Index _ | A | B | C | D | E | F | G | H | I | K | L | M | N | O | P | R | S | T | U | V | W _ __init__() (determined.estimator.EstimatorTrial method) (determined.keras.TFKerasTrial method) (determined.pytorch.deepspeed.DeepSpeedTrial method) (determined.pytorch.lightning.LightningAdapter method) (determined.pytorch.LRScheduler method) (determined.pytorch.PyTorchTrial method) A accumulate() (determined.estimator.MetricReducer method) acknowledge_out_of_ops() (determined.core.SearcherContext method) acknowledge_preemption_signal() (determined.core.PreemptContext method) add_metadata() (determined.experimental.client.Checkpoint method) (determined.experimental.client.Model method) agent_id (determined.ClusterInfo attribute) allgather() (determined.core.DistributedContext method) allgather_local() (determined.core.DistributedContext method) allocation_id (determined.ClusterInfo attribute) archive() (determined.experimental.client.Model method) AUTO (determined.experimental.client.DownloadMode attribute) AVG (determined.pytorch.Reducer attribute) await_first_trial() (determined.experimental.client.ExperimentReference method) B backward() (determined.pytorch.PyTorchTrialContext method) BaseTransformerTrial (class in model_hub.huggingface) batch_metrics (determined.experimental.client.TrainingMetrics attribute) broadcast() (determined.core.DistributedContext method) broadcast_local() (determined.core.DistributedContext method) build_callbacks() (determined.pytorch.deepspeed.DeepSpeedTrial method) (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.deepspeed.DeepSpeedTrial 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.deepspeed.DeepSpeedTrial method) (determined.pytorch.lightning.LightningAdapter method) (determined.pytorch.PyTorchTrial method) build_validation_spec() (determined.estimator.EstimatorTrial method) C Callback (class in determined.keras.callbacks) Checkpoint (class in determined.experimental.client) CheckpointContext (class in determined.core) Close (class in determined.searcher) cluster_id (determined.ClusterInfo attribute) ClusterInfo (class in determined) ConfigKwargs (class in model_hub.huggingface) configure_apex_amp() (determined.pytorch.PyTorchTrialContext method) configure_fit() (determined.keras.TFKerasTrialContext method) configure_profiler() (determined.pytorch.Trainer method) container_addrs (determined.ClusterInfo property) container_rank (determined.ClusterInfo property) container_slot_counts (determined.ClusterInfo property) Context (class in determined.core) Create (class in determined.searcher) 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.deepspeed.DeepSpeedTrialContext method) (determined.pytorch.PyTorchTrialContext method) D DataLoader (class in determined.pytorch) DatasetKwargs (class in model_hub.huggingface) DeepSpeedTrial (class in determined.pytorch.deepspeed) DeepSpeedTrialContext (class in determined.pytorch.deepspeed) 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.core.CheckpointContext method) (determined.experimental.client.Checkpoint method) (determined.experimental.client.ExperimentReference method) (determined.experimental.client.Model method) DESCRIPTION (determined.experimental.client.ModelSortBy attribute) Determined (class in determined.experimental.client) determined.core module determined.experimental.client module determined.pytorch.samplers module DIRECT (determined.experimental.client.DownloadMode attribute) disable_auto_grad_accumulation() (determined.pytorch.deepspeed.DeepSpeedTrialContext method) disable_auto_to_device() (determined.pytorch.PyTorchExperimentalContext method) disable_dataset_reproducibility_checks() (determined.pytorch.deepspeed.DeepSpeedTrialContext method) (determined.pytorch.PyTorchExperimentalContext method) DistributedBatchSampler (class in determined.pytorch.samplers) DistributedContext (class in determined.core) DistributedSampler (class in determined.pytorch.samplers) download() (determined.core.CheckpointContext method) (determined.experimental.client.Checkpoint method) DownloadMode (class in determined.experimental.client) E EarlyStopping (class in determined.keras.callbacks) end_time (determined.experimental.client.TrainingMetrics attribute) (determined.experimental.client.ValidationMetrics attribute) EstimatorExperimentalContext (class in determined.estimator) EstimatorTrial (class in determined.estimator) EstimatorTrialContext (class in determined.estimator) evaluate_batch() (determined.pytorch.deepspeed.DeepSpeedTrial method) (determined.pytorch.PyTorchTrial method) evaluate_full_dataset() (determined.pytorch.PyTorchTrial method) evaluation_reducer() (determined.pytorch.lightning.LightningAdapter method) (determined.pytorch.PyTorchTrial method) ExitedReason (class in determined.searcher) experiment_id (determined.TrialInfo attribute) ExperimentReference (class in determined.experimental.client) F failures (determined.searcher.SearcherState attribute) fit() (determined.pytorch.Trainer method) from_config() (determined.estimator.EstimatorTrialContext class method) (determined.keras.TFKerasTrialContext class method) (determined.pytorch.deepspeed.DeepSpeedTrialContext class method) from_deepspeed() (determined.core.DistributedContext class method) from_horovod() (determined.core.DistributedContext class method) from_torch_distributed() (determined.core.DistributedContext class method) G gather() (determined.core.DistributedContext method) gather_local() (determined.core.DistributedContext method) 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_checkpoints() (determined.experimental.client.TrialReference method) get_cluster_info() (in module determined) get_configured_units() (determined.core.SearcherContext method) get_data_config() (determined.estimator.EstimatorTrialContext method) (determined.keras.TFKerasTrialContext method) (determined.pytorch.deepspeed.DeepSpeedTrialContext method) (determined.pytorch.PyTorchTrialContext method) get_experiment() (determined.experimental.client.Determined method) (in module determined.experimental.client) get_experiment_best_validation() (determined.core.TrainContext method) get_experiment_config() (determined.estimator.EstimatorTrialContext method) (determined.keras.TFKerasTrialContext method) (determined.pytorch.deepspeed.DeepSpeedTrialContext method) get_experiment_id() (determined.estimator.EstimatorTrialContext method) (determined.keras.TFKerasTrialContext method) (determined.pytorch.deepspeed.DeepSpeedTrialContext method) (determined.pytorch.PyTorchTrialContext method) get_global_batch_size() (determined.estimator.EstimatorTrialContext method) (determined.keras.TFKerasTrialContext method) (determined.pytorch.PyTorchTrialContext method) get_hparam() (determined.estimator.EstimatorTrialContext method) (determined.keras.TFKerasTrialContext method) (determined.pytorch.deepspeed.DeepSpeedTrialContext method) (determined.pytorch.PyTorchTrialContext method) get_hparams() (determined.estimator.EstimatorTrialContext method) (determined.keras.TFKerasTrialContext method) (determined.pytorch.deepspeed.DeepSpeedTrialContext method) get_local_path() (model_hub.mmdetection.GCSBackend method) (model_hub.mmdetection.S3Backend method) get_local_rank() (determined.core.DistributedContext method) get_metadata() (determined.core.CheckpointContext method) get_model() (determined.experimental.client.Determined method) (in module determined.experimental.client) get_model_by_id() (determined.experimental.client.Determined method) get_model_labels() (determined.experimental.client.Determined method) get_models() (determined.experimental.client.Determined method) (in module determined.experimental.client) get_num_agents() (determined.core.DistributedContext method) get_per_slot_batch_size() (determined.estimator.EstimatorTrialContext method) (determined.keras.TFKerasTrialContext method) (determined.pytorch.PyTorchTrialContext method) get_pretrained_ckpt_path() (in module model_hub.mmdetection) get_rank() (determined.core.DistributedContext method) get_size() (determined.core.DistributedContext method) get_state() (determined.keras.callbacks.Callback method) get_stop_requested() (determined.estimator.EstimatorTrialContext method) (determined.keras.TFKerasTrialContext method) (determined.pytorch.deepspeed.DeepSpeedTrialContext method) (determined.pytorch.PyTorchTrialContext method) get_tensorboard_path() (determined.core.TrainContext method) (determined.estimator.EstimatorTrialContext method) (determined.keras.TFKerasTrialContext method) (determined.pytorch.deepspeed.DeepSpeedTrialContext method) (determined.pytorch.PyTorchTrialContext method) get_tensorboard_writer() (determined.pytorch.deepspeed.DeepSpeedTrialContext method) (determined.pytorch.PyTorchTrialContext method) get_trial() (determined.experimental.client.Determined method) (in module determined.experimental.client) get_trial_id() (determined.estimator.EstimatorTrialContext method) (determined.keras.TFKerasTrialContext method) (determined.pytorch.deepspeed.DeepSpeedTrialContext method) (determined.pytorch.PyTorchTrialContext method) get_trials() (determined.experimental.client.ExperimentReference method) get_version() (determined.experimental.client.Model method) get_versions() (determined.experimental.client.Model method) gpu_uuids (determined.ClusterInfo property) H hparams (determined.TrialInfo attribute) I import_from_path() (in module determined) init() (in module determined.core) (in module determined.pytorch) initial_operations() (determined.searcher.SearchMethod method) is_epoch_end() (determined.pytorch.deepspeed.DeepSpeedTrialContext method) (determined.pytorch.PyTorchTrialContext method) is_epoch_start() (determined.pytorch.deepspeed.DeepSpeedTrialContext method) (determined.pytorch.PyTorchTrialContext method) K keras_callbacks() (determined.keras.TFKerasTrial method) L LAST_UPDATED_TIME (determined.experimental.client.ModelSortBy attribute) latest_checkpoint (determined.ClusterInfo property) LightningAdapter (class in determined.pytorch.lightning) load() (determined.pytorch.deepspeed.DeepSpeedTrial method) (determined.searcher.SearchMethod method) load_estimator_from_checkpoint_path (class in determined.estimator) load_method_state() (determined.searcher.SearchMethod method) load_model_from_checkpoint_path (class in determined.keras) load_state() (determined.keras.callbacks.Callback method) load_state_dict() (determined.pytorch.PyTorchCallback method) load_trial_from_checkpoint_path() (in module determined.pytorch) LocalSearchRunner (class in determined.searcher) login() (in module determined.experimental.client) logs() (determined.experimental.client.TrialReference method) 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) MASTER (determined.experimental.client.DownloadMode attribute) master_cert_file (determined.ClusterInfo attribute) master_cert_name (determined.ClusterInfo attribute) master_url (determined.ClusterInfo attribute) MAX (determined.pytorch.Reducer attribute) MetricReducer (class in determined.estimator) (class in determined.pytorch) metrics (determined.experimental.client.TrainingMetrics attribute) (determined.experimental.client.ValidationMetrics attribute) 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) ModelParallelUnit (class in determined.pytorch.deepspeed) ModelSortBy (class in determined.experimental.client) module determined.core 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_checkpoint_upload_end() (determined.pytorch.PyTorchCallback method) on_checkpoint_write_end() (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_end() (determined.pytorch.PyTorchCallback method) on_training_epoch_start() (determined.pytorch.PyTorchCallback method) on_training_start() (determined.pytorch.PyTorchCallback method) on_training_workload_end() (determined.pytorch.PyTorchCallback method) on_trial_close() (determined.estimator.RunHook method) on_trial_closed() (determined.searcher.SearchMethod method) on_trial_created() (determined.searcher.SearchMethod method) on_trial_exited_early() (determined.searcher.SearchMethod method) on_trial_shutdown() (determined.pytorch.PyTorchCallback method) on_trial_startup() (determined.pytorch.PyTorchCallback method) on_validation_completed() (determined.searcher.SearchMethod 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) Operation (class in determined.searcher) operations() (determined.core.SearcherContext method) OptimizerKwargs (class in model_hub.huggingface) overwrite_deepspeed_config() (in module determined.pytorch.deepspeed) P per_slot_reduce() (determined.pytorch.MetricReducer method) PreemptContext (class in determined.core) PreemptMode (class in determined.core) Progress (class in determined.searcher) progress() (determined.searcher.SearchMethod 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) RemoteSearchRunner (class in determined.searcher) remove_files() (determined.experimental.client.Checkpoint 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) report_early_exit() (determined.core.TrainContext method) report_training_metrics() (determined.core.TrainContext method) report_validation_metrics() (determined.core.TrainContext method) ReproducibleShuffleBatchSampler (class in determined.pytorch.samplers) ReproducibleShuffleSampler (class in determined.pytorch.samplers) reset() (determined.pytorch.MetricReducer method) restore_path() (determined.core.CheckpointContext method) RFC RFC 7644 run() (determined.searcher.LocalSearchRunner method) (determined.searcher.RemoteSearchRunner method) RunHook (class in determined.estimator) S S3Backend (class in model_hub.mmdetection) save() (determined.pytorch.deepspeed.DeepSpeedTrial method) (determined.searcher.SearchMethod method) save_method_state() (determined.searcher.SearchMethod method) SearcherContext (class in determined.core) SearcherMode (class in determined.core) SearcherOperation (class in determined.core) SearcherState (class in determined.searcher) SearchMethod (class in determined.searcher) select_checkpoint() (determined.experimental.client.TrialReference method) session_config() (determined.keras.TFKerasTrial method) session_token (determined.ClusterInfo attribute) set_labels() (determined.experimental.client.Model method) set_mpu() (determined.pytorch.deepspeed.DeepSpeedTrialContext method) set_profiler() (determined.pytorch.PyTorchTrialContext method) set_status() (determined.core.TrainContext method) set_stop_requested() (determined.estimator.EstimatorTrialContext method) (determined.keras.TFKerasTrialContext method) (determined.pytorch.deepspeed.DeepSpeedTrialContext method) (determined.pytorch.PyTorchTrialContext method) should_preempt() (determined.core.PreemptContext method) Shutdown (class in determined.searcher) SkipBatchSampler (class in determined.pytorch.samplers) SkipSampler (class in determined.pytorch.samplers) slot_ids (determined.ClusterInfo attribute) 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) steps_completed (determined.experimental.client.TrainingMetrics attribute) (determined.experimental.client.ValidationMetrics attribute) store_path() (determined.core.CheckpointContext method) stream_training_metrics() (determined.experimental.client.TrialReference method) stream_trials_training_metrics() (determined.experimental.client.Determined method) (in module determined.experimental.client) stream_trials_validation_metrics() (determined.experimental.client.Determined method) (in module determined.experimental.client) stream_validation_metrics() (determined.experimental.client.TrialReference method) SUM (determined.pytorch.Reducer attribute) T task_id (determined.ClusterInfo attribute) task_type (determined.ClusterInfo attribute) TensorBoard (class in determined.keras.callbacks) TensorboardMode (class in determined.core) TFKerasExperimentalContext (class in determined.keras) TFKerasTrial (class in determined.keras) TFKerasTrialContext (class in determined.keras) to_device() (determined.pytorch.deepspeed.DeepSpeedTrialContext method) (determined.pytorch.PyTorchTrialContext method) top_checkpoint() (determined.experimental.client.ExperimentReference method) (determined.experimental.client.TrialReference method) top_n_checkpoints() (determined.experimental.client.ExperimentReference method) train_batch() (determined.pytorch.deepspeed.DeepSpeedTrial method) (determined.pytorch.PyTorchTrial method) TrainContext (class in determined.core) Trainer (class in determined.pytorch) TrainingMetrics (class in determined.experimental.client) trial (determined.ClusterInfo property) trial_context_class (determined.estimator.EstimatorTrial attribute) (determined.pytorch.deepspeed.DeepSpeedTrial attribute) (determined.pytorch.PyTorchTrial attribute) trial_controller_class (determined.pytorch.deepspeed.DeepSpeedTrial attribute) trial_id (determined.experimental.client.TrainingMetrics attribute) (determined.experimental.client.ValidationMetrics attribute) (determined.TrialInfo attribute) trial_progress (determined.searcher.SearcherState attribute) trial_run_id (determined.experimental.client.TrainingMetrics attribute) (determined.experimental.client.ValidationMetrics attribute) trial_seed (determined.TrialInfo attribute) TrialInfo (class in determined) TrialReference (class in determined.experimental.client) trials_closed (determined.searcher.SearcherState attribute) trials_created (determined.searcher.SearcherState attribute) U unarchive() (determined.experimental.client.Model method) UNSPECIFIED (determined.experimental.client.ModelSortBy attribute) upload() (determined.core.CheckpointContext method) upload_tensorboard_files() (determined.core.TrainContext method) use_amp() (determined.pytorch.PyTorchExperimentalContext method) user_data (determined.ClusterInfo property) V ValidateAfter (class in determined.searcher) ValidationMetrics (class in determined.experimental.client) W wait() (determined.experimental.client.ExperimentReference method) WORKSPACE (determined.experimental.client.ModelSortBy attribute) 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_model_engine() (determined.pytorch.deepspeed.DeepSpeedTrialContext method) wrap_optimizer() (determined.estimator.EstimatorTrialContext method) (determined.keras.TFKerasTrialContext method) (determined.pytorch.PyTorchTrialContext method) wrap_reducer() (determined.pytorch.deepspeed.DeepSpeedTrialContext method) wrap_scaler() (determined.pytorch.PyTorchTrialContext method) write_metadata_file() (determined.experimental.client.Checkpoint method)
