MATRIx_