Index _ | A | B | C | D | E | F | G | I | K | L | M | N | O | P | R | S | T | U | W _ __init__() (determined.estimator.EstimatorTrial method) (determined.keras.TFKerasTrial method) (determined.pytorch.lightning.LightningAdapter method) (determined.pytorch.LRScheduler method) (determined.pytorch.PyTorchTrial method) A accumulate() (determined.estimator.MetricReducer method) add_metadata() (determined.experimental.client.Checkpoint method) (determined.experimental.client.Model method) ASC (determined.experimental.client.ModelOrderBy attribute) ASCENDING (determined.experimental.client.ModelOrderBy attribute) AVG (determined.pytorch.Reducer attribute) B backward() (determined.pytorch.PyTorchTrialContext method) BaseTransformerTrial (class in model_hub.huggingface) build_callbacks() (determined.pytorch.lightning.LightningAdapter method) (determined.pytorch.PyTorchTrial method) build_default_lr_scheduler() (in module model_hub.huggingface) build_default_optimizer() (in module model_hub.huggingface) build_estimator() (determined.estimator.EstimatorTrial method) build_model() (determined.keras.TFKerasTrial method) build_serving_input_receiver_fns() (determined.estimator.EstimatorTrial method) build_train_spec() (determined.estimator.EstimatorTrial method) build_training_data_loader() (determined.keras.TFKerasTrial method) (determined.pytorch.lightning.LightningAdapter method) (determined.pytorch.PyTorchTrial method) build_using_auto() (in module model_hub.huggingface) build_validation_data_loader() (determined.keras.TFKerasTrial method) (determined.pytorch.lightning.LightningAdapter method) (determined.pytorch.PyTorchTrial method) build_validation_spec() (determined.estimator.EstimatorTrial method) C cache_train_dataset() (determined.estimator.EstimatorExperimentalContext method) (determined.keras.TFKerasExperimentalContext method) cache_validation_dataset() (determined.estimator.EstimatorExperimentalContext method) (determined.keras.TFKerasExperimentalContext method) Callback (class in determined.keras.callbacks) Categorical() (in module determined) Checkpoint (class in determined.experimental.client) ConfigKwargs (class in model_hub.huggingface) configure_apex_amp() (determined.pytorch.PyTorchTrialContext method) configure_fit() (determined.keras.TFKerasTrialContext method) Constant() (in module determined) create_experiment() (determined.experimental.client.Determined method) (in module determined.experimental.client) create_model() (determined.experimental.client.Determined method) (in module determined.experimental.client) CREATION_TIME (determined.experimental.client.ModelSortBy attribute) cross_slot_reduce() (determined.estimator.MetricReducer method) (determined.pytorch.MetricReducer method) current_train_batch() (determined.pytorch.PyTorchTrialContext method) D DatasetKwargs (class in model_hub.huggingface) default_load_dataset() (in module model_hub.huggingface) default_parse_config_tokenizer_model_kwargs() (in module model_hub.huggingface) default_parse_optimizer_lr_scheduler_kwargs() (in module model_hub.huggingface) delete() (determined.experimental.client.ExperimentReference method) DESC (determined.experimental.client.ModelOrderBy attribute) DESCENDING (determined.experimental.client.ModelOrderBy attribute) DESCRIPTION (determined.experimental.client.ModelSortBy attribute) determined module Determined (class in determined.experimental.client) determined.experimental.client module determined.pytorch.samplers module disable_auto_to_device() (determined.pytorch.PyTorchExperimentalContext method) disable_dataset_reproducibility_checks() (determined.pytorch.PyTorchExperimentalContext method) DistributedBatchSampler (class in determined.pytorch.samplers) DistributedContext (class in determined._train_context) DistributedSampler (class in determined.pytorch.samplers) Double() (in module determined) download() (determined.experimental.client.Checkpoint method) E EarlyStopping (class in determined.keras.callbacks) EstimatorExperimentalContext (class in determined.estimator) EstimatorTrial (class in determined.estimator) EstimatorTrialContext (class in determined.estimator) evaluate_batch() (determined.pytorch.PyTorchTrial method) evaluate_full_dataset() (determined.pytorch.PyTorchTrial method) evaluation_reducer() (determined.pytorch.lightning.LightningAdapter method) (determined.pytorch.PyTorchTrial method) ExperimentReference (class in determined.experimental.client) F from_config() (determined.estimator.EstimatorTrialContext class method) (determined.pytorch.PyTorchTrialContext class method) (determined.TrialContext class method) G GCSBackend (class in model_hub.mmdetection) get_batch_length() (determined.pytorch.lightning.LightningAdapter method) (determined.pytorch.PyTorchTrial method) get_checkpoint() (determined.experimental.client.Determined method) (in module determined.experimental.client) get_data_config() (determined.estimator.EstimatorTrialContext method) (determined.pytorch.PyTorchTrialContext method) (determined.TrialContext method) get_experiment() (determined.experimental.client.Determined method) (in module determined.experimental.client) get_experiment_config() (determined.estimator.EstimatorTrialContext method) (determined.pytorch.PyTorchTrialContext method) (determined.TrialContext method) get_experiment_id() (determined.estimator.EstimatorTrialContext method) (determined.pytorch.PyTorchTrialContext method) (determined.TrialContext method) get_global_batch_size() (determined.estimator.EstimatorTrialContext method) (determined.pytorch.PyTorchTrialContext method) (determined.TrialContext method) get_hparam() (determined.estimator.EstimatorTrialContext method) (determined.pytorch.PyTorchTrialContext method) (determined.TrialContext method) get_hparams() (determined.estimator.EstimatorTrialContext method) (determined.pytorch.PyTorchTrialContext method) (determined.TrialContext method) get_local_rank() (determined._train_context.DistributedContext method) get_model() (determined.experimental.client.Determined method) (in module determined.experimental.client) get_models() (determined.experimental.client.Determined method) (in module determined.experimental.client) get_num_agents() (determined._train_context.DistributedContext method) get_per_slot_batch_size() (determined.estimator.EstimatorTrialContext method) (determined.pytorch.PyTorchTrialContext method) (determined.TrialContext method) get_pretrained_ckpt_path() (in module model_hub.mmdetection) get_rank() (determined._train_context.DistributedContext method) get_size() (determined._train_context.DistributedContext method) get_state() (determined.keras.callbacks.Callback method) get_stop_requested() (determined.estimator.EstimatorTrialContext method) (determined.pytorch.PyTorchTrialContext method) (determined.TrialContext method) get_trial() (determined.experimental.client.Determined method) (in module determined.experimental.client) get_trial_id() (determined.estimator.EstimatorTrialContext method) (determined.pytorch.PyTorchTrialContext method) (determined.TrialContext method) get_version() (determined.experimental.client.Model method) get_versions() (determined.experimental.client.Model method) I Integer() (in module determined) is_epoch_end() (determined.pytorch.PyTorchTrialContext method) is_epoch_start() (determined.pytorch.PyTorchTrialContext method) K keras_callbacks() (determined.keras.TFKerasTrial method) L LAST_UPDATED_TIME (determined.experimental.client.ModelSortBy attribute) LightningAdapter (class in determined.pytorch.lightning) load() (determined.experimental.client.Checkpoint method) load_from_path() (determined.experimental.client.Checkpoint static method) load_state() (determined.keras.callbacks.Callback method) load_state_dict() (determined.pytorch.PyTorchCallback method) Log() (in module determined) login() (in module determined.experimental.client) LRScheduler (class in determined.pytorch) LRScheduler.StepMode (class in determined.pytorch) LRSchedulerKwargs (class in model_hub.huggingface) M make_metric() (determined.estimator.EstimatorTrialContext method) MANUAL_STEP (determined.pytorch.LRScheduler.StepMode attribute) MAX (determined.pytorch.Reducer attribute) MetricReducer (class in determined.estimator) (class in determined.pytorch) MIN (determined.pytorch.Reducer attribute) MMDetTrial (class in model_hub.mmdetection) Model (class in determined.experimental.client) model_hub.huggingface module model_hub.mmdetection module ModelKwargs (class in model_hub.huggingface) ModelOrderBy (class in determined.experimental.client) ModelSortBy (class in determined.experimental.client) module determined determined.experimental.client determined.pytorch.samplers model_hub.huggingface model_hub.mmdetection N NAME (determined.experimental.client.ModelSortBy attribute) O on_checkpoint_end() (determined.estimator.RunHook method) (determined.keras.callbacks.Callback method) (determined.pytorch.PyTorchCallback method) on_checkpoint_load() (determined.estimator.RunHook method) on_checkpoint_load_start() (determined.pytorch.PyTorchCallback method) on_checkpoint_save_start() (determined.pytorch.PyTorchCallback method) on_train_workload_begin() (determined.keras.callbacks.Callback method) on_train_workload_end() (determined.keras.callbacks.Callback method) on_training_epoch_start() (determined.pytorch.PyTorchCallback method) on_training_start() (determined.pytorch.PyTorchCallback method) on_trial_close() (determined.estimator.RunHook method) on_validation_end() (determined.pytorch.PyTorchCallback method) on_validation_epoch_end() (determined.pytorch.PyTorchCallback method) on_validation_epoch_start() (determined.pytorch.PyTorchCallback method) on_validation_start() (determined.pytorch.PyTorchCallback method) on_validation_step_end() (determined.pytorch.PyTorchCallback method) on_validation_step_start() (determined.pytorch.PyTorchCallback method) OptimizerKwargs (class in model_hub.huggingface) P per_slot_reduce() (determined.pytorch.MetricReducer method) PyTorchCallback (class in determined.pytorch) PyTorchExperimentalContext (class in determined.pytorch) PyTorchTrial (class in determined.pytorch) PyTorchTrialContext (class in determined.pytorch) R ReduceLROnPlateau (class in determined.keras.callbacks) Reducer (class in determined.pytorch) register_version() (determined.experimental.client.Model method) remove_metadata() (determined.experimental.client.Checkpoint method) (determined.experimental.client.Model method) RepeatBatchSampler (class in determined.pytorch.samplers) RepeatSampler (class in determined.pytorch.samplers) ReproducibleShuffleBatchSampler (class in determined.pytorch.samplers) ReproducibleShuffleSampler (class in determined.pytorch.samplers) reset() (determined.pytorch.MetricReducer method) RFC RFC 7644 RunHook (class in determined.estimator) S S3Backend (class in model_hub.mmdetection) select_checkpoint() (determined.experimental.client.TrialReference method) session_config() (determined.keras.TFKerasTrial method) set_labels() (determined.experimental.client.Model method) set_profiler() (determined.pytorch.PyTorchTrialContext method) set_stop_requested() (determined.estimator.EstimatorTrialContext method) (determined.pytorch.PyTorchTrialContext method) (determined.TrialContext method) SkipBatchSampler (class in determined.pytorch.samplers) SkipSampler (class in determined.pytorch.samplers) state_dict() (determined.pytorch.PyTorchCallback method) STEP_EVERY_BATCH (determined.pytorch.LRScheduler.StepMode attribute) STEP_EVERY_EPOCH (determined.pytorch.LRScheduler.StepMode attribute) STEP_EVERY_OPTIMIZER_STEP (determined.pytorch.LRScheduler.StepMode attribute) step_optimizer() (determined.pytorch.PyTorchTrialContext method) SUM (determined.pytorch.Reducer attribute) T TensorBoard (class in determined.keras.callbacks) TFKerasExperimentalContext (class in determined.keras) TFKerasTrial (class in determined.keras) TFKerasTrialContext (class in determined.keras) to_device() (determined.pytorch.PyTorchTrialContext method) top_checkpoint() (determined.experimental.client.ExperimentReference method) (determined.experimental.client.TrialReference method) top_n_checkpoints() (determined.experimental.client.ExperimentReference method) TorchWriter (class in determined.tensorboard.metric_writers.pytorch) train_batch() (determined.pytorch.PyTorchTrial method) trial_context_class (determined.estimator.EstimatorTrial attribute) TrialContext (class in determined) TrialReference (class in determined.experimental.client) U UNSPECIFIED (determined.experimental.client.ModelSortBy attribute) use_amp() (determined.pytorch.PyTorchExperimentalContext method) W wait() (determined.experimental.client.ExperimentReference method) wrap_dataset() (determined.estimator.EstimatorTrialContext method) (determined.keras.TFKerasTrialContext method) wrap_lr_scheduler() (determined.pytorch.PyTorchTrialContext method) wrap_model() (determined.keras.TFKerasTrialContext method) (determined.pytorch.PyTorchTrialContext method) wrap_optimizer() (determined.estimator.EstimatorTrialContext method) (determined.keras.TFKerasTrialContext method) (determined.pytorch.PyTorchTrialContext method) wrap_reducer() (determined.pytorch.PyTorchTrialContext method) wrap_scaler() (determined.pytorch.PyTorchTrialContext method)