79 lines
1.7 KiB
ReStructuredText
79 lines
1.7 KiB
ReStructuredText
.. role:: hidden
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:class: hidden-section
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.. _callbacks:
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Callbacks
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=========
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Lightning has a callback system to execute arbitrary code. Callbacks should capture NON-ESSENTIAL
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logic that is NOT required for your LightningModule to run.
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An overall Lightning system should have:
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1. Trainer for all engineering
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2. LightningModule for all research code.
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3. Callbacks for non-essential code.
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Example
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.. code-block:: python
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import pytorch_lightning as pl
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class MyPrintingCallback(pl.Callback):
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def on_init_start(self, trainer):
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print('Starting to init trainer!')
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def on_init_end(self, trainer):
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print('trainer is init now')
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def on_train_end(self, trainer, pl_module):
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print('do something when training ends')
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# pass to trainer
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trainer = pl.Trainer(callbacks=[MyPrintingCallback()])
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We successfully extended functionality without polluting our super clean LightningModule research code
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---------
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.. automodule:: pytorch_lightning.callbacks.base
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:noindex:
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:exclude-members:
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_del_model,
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_save_model,
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_abc_impl,
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check_monitor_top_k,
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---------
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.. automodule:: pytorch_lightning.callbacks.early_stopping
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:noindex:
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:exclude-members:
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_del_model,
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_save_model,
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_abc_impl,
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check_monitor_top_k,
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---------
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.. automodule:: pytorch_lightning.callbacks.model_checkpoint
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:noindex:
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:exclude-members:
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_del_model,
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_save_model,
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_abc_impl,
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check_monitor_top_k,
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---------
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.. automodule:: pytorch_lightning.callbacks.gradient_accumulation_scheduler
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:noindex:
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:exclude-members:
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_del_model,
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_save_model,
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_abc_impl,
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check_monitor_top_k,
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