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
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
|
import os
import itertools
import importlib
THNN_H_PATH = os.path.join(os.path.dirname(__file__), '..', 'lib', 'THNN.h')
THCUNN_H_PATH = os.path.join(os.path.dirname(__file__), '..', 'lib', 'THCUNN.h')
def _unpickle_backend(backend_name):
import torch._thnn
return torch._thnn.type2backend[backend_name]
class THNNBackendBase(object):
def __init__(self):
self.methods = {}
def __getattr__(self, name):
method = self.methods.get(name, None)
if method is None:
raise NotImplementedError
return method
def register_method(self, name, ctypes_fn):
self.methods[name] = ctypes_fn
@property
def library_state(self):
return 0
def __reduce__(self):
return (_unpickle_backend, (type(self).__name__,))
class Function(object):
def __init__(self, name):
self.name = name
self.arguments = []
def add_argument(self, arg):
assert isinstance(arg, Argument)
self.arguments.append(arg)
def __repr__(self):
return self.name + '(' + ', '.join(map(lambda a: a.__repr__(), self.arguments)) + ')'
class Argument(object):
def __init__(self, _type, name, is_optional):
self.type = _type
self.name = name
self.is_optional = is_optional
def __repr__(self):
return self.type + ' ' + self.name
def parse_header(path):
with open(path, 'r') as f:
lines = f.read().split('\n')
# Remove empty lines and preprocessor directives
lines = filter(lambda l: l and not l.startswith('#'), lines)
# Remove line comments
lines = map(lambda l: l.partition('//'), lines)
# Select line and comment part
lines = map(lambda l: (l[0].strip(), l[2].strip()), lines)
# Remove trailing special signs
lines = map(lambda l: (l[0].rstrip(');').rstrip(','), l[1]), lines)
# Split arguments
lines = map(lambda l: (l[0].split(','), l[1]), lines)
# Flatten lines
new_lines = []
for l, c in lines:
for split in l:
new_lines.append((split, c))
lines = new_lines
del new_lines
# Remove unnecessary whitespace
lines = map(lambda l: (l[0].strip(), l[1]), lines)
# Remove empty lines
lines = filter(lambda l: l[0], lines)
generic_functions = []
for l, c in lines:
if l.startswith('TH_API void THNN_'):
fn_name = l.lstrip('TH_API void THNN_')
if fn_name[0] == '(' and fn_name[-2] == ')':
fn_name = fn_name[1:-2]
else:
fn_name = fn_name[:-1]
generic_functions.append(Function(fn_name))
elif l.startswith('THC_API void THNN_'):
fn_name = l.lstrip('THC_API void THNN_')
if fn_name[0] == '(' and fn_name[-2] == ')':
fn_name = fn_name[1:-2]
else:
fn_name = fn_name[:-1]
generic_functions.append(Function(fn_name))
elif l:
t, name = l.split()
if '*' in name:
t = t + '*'
name = name[1:]
generic_functions[-1].add_argument(Argument(t, name, '[OPTIONAL]' in c))
return generic_functions
def load_backend(t, lib, generic_functions, mixins=tuple()):
backend_name = 'THNN{}Backend'.format(t)
backend = type(backend_name, mixins + (THNNBackendBase,), {})()
for function in generic_functions:
full_fn_name = '{}{}'.format(t, function.name)
fn = getattr(lib, full_fn_name)
backend.register_method(function.name, fn)
return backend
|