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Changes we discussed for apex as a subrepo. #53

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Changes we discussed for apex as a subrepo. #53

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3 changes: 3 additions & 0 deletions .gitmodules
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Original file line number Diff line number Diff line change
@@ -0,0 +1,3 @@
[submodule "apex"]
path = apex
url = https://github.com/NVIDIA/apex.git
1 change: 1 addition & 0 deletions apex
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Submodule apex added at a99e18
8 changes: 8 additions & 0 deletions requirements.txt
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numpy
pandas
scikit-learn
matplotlib
unidecode
seaborn
sentencepiece
emoji
48 changes: 5 additions & 43 deletions setup.py
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@@ -1,48 +1,10 @@
import os
from setuptools import setup, find_packages
import torch
import sys

curdir = os.path.join(os.path.dirname(os.path.realpath(__file__)),
'apex_utils')
os.chdir(curdir)
# shameless hack, but it works conveniently
os.system("pip install -r requirements.txt")

if not torch.cuda.is_available():
print("Warning: Torch did not find available GPUs on this system.\n",
"If your intention is to cross-compile, this is not an error.")
os.chdir("apex")

print("torch.__version__ = ", torch.__version__)
TORCH_MAJOR = int(torch.__version__.split('.')[0])
TORCH_MINOR = int(torch.__version__.split('.')[1])
os.system("python " + " ".join(sys.argv) )

if TORCH_MAJOR == 0 and TORCH_MINOR < 4:
raise RuntimeError("APEx requires Pytorch 0.4 or newer.\n" +
"The latest stable release can be obtained from https://pytorch.org/")

print("Building module.")
setup(
name='apex', version='0.1',
# ext_modules=[cuda_ext,],
description='PyTorch Extensions written by NVIDIA',
packages=find_packages(where='.',
exclude=(
"build",
"csrc",
"include",
"tests",
"dist",
"docs",
"tests",
"examples",
"apex.egg-info",
)),
install_requires=[
"numpy",
"pandas",
"scikit-learn",
"matplotlib",
"unidecode",
"seaborn",
"sentencepiece",
"emoji"
]
)