1 5 Regular

.. list-table:: reg. user 1.5 :widths: 40 40 20 :header-rows: 1

• • If
  • Then
  • Ref
• • used trainer.fit(train_dataloaders=...)
  • use trainer.fit(dataloaders=...)
  • PR7431_
• • used trainer.validate(val_dataloaders...)
  • use trainer.validate(dataloaders=...)
  • PR7431_
• • passed num_nodes to DDPPlugin and DDPSpawnPlugin
  • remove them since these parameters are now passed from the Trainer
  • PR7026_
• • passed sync_batchnorm to DDPPlugin and DDPSpawnPlugin
  • remove them since these parameters are now passed from the Trainer
  • PR7026_
• • didn’t provide a monitor argument to the EarlyStopping callback and just relied on the default value
  • pass monitor as it is now a required argument
  • PR7907_
• • used every_n_val_epochs in ModelCheckpoint
  • change the argument to every_n_epochs
  • PR8383_
• • used Trainer’s flag reload_dataloaders_every_epoch
  • use pass reload_dataloaders_every_n_epochs
  • PR5043_
• • used Trainer’s flag distributed_backend
  • use strategy
  • PR8575_

.. _pr7431: https://github.com/Lightning-AI/pytorch-lightning/pull/7431 .. _pr7026: https://github.com/Lightning-AI/pytorch-lightning/pull/7026 .. _pr7907: https://github.com/Lightning-AI/pytorch-lightning/pull/7907 .. _pr8383: https://github.com/Lightning-AI/pytorch-lightning/pull/8383 .. _pr5043: https://github.com/Lightning-AI/pytorch-lightning/pull/5043 .. _pr8575: https://github.com/Lightning-AI/pytorch-lightning/pull/8575