mirror of
https://github.com/wassname/pytorch-lightning.git
synced 2026-09-07 17:00:22 +08:00
William Falcon
1015a00506
* added get dataloaders directly using a getter * deleted decorator * added prepare_data hook * refactored dataloader init * refactored dataloader init * added dataloader reset flag and main loop * added dataloader reset flag and main loop * added dataloader reset flag and main loop * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * made changes * fixed bad loaders * fixed bad loaders * fixed bad loaders * fixed bad loaders * fixed bad loaders * fixed bad loaders * fixed bad loaders * fixed bad loaders * fixed bad loaders * fixed error in .fit with loaders * fixed error in .fit with loaders * fixed error in .fit with loaders * fixed error in .fit with loaders * fixed error in .fit with loaders * fixed error in .fit with loaders * fixed error in .fit with loaders * fixed error in .fit with loaders * fixed error in .fit with loaders * fixed error in .fit with loaders * fixed error in .fit with loaders * fixed error in .fit with loaders * fixed error in .fit with loaders * fixes #909 * fixes #909 * bug fix * Fixes #902
53 lines
926 B
ReStructuredText
53 lines
926 B
ReStructuredText
Hooks
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=======
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This is the order in which lightning calls the hooks. You can override each for custom behavior.
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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_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 |