How to setup pytorch in google-cloud-ml

Question

I try to throw job with Pytorch code in google-cloud-ml. so I code the \"setup.py\" file. And add option \"install_requires\"

\"setup.py\"

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Answer 1

The actual error message is a bit buried, but it is this:

'install_requires' must be a string or list of strings containing valid project/version requirement specifiers; Invalid requirement, parse error at "'://downl'"

To use packages not hosted on PyPI, you need to use dependency_links (see this documentation). Something like this ought to work:

from setuptools import find_packages
from setuptools import setup

REQUIRED_PACKAGES = ['torchvision']
DEPENDENCY_LINKS = ['http://download.pytorch.org/whl/cpu/torch-0.3.0.post4-cp27-cp27mu-linux_x86_64.whl']

setup(
    name='trainer',
    version='0.1',
    install_requires=REQUIRED_PACKAGES,
    dependency_links=DEPENDENCY_LINKS,
    packages=find_packages(),
    include_package_data=True,
    description='My keras trainer application package.'
)