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pytorch_lightning.utilities.debugging module¶

class pytorch_lightning.utilities.debugging.InternalDebugger(trainer)[source]¶

Bases: object

count_events(evt_type, strict=False)[source]¶

Return type: int

track_checkpointing_history(filepath)[source]¶

track_early_stopping_history(current)[source]¶

track_eval_loss_history(test_mode, batch_idx, dataloader_idx, output)[source]¶

track_event(evt_type, evt_value=None, global_rank=None, local_rank=None, comment='')[source]¶

Return type: None

track_logged_metrics_history(scalar_metrics)[source]¶

track_lr_schedulers_update(batch_idx, interval, scheduler_idx, old_lr, new_lr, monitor_key=None)[source]¶

track_pbar_metrics_history(metrics)[source]¶

track_train_loss_history(batch_idx, loss)[source]¶

property num_seen_sanity_check_batches[source]¶

property num_seen_test_check_batches[source]¶

property num_seen_val_check_batches[source]¶

pytorch_lightning.utilities.debugging.enabled_only(fn)[source]¶

Decorate a logger method to run it only on the process with rank 0.

Parameters: fn¶ (Callable) – Function to decorate