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* add argument to force warn * fix automodule error * fix permalink error * fix indentation warning * fix warning * fix import warnings * fix duplicate label warning * fix bullet point indentation warning * fix duplicate label warning * fix "import not top level" warning * line too long * fix indentation * fix bullet points indentation warning * fix hooks warnings * fix reference problem with excluded test_tube * fix indentation in print * change imports for trains logger * remove pandas type annotation * Update pytorch_lightning/core/lightning.py * include bullet points inside note * remove old quick start guide (unused) * fix unused warning * fix formatting * fix duplicate label issue * fix duplicate label warning (replaced by class ref) * fix tick * fix indentation warnings * docstring ticks * remove obsolete docstring typing * Revert "remove old quick start guide (unused)" This reverts commit d51bb40695442c8fa11bc9df74f6db56264f7509. * added old quick start guide to navigation * remove unused tutorials file * ignore some modules that got deprecated and are not used anymore * fix duplicate label warning * move examples doc and exclude pl_examples from autodoc * fix formatting for configure_optimizer * fix no blank line warnings * fix "see also" labels and add paramref extension * fix more reference problems * fix multi-gpu reference * fix weird warning * fix indentation and unrecognized characters in code block * fix warning "... not included in toctree" * fix PIL import error * fix duplicate target "here" warning * fix broken link * revert accidentally moved pl_examples * changelog * stdout * note some things to know Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: J. Borovec <jirka.borovec@seznam.cz> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
59 lines
906 B
ReStructuredText
59 lines
906 B
ReStructuredText
Hooks
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=====
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.. automodule:: pytorch_lightning.core.hooks
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:noindex:
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Hooks lifecycle
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---------------
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Training set-up
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^^^^^^^^^^^^^^^
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- init_ddp_connection
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- init_optimizers
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- configure_apex
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- configure_ddp
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- train_dataloader
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- test_dataloaders
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- val_dataloaders
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- summarize
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- restore_weights
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Training loop
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^^^^^^^^^^^^^
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- on_epoch_start
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- on_batch_start
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- tbptt_split_batch
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- training_step
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- training_step_end (optional)
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- backward
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- on_after_backward
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- optimizer.step()
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- on_batch_end
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- on_epoch_end
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Validation loop
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^^^^^^^^^^^^^^^
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- model.zero_grad()
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- model.eval()
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- torch.set_grad_enabled(False)
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- validation_step
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- validation_end
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- model.train()
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- torch.set_grad_enabled(True)
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- on_post_performance_check
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Test loop
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^^^^^^^^^
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- model.zero_grad()
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- model.eval()
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- torch.set_grad_enabled(False)
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- test_step
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- test_end
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- model.train()
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- torch.set_grad_enabled(True)
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- on_post_performance_check |