forked from google-research/torchsde
-
Notifications
You must be signed in to change notification settings - Fork 0
/
setup.py
75 lines (66 loc) · 2.59 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
# Copyright 2020 Google LLC
#
# 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 platform
import setuptools
try:
import torch
from torch.utils import cpp_extension
except ModuleNotFoundError:
raise ModuleNotFoundError("Unable to import torch. Please install torch>=1.6.0 at https://pytorch.org.")
extra_compile_args = []
extra_link_args = []
# This is a problem of macOS: https://github.com/pytorch/pytorch/issues/16805.
if platform.system() == "Darwin":
extra_compile_args += ["-stdlib=libc++"]
extra_link_args += ["-stdlib=libc++"]
brownian_lib_prefix = os.path.join(".", "csrc")
sources = os.listdir(brownian_lib_prefix)
sources = filter(lambda x: x.endswith('.cpp'), sources)
# Don't include C++ tests for now.
sources = filter(lambda x: 'test' not in x, sources)
sources = map(lambda x: os.path.join(brownian_lib_prefix, x), sources)
sources = list(sources)
USE_CUDA = torch.cuda.is_available() and cpp_extension.CUDA_HOME is not None
if os.getenv('FORCE_CPU', '0') == '1':
USE_CUDA = False
if USE_CUDA:
define_macros = [('USE_CUDA', None)]
extension_func = cpp_extension.CUDAExtension
else:
define_macros = []
extension_func = cpp_extension.CppExtension
setuptools.setup(
name="torchsde",
version="0.1.1",
author="Xuechen Li",
author_email="[email protected]",
description="SDE solvers and stochastic adjoint sensitivity analysis in PyTorch.",
url="https://github.com/google-research/torchsde",
packages=setuptools.find_packages(exclude=['diagnostics', 'tests']),
ext_modules=[
extension_func(name='torchsde._brownian_lib',
sources=sources,
extra_compile_args=extra_compile_args,
extra_link_args=extra_link_args,
define_macros=define_macros,
optional=True)
],
cmdclass={'build_ext': cpp_extension.BuildExtension},
install_requires=['torch>=1.6.0', 'blist', 'numpy>=1.17.0'],
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: Apache Software License",
],
)