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import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
# Requirements for testing and development
extras_require_dev = [
"pytest > 3.8",
"pytest-cov ~= 2.8",
]
extras_require_with_hooks = ["record-keeper >= 0.9.29", "faiss-gpu >= 1.6.3", "tensorboard"]
extras_require_with_hooks_cpu = ["record-keeper >= 0.9.29", "faiss-cpu >= 1.6.3", "tensorboard"]
setuptools.setup(
name="pytorch-metric-learning",
version="0.9.94.dev1",
author="Kevin Musgrave",
author_email="tkm45@cornell.edu",
description="The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/KevinMusgrave/pytorch-metric-learning",
package_dir={"": "src"},
packages=setuptools.find_packages(where="src"),
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
],
python_requires='>=3.0',
install_requires=[
'numpy',
'scikit-learn',
'tqdm',
'torch >= 1.6.0',
'torchvision',
],
extras_require={
"dev": extras_require_dev,
"with-hooks": extras_require_with_hooks,
"with-hooks-cpu": extras_require_with_hooks_cpu
},
)
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