Index

_

__add__() (AbstractAggregator method) (LossBase method) __bool__() (AbstractAggregator method) __call__() (AbstractScheduler method) (AveragedModel method) (CallEvery method) (ChangeSchedulerOnPlateauCallback method) (EarlyStoppingCallback method) (EvaluationMixin method) (GradientOpProtocol method) (GradNormClipper method) (GradParamNormalizer method) (GradValueClipper method) (GradZScoreNormalizer method) (HistClipper method) (Hook method) (Model method) (ModelCaller method) (ModelProtocol method) (ModelRunner method) (NoOp method) (ParamHistClipper method) (PruneCallback method) (SchedulerProtocol method) (StaticHook method) (SWAModel method) (Test method) (Trainer method) (TrainerHook method) (TrialCallback method) __deepcopy__() (Objective method)

__del__() (Model method) __enter__() (Run method) __exit__() (Run method) __iadd__() (AbstractAggregator method) __iter__() (LoaderProtocol method) __len__() (LoaderProtocol method) (StatsCollector method) __mul__() (LossBase method) __neg__() (LossBase method) __or__() (MetricCollection method) __post_init__() (CosineScheduler method) (Event method) (ExponentialScheduler method) (PolynomialScheduler method) (StepScheduler method) __pow__() (LossBase method) __radd__() (LossBase method) __repr__() (AbstractAggregator method) (LossBase method) __rmul__() (LossBase method) __rsub__() (LossBase method) __rtruediv__() (LossBase method) __sub__() (LossBase method) __truediv__() (LossBase method) _exp_name (Dumper attribute) _metric_names (BasePlotter attribute) _model_names (BasePlotter attribute) _par_dir (Dumper attribute) _removed_start (BasePlotter attribute) _run_id (Dumper attribute) _source_names (BasePlotter attribute) _start (BasePlotter attribute)

A

AbstractAccumulator (class in drytorch.lib.aggregators) AbstractAggregator (class in drytorch.lib.aggregators) AbstractCheckpoint (class in drytorch.lib.checkpoints) AbstractScheduler (class in drytorch.lib.schedulers) AccessOutsideScopeError accumulator_cls (Averager attribute) (TorchAverager attribute) active (StatsCollector attribute) actor_name (ActorRegistrationEvent attribute) actor_ts (ActorRegistrationEvent attribute) ActorRegistrationEvent (class in drytorch.core.log_events) adam() (LearningSchema class method) adam_w() (LearningSchema class method) add_validation() (Trainer method)

add_value() (MetricTracker method) ALL_MODULES (in module drytorch.core.registering) all_reduce() (AbstractAggregator method) alpha (EMACriterion attribute) (ZStatCriterion attribute) append() (StatsCollector method) apply() (in module drytorch.utils.apply_ops) apply_cpu_detach() (in module drytorch.utils.apply_ops) apply_to() (in module drytorch.utils.apply_ops) architecture_repr (ModelRegistrationEvent attribute) averaged_module (AveragedModel property) AveragedModel (class in drytorch.lib.models) AverageObjective (class in drytorch.lib.objectives) Averager (class in drytorch.lib.aggregators)

B

base_hook_name (Hook attribute) (StaticHook attribute) base_lr (LearningProtocol attribute) (LearningRateEvent attribute) (LearningSchema attribute) (ModelOptimizer property) base_port (TensorBoard attribute) base_scheduler_name (AbstractScheduler attribute) (RescaleScheduler attribute) (RestartScheduler attribute) (WarmupScheduler attribute) BasePlotter (class in drytorch.trackers.base_classes) batch_size (DataLoader attribute) (IterateBatchEvent attribute) (LoaderProtocol attribute)

best_is (MetricTracker attribute) best_value (MetricMonitor property) (MetricTracker property) bind() (AbstractScheduler method) (TrainerHook method) bind_model() (AbstractCheckpoint method) (CheckpointProtocol method) bind_module() (AbstractCheckpoint method) (CheckpointProtocol method) bind_optimizer() (AbstractCheckpoint method) (CheckpointProtocol method) BuiltinLogger (class in drytorch.trackers.logging)

C

calculate() (CompositionalLoss method) (MetricCollection method) (Objective method) call_every() (in module drytorch.lib.hooks) CallEvery (class in drytorch.lib.hooks) CannotStoreOutputWarning ChangeSchedulerOnPlateauCallback (class in drytorch.lib.hooks) checkpoint (Model attribute) (ModelProtocol attribute) CheckpointNotInitializedError CheckpointProtocol (class in drytorch.core.protocols) clean_up() (CSVDumper method) (Dumper method) (HydraLink method) (SQLConnection method) (TensorBoard method) (TqdmLogger method) (Tracker method) (Wandb method) clear() (AbstractAggregator method) clipping_function (EMACriterion attribute) (ZStatCriterion attribute) ClippingCriterion (class in drytorch.lib.gradient_ops) clone_experiment_data() (in module drytorch.utils.local_ops) close_all() (MatPlotter method) color (EpochBar attribute)

CompositionalLoss (class in drytorch.lib.objectives) compute() (JoinMetrics method) (Objective method) (ObjectiveProtocol method) compute_metrics() (in module drytorch.lib.objectives) computed_metrics (ModelRunner property) (MonitorProtocol property) ComputedBeforeUpdatedWarning ComputedMetricsTypeError config (Experiment property) (StartExperimentEvent attribute) ConstantScheduler (class in drytorch.lib.schedulers) ConvergenceError cooldown (ChangeSchedulerOnPlateauCallback attribute) (ReduceLROnPlateau attribute) (RestartScheduleOnPlateau attribute) copy() (Objective method) CosineScheduler (class in drytorch.lib.schedulers) count (MeanAccumulator attribute) (TorchMeanAccumulator attribute) create_run() (Experiment method) created_at (Log attribute) criterion (HistClipper attribute) (LossBase attribute) (ParamHistClipper attribute) CSVDumper (class in drytorch.trackers.csv)

D

DataLoader (class in drytorch.lib.loading) dataset (DataLoader attribute) (LoaderProtocol attribute) dataset_len (DataLoader attribute) dataset_size (IterateBatchEvent attribute) DatasetHasNoLengthError decay (EMAModel attribute) decay_steps (CosineScheduler attribute) default_msec_format (DryTorchFormatter attribute) DEFAULT_TRACKERS (in module drytorch.core.tracking) default_url (SQLConnection attribute) definition (LoadModelEvent attribute) (SaveModelEvent attribute) delete_experiment_data() (in module drytorch.utils.local_ops) device (Model property) (ModelProtocol property) DeviceMismatchError Diagnostic (class in drytorch.lib.evaluations) disable_default_handler() (in module drytorch.trackers.logging) disable_propagation() (in module drytorch.trackers.logging) DistributedDatasetNotDivisibleWarning DistributedStorageWarning drytorch.contrib module drytorch.contrib.optuna module drytorch.contrib.torcheval module drytorch.contrib.torchmetrics module drytorch.core module drytorch.core.exceptions module drytorch.core.experimenting module drytorch.core.log_events module drytorch.core.protocols module drytorch.core.registering module drytorch.core.tracking module drytorch.lib module drytorch.lib.aggregators module drytorch.lib.checkpoints module drytorch.lib.evaluations module drytorch.lib.gradient_ops module

drytorch.lib.hooks module drytorch.lib.learning module drytorch.lib.loading module drytorch.lib.models module drytorch.lib.objectives module drytorch.lib.runners module drytorch.lib.schedulers module drytorch.lib.training module drytorch.trackers module drytorch.trackers.base_classes module drytorch.trackers.csv module drytorch.trackers.hydra module drytorch.trackers.logging module drytorch.trackers.matplotlib module drytorch.trackers.plotly module drytorch.trackers.sqlalchemy module drytorch.trackers.tensorboard module drytorch.trackers.tqdm module drytorch.trackers.wandb module drytorch.trackers.yaml module drytorch.utils module drytorch.utils.apply_ops module drytorch.utils.averages module drytorch.utils.local_ops module drytorch.utils.repr_utils module DryTorchError DryTorchFilter (class in drytorch.trackers.logging) DryTorchFormatter (class in drytorch.trackers.logging) DryTorchWarning Dumper (class in drytorch.trackers.base_classes)

E

EarlyStoppingCallback (class in drytorch.lib.hooks) EMACriterion (class in drytorch.lib.gradient_ops) EMAModel (class in drytorch.lib.models) enable_default_handler() (in module drytorch.trackers.logging) enable_propagation() (in module drytorch.trackers.logging) end_epoch (StartEpochEvent attribute) (StartTrainingEvent attribute) EndEpochEvent (class in drytorch.core.log_events) EndTestEvent (class in drytorch.core.log_events) EndTrainingEvent (class in drytorch.core.log_events) engine (SQLConnection attribute) epoch (EndEpochEvent attribute) (InfoLevels attribute) (LearningRateEvent attribute) (LoadModelEvent attribute) (Log attribute) (MetricEvent attribute) (Model attribute) (ModelProtocol attribute) (SaveModelEvent attribute) (StartEpochEvent attribute) (TerminatedTrainingEvent attribute) EpochBar (class in drytorch.trackers.tqdm) EpochNotFoundError EvaluationMixin (class in drytorch.lib.evaluations)

Event (class in drytorch.core.log_events) EventDispatcher (class in drytorch.core.tracking) exec_averaged_module (AveragedModel attribute) (EMAModel attribute) (SWAModel attribute) exec_module (Model attribute) execute() (HookRegistry method) exp_decay (ExponentialScheduler attribute) exp_name (Dumper property) (EventDispatcher attribute) (StartExperimentEvent attribute) (StopExperimentEvent attribute) Experiment (class in drytorch.core.experimenting) (class in drytorch.trackers.sqlalchemy) experiment (InfoLevels attribute) (Run attribute) (Run property) experiment_id (Run attribute) (Tags attribute) experiment_name (Experiment attribute) ExperimentalFeatureWarning ExponentialScheduler (class in drytorch.lib.schedulers) extend_default_trackers() (in module drytorch.core.tracking) extract_metadata() (MetadataManager static method) extract_metric_value() (MetricExtractor method) extractor (MetricMonitor attribute)

F

factor (ReduceLROnPlateau attribute) (RescaleScheduler attribute) FailedOptionalImportWarning filter() (DryTorchFilter method) filter_fn (MetricTracker attribute) filtered_value (MetricMonitor property) (MetricTracker property) fmt (EpochBar attribute) folder_name (Dumper attribute) (Experiment attribute) format() (DryTorchFormatter method)

formula (LossBase attribute) forward() (JoinLossMetrics method) (LossBase method) (LossProtocol method) from_torcheval() (in module drytorch.contrib.torcheval) from_torchmetrics() (in module drytorch.contrib.torchmetrics) from_value() (AbstractAccumulator class method) (MeanAccumulator class method) (TorchMeanAccumulator class method) fun (Metric attribute) FuncNotApplicableError

G

gamma (StepScheduler attribute) get_clip_value() (ClippingCriterion method) (EMACriterion method) (ZStatCriterion method) get_config() (Experiment class method) get_current() (Experiment class method) (Tracker class method) get_final_value() (in module drytorch.contrib.optuna) get_loader() (DataLoader method) get_metric_best_is() (MetricExtractor method) get_moving_average() (in module drytorch.utils.averages) get_opt_params() (ModelOptimizer method)

get_scheduled_lr() (ModelOptimizer method) get_scheduler() (ChangeSchedulerOnPlateauCallback method) (ReduceLROnPlateau method) (RestartScheduleOnPlateau method) get_trailing_mean() (in module drytorch.utils.averages) get_verbosity() (in module drytorch.trackers.logging) gradient_op (LearningSchema attribute) GradientOpProtocol (class in drytorch.core.protocols) GradNormClipper (class in drytorch.lib.gradient_ops) GradParamNormalizer (class in drytorch.lib.gradient_ops) GradValueClipper (class in drytorch.lib.gradient_ops) GradZScoreNormalizer (class in drytorch.lib.gradient_ops)

H

higher_is_better (LossBase attribute) (Metric attribute) HistClipper (class in drytorch.lib.gradient_ops) history (MetricMonitor property) (MetricTracker attribute)

Hook (class in drytorch.lib.hooks) HookRegistry (class in drytorch.lib.hooks) hooks (HookRegistry attribute) hydra_dir (HydraLink attribute) HydraLink (class in drytorch.trackers.hydra)

I

id (Run property) INCLUDE_PROPERTIES (in module drytorch.utils.repr_utils) increment_epoch() (Model method) (ModelProtocol method) INFO_LEVELS (in module drytorch.trackers.logging) InfoLevels (class in drytorch.trackers.logging) instance_count (TensorBoard attribute) internal (InfoLevels attribute)

is_active() (Run method) is_better() (MetricMonitor method) (MetricTracker method) is_complete() (StatsCollector method) is_improving() (MetricMonitor method) (MetricTracker method) is_patient() (MetricMonitor method) (MetricTracker method) IterateBatchEvent (class in drytorch.core.log_events)

J

JoinLossMetrics (class in drytorch.lib.objectives)

JoinMetrics (class in drytorch.lib.objectives)

K

keys() (AbstractAggregator method)

L

learning_schema (Trainer attribute) (TrainerProtocol attribute) LearningProtocol (class in drytorch.core.protocols) LearningRateEvent (class in drytorch.core.log_events) LearningSchema (class in drytorch.lib.learning) load() (AbstractCheckpoint method) (CheckpointProtocol method) load_checkpoint() (Trainer method) (TrainerProtocol method) load_metrics() (MetricLoader method) load_state() (Model method) loader (Diagnostic attribute) (ModelRunner attribute) (ModelRunnerWithLogs attribute) (ModelRunnerWithObjective attribute) (Test attribute) (Trainer attribute) (Validation attribute)

LoaderProtocol (class in drytorch.core.protocols) LoadModelEvent (class in drytorch.core.log_events) LocalCheckpoint (class in drytorch.lib.checkpoints) location (LoadModelEvent attribute) (SaveModelEvent attribute) Log (class in drytorch.trackers.sqlalchemy) logic (RescaleScheduler attribute) (RestartScheduler attribute) (WarmupScheduler attribute) logs (Source attribute) Loss (class in drytorch.lib.objectives) LossBase (class in drytorch.lib.objectives) LossNotScalarError LossProtocol (class in drytorch.core.protocols)

M

MatPlotter (class in drytorch.trackers.matplotlib) max_clipping() (in module drytorch.lib.gradient_ops) MAX_DEPTH (in module drytorch.utils.repr_utils) max_epochs (PolynomialScheduler attribute) MAX_LENGTH_PLAIN_REPR (in module drytorch.trackers.yaml) MAX_LENGTH_SHORT_REPR (in module drytorch.trackers.yaml) MAX_REPR_SIZE (in module drytorch.utils.repr_utils) max_restart (RestartScheduler attribute) max_samples (StatsCollector attribute) mean (StatsCollector property) mean_clipping() (in module drytorch.lib.gradient_ops) MeanAccumulator (class in drytorch.lib.aggregators) MemoryMetrics (class in drytorch.trackers.base_classes) merge() (AbstractAccumulator method) (MeanAccumulator method) (TorchMeanAccumulator method) merge_state() (Objective method) metadata (ActorRegistrationEvent attribute) metadata_dict (MetadataManager attribute) metadata_manager (Run attribute) MetadataManager (class in drytorch.core.tracking) Metric (class in drytorch.lib.objectives) metric_name (Log attribute) (MetricExtractor property) (MetricMonitor property) (MetricTracker attribute) metric_spec (MetricExtractor attribute) metric_tracker (MetricMonitor attribute) MetricCollection (class in drytorch.lib.objectives) MetricEvent (class in drytorch.core.log_events) MetricExtractor (class in drytorch.lib.hooks) MetricLoader (class in drytorch.trackers.base_classes) MetricMonitor (class in drytorch.lib.hooks) MetricNotFoundError metrics (InfoLevels attribute) (MetricEvent attribute) MetricTracker (class in drytorch.lib.objectives) milestones (StepScheduler attribute) min_decay (CosineScheduler attribute) (ExponentialScheduler attribute) (PolynomialScheduler attribute) min_delta (MetricTracker attribute) MissingParamError mixed_precision (Model attribute) (ModelProtocol attribute) model (AbstractCheckpoint property) Model (class in drytorch.lib.models) model (Diagnostic attribute) (ModelCaller attribute) (ModelRunner attribute) (ModelRunnerWithLogs attribute) (ModelRunnerWithObjective attribute) (MonitorProtocol attribute) (Test attribute) (Trainer attribute) (TrainerProtocol attribute) (Validation attribute) model_dict (MemoryMetrics attribute) model_name (ActorRegistrationEvent attribute) (EndEpochEvent attribute) (EndTestEvent attribute) (LearningRateEvent attribute) (LoadModelEvent attribute) (MetricEvent attribute) (ModelRegistrationEvent attribute) (SaveModelEvent attribute) (Source attribute) (StartEpochEvent attribute) (StartTestEvent attribute) (StartTrainingEvent attribute) (TerminatedTrainingEvent attribute)

model_state (InfoLevels attribute) model_ts (ActorRegistrationEvent attribute) (ModelRegistrationEvent attribute) (Source attribute) ModelCaller (class in drytorch.lib.runners) ModelDeviceMismatchError ModelNotFoundError ModelOptimizer (class in drytorch.lib.training) ModelProtocol (class in drytorch.core.protocols) ModelRegistrationEvent (class in drytorch.core.log_events) ModelRunner (class in drytorch.lib.runners) ModelRunnerWithLogs (class in drytorch.lib.runners) ModelRunnerWithObjective (class in drytorch.lib.runners) module drytorch.contrib drytorch.contrib.optuna drytorch.contrib.torcheval drytorch.contrib.torchmetrics drytorch.core drytorch.core.exceptions drytorch.core.experimenting drytorch.core.log_events drytorch.core.protocols drytorch.core.registering drytorch.core.tracking drytorch.lib drytorch.lib.aggregators drytorch.lib.checkpoints drytorch.lib.evaluations drytorch.lib.gradient_ops drytorch.lib.hooks drytorch.lib.learning drytorch.lib.loading drytorch.lib.models drytorch.lib.objectives drytorch.lib.runners drytorch.lib.schedulers drytorch.lib.training drytorch.trackers drytorch.trackers.base_classes drytorch.trackers.csv drytorch.trackers.hydra drytorch.trackers.logging drytorch.trackers.matplotlib drytorch.trackers.plotly drytorch.trackers.sqlalchemy drytorch.trackers.tensorboard drytorch.trackers.tqdm drytorch.trackers.wandb drytorch.trackers.yaml drytorch.utils drytorch.utils.apply_ops drytorch.utils.averages drytorch.utils.local_ops drytorch.utils.repr_utils module (Model property) (ModelProtocol property) ModuleAlreadyRegisteredError ModuleNotDistributedWarning ModuleNotRegisteredError monitor (ChangeSchedulerOnPlateauCallback attribute) (EarlyStoppingCallback attribute) (PruneCallback attribute) (ReduceLROnPlateau attribute) (RestartScheduleOnPlateau attribute) (TrialCallback attribute) MonitorProtocol (class in drytorch.core.protocols)

N

n_iter (IterateBatchEvent attribute) n_warmup_steps (HistClipper attribute) (ParamHistClipper attribute) name (Experiment property) (LossBase attribute) (Metric attribute) (Model property) (ModelCaller property) (ModelProtocol property) (MonitorProtocol property) NameAlreadyRegisteredError named_fn (MetricCollection attribute) named_trackers (EventDispatcher attribute) NamedTupleOnlyError NestedScopeError

NoActiveExperimentError NoOp (class in drytorch.lib.gradient_ops) NoPreviousRunsWarning NotExistingRunWarning notify() (BasePlotter method) (BuiltinLogger method) (CSVDumper method) (Dumper method) (HydraLink method) (MemoryMetrics method) (SQLConnection method) (TensorBoard method) (TqdmLogger method) (Tracker method) (Wandb method) (YamlDumper method)

O

Objective (class in drytorch.lib.objectives) objective (Diagnostic attribute) (ModelRunnerWithLogs attribute) (ModelRunnerWithObjective attribute) (Test attribute) (Trainer attribute) (TrainerProtocol attribute) (Validation attribute) ObjectiveProtocol (class in drytorch.core.protocols) ObjectiveSyncWarning optimize() (ModelOptimizer method) optimizer (AbstractCheckpoint property) optimizer_cls (LearningProtocol attribute) (LearningSchema attribute)

optimizer_defaults (LearningProtocol attribute) (LearningSchema attribute) OptimizerNotLoadedWarning optional_monitor (MetricExtractor attribute) OptunaError outputs_list (Diagnostic attribute) (ModelRunner attribute) (ModelRunnerWithLogs attribute) (ModelRunnerWithObjective attribute) (Test attribute) (Validation attribute) OutputType (in module drytorch.core.protocols)

P

par_dir (Dumper property) (Experiment attribute) (StartExperimentEvent attribute) parameters (AbstractScheduler attribute) (CallEvery attribute) (Hook attribute) (RescaleScheduler attribute) (RestartScheduler attribute) (StaticHook attribute) (WarmupScheduler attribute) ParamHistClipper (class in drytorch.lib.gradient_ops) PastEpochWarning paths (LocalCheckpoint property) patience (MetricTracker attribute) pbar (EpochBar attribute) (TrainingBar attribute)

plot() (BasePlotter method) PlotlyPlotter (class in drytorch.trackers.plotly) PolynomialScheduler (class in drytorch.lib.schedulers) post_batch_update() (EMAModel method) (Model method) (ModelProtocol method) post_epoch_update() (Model method) (ModelProtocol method) (SWAModel method) power (PolynomialScheduler attribute) prepare_module() (Model method) previous_runs (Experiment attribute) ProgressFormatter (class in drytorch.trackers.logging) PruneCallback (class in drytorch.lib.hooks) publish() (EventDispatcher method) push_updates (IterateBatchEvent attribute)

R

r_adam() (LearningSchema class method) r_thresh (EMACriterion attribute) read_csv() (CSVDumper method) reason (TerminatedTrainingEvent attribute) reciprocal_clipping() (in module drytorch.lib.gradient_ops) record (Run attribute) record_metric_value() (MetricMonitor method) RecursionWarning recursive_repr() (in module drytorch.utils.repr_utils) reduce() (AbstractAccumulator method) (AbstractAggregator method) (MeanAccumulator method) (TorchMeanAccumulator method) ReduceLROnPlateau (class in drytorch.lib.hooks) register() (HookRegistry method) (Model method) register_actor() (in module drytorch.core.registering) (MetadataManager method) register_all() (HookRegistry method) register_model() (in module drytorch.core.registering) (MetadataManager method) remove() (EventDispatcher method) remove_all() (EventDispatcher method) remove_all_default_trackers() (in module drytorch.core.tracking) remove_model() (AbstractCheckpoint method) rename_experiment_data() (in module drytorch.utils.local_ops) reported (TrialCallback attribute) rescale() (in module drytorch.lib.schedulers) RescaleScheduler (class in drytorch.lib.schedulers) reset() (ClippingCriterion method) (EMACriterion method) (HistClipper method) (JoinMetrics method) (Objective method) (ObjectiveProtocol method) (ParamHistClipper method) (StatsCollector method) (ZStatCriterion method)

reset_patience() (MetricTracker method) restart() (in module drytorch.lib.schedulers) restart_fraction (RestartScheduler attribute) restart_interval (RestartScheduler attribute) RestartScheduleOnPlateau (class in drytorch.lib.hooks) RestartScheduler (class in drytorch.lib.schedulers) ResultNotAvailableError resumed (Run attribute) (StartExperimentEvent attribute) row_id (Experiment attribute) (Log attribute) (Run attribute) (Source attribute) (Tags attribute) Run (class in drytorch.core.experimenting) (class in drytorch.trackers.sqlalchemy) run (Experiment property) (Source attribute) (SQLConnection property) (Wandb property) run_file (Experiment attribute) run_id (Dumper property) (Run attribute) (StartExperimentEvent attribute) (StopExperimentEvent attribute) run_table_id (Source attribute) run_ts (Run attribute) (StartExperimentEvent attribute) RunAlreadyCompletedWarning RunAlreadyRecordedError RunAlreadyRunningWarning RunNotRecordedError RunNotStartedWarning runs (Experiment attribute)

S

sampler (DataLoader attribute) (LoaderProtocol attribute) save() (AbstractCheckpoint method) (CheckpointProtocol method) (LocalCheckpoint method) save_checkpoint() (Trainer method) (TrainerProtocol method) save_state() (Model method) SaveModelEvent (class in drytorch.core.log_events) scheduler (LearningProtocol attribute) (LearningSchema attribute) scheduler_name (LearningRateEvent attribute) SchedulerProtocol (class in drytorch.core.protocols) seen_str (EpochBar attribute) session_factory (SQLConnection attribute) set_auto_publish() (Event static method) set_current() (Experiment static method) set_formatter() (in module drytorch.trackers.logging) set_statistics() (ClippingCriterion method) (EMACriterion method) (ZStatCriterion method) set_verbosity() (in module drytorch.trackers.logging) sgd() (LearningSchema class method) should_clip() (ClippingCriterion method) (EMACriterion method) (ZStatCriterion method) Source (class in drytorch.trackers.sqlalchemy) source (Log attribute) source_id (Log attribute) source_name (EndEpochEvent attribute) (EndTestEvent attribute) (EndTrainingEvent attribute) (IterateBatchEvent attribute) (LearningRateEvent attribute) (MetricEvent attribute) (Source attribute) (StartEpochEvent attribute) (StartTestEvent attribute) (StartTrainingEvent attribute) (TerminatedTrainingEvent attribute)

source_ts (Source attribute) sources (Run attribute) split() (DataLoader method) SQLConnection (class in drytorch.trackers.sqlalchemy) start() (Run method) start_epoch (StartTrainingEvent attribute) (SWAModel attribute) start_from_epoch (EarlyStoppingCallback attribute) StartEpochEvent (class in drytorch.core.log_events) StartExperimentEvent (class in drytorch.core.log_events) StartTestEvent (class in drytorch.core.log_events) StartTrainingEvent (class in drytorch.core.log_events) static_hook_class() (in module drytorch.lib.hooks) StaticHook (class in drytorch.lib.hooks) StatsCollector (class in drytorch.lib.gradient_ops) status (Run attribute) StepScheduler (class in drytorch.lib.schedulers) stop() (Run method) StopExperimentEvent (class in drytorch.core.log_events) subscribe() (EventDispatcher method) suggest_overrides() (in module drytorch.contrib.optuna) SWAModel (class in drytorch.lib.models) sync() (AbstractAccumulator method) (JoinMetrics method) (MeanAccumulator method) (Objective method) (TorchMeanAccumulator method)

T

Tags (class in drytorch.trackers.sqlalchemy) tags (Experiment attribute), [1] (StartExperimentEvent attribute) take_from_dataset() (in module drytorch.lib.loading) TensorBoard (class in drytorch.trackers.tensorboard) terminate_training() (Trainer method) (TrainerProtocol method) terminated (Trainer property) (TrainerProtocol property) TerminatedTrainingEvent (class in drytorch.core.log_events) TerminatedTrainingWarning Test (class in drytorch.lib.evaluations) test (InfoLevels attribute) text (Tags attribute) threshold (GradNormClipper attribute) (GradValueClipper attribute) thresholds (PruneCallback attribute) TorchAverager (class in drytorch.lib.aggregators) TorchMeanAccumulator (class in drytorch.lib.aggregators)

total (MeanAccumulator attribute) (TorchMeanAccumulator attribute) TqdmLogger (class in drytorch.trackers.tqdm) Tracker (class in drytorch.core.tracking) TrackerAlreadyRegisteredError TrackerError TrackerExceptionWarning TrackerNotUsedError trackers (Experiment attribute) train() (Trainer method) (TrainerProtocol method) train_until() (Trainer method) Trainer (class in drytorch.lib.training) TrainerHook (class in drytorch.lib.hooks) TrainerProtocol (class in drytorch.core.protocols) training (InfoLevels attribute) TrainingBar (class in drytorch.trackers.tqdm) trial (TrialCallback attribute) TrialCallback (class in drytorch.contrib.optuna) TS_FMT (in module drytorch.trackers.yaml)

U

unregister() (Model method) unregister_actor() (in module drytorch.core.registering) (MetadataManager method) unregister_model() (in module drytorch.core.registering) (MetadataManager method) update() (ClippingCriterion method) (EMACriterion method) (EpochBar method) (IterateBatchEvent method) (JoinMetrics method) (Objective method) (ObjectiveProtocol method) (TrainingBar method) (ZStatCriterion method)

update_learning_rate() (ModelOptimizer method) (Trainer method) (TrainerProtocol method) user_par_dir (Dumper attribute)

V

Validation (class in drytorch.lib.evaluations) validation (Trainer attribute) (TrainerProtocol attribute)

value (Log attribute) variance (StatsCollector property)

W

Wandb (class in drytorch.trackers.wandb) WandbWarning warmup() (in module drytorch.lib.schedulers) warmup_clip_strategy (HistClipper attribute) (ParamHistClipper attribute)

warmup_steps (WarmupScheduler attribute) WarmupScheduler (class in drytorch.lib.schedulers) watch() (LossBase method) writer (TensorBoard property)

Y

YamlDumper (class in drytorch.trackers.yaml)

Z

z_thresh (ZStatCriterion attribute)

ZStatCriterion (class in drytorch.lib.gradient_ops)