release code

Dassl.ProGrad.pytorch/setup.py

@@ -0,0 +1,48 @@
+import numpy as np
+import os.path as osp
+from setuptools import setup, find_packages
+
+
+def readme():
+    with open('README.md') as f:
+        content = f.read()
+    return content
+
+
+def find_version():
+    version_file = 'dassl/__init__.py'
+    with open(version_file, 'r') as f:
+        exec(compile(f.read(), version_file, 'exec'))
+    return locals()['__version__']
+
+
+def numpy_include():
+    try:
+        numpy_include = np.get_include()
+    except AttributeError:
+        numpy_include = np.get_numpy_include()
+    return numpy_include
+
+
+def get_requirements(filename='requirements.txt'):
+    here = osp.dirname(osp.realpath(__file__))
+    with open(osp.join(here, filename), 'r') as f:
+        requires = [line.replace('\n', '') for line in f.readlines()]
+    return requires
+
+
+setup(
+    name='dassl',
+    version=find_version(),
+    description='Dassl: Domain adaptation and semi-supervised learning',
+    author='Kaiyang Zhou',
+    license='MIT',
+    long_description=readme(),
+    url='https://github.com/KaiyangZhou/Dassl.pytorch',
+    packages=find_packages(),
+    install_requires=get_requirements(),
+    keywords=[
+        'Domain Adaptation', 'Domain Generalization',
+        'Semi-Supervised Learning', 'Pytorch'
+    ]
+)