/usr/include/blitz/tv2fastiter.h is in libblitz0-dev 1:0.10-3.3.
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/***************************************************************************
* blitz/array/fastiter.h Declaration of FastArrayIterator<P_numtype,N_rank>
*
* $Id$
*
* Copyright (C) 1997-2011 Todd Veldhuizen <tveldhui@acm.org>
*
* This file is a part of Blitz.
*
* Blitz is free software: you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License
* as published by the Free Software Foundation, either version 3
* of the License, or (at your option) any later version.
*
* Blitz is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with Blitz. If not, see <http://www.gnu.org/licenses/>.
*
* Suggestions: blitz-devel@lists.sourceforge.net
* Bugs: blitz-support@lists.sourceforge.net
*
* For more information, please see the Blitz++ Home Page:
* https://sourceforge.net/projects/blitz/
*
****************************************************************************/
#ifndef BZ_ARRAY_TV2FASTITER_H
#define BZ_ARRAY_TV2FASTITER_H
#include <blitz/blitz.h>
#ifdef BZ_HAVE_STD
#include <sstream>
#else
#include <strstream.h>
#endif
#include <blitz/constpointerstack.h>
#include <blitz/bzdebug.h>
#include <blitz/shapecheck.h>
#include <blitz/prettyprint.h>
#include <blitz/tinyvec2.h>
BZ_NAMESPACE(blitz)
// forward declaration
template<typename, int> class FastTV2Iterator;
template<typename, int> class FastTV2CopyIterator;
template<typename P_numtype, int N_length, typename P_arraytype>
class FastTV2IteratorBase {
public:
typedef P_numtype T_numtype;
typedef typename opType<T_numtype>::T_optype T_optype;
// if T_numtype is POD, then T_result is T_numtype, but if T_numtype
// is an ET class, T_result will be the array class for that class.
typedef typename asET<T_numtype>::T_wrapped T_typeprop;
typedef typename unwrapET<T_typeprop>::T_unwrapped T_result;
/** Result type for fastRead_tv is a FastTVIterator. This is only
used for mixed TV/Array expressions. */
typedef ETBase<FastTV2Iterator<T_numtype,
simdTypes<T_numtype>::vecWidth> > T_tvtypeprop;
typedef typename unwrapET<T_tvtypeprop>::T_unwrapped T_tvresult;
typedef TinyVector<T_numtype, N_length> T_vector;
typedef FastTV2IteratorBase<P_numtype, N_length, P_arraytype> T_iterator;
typedef const T_vector& T_ctorArg1;
typedef int T_ctorArg2; // dummy
typedef FastTV2CopyIterator<P_numtype, N_length> T_range_result;
static const int
numArrayOperands = 0,
numTVOperands = 1,
numTMOperands = 0,
numIndexPlaceholders = 0,
minWidth = simdTypes<T_numtype>::vecWidth,
maxWidth = simdTypes<T_numtype>::vecWidth,
rank_ = 1;
/** For an iterator, the vectorized result for width N is always a
TinyVector<T_numtype, N>. */
template<int N> struct tvresult {
typedef FastTV2Iterator<T_numtype, N> Type;
};
FastTV2IteratorBase(const T_iterator& x)
: data_(x.data_), array_(x.array_)
{ }
void operator=(const T_iterator& x)
{
BZPRECONDITION(0);
// doesn't this copy the data in x.array_ and then make data_
// point to x's array? doesn't seem right
array_ = x.array_;
data_ = x.data_;
stack_ = x.stack_;
//stride_ = x.stride_;
}
FastTV2IteratorBase(const T_vector& array)
: array_(array)
{
data_ = array_.data();
}
~FastTV2IteratorBase()
{ }
T_numtype operator()(int i) const
{ return array_[i]; }
T_result operator()(TinyVector<int,1> i) const
{
BZPRECONDITION(array_.lengthCheck(i[0]));
return array_[i[0]];
}
int ascending(const int r) const
{
BZPRECONDITION(r==0);
return true;
}
int ordering(const int r) const
{
BZPRECONDITION(r==0);
return 0;
}
int lbound(const int r) const
{
BZPRECONDITION(r==0);
return 0;
}
int ubound(const int r) const
{
BZPRECONDITION(r==0);
return N_length-1;
}
//RectDomain<rank_> domain() const { return array_.domain(); };
T_result first_value() const { return *data_; }
T_result operator*() const
{ return *data_; }
T_result operator[](int i) const
{ return data_[i * stride_]; }
T_result fastRead(diffType i) const
{ return array_.fastRead(i); }
template<int N>
typename tvresult<N>::Type fastRead_tv(diffType i) const
{
return typename tvresult<N>::Type(*reinterpret_cast<const TinyVector<T_numtype,N>*>(&data_[i])); }
/** Since data_ is simd aligned by construction, we just have
to check the offest. */
bool isVectorAligned(diffType offset) const
{ return (offset%simdTypes<T_numtype>::vecWidth==0) ? true : false; }
int suggestStride(int r) const
{ BZPRECONDITION(r==0); return stride_; }
bool isStride(int r, diffType stride) const
{ BZPRECONDITION(r==0); return stride==stride_; }
void push(int position)
{
BZPRECONDITION(position==0); stack_[position] = data_;
}
void pop(int position)
{
BZPRECONDITION(position==0); data_ = stack_[position];
}
void advance()
{
data_ += stride_;
}
void advance(int n)
{
data_ += n * stride_;
}
void loadStride(int r)
{
BZPRECONDITION(r==0); //stride_ = 1;
}
// This is used as lvalue, so it should return the actual data
const T_numtype * restrict data() const
{ return data_; }
const T_vector& array() const
{return array_; }
void _bz_setData(const T_numtype* ptr)
{ BZPRECONDITION(0); //data_ = ptr;
}
// this is needed for the stencil expression fastRead to work
void _bz_offsetData(sizeType i)
{ BZPRECONDITION(0); //data_ += i;
}
// and these are needed for stencil expression shift to work
void _bz_offsetData(sizeType offset, int dim)
{ BZPRECONDITION(0); //data_ += offset*array_.stride(dim);
}
void _bz_offsetData(sizeType offset1, int dim1, sizeType offset2, int dim2)
{ BZPRECONDITION(0); //data_ += offset1*array_.stride(dim1);
//data_ += offset2*array_.stride(dim2);
}
int stride() const
{ return stride_; }
bool isUnitStride(int r) const
{ BZPRECONDITION(r==0); return stride_ == 1; }
bool isUnitStride() const
{ return stride_ == 1; }
void advanceUnitStride()
{ ++data_; }
bool canCollapse(int outerLoopRank, int innerLoopRank) const
{
BZPRECONDITION(outerLoopRank==0);
BZPRECONDITION(innerLoopRank==0);
return true;
}
template<typename T_shape>
bool shapeCheck(const T_shape& s) const
{ return areShapesConformable(s, TinyVector<int, rank_>(N_length)); }
/*
// Experimental
T_numtype& operator()(int i) const
{
return (T_numtype&)data_[i*array_.stride(0)];
}
// Experimental
T_numtype& operator()(int i, int j) const
{
return (T_numtype&)data_[i*array_.stride(0) + j*array_.stride(1)];
}
// Experimental
T_numtype& operator()(int i, int j, int k) const
{
return (T_numtype&)data_[i*array_.stride(0)
+ j*array_.stride(1)
+ k*array_.stride(2)];
}
// Experimental
void moveTo(int i)
{
data_ = &const_cast<T_vector&>(array_)(i);
}
void moveTo(int i, int j)
{
data_ = &const_cast<T_vector&>(array_)(i,j);
}
void moveTo(int i, int j, int k)
{
data_ = &const_cast<T_vector&>(array_)(i,j,k);
}
template<int N_rank2>
void moveTo(const TinyVector<int,N_rank2>& i)
{
data_ = &const_cast<T_vector&>(array_)(i);
}
// Experimental
void operator=(T_numtype x)
{ *const_cast<T_numtype*>(data_) = x; }
// Experimental
template<typename T_value>
void operator=(T_value x)
{ *const_cast<T_numtype*>(data_) = x; }
// Experimental
template<typename T_value>
void operator+=(T_value x)
{ *const_cast<T_numtype*>(data_) += x; }
// NEEDS_WORK: other operators
// Experimental
operator T_numtype() const
{ return *data_; }
*/
// Experimental
T_result shift(int offset, int dim) const
{
return data_[offset*array_.stride(dim)];
}
// Experimental
T_result shift(int offset1, int dim1, int offset2, int dim2) const
{
return data_[offset1*array_.stride(dim1)
+ offset2*array_.stride(dim2)];
}
void prettyPrint(BZ_STD_SCOPE(string) &str,
prettyPrintFormat& format) const
{
if (format.tersePrintingSelected())
str += format.nextArrayOperandSymbol();
else if (format.dumpArrayShapesMode())
{
#ifdef BZ_HAVE_STD
BZ_STD_SCOPE(ostringstream) ostr;
#else
ostrstream ostr;
#endif
ostr << array_.shape();
str += ostr.str();
}
else {
str += "TinyVector<";
str += BZ_DEBUG_TEMPLATE_AS_STRING_LITERAL(T_numtype);
str += ",";
char tmpBuf[10];
sprintf(tmpBuf, "%d", N_length);
str += tmpBuf;
str += ">";
}
}
// vectors can't be sliced
template<typename T1, typename T2 = nilArraySection,
class T3 = nilArraySection, typename T4 = nilArraySection,
class T5 = nilArraySection, typename T6 = nilArraySection,
class T7 = nilArraySection, typename T8 = nilArraySection,
class T9 = nilArraySection, typename T10 = nilArraySection,
class T11 = nilArraySection>
class SliceInfo {
public:
typedef void T_slice;
};
protected:
const T_numtype * restrict data_;
P_arraytype array_;
ConstPointerStack<T_numtype,rank_> stack_;
static const diffType stride_=1;
};
template<typename P_numtype, int N_length> class FastTV2CopyIterator;
template<typename P_numtype, int N_length>
class FastTV2Iterator :
public FastTV2IteratorBase<P_numtype, N_length, const TinyVector<P_numtype, N_length>&>
{
public:
typedef FastTV2IteratorBase<P_numtype, N_length,
const TinyVector<P_numtype, N_length>&> T_base;
typedef typename T_base::T_numtype T_numtype;
typedef typename T_base::T_vector T_vector;
typedef typename T_base::T_iterator T_iterator;
typedef typename T_base::T_ctorArg1 T_ctorArg1;
typedef typename T_base::T_ctorArg2 T_ctorArg2;
typedef typename T_base::T_range_result T_range_result;
using T_base::rank_;
using T_base::numArrayOperands;
using T_base::numTVOperands;
using T_base::numTMOperands;
using T_base::numIndexPlaceholders;
// NB: this ctor does NOT preserve stack and stride
// parameters. This is for speed purposes.
FastTV2Iterator(const FastTV2Iterator<P_numtype, N_length>& x)
: T_base(x)
{ }
FastTV2Iterator(const T_vector& array) : T_base(array) {}
using T_base::operator=;
void operator=(const FastTV2Iterator<P_numtype, N_length>& x)
{
T_base::operator=(x);
}
using T_base::operator();
// template<int N>
// T_range_result operator()(const RectDomain<N>& d) const
// {
// return T_range_result(T_base::array_(d));
// }
// template<typename T1, typename T2, typename T3, typename T4, typename T5, typename T6,
// typename T7, typename T8, typename T9, typename T10, typename T11>
// FastTV2CopyIterator<T_numtype, T_base::template SliceInfo<T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11>::T_slice::rank>
// operator()(T1 r1, T2 r2, T3 r3, T4 r4, T5 r5, T6 r6, T7 r7, T8 r8, T9 r9, T10 r10, T11 r11) const
// {
// typedef FastTV2CopyIterator<T_numtype, T_base::template SliceInfo<T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11>::T_slice::rank> slice;
// return slice(array_(r1, r2, r3, r4, r5, r6, r7, r8, r9, r10, r11));
// }
};
/* This version of the FastTV2Iterator makes a COPY of the array
it's pointing to. This makes it possible to return expressions of
arrays that have gone out of scope, or to slice expressions. */
template<typename P_numtype, int N_length>
class FastTV2CopyIterator :
public FastTV2IteratorBase<P_numtype, N_length, const TinyVector<P_numtype, N_length> >
{
public:
typedef FastTV2IteratorBase<P_numtype, N_length,
const TinyVector<P_numtype, N_length> > T_base;
typedef typename T_base::T_numtype T_numtype;
typedef typename T_base::T_vector T_vector;
typedef typename T_base::T_iterator T_iterator;
typedef typename T_base::T_ctorArg1 T_ctorArg1;
typedef typename T_base::T_ctorArg2 T_ctorArg2;
typedef typename T_base::T_range_result T_range_result;
using T_base::rank_;
using T_base::numArrayOperands;
using T_base::numTVOperands;
using T_base::numTMOperands;
using T_base::numIndexPlaceholders;
// NB: this ctor does NOT preserve stack and stride
// parameters. This is for speed purposes.
FastTV2CopyIterator(const FastTV2CopyIterator<P_numtype, N_length>& x)
: T_base(x)
{ }
FastTV2CopyIterator(const T_vector& array) : T_base(array) { }
using T_base::operator=;
void operator=(const FastTV2CopyIterator& x)
{
T_base::operator=(x);
}
using T_base::operator();
// template<int N>
// T_range_result operator()(const RectDomain<N>& d) const
// {
// return T_range_result(T_base::array_(d));
// }
// template<typename T1, typename T2, typename T3, typename T4, typename T5, typename T6,
// typename T7, typename T8, typename T9, typename T10, typename T11>
// FastTV2CopyIterator<T_numtype, T_base::template SliceInfo<T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11>::T_slice::rank>
// operator()(T1 r1, T2 r2, T3 r3, T4 r4, T5 r5, T6 r6, T7 r7, T8 r8, T9 r9, T10 r10, T11 r11) const
// {
// typedef FastTV2CopyIterator<T_numtype, T_base::template SliceInfo<T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11>::T_slice::rank> slice;
// return slice(array_(r1, r2, r3, r4, r5, r6, r7, r8, r9, r10, r11));
// }
};
BZ_NAMESPACE_END
#endif // BZ_ARRAY_FASTITER_H
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