Mercurial > octave
annotate libinterp/corefcn/dot.cc @ 22133:59cadee1c74b
new macros for F77 data types
* f77-fcn.h (F77_DBLE, F77_REAL, F77_DBLE_CMPLX, F77_CMPLX, F77_INT,
F77_INT4, F77_LOGICAL): New macros.
* fortrandemo.cc, __pchip_deriv__.cc, dot.cc, interpreter.cc,
ordschur.cc, qz.cc, CColVector.cc, CMatrix.cc, CNDArray.cc,
CRowVector.cc, CSparse.cc, dColVector.cc, dMatrix.cc, dNDArray.cc,
dRowVector.cc, dSparse.cc, fCColVector.cc, fCMatrix.cc,
fCNDArray.cc, fCRowVector.cc, fColVector.cc, fMatrix.cc,
fNDArray.cc, fRowVector.cc, DASPK.cc, DASRT.cc, DASSL.cc, EIG.cc,
LSODE.cc, Quad.cc, aepbalance.cc, chol.cc, eigs-base.cc, fEIG.cc,
gepbalance.cc, hess.cc, lo-specfun.cc, lu.cc, oct-convn.cc,
oct-rand.cc, qr.cc, qrp.cc, randpoisson.cc, schur.cc, svd.cc:
Use new macros in declarations of Fortran subroutines.
author | John W. Eaton <jwe@octave.org> |
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date | Sun, 17 Jul 2016 12:42:37 -0400 |
parents | 112b20240c87 |
children | 407c66ae1e20 |
rev | line source |
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1 /* |
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2 |
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3 Copyright (C) 2009-2015 VZLU Prague |
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4 |
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5 This file is part of Octave. |
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6 |
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7 Octave is free software; you can redistribute it and/or modify it |
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8 under the terms of the GNU General Public License as published by the |
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9 Free Software Foundation; either version 3 of the License, or (at your |
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10 option) any later version. |
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11 |
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12 Octave is distributed in the hope that it will be useful, but WITHOUT |
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13 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or |
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14 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License |
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15 for more details. |
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16 |
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17 You should have received a copy of the GNU General Public License |
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18 along with Octave; see the file COPYING. If not, see |
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19 <http://www.gnu.org/licenses/>. |
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20 |
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21 */ |
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22 |
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23 #if defined (HAVE_CONFIG_H) |
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24 # include "config.h" |
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25 #endif |
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26 |
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27 #include "f77-fcn.h" |
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28 #include "mx-base.h" |
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29 #include "error.h" |
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30 #include "defun.h" |
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31 #include "parse.h" |
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32 |
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33 extern "C" |
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34 { |
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35 F77_RET_T |
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36 F77_FUNC (ddot3, DDOT3) (const F77_INT&, const F77_INT&, |
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37 const F77_INT&, const F77_DBLE*, |
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38 const F77_DBLE*, F77_DBLE*); |
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39 |
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40 F77_RET_T |
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41 F77_FUNC (sdot3, SDOT3) (const F77_INT&, const F77_INT&, |
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42 const F77_INT&, const F77_REAL*, |
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43 const F77_REAL*, F77_REAL*); |
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44 |
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45 F77_RET_T |
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46 F77_FUNC (zdotc3, ZDOTC3) (const F77_INT&, const F77_INT&, |
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47 const F77_INT&, const F77_DBLE_CMPLX*, |
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48 const F77_DBLE_CMPLX*, F77_DBLE_CMPLX*); |
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49 |
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50 F77_RET_T |
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51 F77_FUNC (cdotc3, CDOTC3) (const F77_INT&, const F77_INT&, |
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52 const F77_INT&, const F77_CMPLX*, |
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53 const F77_CMPLX*, F77_CMPLX*); |
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54 |
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55 F77_RET_T |
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56 F77_FUNC (dmatm3, DMATM3) (const F77_INT&, const F77_INT&, |
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57 const F77_INT&, const F77_INT&, |
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58 const F77_DBLE*, const F77_DBLE*, F77_DBLE*); |
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59 |
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60 F77_RET_T |
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61 F77_FUNC (smatm3, SMATM3) (const F77_INT&, const F77_INT&, |
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62 const F77_INT&, const F77_INT&, |
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63 const F77_REAL*, const F77_REAL*, F77_REAL*); |
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64 |
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65 F77_RET_T |
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66 F77_FUNC (zmatm3, ZMATM3) (const F77_INT&, const F77_INT&, |
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67 const F77_INT&, const F77_INT&, |
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68 const F77_DBLE_CMPLX*, const F77_DBLE_CMPLX*, F77_DBLE_CMPLX*); |
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69 |
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70 F77_RET_T |
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71 F77_FUNC (cmatm3, CMATM3) (const F77_INT&, const F77_INT&, |
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72 const F77_INT&, const F77_INT&, |
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73 const F77_CMPLX*, const F77_CMPLX*, |
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74 F77_CMPLX*); |
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75 } |
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76 |
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77 static void |
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78 get_red_dims (const dim_vector& x, const dim_vector& y, int dim, |
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79 dim_vector& z, octave_idx_type& m, octave_idx_type& n, |
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80 octave_idx_type& k) |
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81 { |
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82 int nd = x.ndims (); |
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83 assert (nd == y.ndims ()); |
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84 z = dim_vector::alloc (nd); |
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85 m = 1, n = 1, k = 1; |
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86 for (int i = 0; i < nd; i++) |
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87 { |
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88 if (i < dim) |
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89 { |
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90 z(i) = x(i); |
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91 m *= x(i); |
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92 } |
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93 else if (i > dim) |
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94 { |
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95 z(i) = x(i); |
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96 n *= x(i); |
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97 } |
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98 else |
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99 { |
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100 k = x(i); |
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101 z(i) = 1; |
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102 } |
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103 } |
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104 } |
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105 |
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106 DEFUN (dot, args, , |
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107 doc: /* -*- texinfo -*- |
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108 @deftypefn {} {} dot (@var{x}, @var{y}, @var{dim}) |
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109 Compute the dot product of two vectors. |
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110 |
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111 If @var{x} and @var{y} are matrices, calculate the dot products along the |
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112 first non-singleton dimension. |
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113 |
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114 If the optional argument @var{dim} is given, calculate the dot products |
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115 along this dimension. |
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116 |
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117 This is equivalent to |
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118 @code{sum (conj (@var{X}) .* @var{Y}, @var{dim})}, |
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119 but avoids forming a temporary array and is faster. When @var{X} and |
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120 @var{Y} are column vectors, the result is equivalent to |
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121 @code{@var{X}' * @var{Y}}. |
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122 @seealso{cross, divergence} |
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123 @end deftypefn */) |
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124 { |
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125 int nargin = args.length (); |
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126 |
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127 if (nargin < 2 || nargin > 3) |
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128 print_usage (); |
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129 |
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130 octave_value retval; |
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131 octave_value argx = args(0); |
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132 octave_value argy = args(1); |
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133 |
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134 if (! argx.is_numeric_type () || ! argy.is_numeric_type ()) |
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135 error ("dot: X and Y must be numeric"); |
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136 |
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137 dim_vector dimx = argx.dims (); |
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138 dim_vector dimy = argy.dims (); |
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139 bool match = dimx == dimy; |
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140 if (! match && nargin == 2 && dimx.is_vector () && dimy.is_vector ()) |
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141 { |
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142 // Change to column vectors. |
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143 dimx = dimx.redim (1); |
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144 argx = argx.reshape (dimx); |
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145 dimy = dimy.redim (1); |
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146 argy = argy.reshape (dimy); |
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147 match = dimx == dimy; |
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148 } |
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149 |
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150 if (! match) |
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151 error ("dot: sizes of X and Y must match"); |
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152 |
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153 int dim; |
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154 if (nargin == 2) |
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155 dim = dimx.first_non_singleton (); |
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156 else |
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157 dim = args(2).int_value (true) - 1; |
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158 |
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159 if (dim < 0) |
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160 error ("dot: DIM must be a valid dimension"); |
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161 |
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162 octave_idx_type m, n, k; |
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163 dim_vector dimz; |
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164 if (argx.is_complex_type () || argy.is_complex_type ()) |
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165 { |
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166 if (argx.is_single_type () || argy.is_single_type ()) |
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167 { |
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168 FloatComplexNDArray x = argx.float_complex_array_value (); |
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169 FloatComplexNDArray y = argy.float_complex_array_value (); |
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170 get_red_dims (dimx, dimy, dim, dimz, m, n, k); |
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171 FloatComplexNDArray z (dimz); |
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172 |
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173 F77_XFCN (cdotc3, CDOTC3, (m, n, k, |
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174 x.data (), y.data (), |
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175 z.fortran_vec ())); |
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176 retval = z; |
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177 } |
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178 else |
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179 { |
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180 ComplexNDArray x = argx.complex_array_value (); |
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181 ComplexNDArray y = argy.complex_array_value (); |
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182 get_red_dims (dimx, dimy, dim, dimz, m, n, k); |
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183 ComplexNDArray z (dimz); |
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184 |
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185 F77_XFCN (zdotc3, ZDOTC3, (m, n, k, |
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186 x.data (), y.data (), |
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187 z.fortran_vec ())); |
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188 retval = z; |
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189 } |
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190 } |
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191 else if (argx.is_float_type () && argy.is_float_type ()) |
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192 { |
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193 if (argx.is_single_type () || argy.is_single_type ()) |
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194 { |
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195 FloatNDArray x = argx.float_array_value (); |
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196 FloatNDArray y = argy.float_array_value (); |
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197 get_red_dims (dimx, dimy, dim, dimz, m, n, k); |
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198 FloatNDArray z (dimz); |
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199 |
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200 F77_XFCN (sdot3, SDOT3, (m, n, k, x.data (), y.data (), |
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201 z.fortran_vec ())); |
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202 retval = z; |
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203 } |
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204 else |
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205 { |
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206 NDArray x = argx.array_value (); |
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207 NDArray y = argy.array_value (); |
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208 get_red_dims (dimx, dimy, dim, dimz, m, n, k); |
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209 NDArray z (dimz); |
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210 |
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211 F77_XFCN (ddot3, DDOT3, (m, n, k, x.data (), y.data (), |
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212 z.fortran_vec ())); |
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213 retval = z; |
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214 } |
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215 } |
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216 else |
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217 { |
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218 // Non-optimized evaluation. |
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219 octave_value_list tmp; |
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220 tmp(1) = dim + 1; |
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221 tmp(0) = do_binary_op (octave_value::op_el_mul, argx, argy); |
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222 |
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223 tmp = feval ("sum", tmp, 1); |
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224 if (! tmp.empty ()) |
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225 retval = tmp(0); |
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226 } |
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227 |
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228 return retval; |
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229 } |
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230 |
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231 /* |
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232 %!assert (dot ([1, 2], [2, 3]), 8) |
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233 |
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234 %!test |
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235 %! x = [2, 1; 2, 1]; |
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236 %! y = [-0.5, 2; 0.5, -2]; |
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237 %! assert (dot (x, y), [0 0]); |
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238 %! assert (dot (single (x), single (y)), single ([0 0])); |
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239 |
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240 %!test |
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241 %! x = [1+i, 3-i; 1-i, 3-i]; |
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242 %! assert (dot (x, x), [4, 20]); |
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243 %! assert (dot (single (x), single (x)), single ([4, 20])); |
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244 |
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245 %!test |
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246 %! x = int8 ([1 2]); |
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247 %! y = int8 ([2 3]); |
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248 %! assert (dot (x, y), 8); |
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249 |
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250 %!test |
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251 %! x = int8 ([1 2; 3 4]); |
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252 %! y = int8 ([5 6; 7 8]); |
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253 %! assert (dot (x, y), [26 44]); |
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254 %! assert (dot (x, y, 2), [17; 53]); |
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255 %! assert (dot (x, y, 3), [5 12; 21 32]); |
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256 |
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257 %% Test input validation |
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258 %!error dot () |
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259 %!error dot (1) |
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260 %!error dot (1,2,3,4) |
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261 %!error <X and Y must be numeric> dot ({1,2}, [3,4]) |
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262 %!error <X and Y must be numeric> dot ([1,2], {3,4}) |
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263 %!error <sizes of X and Y must match> dot ([1 2], [1 2 3]) |
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264 %!error <sizes of X and Y must match> dot ([1 2]', [1 2 3]') |
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265 %!error <sizes of X and Y must match> dot (ones (2,2), ones (2,3)) |
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266 %!error <DIM must be a valid dimension> dot ([1 2], [1 2], 0) |
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267 */ |
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268 |
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269 DEFUN (blkmm, args, , |
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270 doc: /* -*- texinfo -*- |
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271 @deftypefn {} {} blkmm (@var{A}, @var{B}) |
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272 Compute products of matrix blocks. |
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273 |
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274 The blocks are given as 2-dimensional subarrays of the arrays @var{A}, |
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275 @var{B}. The size of @var{A} must have the form @code{[m,k,@dots{}]} and |
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276 size of @var{B} must be @code{[k,n,@dots{}]}. The result is then of size |
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277 @code{[m,n,@dots{}]} and is computed as follows: |
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278 |
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279 @example |
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280 @group |
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281 for i = 1:prod (size (@var{A})(3:end)) |
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282 @var{C}(:,:,i) = @var{A}(:,:,i) * @var{B}(:,:,i) |
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283 endfor |
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284 @end group |
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285 @end example |
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286 @end deftypefn */) |
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287 { |
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288 if (args.length () != 2) |
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289 print_usage (); |
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290 |
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291 octave_value retval; |
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292 |
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293 octave_value argx = args(0); |
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294 octave_value argy = args(1); |
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295 |
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296 if (! argx.is_numeric_type () || ! argy.is_numeric_type ()) |
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297 error ("blkmm: A and B must be numeric"); |
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298 |
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299 const dim_vector dimx = argx.dims (); |
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300 const dim_vector dimy = argy.dims (); |
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301 int nd = dimx.ndims (); |
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302 octave_idx_type m = dimx(0); |
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303 octave_idx_type k = dimx(1); |
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304 octave_idx_type n = dimy(1); |
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305 octave_idx_type np = 1; |
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306 bool match = dimy(0) == k && nd == dimy.ndims (); |
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307 dim_vector dimz = dim_vector::alloc (nd); |
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308 dimz(0) = m; |
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309 dimz(1) = n; |
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310 for (int i = 2; match && i < nd; i++) |
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311 { |
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312 match = match && dimx(i) == dimy(i); |
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313 dimz(i) = dimx(i); |
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314 np *= dimz(i); |
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315 } |
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316 |
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317 if (! match) |
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318 error ("blkmm: A and B dimensions don't match: (%s) and (%s)", |
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319 dimx.str ().c_str (), dimy.str ().c_str ()); |
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320 |
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321 if (argx.is_complex_type () || argy.is_complex_type ()) |
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322 { |
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323 if (argx.is_single_type () || argy.is_single_type ()) |
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324 { |
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325 FloatComplexNDArray x = argx.float_complex_array_value (); |
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326 FloatComplexNDArray y = argy.float_complex_array_value (); |
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327 FloatComplexNDArray z (dimz); |
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328 |
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329 F77_XFCN (cmatm3, CMATM3, (m, n, k, np, |
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330 x.data (), y.data (), |
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331 z.fortran_vec ())); |
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332 retval = z; |
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333 } |
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334 else |
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335 { |
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336 ComplexNDArray x = argx.complex_array_value (); |
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337 ComplexNDArray y = argy.complex_array_value (); |
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338 ComplexNDArray z (dimz); |
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339 |
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340 F77_XFCN (zmatm3, ZMATM3, (m, n, k, np, |
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341 x.data (), y.data (), |
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342 z.fortran_vec ())); |
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343 retval = z; |
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344 } |
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345 } |
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346 else |
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347 { |
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348 if (argx.is_single_type () || argy.is_single_type ()) |
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349 { |
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350 FloatNDArray x = argx.float_array_value (); |
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351 FloatNDArray y = argy.float_array_value (); |
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352 FloatNDArray z (dimz); |
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353 |
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354 F77_XFCN (smatm3, SMATM3, (m, n, k, np, |
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355 x.data (), y.data (), |
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356 z.fortran_vec ())); |
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357 retval = z; |
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358 } |
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359 else |
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360 { |
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361 NDArray x = argx.array_value (); |
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362 NDArray y = argy.array_value (); |
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363 NDArray z (dimz); |
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364 |
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365 F77_XFCN (dmatm3, DMATM3, (m, n, k, np, |
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366 x.data (), y.data (), |
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367 z.fortran_vec ())); |
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368 retval = z; |
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369 } |
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370 } |
9874
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371 |
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372 return retval; |
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373 } |
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374 |
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375 /* |
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376 %!test |
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377 %! x(:,:,1) = [1 2; 3 4]; |
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378 %! x(:,:,2) = [1 1; 1 1]; |
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379 %! z(:,:,1) = [7 10; 15 22]; |
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380 %! z(:,:,2) = [2 2; 2 2]; |
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381 %! assert (blkmm (x,x), z); |
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382 %! assert (blkmm (single (x), single (x)), single (z)); |
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383 %! assert (blkmm (x, single (x)), single (z)); |
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384 |
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385 %!test |
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386 %! x(:,:,1) = [1 2; 3 4]; |
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387 %! x(:,:,2) = [1i 1i; 1i 1i]; |
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388 %! z(:,:,1) = [7 10; 15 22]; |
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389 %! z(:,:,2) = [-2 -2; -2 -2]; |
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390 %! assert (blkmm (x,x), z); |
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391 %! assert (blkmm (single (x), single (x)), single (z)); |
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392 %! assert (blkmm (x, single (x)), single (z)); |
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393 |
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394 %% Test input validation |
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395 %!error blkmm () |
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396 %!error blkmm (1) |
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397 %!error blkmm (1,2,3) |
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398 %!error <A and B dimensions don't match> blkmm (ones (2,2), ones (3,3)) |
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399 %!error <A and B must be numeric> blkmm ({1,2}, [3,4]) |
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400 %!error <A and B must be numeric> blkmm ([3,4], {1,2}) |
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401 */ |
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402 |