-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathsetup_prompt.py
48 lines (44 loc) · 1.46 KB
/
setup_prompt.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
"""Install Compacter."""
import os
import setuptools
from torch.utils.cpp_extension import BuildExtension, CUDAExtension
#os.environ['TORCH_CUDA_ARCH_LIST']="3.5;3.7;6.1;7.0;7.5;8.6+PTX"
def setup_package():
long_description = "examples_prompt"
setuptools.setup(
name='examples_prompt',
version='0.0.1',
description='textual prompt example',
long_description=long_description,
long_description_content_type='text/markdown',
author='Shengding Hu',
license='MIT License',
packages=setuptools.find_packages(
exclude=['docs', 'tests', 'scripts']),
dependency_links=[
'https://download.pytorch.org/whl/torch_stable.html',
],
classifiers=[
'Intended Audience :: Developers',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: MIT License',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.7.10',
],
keywords='text nlp machinelearning',
# ext_modules=[
# CUDAExtension('seq2seq.projections.fwh_cuda',
# sources=[
# 'seq2seq/projections/fwh_cuda/fwh_cpp.cpp',
# 'seq2seq/projections/fwh_cuda/fwh_cu.cu',
# ]
# )
# ]
# ,
cmdclass={"build_ext": BuildExtension},
install_requires=[
],
)
if __name__ == '__main__':
setup_package()