1 7 Regular

.. list-table:: reg. user 1.7 :widths: 40 40 20 :header-rows: 1

• • If
  • Then
  • Ref
• • have wrapped your loggers with LoggerCollection
  • directly pass a list of loggers to the Trainer and access the list via the trainer.loggers attribute.
  • PR12147_
• • used Trainer.lr_schedulers
  • access trainer.lr_scheduler_configs instead, which contains dataclasses instead of dictionaries.
  • PR11443_
• • used neptune-client API in the NeptuneLogger
  • upgrade to the latest API
  • PR14727_
• • used LightningDataModule.on_save hook
  • use LightningDataModule.on_save_checkpoint instead
  • PR11887_
• • used LightningDataModule.on_load_checkpoint hook
  • use LightningDataModule.on_load_checkpoint hook instead
  • PR11887_
• • used LightningModule.on_hpc_load hook
  • switch to general purpose hook LightningModule.on_load_checkpoint
  • PR14315_
• • used LightningModule.on_hpc_save hook
  • switch to general purpose hook LightningModule.on_save_checkpoint
  • PR14315_
• • used Trainer’s flag weights_save_path
  • use directly dirpath argument in the ModelCheckpoint callback.
  • PR14424_
• • used Trainer’s property Trainer.weights_save_path is dropped
  • PR14424_

.. _pr12147: https://github.com/Lightning-AI/pytorch-lightning/pull/12147 .. _pr11443: https://github.com/Lightning-AI/pytorch-lightning/pull/11443 .. _pr14727: https://github.com/Lightning-AI/pytorch-lightning/pull/14727 .. _pr11887: https://github.com/Lightning-AI/pytorch-lightning/pull/11887 .. _pr14315: https://github.com/Lightning-AI/pytorch-lightning/pull/14315 .. _pr14424: https://github.com/Lightning-AI/pytorch-lightning/pull/14424