view liboctave/numeric/bsxfun-defs.cc @ 20685:7fa1970a655d

pkg.m: drop check of nargout value, the interpreter already does that. * scripts/pkg/pkg.m: the interpreter already checks if there was any variable that got no value assigned, there's no need to make the code more complicated to cover that. Also, there's no point in calling describe() with different nargout since it doesn't check nargout.
author Carnë Draug <carandraug@octave.org>
date Thu, 03 Sep 2015 16:21:08 +0100
parents 19755f4fc851
children
line wrap: on
line source

/*

Copyright (C) 2009-2015 Jaroslav Hajek
Copyright (C) 2009 VZLU Prague

This file is part of Octave.

Octave is free software; you can redistribute it and/or modify it
under the terms of the GNU General Public License as published by the
Free Software Foundation; either version 3 of the License, or (at your
option) any later version.

Octave 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 General Public License
for more details.

You should have received a copy of the GNU General Public License
along with Octave; see the file COPYING.  If not, see
<http://www.gnu.org/licenses/>.

*/

#if !defined (octave_bsxfun_defs_h)
#define octave_bsxfun_defs_h 1

#include <algorithm>
#include <iostream>

#include "dim-vector.h"
#include "oct-locbuf.h"
#include "lo-error.h"

#include "mx-inlines.cc"

template <class R, class X, class Y>
Array<R>
do_bsxfun_op (const Array<X>& x, const Array<Y>& y,
              void (*op_vv) (size_t, R *, const X *, const Y *),
              void (*op_sv) (size_t, R *, X, const Y *),
              void (*op_vs) (size_t, R *, const X *, Y))
{
  int nd = std::max (x.ndims (), y.ndims ());
  dim_vector dvx = x.dims ().redim (nd);
  dim_vector dvy = y.dims ().redim (nd);

  // Construct the result dimensions.
  dim_vector dvr;
  dvr.resize (nd);
  for (int i = 0; i < nd; i++)
    {
      octave_idx_type xk = dvx(i);
      octave_idx_type yk = dvy(i);
      if (xk == 1)
        dvr(i) = yk;
      else if (yk == 1 || xk == yk)
        dvr(i) = xk;
      else
        {
          (*current_liboctave_error_handler)
            ("bsxfun: nonconformant dimensions: %s and %s",
             x.dims ().str ().c_str (), y.dims ().str ().c_str ());
          break;
        }
    }

  Array<R> retval (dvr);

  const X *xvec = x.fortran_vec ();
  const Y *yvec = y.fortran_vec ();
  R *rvec = retval.fortran_vec ();

  // Fold the common leading dimensions.
  octave_idx_type start, ldr = 1;
  for (start = 0; start < nd; start++)
    {
      if (dvx(start) != dvy(start))
        break;
      ldr *= dvr(start);
    }

  if (retval.is_empty ())
    ; // do nothing
  else if (start == nd)
    op_vv (retval.numel (), rvec, xvec, yvec);
  else
    {
      // Determine the type of the low-level loop.
      bool xsing = false;
      bool ysing = false;
      if (ldr == 1)
        {
          xsing = dvx(start) == 1;
          ysing = dvy(start) == 1;
          if (xsing || ysing)
            {
              ldr *= dvx(start) * dvy(start);
              start++;
            }
        }
      dim_vector cdvx = dvx.cumulative ();
      dim_vector cdvy = dvy.cumulative ();
      // Nullify singleton dims to achieve a spread effect.
      for (int i = std::max (start, octave_idx_type (1)); i < nd; i++)
        {
          if (dvx(i) == 1)
            cdvx(i-1) = 0;
          if (dvy(i) == 1)
            cdvy(i-1) = 0;
        }

      octave_idx_type niter = dvr.numel (start);
      // The index array.
      OCTAVE_LOCAL_BUFFER_INIT (octave_idx_type, idx, nd, 0);
      for (octave_idx_type iter = 0; iter < niter; iter++)
        {
          octave_quit ();

          // Compute indices.
          // FIXME: performance impact noticeable?
          octave_idx_type xidx = cdvx.cum_compute_index (idx);
          octave_idx_type yidx = cdvy.cum_compute_index (idx);
          octave_idx_type ridx = dvr.compute_index (idx);

          // Apply the low-level loop.
          if (xsing)
            op_sv (ldr, rvec + ridx, xvec[xidx], yvec + yidx);
          else if (ysing)
            op_vs (ldr, rvec + ridx, xvec + xidx, yvec[yidx]);
          else
            op_vv (ldr, rvec + ridx, xvec + xidx, yvec + yidx);

          dvr.increment_index (idx + start, start);
        }
    }

  return retval;
}

template <class R, class X>
void
do_inplace_bsxfun_op (Array<R>& r, const Array<X>& x,
                      void (*op_vv) (size_t, R *, const X *),
                      void (*op_vs) (size_t, R *, X))
{
  dim_vector dvr = r.dims ();
  dim_vector dvx = x.dims ();
  octave_idx_type nd = r.ndims ();
  dvx.redim (nd);

  const X* xvec = x.fortran_vec ();
  R* rvec = r.fortran_vec ();

  // Fold the common leading dimensions.
  octave_idx_type start, ldr = 1;
  for (start = 0; start < nd; start++)
    {
      if (dvr(start) != dvx(start))
        break;
      ldr *= dvr(start);
    }

  if (r.is_empty ())
    ; // do nothing
  else if (start == nd)
    op_vv (r.numel (), rvec, xvec);
  else
    {
      // Determine the type of the low-level loop.
      bool xsing = false;
      if (ldr == 1)
        {
          xsing = dvx(start) == 1;
          if (xsing)
            {
              ldr *= dvr(start) * dvx(start);
              start++;
            }
        }

      dim_vector cdvx = dvx.cumulative ();
      // Nullify singleton dims to achieve a spread effect.
      for (int i = std::max (start, octave_idx_type (1)); i < nd; i++)
        {
          if (dvx(i) == 1)
            cdvx(i-1) = 0;
        }

      octave_idx_type niter = dvr.numel (start);
      // The index array.
      OCTAVE_LOCAL_BUFFER_INIT (octave_idx_type, idx, nd, 0);
      for (octave_idx_type iter = 0; iter < niter; iter++)
        {
          octave_quit ();

          // Compute indices.
          // FIXME: performance impact noticeable?
          octave_idx_type xidx = cdvx.cum_compute_index (idx);
          octave_idx_type ridx = dvr.compute_index (idx);

          // Apply the low-level loop.
          if (xsing)
            op_vs (ldr, rvec + ridx, xvec[xidx]);
          else
            op_vv (ldr, rvec + ridx, xvec + xidx);

          dvr.increment_index (idx + start, start);
        }
    }
}

#define BSXFUN_OP_DEF(OP, ARRAY) \
ARRAY bsxfun_ ## OP (const ARRAY& x, const ARRAY& y)

#define BSXFUN_OP2_DEF(OP, ARRAY, ARRAY1, ARRAY2) \
ARRAY bsxfun_ ## OP (const ARRAY1& x, const ARRAY2& y)

#define BSXFUN_REL_DEF(OP, ARRAY) \
boolNDArray bsxfun_ ## OP (const ARRAY& x, const ARRAY& y)

#define BSXFUN_OP_DEF_MXLOOP(OP, ARRAY, LOOP) \
  BSXFUN_OP_DEF(OP, ARRAY) \
  { return do_bsxfun_op<ARRAY::element_type, ARRAY::element_type, ARRAY::element_type> \
    (x, y, LOOP, LOOP, LOOP); }

#define BSXFUN_OP2_DEF_MXLOOP(OP, ARRAY, ARRAY1, ARRAY2, LOOP) \
  BSXFUN_OP2_DEF(OP, ARRAY, ARRAY1, ARRAY2) \
  { return do_bsxfun_op<ARRAY::element_type, ARRAY1::element_type, ARRAY2::element_type> \
    (x, y, LOOP, LOOP, LOOP); }

#define BSXFUN_REL_DEF_MXLOOP(OP, ARRAY, LOOP) \
  BSXFUN_REL_DEF(OP, ARRAY) \
  { return do_bsxfun_op<bool, ARRAY::element_type, ARRAY::element_type> \
    (x, y, LOOP, LOOP, LOOP); }

#define BSXFUN_STDOP_DEFS_MXLOOP(ARRAY) \
  BSXFUN_OP_DEF_MXLOOP (add, ARRAY, mx_inline_add) \
  BSXFUN_OP_DEF_MXLOOP (sub, ARRAY, mx_inline_sub) \
  BSXFUN_OP_DEF_MXLOOP (mul, ARRAY, mx_inline_mul) \
  BSXFUN_OP_DEF_MXLOOP (div, ARRAY, mx_inline_div) \
  BSXFUN_OP_DEF_MXLOOP (min, ARRAY, mx_inline_xmin) \
  BSXFUN_OP_DEF_MXLOOP (max, ARRAY, mx_inline_xmax)

#define BSXFUN_STDREL_DEFS_MXLOOP(ARRAY) \
  BSXFUN_REL_DEF_MXLOOP (eq, ARRAY, mx_inline_eq) \
  BSXFUN_REL_DEF_MXLOOP (ne, ARRAY, mx_inline_ne) \
  BSXFUN_REL_DEF_MXLOOP (lt, ARRAY, mx_inline_lt) \
  BSXFUN_REL_DEF_MXLOOP (le, ARRAY, mx_inline_le) \
  BSXFUN_REL_DEF_MXLOOP (gt, ARRAY, mx_inline_gt) \
  BSXFUN_REL_DEF_MXLOOP (ge, ARRAY, mx_inline_ge)

//For bsxfun power with mixed integer/float types
#define BSXFUN_POW_MIXED_MXLOOP(INT_TYPE)                              \
  BSXFUN_OP2_DEF_MXLOOP (pow, INT_TYPE, INT_TYPE, NDArray, mx_inline_pow) \
  BSXFUN_OP2_DEF_MXLOOP (pow, INT_TYPE, INT_TYPE, FloatNDArray, mx_inline_pow)\
  BSXFUN_OP2_DEF_MXLOOP (pow, INT_TYPE, NDArray, INT_TYPE,  mx_inline_pow) \
  BSXFUN_OP2_DEF_MXLOOP (pow, INT_TYPE, FloatNDArray, INT_TYPE, mx_inline_pow)

#endif