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
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
|
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""
create_def_file.py - tool to create a windows def file to export
symbols from tensorflow.dll to enable tf.load_library().
Because the linker allows only 64K symbols to be exported per dll
we filter the symbols down to the essentials. The regular expressions
we use for this are specific to tensorflow.
TODO: this works fine but there is an issue with exporting
'const char * const' and importing it from a user_ops. The problem is
on the importing end and using __declspec(dllimport) works around it.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import io
import os
import re
import sys
import tempfile
from subprocess import Popen, PIPE
# External tools we use that come with visual studio sdk and
# we assume that the caller has the correct PATH to the sdk
UNDNAME = "undname.exe"
DUMPBIN = "dumpbin.exe"
# Exclude if matched
EXCLUDE_RE = re.compile(r"deleting destructor|::internal::")
# Include if matched before exclude
INCLUDEPRE_RE = re.compile(r"tensorflow::internal::LogMessage|" +
r"tensorflow::internal::CheckOpMessageBuilder")
# Include if matched after exclude
INCLUDE_RE = re.compile(r"^(TF_\w*)$|" +
r"tensorflow::|" +
r"functor::|" +
r"perftools::gputools")
def get_args():
"""Parse command line."""
parser = argparse.ArgumentParser()
parser.add_argument("--input", help="input library", required=True)
parser.add_argument("--output", help="output deffile", required=True)
args = parser.parse_args()
return args
def main():
"""main."""
args = get_args()
# Pipe dumpbin to extract all linkable symbols from a lib.
# Good symbols are collected in candidates and also written to
# a temp file.
candidates = []
tmpfile = tempfile.NamedTemporaryFile(mode="w", delete=False)
proc = Popen([DUMPBIN, "/nologo", "/linkermember:1", args.input], stdout=PIPE)
for line in io.TextIOWrapper(proc.stdout, encoding="utf-8"):
cols = line.split()
if len(cols) < 2:
continue
sym = cols[1]
tmpfile.file.write(sym + "\n")
candidates.append(sym)
tmpfile.file.close()
exit_code = proc.wait()
if exit_code != 0:
print("{} failed, exit={}".format(DUMPBIN, exit_code))
return exit_code
# Run the symbols through undname to get their undecorated name
# so we can filter on something readable.
with open(args.output, "w") as def_fp:
# track dupes
taken = set()
# Header for the def file. Since the tensorflow.dll is actually called
# _pywrap_tensorflow.pyd in the python wheel, hint that in the def file.
def_fp.write("LIBRARY _pywrap_tensorflow_internal.pyd\n")
def_fp.write("EXPORTS\n")
def_fp.write("\t ??1OpDef@tensorflow@@UEAA@XZ\n")
# Each symbols returned by undname matches the same position in candidates.
# We compare on undname but use the decorated name from candidates.
dupes = 0
proc = Popen([UNDNAME, tmpfile.name], stdout=PIPE)
for idx, line in enumerate(io.TextIOWrapper(proc.stdout, encoding="utf-8")):
decorated = candidates[idx]
if decorated in taken:
# Symbol is already in output, done.
dupes += 1
continue
if not INCLUDEPRE_RE.search(line):
if EXCLUDE_RE.search(line):
continue
if not INCLUDE_RE.search(line):
continue
def_fp.write("\t" + decorated + "\n")
taken.add(decorated)
exit_code = proc.wait()
if exit_code != 0:
print("{} failed, exit={}".format(UNDNAME, exit_code))
return exit_code
os.unlink(tmpfile.name)
print("symbols={}, taken={}, dupes={}"
.format(len(candidates), len(taken), dupes))
return 0
if __name__ == "__main__":
sys.exit(main())
|
