Index

Symbols

**fit_kwargs (pytorch_lightning.tuner.tuning.Tuner.scale_batch_size parameter) **kwargs (pytorch_lightning.core.lightning.LightningModule.forward parameter) (pytorch_lightning.core.lightning.LightningModule.print parameter) (pytorch_lightning.core.lightning.LightningModule.to_onnx parameter) (pytorch_lightning.core.lightning.LightningModule.to_torchscript parameter) (pytorch_lightning.loggers.comet.CometLogger parameter) (pytorch_lightning.loggers.neptune.NeptuneLogger parameter) (pytorch_lightning.loggers.tensorboard.TensorBoardLogger parameter) (pytorch_lightning.loggers.wandb.WandbLogger parameter)

*args (pytorch_lightning.core.lightning.LightningModule.forward parameter) (pytorch_lightning.core.lightning.LightningModule.print parameter)

A

absent_score (pytorch_lightning.metrics.functional.classification.iou parameter) accumulate_grad_batches (pytorch_lightning.trainer.Trainer parameter) amp_backend (pytorch_lightning.trainer.Trainer parameter) amp_level (pytorch_lightning.trainer.Trainer parameter) anonymous (pytorch_lightning.loggers.wandb.WandbLogger parameter) api_key (pytorch_lightning.loggers.comet.CometLogger parameter) (pytorch_lightning.loggers.neptune.NeptuneLogger parameter)

argmax_dim (pytorch_lightning.metrics.functional.classification.stat_scores parameter) (pytorch_lightning.metrics.functional.classification.stat_scores_multiple_classes parameter) (pytorch_lightning.metrics.functional.classification.to_categorical parameter) args (pytorch_lightning.core.lightning.LightningModule.save_hyperparameters parameter) artifact (pytorch_lightning.loggers.neptune.NeptuneLogger.log_artifact parameter) auto_lr_find (pytorch_lightning.trainer.Trainer parameter) auto_scale_batch_size (pytorch_lightning.trainer.Trainer parameter) auto_select_gpus (pytorch_lightning.trainer.Trainer parameter)

B

base (pytorch_lightning.metrics.functional.regression.psnr parameter) batch (pytorch_lightning.core.hooks.DataHooks.transfer_batch_to_device parameter), [1] (pytorch_lightning.core.hooks.ModelHooks.on_batch_start parameter) (pytorch_lightning.core.hooks.ModelHooks.on_test_batch_end parameter), [1] (pytorch_lightning.core.hooks.ModelHooks.on_test_batch_start parameter), [1] (pytorch_lightning.core.hooks.ModelHooks.on_train_batch_end parameter), [1] (pytorch_lightning.core.hooks.ModelHooks.on_train_batch_start parameter), [1] (pytorch_lightning.core.hooks.ModelHooks.on_validation_batch_end parameter), [1] (pytorch_lightning.core.hooks.ModelHooks.on_validation_batch_start parameter), [1] (pytorch_lightning.core.lightning.LightningModule.tbptt_split_batch parameter) (pytorch_lightning.core.lightning.LightningModule.test_step parameter) (pytorch_lightning.core.lightning.LightningModule.training_step parameter) (pytorch_lightning.core.lightning.LightningModule.validation_step parameter) batch_arg_name (pytorch_lightning.tuner.tuning.Tuner.scale_batch_size parameter) batch_idx (pytorch_lightning.core.hooks.ModelHooks.on_test_batch_end parameter), [1] (pytorch_lightning.core.hooks.ModelHooks.on_test_batch_start parameter), [1] (pytorch_lightning.core.hooks.ModelHooks.on_train_batch_end parameter), [1] (pytorch_lightning.core.hooks.ModelHooks.on_train_batch_start parameter), [1] (pytorch_lightning.core.hooks.ModelHooks.on_validation_batch_end parameter), [1] (pytorch_lightning.core.hooks.ModelHooks.on_validation_batch_start parameter), [1] (pytorch_lightning.core.lightning.LightningModule.optimizer_step parameter) (pytorch_lightning.core.lightning.LightningModule.test_step parameter) (pytorch_lightning.core.lightning.LightningModule.training_step parameter) (pytorch_lightning.core.lightning.LightningModule.validation_step parameter)

batch_parts_outputs (pytorch_lightning.core.lightning.LightningModule.test_step_end parameter) (pytorch_lightning.core.lightning.LightningModule.training_step_end parameter) (pytorch_lightning.core.lightning.LightningModule.validation_step_end parameter) benchmark (pytorch_lightning.trainer.Trainer parameter) beta (pytorch_lightning.metrics.functional.classification.fbeta_score parameter) bg (pytorch_lightning.metrics.functional.classification.dice_score parameter)

C

Callback (class in pytorch_lightning.callbacks) callbacks (pytorch_lightning.trainer.Trainer parameter) check_val_every_n_epoch (pytorch_lightning.trainer.Trainer parameter) checkpoint (pytorch_lightning.core.lightning.LightningModule.on_load_checkpoint parameter) (pytorch_lightning.core.lightning.LightningModule.on_save_checkpoint parameter) checkpoint_callback (pytorch_lightning.trainer.Trainer parameter) ckpt_path (pytorch_lightning.trainer.Trainer.test parameter) class_index (pytorch_lightning.metrics.functional.classification.stat_scores parameter) class_reduction (pytorch_lightning.metrics.functional.classification.accuracy parameter) (pytorch_lightning.metrics.functional.classification.f1_score parameter) (pytorch_lightning.metrics.functional.classification.fbeta_score parameter) (pytorch_lightning.metrics.functional.classification.precision parameter) (pytorch_lightning.metrics.functional.classification.precision_recall parameter) (pytorch_lightning.metrics.functional.classification.recall parameter)

close_after_fit (pytorch_lightning.loggers.neptune.NeptuneLogger parameter) cluster_environment (pytorch_lightning.trainer.Trainer parameter) compute_on_step (pytorch_lightning.metrics.classification.Accuracy parameter) (pytorch_lightning.metrics.Metric parameter) create_git_tag (pytorch_lightning.loggers.test_tube.TestTubeLogger parameter)

D

data_range (pytorch_lightning.metrics.functional.regression.psnr parameter) dataloader_idx (pytorch_lightning.core.hooks.ModelHooks.on_test_batch_end parameter), [1] (pytorch_lightning.core.hooks.ModelHooks.on_test_batch_start parameter), [1] (pytorch_lightning.core.hooks.ModelHooks.on_train_batch_end parameter), [1] (pytorch_lightning.core.hooks.ModelHooks.on_train_batch_start parameter), [1] (pytorch_lightning.core.hooks.ModelHooks.on_validation_batch_end parameter), [1] (pytorch_lightning.core.hooks.ModelHooks.on_validation_batch_start parameter), [1] (pytorch_lightning.core.lightning.LightningModule.test_step parameter) (pytorch_lightning.core.lightning.LightningModule.validation_step parameter) datamodule (pytorch_lightning.trainer.Trainer.fit parameter) (pytorch_lightning.trainer.Trainer.test parameter) (pytorch_lightning.trainer.Trainer.tune parameter) (pytorch_lightning.tuner.lr_finder.lr_find parameter) ddp_sync_on_step (pytorch_lightning.metrics.classification.Accuracy parameter) (pytorch_lightning.metrics.Metric parameter)

debug (pytorch_lightning.loggers.test_tube.TestTubeLogger parameter) default (pytorch_lightning.metrics.Metric.add_state parameter) default_hp_metric (pytorch_lightning.loggers.tensorboard.TensorBoardLogger parameter) default_root_dir (pytorch_lightning.trainer.Trainer parameter) description (pytorch_lightning.loggers.test_tube.TestTubeLogger parameter) destination (pytorch_lightning.loggers.neptune.NeptuneLogger.log_artifact parameter) deterministic (pytorch_lightning.trainer.Trainer parameter) device (pytorch_lightning.core.hooks.DataHooks.transfer_batch_to_device parameter), [1] dictionary (pytorch_lightning.core.lightning.LightningModule.log_dict parameter) disable() (pytorch_lightning.callbacks.ProgressBar method) (pytorch_lightning.callbacks.ProgressBarBase method) dist_reduce_fx (pytorch_lightning.metrics.Metric.add_state parameter) distributed_backend (pytorch_lightning.trainer.Trainer parameter)

E

early_stop_callback (pytorch_lightning.trainer.Trainer parameter) early_stop_threshold (pytorch_lightning.tuner.lr_finder.lr_find parameter) EarlyStopping (class in pytorch_lightning.callbacks) enable() (pytorch_lightning.callbacks.ProgressBar method) (pytorch_lightning.callbacks.ProgressBarBase method) enable_graph (pytorch_lightning.core.lightning.LightningModule.log parameter) (pytorch_lightning.core.lightning.LightningModule.log_dict parameter)

epoch (pytorch_lightning.core.lightning.LightningModule.optimizer_step parameter) experiment (pytorch_lightning.loggers.wandb.WandbLogger parameter) experiment_key (pytorch_lightning.loggers.comet.CometLogger parameter) experiment_name (pytorch_lightning.loggers.comet.CometLogger parameter) (pytorch_lightning.loggers.mlflow.MLFlowLogger parameter) (pytorch_lightning.loggers.neptune.NeptuneLogger parameter)

F

fan_speed (pytorch_lightning.callbacks.GPUStatsMonitor parameter), [1] fast_dev_run (pytorch_lightning.trainer.Trainer parameter) file_path (pytorch_lightning.core.lightning.LightningModule.to_onnx parameter) (pytorch_lightning.core.lightning.LightningModule.to_torchscript parameter)

filepath (pytorch_lightning.callbacks.ModelCheckpoint parameter), [1] flush_logs_every_n_steps (pytorch_lightning.trainer.Trainer parameter) format_checkpoint_name() (pytorch_lightning.callbacks.ModelCheckpoint method)

G

gpu_utilization (pytorch_lightning.callbacks.GPUStatsMonitor parameter), [1] gpus (pytorch_lightning.trainer.Trainer parameter)

GPUStatsMonitor (class in pytorch_lightning.callbacks) gradient_clip_val (pytorch_lightning.trainer.Trainer parameter) GradientAccumulationScheduler (class in pytorch_lightning.callbacks)

H

hiddens (pytorch_lightning.core.lightning.LightningModule.training_step parameter)

I

id (pytorch_lightning.loggers.wandb.WandbLogger parameter) ignore_index (pytorch_lightning.metrics.functional.classification.iou parameter) image (pytorch_lightning.loggers.neptune.NeptuneLogger.log_image parameter) init_sanity_tqdm() (pytorch_lightning.callbacks.ProgressBar method) init_test_tqdm() (pytorch_lightning.callbacks.ProgressBar method) init_train_tqdm() (pytorch_lightning.callbacks.ProgressBar method)

init_val (pytorch_lightning.tuner.tuning.Tuner.scale_batch_size parameter) init_validation_tqdm() (pytorch_lightning.callbacks.ProgressBar method) input_array (pytorch_lightning.loggers.tensorboard.TensorBoardLogger.log_graph parameter) (pytorch_lightning.loggers.test_tube.TestTubeLogger.log_graph parameter) input_sample (pytorch_lightning.core.lightning.LightningModule.to_onnx parameter) inter_step_time (pytorch_lightning.callbacks.GPUStatsMonitor parameter), [1] intra_step_time (pytorch_lightning.callbacks.GPUStatsMonitor parameter), [1]

K

key (pytorch_lightning.loggers.neptune.NeptuneLogger.set_property parameter)

L

LearningRateMonitor (class in pytorch_lightning.callbacks) limit_test_batches (pytorch_lightning.trainer.Trainer parameter) limit_train_batches (pytorch_lightning.trainer.Trainer parameter) limit_val_batches (pytorch_lightning.trainer.Trainer parameter) line_count_restriction (pytorch_lightning.profiler.AdvancedProfiler parameter) log_every_n_steps (pytorch_lightning.trainer.Trainer parameter) log_gpu_memory (pytorch_lightning.trainer.Trainer parameter) log_graph (pytorch_lightning.loggers.tensorboard.TensorBoardLogger parameter) (pytorch_lightning.loggers.test_tube.TestTubeLogger parameter)

log_model (pytorch_lightning.loggers.wandb.WandbLogger parameter) log_name (pytorch_lightning.loggers.neptune.NeptuneLogger.log_image parameter) (pytorch_lightning.loggers.neptune.NeptuneLogger.log_text parameter) log_save_interval (pytorch_lightning.trainer.Trainer parameter) logger (pytorch_lightning.core.lightning.LightningModule.log parameter) (pytorch_lightning.core.lightning.LightningModule.log_dict parameter) (pytorch_lightning.trainer.Trainer parameter) logging_interval (pytorch_lightning.callbacks.LearningRateMonitor parameter), [1] loss (pytorch_lightning.core.hooks.ModelHooks.backward parameter) (pytorch_lightning.core.lightning.LightningModule.backward parameter)

M

max_epochs (pytorch_lightning.trainer.Trainer parameter) max_lr (pytorch_lightning.tuner.lr_finder.lr_find parameter) max_steps (pytorch_lightning.trainer.Trainer parameter) max_trials (pytorch_lightning.tuner.tuning.Tuner.scale_batch_size parameter) memory_utilization (pytorch_lightning.callbacks.GPUStatsMonitor parameter), [1] metric_name (pytorch_lightning.loggers.neptune.NeptuneLogger.log_metric parameter) metric_value (pytorch_lightning.loggers.neptune.NeptuneLogger.log_metric parameter) metrics (pytorch_lightning.loggers.comet.CometLogger.log_metrics parameter) (pytorch_lightning.loggers.csv_logs.CSVLogger.log_metrics parameter) (pytorch_lightning.loggers.mlflow.MLFlowLogger.log_metrics parameter) (pytorch_lightning.loggers.neptune.NeptuneLogger.log_metrics parameter) (pytorch_lightning.loggers.tensorboard.TensorBoardLogger.log_metrics parameter) (pytorch_lightning.loggers.test_tube.TestTubeLogger.log_metrics parameter) (pytorch_lightning.loggers.wandb.WandbLogger.log_metrics parameter) min_delta (pytorch_lightning.callbacks.EarlyStopping parameter), [1] min_epochs (pytorch_lightning.trainer.Trainer parameter)

min_lr (pytorch_lightning.tuner.lr_finder.lr_find parameter) min_steps (pytorch_lightning.trainer.Trainer parameter) mode (pytorch_lightning.callbacks.EarlyStopping parameter), [1] (pytorch_lightning.callbacks.ModelCheckpoint parameter), [1] (pytorch_lightning.tuner.lr_finder.lr_find parameter) (pytorch_lightning.tuner.tuning.Tuner.scale_batch_size parameter) model (pytorch_lightning.loggers.tensorboard.TensorBoardLogger.log_graph parameter) (pytorch_lightning.loggers.test_tube.TestTubeLogger.log_graph parameter) (pytorch_lightning.trainer.Trainer.fit parameter) (pytorch_lightning.trainer.Trainer.test parameter) (pytorch_lightning.trainer.Trainer.tune parameter) (pytorch_lightning.tuner.lr_finder.lr_find parameter) (pytorch_lightning.tuner.tuning.Tuner.scale_batch_size parameter) ModelCheckpoint (class in pytorch_lightning.callbacks) monitor (pytorch_lightning.callbacks.EarlyStopping parameter), [1] (pytorch_lightning.callbacks.ModelCheckpoint parameter), [1]

N

n_gram (pytorch_lightning.metrics.functional.nlp.bleu_score parameter) name (pytorch_lightning.core.lightning.LightningModule.log parameter) (pytorch_lightning.loggers.csv_logs.CSVLogger parameter) (pytorch_lightning.loggers.tensorboard.TensorBoardLogger parameter) (pytorch_lightning.loggers.test_tube.TestTubeLogger parameter) (pytorch_lightning.loggers.wandb.WandbLogger parameter) (pytorch_lightning.metrics.Metric.add_state parameter) nan_score (pytorch_lightning.metrics.functional.classification.dice_score parameter) no_fg_score (pytorch_lightning.metrics.functional.classification.dice_score parameter) normalize (pytorch_lightning.metrics.functional.classification.confusion_matrix parameter) num_classes (pytorch_lightning.metrics.functional.classification.accuracy parameter) (pytorch_lightning.metrics.functional.classification.confusion_matrix parameter) (pytorch_lightning.metrics.functional.classification.f1_score parameter) (pytorch_lightning.metrics.functional.classification.fbeta_score parameter) (pytorch_lightning.metrics.functional.classification.iou parameter) (pytorch_lightning.metrics.functional.classification.multiclass_roc parameter) (pytorch_lightning.metrics.functional.classification.precision parameter) (pytorch_lightning.metrics.functional.classification.precision_recall parameter) (pytorch_lightning.metrics.functional.classification.recall parameter) (pytorch_lightning.metrics.functional.classification.stat_scores_multiple_classes parameter) (pytorch_lightning.metrics.functional.classification.to_onehot parameter)

num_nodes (pytorch_lightning.trainer.Trainer parameter) num_sanity_val_steps (pytorch_lightning.trainer.Trainer parameter) num_training (pytorch_lightning.tuner.lr_finder.lr_find parameter)

O

offline (pytorch_lightning.loggers.comet.CometLogger parameter) (pytorch_lightning.loggers.wandb.WandbLogger parameter) offline_mode (pytorch_lightning.loggers.neptune.NeptuneLogger parameter) on_batch_end() (pytorch_lightning.callbacks.Callback method) on_batch_start() (pytorch_lightning.callbacks.Callback method) (pytorch_lightning.callbacks.LearningRateMonitor method) on_epoch (pytorch_lightning.core.lightning.LightningModule.log parameter) (pytorch_lightning.core.lightning.LightningModule.log_dict parameter) on_epoch_end() (pytorch_lightning.callbacks.Callback method) on_epoch_start() (pytorch_lightning.callbacks.Callback method) (pytorch_lightning.callbacks.GradientAccumulationScheduler method) (pytorch_lightning.callbacks.LearningRateMonitor method) (pytorch_lightning.callbacks.ProgressBar method) (pytorch_lightning.callbacks.ProgressBarBase method) on_fit_end() (pytorch_lightning.callbacks.Callback method) on_fit_start() (pytorch_lightning.callbacks.Callback method) on_init_end() (pytorch_lightning.callbacks.Callback method) (pytorch_lightning.callbacks.ProgressBarBase method) on_init_start() (pytorch_lightning.callbacks.Callback method) on_keyboard_interrupt() (pytorch_lightning.callbacks.Callback method) on_load_checkpoint() (pytorch_lightning.callbacks.Callback method) (pytorch_lightning.callbacks.EarlyStopping method) (pytorch_lightning.callbacks.ModelCheckpoint method) on_pretrain_routine_end() (pytorch_lightning.callbacks.Callback method) on_pretrain_routine_start() (pytorch_lightning.callbacks.Callback method) (pytorch_lightning.callbacks.ModelCheckpoint method) on_sanity_check_end() (pytorch_lightning.callbacks.Callback method) (pytorch_lightning.callbacks.ProgressBar method) on_sanity_check_start() (pytorch_lightning.callbacks.Callback method) (pytorch_lightning.callbacks.ProgressBar method) on_save_checkpoint() (pytorch_lightning.callbacks.Callback method) (pytorch_lightning.callbacks.EarlyStopping method) (pytorch_lightning.callbacks.ModelCheckpoint method) on_step (pytorch_lightning.core.lightning.LightningModule.log parameter) (pytorch_lightning.core.lightning.LightningModule.log_dict parameter) on_test_batch_end() (pytorch_lightning.callbacks.Callback method) (pytorch_lightning.callbacks.ProgressBar method) (pytorch_lightning.callbacks.ProgressBarBase method) on_test_batch_start() (pytorch_lightning.callbacks.Callback method) on_test_end() (pytorch_lightning.callbacks.Callback method) (pytorch_lightning.callbacks.ProgressBar method) on_test_epoch_end() (pytorch_lightning.callbacks.Callback method) on_test_epoch_start() (pytorch_lightning.callbacks.Callback method) on_test_start() (pytorch_lightning.callbacks.Callback method) (pytorch_lightning.callbacks.ProgressBar method) (pytorch_lightning.callbacks.ProgressBarBase method)

on_tpu (pytorch_lightning.core.lightning.LightningModule.optimizer_step parameter) on_train_batch_end() (pytorch_lightning.callbacks.Callback method) (pytorch_lightning.callbacks.GPUStatsMonitor method) (pytorch_lightning.callbacks.ProgressBar method) (pytorch_lightning.callbacks.ProgressBarBase method) on_train_batch_start() (pytorch_lightning.callbacks.Callback method) (pytorch_lightning.callbacks.GPUStatsMonitor method) on_train_end() (pytorch_lightning.callbacks.Callback method) (pytorch_lightning.callbacks.EarlyStopping method) (pytorch_lightning.callbacks.ProgressBar method) on_train_epoch_end() (pytorch_lightning.callbacks.Callback method) (pytorch_lightning.callbacks.EarlyStopping method) on_train_epoch_start() (pytorch_lightning.callbacks.Callback method) (pytorch_lightning.callbacks.GPUStatsMonitor method) on_train_start() (pytorch_lightning.callbacks.Callback method) (pytorch_lightning.callbacks.GPUStatsMonitor method) (pytorch_lightning.callbacks.LearningRateMonitor method) (pytorch_lightning.callbacks.ProgressBar method) (pytorch_lightning.callbacks.ProgressBarBase method) on_validation_batch_end() (pytorch_lightning.callbacks.Callback method) (pytorch_lightning.callbacks.ProgressBar method) (pytorch_lightning.callbacks.ProgressBarBase method) on_validation_batch_start() (pytorch_lightning.callbacks.Callback method) on_validation_end() (pytorch_lightning.callbacks.Callback method) (pytorch_lightning.callbacks.EarlyStopping method) (pytorch_lightning.callbacks.ModelCheckpoint method) (pytorch_lightning.callbacks.ProgressBar method) on_validation_epoch_end() (pytorch_lightning.callbacks.Callback method) (pytorch_lightning.callbacks.EarlyStopping method) on_validation_epoch_start() (pytorch_lightning.callbacks.Callback method) on_validation_start() (pytorch_lightning.callbacks.Callback method) (pytorch_lightning.callbacks.ProgressBar method) (pytorch_lightning.callbacks.ProgressBarBase method) optimizer (pytorch_lightning.core.hooks.ModelHooks.backward parameter) (pytorch_lightning.core.hooks.ModelHooks.on_before_zero_grad parameter) (pytorch_lightning.core.lightning.LightningModule.backward parameter) (pytorch_lightning.core.lightning.LightningModule.on_before_zero_grad parameter) (pytorch_lightning.core.lightning.LightningModule.optimizer_step parameter) optimizer_idx (pytorch_lightning.core.hooks.ModelHooks.backward parameter) (pytorch_lightning.core.lightning.LightningModule.backward parameter) (pytorch_lightning.core.lightning.LightningModule.optimizer_step parameter) (pytorch_lightning.core.lightning.LightningModule.training_step parameter) output_filename (pytorch_lightning.profiler.AdvancedProfiler parameter) outputs (pytorch_lightning.core.lightning.LightningModule.test_epoch_end parameter) (pytorch_lightning.core.lightning.LightningModule.training_epoch_end parameter) (pytorch_lightning.core.lightning.LightningModule.validation_epoch_end parameter) overfit_batches (pytorch_lightning.trainer.Trainer parameter)

P

params (pytorch_lightning.loggers.comet.CometLogger.log_hyperparams parameter) (pytorch_lightning.loggers.csv_logs.CSVLogger.log_hyperparams parameter) (pytorch_lightning.loggers.mlflow.MLFlowLogger.log_hyperparams parameter) (pytorch_lightning.loggers.neptune.NeptuneLogger.log_hyperparams parameter) (pytorch_lightning.loggers.tensorboard.TensorBoardLogger.log_hyperparams parameter) (pytorch_lightning.loggers.test_tube.TestTubeLogger.log_hyperparams parameter) (pytorch_lightning.loggers.wandb.WandbLogger.log_hyperparams parameter) patience (pytorch_lightning.callbacks.EarlyStopping parameter), [1] period (pytorch_lightning.callbacks.ModelCheckpoint parameter), [1] pos_label (pytorch_lightning.metrics.functional.classification.auroc parameter) (pytorch_lightning.metrics.functional.classification.average_precision parameter) (pytorch_lightning.metrics.functional.classification.precision_recall_curve parameter) (pytorch_lightning.metrics.functional.classification.roc parameter) precision (pytorch_lightning.trainer.Trainer parameter) pred (pytorch_lightning.metrics.functional.classification.accuracy parameter) (pytorch_lightning.metrics.functional.classification.auroc parameter) (pytorch_lightning.metrics.functional.classification.average_precision parameter) (pytorch_lightning.metrics.functional.classification.confusion_matrix parameter) (pytorch_lightning.metrics.functional.classification.dice_score parameter) (pytorch_lightning.metrics.functional.classification.f1_score parameter) (pytorch_lightning.metrics.functional.classification.fbeta_score parameter) (pytorch_lightning.metrics.functional.classification.iou parameter) (pytorch_lightning.metrics.functional.classification.multiclass_roc parameter) (pytorch_lightning.metrics.functional.classification.precision parameter) (pytorch_lightning.metrics.functional.classification.precision_recall parameter) (pytorch_lightning.metrics.functional.classification.precision_recall_curve parameter) (pytorch_lightning.metrics.functional.classification.recall parameter) (pytorch_lightning.metrics.functional.classification.roc parameter) (pytorch_lightning.metrics.functional.classification.stat_scores parameter) (pytorch_lightning.metrics.functional.classification.stat_scores_multiple_classes parameter) (pytorch_lightning.metrics.functional.regression.mae parameter), [1] (pytorch_lightning.metrics.functional.regression.mse parameter) (pytorch_lightning.metrics.functional.regression.psnr parameter) (pytorch_lightning.metrics.functional.regression.rmse parameter) (pytorch_lightning.metrics.functional.regression.rmsle parameter)

preds (pytorch_lightning.metrics.classification.Accuracy.update parameter) (pytorch_lightning.metrics.regression.MeanAbsoluteError.update parameter) (pytorch_lightning.metrics.regression.MeanSquaredError.update parameter) (pytorch_lightning.metrics.regression.MeanSquaredLogError.update parameter) prepare_data_per_node (pytorch_lightning.trainer.Trainer parameter) process_group (pytorch_lightning.metrics.classification.Accuracy parameter) (pytorch_lightning.metrics.Metric parameter) process_position (pytorch_lightning.callbacks.ProgressBar parameter), [1] (pytorch_lightning.trainer.Trainer parameter) profiler (pytorch_lightning.trainer.Trainer parameter) prog_bar (pytorch_lightning.core.lightning.LightningModule.log parameter) (pytorch_lightning.core.lightning.LightningModule.log_dict parameter) progress_bar_refresh_rate (pytorch_lightning.trainer.Trainer parameter) ProgressBar (class in pytorch_lightning.callbacks) ProgressBarBase (class in pytorch_lightning.callbacks) project (pytorch_lightning.loggers.wandb.WandbLogger parameter) project_name (pytorch_lightning.loggers.comet.CometLogger parameter) (pytorch_lightning.loggers.neptune.NeptuneLogger parameter)

R

reduce_fx (pytorch_lightning.core.lightning.LightningModule.log parameter) (pytorch_lightning.core.lightning.LightningModule.log_dict parameter) reduction (pytorch_lightning.metrics.functional.classification.dice_score parameter) (pytorch_lightning.metrics.functional.classification.iou parameter) (pytorch_lightning.metrics.functional.classification.stat_scores_multiple_classes parameter) (pytorch_lightning.metrics.functional.regression.mae parameter), [1] (pytorch_lightning.metrics.functional.regression.mse parameter) (pytorch_lightning.metrics.functional.regression.psnr parameter) (pytorch_lightning.metrics.functional.regression.rmse parameter) (pytorch_lightning.metrics.functional.regression.rmsle parameter) reference_corpus (pytorch_lightning.metrics.functional.nlp.bleu_score parameter) refresh_rate (pytorch_lightning.callbacks.ProgressBar parameter), [1]

reload_dataloaders_every_epoch (pytorch_lightning.trainer.Trainer parameter) reorder (pytorch_lightning.metrics.functional.classification.auc parameter) replace_sampler_ddp (pytorch_lightning.trainer.Trainer parameter) rest_api_key (pytorch_lightning.loggers.comet.CometLogger parameter) resume_from_checkpoint (pytorch_lightning.trainer.Trainer parameter) return_state (pytorch_lightning.metrics.functional.classification.accuracy parameter) (pytorch_lightning.metrics.functional.classification.precision_recall parameter) (pytorch_lightning.metrics.functional.regression.mae parameter), [1] (pytorch_lightning.metrics.functional.regression.mse parameter) (pytorch_lightning.metrics.functional.regression.psnr parameter) (pytorch_lightning.metrics.functional.regression.rmse parameter) return_support (pytorch_lightning.metrics.functional.classification.precision_recall parameter) row_log_interval (pytorch_lightning.trainer.Trainer parameter)

S

sample_weight (pytorch_lightning.metrics.functional.classification.auroc parameter) (pytorch_lightning.metrics.functional.classification.average_precision parameter) (pytorch_lightning.metrics.functional.classification.multiclass_roc parameter) (pytorch_lightning.metrics.functional.classification.precision_recall_curve parameter) (pytorch_lightning.metrics.functional.classification.roc parameter) save_checkpoint() (pytorch_lightning.callbacks.ModelCheckpoint method) save_dir (pytorch_lightning.loggers.comet.CometLogger parameter) (pytorch_lightning.loggers.csv_logs.CSVLogger parameter) (pytorch_lightning.loggers.mlflow.MLFlowLogger parameter) (pytorch_lightning.loggers.tensorboard.TensorBoardLogger parameter) (pytorch_lightning.loggers.test_tube.TestTubeLogger parameter) (pytorch_lightning.loggers.wandb.WandbLogger parameter) save_last (pytorch_lightning.callbacks.ModelCheckpoint parameter), [1] save_top_k (pytorch_lightning.callbacks.ModelCheckpoint parameter), [1] save_weights_only (pytorch_lightning.callbacks.ModelCheckpoint parameter), [1] scheduling (pytorch_lightning.callbacks.GradientAccumulationScheduler parameter), [1] second_order_closure (pytorch_lightning.core.lightning.LightningModule.optimizer_step parameter) seed (pytorch_lightning.trainer.seed_everything parameter) setup() (pytorch_lightning.callbacks.Callback method) smooth (pytorch_lightning.metrics.functional.nlp.bleu_score parameter) split_size (pytorch_lightning.core.lightning.LightningModule.tbptt_split_batch parameter) stage (pytorch_lightning.core.hooks.ModelHooks.setup parameter), [1] (pytorch_lightning.core.hooks.ModelHooks.teardown parameter), [1]

status (pytorch_lightning.loggers.csv_logs.CSVLogger.finalize parameter) (pytorch_lightning.loggers.mlflow.MLFlowLogger.finalize parameter) (pytorch_lightning.loggers.neptune.NeptuneLogger.finalize parameter) (pytorch_lightning.loggers.tensorboard.TensorBoardLogger.finalize parameter) (pytorch_lightning.loggers.test_tube.TestTubeLogger.finalize parameter) step (pytorch_lightning.loggers.comet.CometLogger.log_metrics parameter) (pytorch_lightning.loggers.csv_logs.CSVLogger.log_metrics parameter) (pytorch_lightning.loggers.mlflow.MLFlowLogger.log_metrics parameter) (pytorch_lightning.loggers.neptune.NeptuneLogger.log_image parameter) (pytorch_lightning.loggers.neptune.NeptuneLogger.log_metric parameter) (pytorch_lightning.loggers.neptune.NeptuneLogger.log_metrics parameter) (pytorch_lightning.loggers.neptune.NeptuneLogger.log_text parameter) (pytorch_lightning.loggers.tensorboard.TensorBoardLogger.log_metrics parameter) (pytorch_lightning.loggers.test_tube.TestTubeLogger.log_metrics parameter) (pytorch_lightning.loggers.wandb.WandbLogger.log_metrics parameter) steps_per_trial (pytorch_lightning.tuner.tuning.Tuner.scale_batch_size parameter) strict (pytorch_lightning.callbacks.EarlyStopping parameter), [1] sync_batchnorm (pytorch_lightning.trainer.Trainer parameter) sync_dist (pytorch_lightning.core.lightning.LightningModule.log parameter) (pytorch_lightning.core.lightning.LightningModule.log_dict parameter) sync_dist_group (pytorch_lightning.core.lightning.LightningModule.log parameter) (pytorch_lightning.core.lightning.LightningModule.log_dict parameter) sync_dist_op (pytorch_lightning.core.lightning.LightningModule.log parameter) (pytorch_lightning.core.lightning.LightningModule.log_dict parameter)

T

tags (pytorch_lightning.loggers.mlflow.MLFlowLogger parameter) (pytorch_lightning.loggers.neptune.NeptuneLogger.append_tags parameter) target (pytorch_lightning.metrics.classification.Accuracy.update parameter) (pytorch_lightning.metrics.functional.classification.accuracy parameter) (pytorch_lightning.metrics.functional.classification.auroc parameter) (pytorch_lightning.metrics.functional.classification.average_precision parameter) (pytorch_lightning.metrics.functional.classification.confusion_matrix parameter) (pytorch_lightning.metrics.functional.classification.dice_score parameter) (pytorch_lightning.metrics.functional.classification.f1_score parameter) (pytorch_lightning.metrics.functional.classification.fbeta_score parameter) (pytorch_lightning.metrics.functional.classification.iou parameter) (pytorch_lightning.metrics.functional.classification.multiclass_roc parameter) (pytorch_lightning.metrics.functional.classification.precision parameter) (pytorch_lightning.metrics.functional.classification.precision_recall parameter) (pytorch_lightning.metrics.functional.classification.precision_recall_curve parameter) (pytorch_lightning.metrics.functional.classification.recall parameter) (pytorch_lightning.metrics.functional.classification.roc parameter) (pytorch_lightning.metrics.functional.classification.stat_scores parameter) (pytorch_lightning.metrics.functional.classification.stat_scores_multiple_classes parameter) (pytorch_lightning.metrics.functional.regression.mae parameter), [1] (pytorch_lightning.metrics.functional.regression.mse parameter) (pytorch_lightning.metrics.functional.regression.psnr parameter) (pytorch_lightning.metrics.functional.regression.rmse parameter) (pytorch_lightning.metrics.functional.regression.rmsle parameter) (pytorch_lightning.metrics.regression.MeanAbsoluteError.update parameter) (pytorch_lightning.metrics.regression.MeanSquaredError.update parameter) (pytorch_lightning.metrics.regression.MeanSquaredLogError.update parameter)

tbptt_pad_token (pytorch_lightning.core.lightning.LightningModule.log parameter) (pytorch_lightning.core.lightning.LightningModule.log_dict parameter) tbptt_reduce_fx (pytorch_lightning.core.lightning.LightningModule.log parameter) (pytorch_lightning.core.lightning.LightningModule.log_dict parameter) teardown() (pytorch_lightning.callbacks.Callback method) temperature (pytorch_lightning.callbacks.GPUStatsMonitor parameter), [1] tensor (pytorch_lightning.metrics.functional.classification.to_categorical parameter) (pytorch_lightning.metrics.functional.classification.to_onehot parameter) terminate_on_nan (pytorch_lightning.trainer.Trainer parameter) test_batch_idx() (pytorch_lightning.callbacks.ProgressBarBase property) test_dataloaders (pytorch_lightning.trainer.Trainer.test parameter) text (pytorch_lightning.loggers.neptune.NeptuneLogger.log_text parameter) threshold (pytorch_lightning.metrics.classification.Accuracy parameter) to_yaml() (pytorch_lightning.callbacks.ModelCheckpoint method) total_test_batches() (pytorch_lightning.callbacks.ProgressBarBase property) total_train_batches() (pytorch_lightning.callbacks.ProgressBarBase property) total_val_batches() (pytorch_lightning.callbacks.ProgressBarBase property) tpu_cores (pytorch_lightning.trainer.Trainer parameter) track_grad_norm (pytorch_lightning.trainer.Trainer parameter) tracking_uri (pytorch_lightning.loggers.mlflow.MLFlowLogger parameter) train_batch_idx() (pytorch_lightning.callbacks.ProgressBarBase property) train_dataloader (pytorch_lightning.trainer.Trainer.fit parameter) (pytorch_lightning.trainer.Trainer.tune parameter) (pytorch_lightning.tuner.lr_finder.lr_find parameter) trainer (pytorch_lightning.core.hooks.ModelHooks.backward parameter) (pytorch_lightning.core.lightning.LightningModule.backward parameter) translate_corpus (pytorch_lightning.metrics.functional.nlp.bleu_score parameter) truncated_bptt_steps (pytorch_lightning.trainer.Trainer parameter)

U

using_lbfgs (pytorch_lightning.core.lightning.LightningModule.optimizer_step parameter)

using_native_amp (pytorch_lightning.core.lightning.LightningModule.optimizer_step parameter)

V

val_batch_idx() (pytorch_lightning.callbacks.ProgressBarBase property) val_check_interval (pytorch_lightning.trainer.Trainer parameter) val_dataloaders (pytorch_lightning.trainer.Trainer.fit parameter) (pytorch_lightning.trainer.Trainer.tune parameter) value (pytorch_lightning.core.lightning.LightningModule.log parameter) (pytorch_lightning.loggers.neptune.NeptuneLogger.set_property parameter)

verbose (pytorch_lightning.callbacks.EarlyStopping parameter), [1] (pytorch_lightning.callbacks.ModelCheckpoint parameter), [1] (pytorch_lightning.trainer.Trainer.test parameter) version (pytorch_lightning.loggers.csv_logs.CSVLogger parameter) (pytorch_lightning.loggers.tensorboard.TensorBoardLogger parameter) (pytorch_lightning.loggers.test_tube.TestTubeLogger parameter) (pytorch_lightning.loggers.wandb.WandbLogger parameter)

W

weights_save_path (pytorch_lightning.trainer.Trainer parameter)

weights_summary (pytorch_lightning.trainer.Trainer parameter)

X

x (pytorch_lightning.metrics.functional.classification.auc parameter)

Y

y (pytorch_lightning.metrics.functional.classification.auc parameter)