forked from horovod/horovod
-
Notifications
You must be signed in to change notification settings - Fork 0
/
setup.py
195 lines (162 loc) · 7.93 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
# Copyright 2019 Uber Technologies, Inc. All Rights Reserved.
# Modifications copyright Microsoft
# Modifications copyright (C) 2020, NVIDIA CORPORATION. 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.
# ==============================================================================
import os
import subprocess
import sys
import textwrap
from setuptools import setup, Extension, find_packages
from setuptools.command.build_ext import build_ext
from horovod import __version__
class CMakeExtension(Extension):
def __init__(self, name, cmake_lists_dir='.', sources=[], **kwa):
Extension.__init__(self, name, sources=sources, **kwa)
self.cmake_lists_dir = os.path.abspath(cmake_lists_dir)
tensorflow_mpi_lib = CMakeExtension('horovod.tensorflow.mpi_lib',
cmake_lists_dir='.', sources=[])
torch_mpi_lib_v2 = CMakeExtension('horovod.torch.mpi_lib_v2',
cmake_lists_dir='.', sources=[])
mxnet_mpi_lib = CMakeExtension('horovod.mxnet.mpi_lib',
cmake_lists_dir='.', sources=[])
def is_build_action():
if len(sys.argv) <= 1:
return False
if sys.argv[1].startswith('build'):
return True
if sys.argv[1].startswith('bdist'):
return True
if sys.argv[1].startswith('install'):
return True
def get_cmake_bin():
return os.environ.get('HOROVOD_CMAKE', 'cmake')
class custom_build_ext(build_ext):
def build_extensions(self):
cmake_bin = get_cmake_bin()
config = 'Debug' if self.debug else 'RelWithDebInfo'
ext_name = self.extensions[0].name
build_dir = self.get_ext_fullpath(ext_name).replace(self.get_ext_filename(ext_name), '')
build_dir = os.path.abspath(build_dir)
cmake_args = ['-DCMAKE_BUILD_TYPE=' + config,
'-DCMAKE_LIBRARY_OUTPUT_DIRECTORY_{}={}'.format(config.upper(), build_dir),
'-DPYTHON_EXECUTABLE:FILEPATH=' + sys.executable]
make_args = ['-j8'] if not os.environ.get('MAKEFLAGS') else []
if self.verbose:
make_args.append('VERBOSE=1')
cmake_build_args = ['--config', config]
if make_args:
# -- specifies that these args are going to the native build tool: make
cmake_build_args += ['--'] + make_args
if not os.path.exists(self.build_temp):
os.makedirs(self.build_temp)
# Config and build the extension
try:
subprocess.check_call([cmake_bin, self.extensions[0].cmake_lists_dir] + cmake_args,
cwd=self.build_temp)
subprocess.check_call([cmake_bin, '--build', '.'] + cmake_build_args,
cwd=self.build_temp)
except OSError as e:
raise RuntimeError('CMake failed: {}'.format(str(e)))
# python packages required to use horovod in general
require_list = ['cloudpickle', 'psutil', 'pyyaml', 'dataclasses;python_version<"3.7"']
# framework dependencies
tensorflow_require_list = ['tensorflow']
tensorflow_cpu_require_list = ['tensorflow-cpu']
tensorflow_gpu_require_list = ['tensorflow-gpu']
keras_require_list = ['keras>=2.0.8,!=2.0.9,!=2.1.0,!=2.1.1']
pytorch_require_list = ['torch']
mxnet_require_list = ['mxnet>=1.4.1']
pyspark_require_list = ['pyspark>=2.3.2;python_version<"3.8"',
'pyspark>=3.0.0;python_version>="3.8"']
# Pin h5py: https://github.com/h5py/h5py/issues/1732
spark_require_list = ['h5py<3', 'numpy', 'petastorm>=0.9.0,!=0.9.3', 'pyarrow>=0.15.0'] + \
pyspark_require_list
ray_require_list = ['ray']
# all frameworks' dependencies
all_frameworks_require_list = tensorflow_require_list + \
tensorflow_gpu_require_list + \
keras_require_list + \
pytorch_require_list + \
mxnet_require_list + \
spark_require_list
# python packages required / recommended to develop horovod
# e.g., set of framework versions pinned for development, keep in sync with Dockerfile.test.cpu
# NOTE: do not use versions with +cpu or +gpu here as users would need to add --find-links to pip
dev_require_list = ['tensorflow-cpu==1.15.0',
'keras==2.2.4',
'torch==1.2.0',
'torchvision==0.4.0',
'mxnet==1.5.0',
'pyspark==2.4.7'] + spark_require_list
# python packages required only to run tests
# Pin h5py: https://github.com/h5py/h5py/issues/1732
test_require_list = ['mock', 'pytest', 'pytest-forked', 'parameterized', 'h5py<3']
# Skip cffi if pytorch extension explicitly disabled
if not os.environ.get('HOROVOD_WITHOUT_PYTORCH'):
require_list.append('cffi>=1.4.0')
def get_package_version():
return __version__ + "+" + os.environ['HOROVOD_LOCAL_VERSION'] if 'HOROVOD_LOCAL_VERSION' in os.environ else __version__
setup(name='horovod',
version=get_package_version(),
packages=find_packages(),
description='Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.',
author='The Horovod Authors',
long_description=textwrap.dedent('''\
Horovod is a distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
The goal of Horovod is to make distributed Deep Learning fast and easy to use.'''),
url='https://github.com/horovod/horovod',
keywords=['deep learning', 'tensorflow', 'keras', 'pytorch', 'mxnet', 'spark', 'AI'],
classifiers=[
'License :: OSI Approved :: Apache Software License',
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
],
ext_modules=[tensorflow_mpi_lib, torch_mpi_lib_v2, mxnet_mpi_lib],
cmdclass={'build_ext': custom_build_ext},
# cffi is required for PyTorch
# If cffi is specified in setup_requires, it will need libffi to be installed on the machine,
# which is undesirable. Luckily, `install` action will install cffi before executing build,
# so it's only necessary for `build*` or `bdist*` actions.
setup_requires=require_list if is_build_action() else [],
install_requires=require_list,
tests_require=test_require_list,
extras_require={
'all-frameworks': all_frameworks_require_list,
'tensorflow': tensorflow_require_list,
'tensorflow-cpu': tensorflow_cpu_require_list,
'tensorflow-gpu': tensorflow_gpu_require_list,
'keras': keras_require_list,
'pytorch': pytorch_require_list,
'mxnet': mxnet_require_list,
'spark': spark_require_list,
'ray': ray_require_list,
'dev': dev_require_list,
'test': test_require_list,
},
# not used by pip since 19.0: https://github.com/pypa/pip/issues/4187#issuecomment-415067034
# here for completeness as pip install needs some of these via -f for versions with '+cpu'
# for examples, see Dockerfile.test.cpu and Dockerfile.test.gpu
dependency_links=[
'https://download.pytorch.org/whl/torch_stable.html',
'https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html'
],
python_requires='>=3.6',
zip_safe=False,
entry_points={
'console_scripts': [
'horovodrun = horovod.runner.launch:run_commandline'
]
})