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21 lines
776 B
Python
21 lines
776 B
Python
"""
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The lightning Trainer abstracts best practices for running a training, val, test routine.
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It calls parts of your model when it wants to hand over full control and otherwise makes
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training assumptions which are now standard practice in AI research.
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This is the basic use of the trainer:
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.. code-block:: python
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from pytorch_lightning import Trainer
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model = LightningTemplate()
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trainer = Trainer()
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trainer.fit(model)
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The Trainer holds all the engineering code you might need such as distributing over GPUs or early stopping.
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The LightningTemplate holds the core computations, train, val, test loop, optimizer and dataloaders.
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This pattern de-couples the engineering from the science which makes your code reusable and free to run on any hardware.
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""" |