2022-12-05 17:03:04 +01:00

62 lines
1.4 KiB
Python

"""ProtoTorch package"""
import pkgutil
import pkg_resources
from . import datasets # noqa: F401
from . import nn # noqa: F401
from . import utils # noqa: F401
from .core import competitions # noqa: F401
from .core import components # noqa: F401
from .core import distances # noqa: F401
from .core import initializers # noqa: F401
from .core import losses # noqa: F401
from .core import pooling # noqa: F401
from .core import similarities # noqa: F401
from .core import transforms # noqa: F401
# Core Setup
__version__ = "0.7.5"
__all_core__ = [
"competitions",
"components",
"core",
"datasets",
"distances",
"initializers",
"losses",
"nn",
"pooling",
"similarities",
"transforms",
"utils",
]
# Plugin Loader
__path__ = pkgutil.extend_path(__path__, __name__)
def discover_plugins():
return {
entry_point.name: entry_point.load()
for entry_point in pkg_resources.iter_entry_points(
"prototorch.plugins")
}
discovered_plugins = discover_plugins()
locals().update(discovered_plugins)
# Generate combines __version__ and __all__
version_plugins = "\n".join([
"- " + name + ": v" + plugin.__version__
for name, plugin in discovered_plugins.items()
])
if version_plugins != "":
version_plugins = "\nPlugins: \n" + version_plugins
version = "core: v" + __version__ + version_plugins
__all__ = __all_core__ + list(discovered_plugins.keys())