mirror of
https://github.com/wassname/pytorch-lightning.git
synced 2026-08-24 12:19:51 +08:00
Ir1dXD
c316173e89
* use print for INFO and lower levels summarize() * use logging.INFO instead of magic number * bring logging.info back for other cases * move logging config to __init__.py * prepend the model summary with a newline
39 lines
1.2 KiB
Python
39 lines
1.2 KiB
Python
"""Package info"""
|
|
|
|
__version__ = '0.5.3.2'
|
|
__author__ = 'William Falcon et al.'
|
|
__author_email__ = 'waf2107@columbia.edu'
|
|
__license__ = 'Apache-2.0'
|
|
__copyright__ = 'Copyright (c) 2018-2019, %s.' % __author__
|
|
__homepage__ = 'https://github.com/williamFalcon/pytorch-lightning'
|
|
# this has to be simple string, see: https://github.com/pypa/twine/issues/522
|
|
__docs__ = "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers." \
|
|
" Scale your models. Write less boilerplate."
|
|
|
|
|
|
try:
|
|
# This variable is injected in the __builtins__ by the build
|
|
# process. It used to enable importing subpackages of skimage when
|
|
# the binaries are not built
|
|
__LIGHTNING_SETUP__
|
|
except NameError:
|
|
__LIGHTNING_SETUP__ = False
|
|
|
|
if __LIGHTNING_SETUP__:
|
|
import sys
|
|
sys.stderr.write('Partial import of skimage during the build process.\n')
|
|
# We are not importing the rest of the scikit during the build
|
|
# process, as it may not be compiled yet
|
|
else:
|
|
from .trainer.trainer import Trainer
|
|
from .core.lightning import LightningModule
|
|
from .core.decorators import data_loader
|
|
import logging
|
|
|
|
__all__ = [
|
|
'Trainer',
|
|
'LightningModule',
|
|
'data_loader',
|
|
]
|
|
logging.basicConfig(level=logging.INFO)
|