2020-02-01 23:24:56 +00:00
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"""Root package info."""
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2019-10-28 22:41:13 +00:00
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2020-04-10 17:10:46 +00:00
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__version__ = '0.7.4-dev'
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2019-11-28 17:48:55 +00:00
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__author__ = 'William Falcon et al.'
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2019-10-28 22:41:13 +00:00
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__author_email__ = 'waf2107@columbia.edu'
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__license__ = 'Apache-2.0'
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2020-02-01 23:24:56 +00:00
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__copyright__ = 'Copyright (c) 2018-2020, %s.' % __author__
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2020-01-20 19:50:31 +00:00
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__homepage__ = 'https://github.com/PyTorchLightning/pytorch-lightning'
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2019-11-09 05:59:14 +00:00
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# this has to be simple string, see: https://github.com/pypa/twine/issues/522
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__docs__ = "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers." \
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" Scale your models. Write less boilerplate."
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2019-10-28 22:41:13 +00:00
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2020-03-29 18:56:36 +00:00
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import logging as python_logging
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2020-03-20 19:49:01 +00:00
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2020-03-29 18:56:36 +00:00
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_logger = python_logging.getLogger("lightning")
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python_logging.basicConfig(level=python_logging.INFO)
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2020-03-20 19:49:01 +00:00
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2019-10-28 22:41:13 +00:00
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try:
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# This variable is injected in the __builtins__ by the build
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# process. It used to enable importing subpackages of skimage when
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# the binaries are not built
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__LIGHTNING_SETUP__
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except NameError:
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__LIGHTNING_SETUP__ = False
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if __LIGHTNING_SETUP__:
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2020-03-19 13:14:29 +00:00
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import sys # pragma: no-cover
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2020-03-20 19:49:01 +00:00
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sys.stdout.write(f'Partial import of `{__name__}` during the build process.\n') # pragma: no-cover
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2020-03-19 13:14:29 +00:00
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# We are not importing the rest of the lightning during the build process, as it may not be compiled yet
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2019-10-28 22:41:13 +00:00
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else:
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2020-03-19 13:14:29 +00:00
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from pytorch_lightning.core import LightningModule
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from pytorch_lightning.trainer import Trainer
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from pytorch_lightning.callbacks import Callback
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from pytorch_lightning.core import data_loader
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2019-10-28 22:41:13 +00:00
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__all__ = [
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'Trainer',
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'LightningModule',
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2020-02-26 04:17:27 +00:00
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'Callback',
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2020-03-06 23:14:03 +00:00
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'data_loader'
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2019-10-28 22:41:13 +00:00
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]
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2020-02-09 22:39:10 +00:00
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# __call__ = __all__
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