1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
|
#!/usr/bin/env python3
# encoding: utf-8
"""
AutoVectorise.py
Created by Graham Dennis on 2008-02-07.
Copyright (c) 2008-2012, Graham Dennis
This program 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 2 of the License, or
(at your option) any later version.
This program 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 this program. If not, see <http://www.gnu.org/licenses/>.
"""
from xpdeint.Features._Feature import _Feature
import re
class _AutoVectorise (_Feature):
# Match things of the form someSymbol${someSubstitution}restOfSymbol[${index}]
# where the ${someSubstitution} is optional, and the curly braces around the
# index replacement are also optional.
arrayNameRegex = re.compile(r'\b([a-zA-Z_]\w*(?:\$\{[a-zA-Z0-9_.]+\}\w*)?)(?=\[\$(?:\{index\}|index)\])')
def loopOverVectorsWithInnerContentTemplateModifyTemplate(self, dict):
"""
Modifies the ``templateString`` to add in auto-vectorisation features.
This function is called from `ScriptElement`'s `loopOverVectorsWithInnerContentTemplate`.
"""
templateString = dict['templateString']
if 'UNVECTORISABLE' in templateString:
dict['vectorisable'] = False
return
else:
dict['vectorisable'] = True
# Assert that no-one has touched the loopCountPrefixFunction because I can't
# think of a possible way to make multiple bits of code that want to modify
# this function work safely together. If such a need ever arises, then the
# problem can be solved then, and it will be picked up thanks to this assert.
assert dict['loopCountPrefixFunction'] == None
def loopCountPrefixFunction(vector):
if vector.type == 'complex':
return '2 * '
else:
return ''
dict['loopCountPrefixFunction'] = loopCountPrefixFunction
arrayNames = set(self.arrayNameRegex.findall(templateString))
# Create a template prefix that creates the *_dbl variables
vectorisationPreambleContents = ''.join([' _MAKE_AUTOVEC_VARIABLE(%s);\n' % arrayName for arrayName in arrayNames])
vectorisationPreambleTemplateFunction = ''.join(["@def vectorisationPreamble\n",
vectorisationPreambleContents,
"@end def\n"])
newTemplateString = self.arrayNameRegex.sub(r'_AUTOVEC(\1)', templateString)
dict['templateString'] = newTemplateString
dict['templateFunctions'].append(vectorisationPreambleTemplateFunction)
def loopOverVectorsWithInnerContentTemplateBegin(self, dict):
if not dict['vectorisable']:
return '#pragma novector\n'
else:
dblVariableConstruction = dict['template'].vectorisationPreamble()
dict['extraIndent'] += 2
return ''.join(['{\n',
dblVariableConstruction,
' #pragma ivdep\n'])
def loopOverVectorsWithInnerContentTemplateEnd(self, dict):
if not dict['vectorisable']:
return
else:
dict['extraIndent'] -= 2
return '}\n'
|
