1 4 Advanced

.. list-table:: adv. user 1.4 :widths: 40 40 20 :header-rows: 1

• • If
  • Then
  • Ref
• • called ModelCheckpoint.save_function
  • now call Trainer.save_checkpoint
  • PR7201_
• • accessed the Trainer.running_sanity_check property
  • now access the Trainer.sanity_checking property
  • PR4945_
• • used LightningModule.grad_norm
  • now use the pl.utilities.grad_norm utility function instead
  • PR7292_
• • used TrainerTrainingTricksMixin.detect_nan_tensors
  • now use pl.utilities.grads.grad_norm
  • PR6834_
• • used TrainerTrainingTricksMixin.print_nan_gradients
  • now use pl.utilities.finite_checks.print_nan_gradients
  • PR6834_
• • If you relied on TrainerLoggingMixin.metrics_to_scalars
  • now use pl.utilities.metrics.metrics_to_scalars
  • PR7180_
• • selected the i-th GPU with Trainer(gpus="i,j")
  • now this will set the number of GPUs, just like passing Trainer(devices=i), you can still select the specific GPU by setting the CUDA_VISIBLE_DEVICES=i,j environment variable
  • PR6388_

.. _pr7201: https://github.com/Lightning-AI/pytorch-lightning/pull/7201 .. _pr4945: https://github.com/Lightning-AI/pytorch-lightning/pull/4945 .. _pr7292: https://github.com/Lightning-AI/pytorch-lightning/pull/7292 .. _pr6834: https://github.com/Lightning-AI/pytorch-lightning/pull/6834 .. _pr7180: https://github.com/Lightning-AI/pytorch-lightning/pull/7180 .. _pr6388: https://github.com/Lightning-AI/pytorch-lightning/pull/6388