forked from uber-research/jpeg2dct
-
Notifications
You must be signed in to change notification settings - Fork 0
/
setup.py
299 lines (243 loc) · 11.1 KB
/
setup.py
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
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
# Copyright (c) 2018 Uber Technologies, Inc.
#
# Licensed under the Uber Non-Commercial License (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at the root directory of this project.
#
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import print_function
import os
from setuptools import setup, Extension, find_packages
from setuptools.command.build_ext import build_ext
from distutils.errors import CompileError, DistutilsPlatformError, LinkError
import sys
import textwrap
import traceback
from jpeg2dct import __version__
common_lib = Extension('jpeg2dct.common.common_lib', [])
numpy_lib = Extension('jpeg2dct.numpy._dctfromjpg_wrapper', [])
tf_lib = Extension('jpeg2dct.tensorflow.tf_lib', [])
def check_tf_version():
try:
import tensorflow as tf
if tf.__version__ < '1.1.0':
raise DistutilsPlatformError(
'Your TensorFlow version %s is outdated. '
'Horovod requires tensorflow>=1.1.0' % tf.__version__)
except ImportError:
raise DistutilsPlatformError(
'import tensorflow failed, is it installed?\n\n%s' % traceback.format_exc())
except AttributeError:
# This means that tf.__version__ was not exposed, which makes it *REALLY* old.
raise DistutilsPlatformError(
'Your TensorFlow version is outdated. Horovod requires tensorflow>=1.1.0')
def get_cpp_flags(build_ext):
last_err = None
default_flags = ['-std=c++11', '-fPIC', '-O2']
if sys.platform == 'darwin':
# Darwin most likely will have Clang, which has libc++.
flags_to_try = [default_flags + ['-stdlib=libc++'], default_flags]
else:
flags_to_try = [default_flags, default_flags + ['-stdlib=libc++']]
for cpp_flags in flags_to_try:
try:
test_compile(build_ext, 'test_cpp_flags', extra_preargs=cpp_flags,
code=textwrap.dedent('''\
#include <unordered_map>
void test() {
}
'''))
return cpp_flags
except (CompileError, LinkError):
last_err = 'Unable to determine C++ compilation flags (see error above).'
except Exception:
last_err = 'Unable to determine C++ compilation flags. ' \
'Last error:\n\n%s' % traceback.format_exc()
raise DistutilsPlatformError(last_err)
def get_tf_include_dirs():
import tensorflow as tf
tf_inc = tf.sysconfig.get_include()
return [tf_inc, '%s/external/nsync/public' % tf_inc]
def get_tf_lib_dirs():
import tensorflow as tf
tf_lib = tf.sysconfig.get_lib()
return [tf_lib]
def get_tf_libs(build_ext, lib_dirs, cpp_flags):
last_err = None
for tf_libs in [['tensorflow_framework'], []]:
try:
lib_file = test_compile(build_ext, 'test_tensorflow_libs',
library_dirs=lib_dirs, libraries=tf_libs,
extra_preargs=cpp_flags,
code=textwrap.dedent('''\
void test() {
}
'''))
from tensorflow.python.framework import load_library
load_library.load_op_library(lib_file)
return tf_libs
except (CompileError, LinkError):
last_err = 'Unable to determine -l link flags to use with TensorFlow (see error above).'
except Exception:
last_err = 'Unable to determine -l link flags to use with TensorFlow. ' \
'Last error:\n\n%s' % traceback.format_exc()
raise DistutilsPlatformError(last_err)
def get_tf_abi(build_ext, include_dirs, lib_dirs, libs, cpp_flags):
last_err = None
cxx11_abi_macro = '_GLIBCXX_USE_CXX11_ABI'
for cxx11_abi in ['0', '1']:
try:
lib_file = test_compile(build_ext, 'test_tensorflow_abi',
macros=[(cxx11_abi_macro, cxx11_abi)],
include_dirs=include_dirs, library_dirs=lib_dirs,
libraries=libs, extra_preargs=cpp_flags,
code=textwrap.dedent('''\
#include <string>
#include "tensorflow/core/framework/op.h"
#include "tensorflow/core/framework/op_kernel.h"
#include "tensorflow/core/framework/shape_inference.h"
void test() {
auto ignore = tensorflow::strings::StrCat("a", "b");
}
'''))
from tensorflow.python.framework import load_library
load_library.load_op_library(lib_file)
return cxx11_abi_macro, cxx11_abi
except (CompileError, LinkError):
last_err = 'Unable to determine CXX11 ABI to use with TensorFlow (see error above).'
except Exception:
last_err = 'Unable to determine CXX11 ABI to use with TensorFlow. ' \
'Last error:\n\n%s' % traceback.format_exc()
raise DistutilsPlatformError(last_err)
def get_tf_flags(build_ext, cpp_flags):
import tensorflow as tf
try:
return tf.sysconfig.get_compile_flags(), tf.sysconfig.get_link_flags()
except AttributeError:
# fallback to the previous logic
tf_include_dirs = get_tf_include_dirs()
tf_lib_dirs = get_tf_lib_dirs()
tf_libs = get_tf_libs(build_ext, tf_lib_dirs, cpp_flags)
tf_abi = get_tf_abi(build_ext, tf_include_dirs,
tf_lib_dirs, tf_libs, cpp_flags)
compile_flags = []
for include_dir in tf_include_dirs:
compile_flags.append('-I%s' % include_dir)
if tf_abi:
compile_flags.append('-D%s=%s' % tf_abi)
link_flags = []
for lib_dir in tf_lib_dirs:
link_flags.append('-L%s' % lib_dir)
for lib in tf_libs:
link_flags.append('-l%s' % lib)
return compile_flags, link_flags
def test_compile(build_ext, name, code, libraries=None, include_dirs=None, library_dirs=None, macros=None,
extra_preargs=None):
test_compile_dir = os.path.join(build_ext.build_temp, 'test_compile')
if not os.path.exists(test_compile_dir):
os.makedirs(test_compile_dir)
source_file = os.path.join(test_compile_dir, '%s.cc' % name)
with open(source_file, 'w') as f:
f.write(code)
compiler = build_ext.compiler
[object_file] = compiler.object_filenames([source_file])
shared_object_file = compiler.shared_object_filename(
name, output_dir=test_compile_dir)
compiler.compile([source_file], extra_preargs=extra_preargs,
include_dirs=include_dirs, macros=macros)
compiler.link_shared_object(
[object_file], shared_object_file, libraries=libraries, library_dirs=library_dirs)
return shared_object_file
def get_conda_include_dir():
prefix = os.environ.get('CONDA_PREFIX', '.')
return [os.path.join(prefix,'include')]
def get_common_options(build_ext):
cpp_flags = get_cpp_flags(build_ext)
MACROS = []
INCLUDES = [] + get_conda_include_dir()
SOURCES = []
COMPILE_FLAGS = cpp_flags
LINK_FLAGS = []
LIBRARY_DIRS = []
LIBRARIES = []
return dict(MACROS=MACROS,
INCLUDES=INCLUDES,
SOURCES=SOURCES,
COMPILE_FLAGS=COMPILE_FLAGS,
LINK_FLAGS=LINK_FLAGS,
LIBRARY_DIRS=LIBRARY_DIRS,
LIBRARIES=LIBRARIES)
def build_common_extension(build_ext, options, abi_compile_flags):
common_lib.define_macros = options['MACROS']
common_lib.include_dirs = options['INCLUDES']
common_lib.sources = options['SOURCES'] + ['jpeg2dct/common/dctfromjpg.cc']
common_lib.extra_compile_args = options['COMPILE_FLAGS'] + \
abi_compile_flags
common_lib.extra_link_args = options['LINK_FLAGS']
common_lib.library_dirs = options['LIBRARY_DIRS']
common_lib.libraries = options['LIBRARIES'] + ['jpeg']
build_ext.build_extension(common_lib)
def build_numpy_extension(build_ext, options, abi_compile_flags):
import numpy
numpy_lib.define_macros = options['MACROS']
numpy_lib.include_dirs = options['INCLUDES'] + [numpy.get_include()]
numpy_lib.sources = options['SOURCES'] + ['jpeg2dct/numpy/dctfromjpg_wrap.cc']
numpy_lib.extra_compile_args = options['COMPILE_FLAGS'] + \
abi_compile_flags
numpy_lib.extra_link_args = options['LINK_FLAGS']
numpy_lib.library_dirs = options['LIBRARY_DIRS']
numpy_lib.libraries = options['LIBRARIES']
build_ext.build_extension(numpy_lib)
def build_tf_extension(build_ext, options):
check_tf_version()
tf_compile_flags, tf_link_flags = get_tf_flags(
build_ext, options['COMPILE_FLAGS'])
tf_lib.define_macros = options['MACROS']
tf_lib.include_dirs = options['INCLUDES']
tf_lib.sources = options['SOURCES'] + ['jpeg2dct/tensorflow/tf_lib.cc']
tf_lib.extra_compile_args = options['COMPILE_FLAGS'] + \
tf_compile_flags
tf_lib.extra_link_args = options['LINK_FLAGS'] + tf_link_flags
tf_lib.library_dirs = options['LIBRARY_DIRS']
tf_lib.libraries = options['LIBRARIES']
build_ext.build_extension(tf_lib)
# Return ABI flags used for TensorFlow compilation. We will use this flag
# to compile all the libraries.
return [flag for flag in tf_compile_flags if '_GLIBCXX_USE_CXX11_ABI' in flag]
# run the customize_compiler
class custom_build_ext(build_ext):
def build_extensions(self):
options = get_common_options(self)
abi_compile_flags = []
built_plugins = []
if not os.environ.get('JPEG2DCT_WITHOUT_TENSORFLOW'):
try:
abi_compile_flags = build_tf_extension(self, options)
built_plugins.append(True)
except:
if not os.environ.get('JPEG2DCT_WITH_TENSORFLOW'):
print('INFO: Unable to build TensorFlow plugin, will skip it.\n\n'
'%s' % traceback.format_exc(), file=sys.stderr)
built_plugins.append(False)
else:
raise
build_common_extension(self, options, abi_compile_flags)
build_numpy_extension(self, options, abi_compile_flags)
setup(name='jpeg2dct',
version=__version__,
packages=find_packages(),
description=textwrap.dedent('''\
Library providing a Python function and a TensorFlow Op to read JPEG image as a numpy
array or a Tensor containing DCT coefficients.'''),
author='Uber Technologies, Inc.',
long_description=textwrap.dedent('''\
jpeg2dct library provides native Python function and a TensorFlow Op to read JPEG image
as a numpy array or a Tensor containing DCT coefficients.'''),
url='https://github.com/uber-research/jpeg2dct',
ext_modules=[common_lib, numpy_lib, tf_lib],
cmdclass={'build_ext': custom_build_ext},
setup_requires=['numpy'],
install_requires=['numpy'],
tests_require=['pytest'],
zip_safe=False)