Index _ | A | B | C | D | E | F | G | H | I | K | L | M | N | O | P | R | S | T | U | V | W _ __init__() (determined.keras.TFKerasTrial method) (determined.pytorch.deepspeed.DeepSpeedTrial method) (determined.pytorch.LRScheduler method) (determined.pytorch.PyTorchTrial method) A acknowledge_out_of_ops() (determined.core.SearcherContext method) acknowledge_preemption_signal() (determined.core.PreemptContext method) add_bindings() (determined.experimental.client.ResourcePool method) add_label() (determined.experimental.client.Experiment method) add_metadata() (determined.experimental.client.Checkpoint method) (determined.experimental.client.Model method) add_note() (determined.experimental.client.Project method) add_oauth_client() (in module determined.experimental.client) admin (determined.experimental.client.User attribute) agent_gid (determined.experimental.client.User attribute) agent_group (determined.experimental.client.User attribute) agent_id (determined.ClusterInfo attribute) agent_uid (determined.experimental.client.User attribute) agent_user (determined.experimental.client.User attribute) allgather() (determined.core.DistributedContext method) allgather_local() (determined.core.DistributedContext method) allocation_id (determined.ClusterInfo attribute) (determined.experimental.client.Checkpoint attribute) archive() (determined.experimental.client.Model method) (determined.experimental.client.Project method) archived (determined.experimental.client.Experiment attribute) (determined.experimental.client.Project attribute) AUTO (determined.experimental.client.DownloadMode attribute) AVG (determined.pytorch.Reducer attribute) await_first_trial() (determined.experimental.client.Experiment method) B backward() (determined.pytorch.PyTorchTrialContext method) BaseTransformerTrial (class in model_hub.huggingface) batch_metrics (determined.experimental.client.TrialMetrics attribute) broadcast() (determined.core.DistributedContext method) broadcast_local() (determined.core.DistributedContext method) build_callbacks() (determined.pytorch.deepspeed.DeepSpeedTrial method) (determined.pytorch.PyTorchTrial method) build_default_lr_scheduler() (in module model_hub.huggingface) build_default_optimizer() (in module model_hub.huggingface) build_model() (determined.keras.TFKerasTrial method) build_training_data_loader() (determined.keras.TFKerasTrial method) (determined.pytorch.deepspeed.DeepSpeedTrial 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.PyTorchTrial method) C Callback (class in determined.keras.callbacks) change_password() (determined.experimental.client.User method) Checkpoint (class in determined.experimental.client) checkpoint (determined.experimental.model.ModelVersion attribute) CheckpointContext (class in determined.core) Close (class in determined.searcher) cluster_id (determined.ClusterInfo attribute) ClusterInfo (class in determined) config (determined.experimental.client.Experiment attribute) 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) create_project() (determined.experimental.client.Workspace method) create_user() (determined.experimental.client.Determined method) (in module determined.experimental.client) create_workspace() (determined.experimental.client.Determined method) (in module determined.experimental.client) CREATION_TIME (determined.experimental.client.ModelSortBy attribute) cross_slot_reduce() (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.Experiment method) (determined.experimental.client.Model method) (determined.experimental.model.ModelVersion method) delete_project() (determined.experimental.client.Workspace method) delete_tensorboard_files() (determined.experimental.client.Experiment method) delete_workspace() (determined.experimental.client.Determined method) (in module determined.experimental.client) description (determined.experimental.client.Experiment attribute) DESCRIPTION (determined.experimental.client.ModelSortBy attribute) description (determined.experimental.client.Project 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) display_name (determined.experimental.client.User attribute) 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) download_code() (determined.experimental.client.Experiment method) DownloadMode (class in determined.experimental.client) E EarlyStopping (class in determined.keras.callbacks) end_time (determined.experimental.client.TrialMetrics attribute) evaluate_batch() (determined.pytorch.deepspeed.DeepSpeedTrial method) (determined.pytorch.PyTorchTrial method) evaluate_full_dataset() (determined.pytorch.PyTorchTrial method) evaluation_reducer() (determined.pytorch.PyTorchTrial method) ExitedReason (class in determined.searcher) Experiment (class in determined.experimental.client) experiment_id (determined.experimental.client.Trial attribute) (determined.TrialInfo attribute) F failures (determined.searcher.SearcherState attribute) fit() (determined.pytorch.Trainer method) from_config() (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.PyTorchTrial method) get_checkpoint() (determined.experimental.client.Determined method) (in module determined.experimental.client) get_checkpoints() (determined.experimental.client.Trial method) get_cluster_info() (in module determined) get_configured_units() (determined.core.SearcherContext method) get_data_config() (determined.keras.TFKerasTrialContext method) (determined.pytorch.deepspeed.DeepSpeedTrialContext method) (determined.pytorch.PyTorchTrialContext method) get_distributed_rank() (determined.pytorch.experimental.TorchBatchProcessorContext method) get_distributed_size() (determined.pytorch.experimental.TorchBatchProcessorContext method) get_enable_tensorboard_logging() (determined.pytorch.deepspeed.DeepSpeedTrialContext method) (determined.pytorch.PyTorchTrialContext method) get_experiment() (determined.experimental.client.Determined method) (determined.experimental.client.Trial method) (in module determined.experimental.client) get_experiment_best_validation() (determined.core.TrainContext method) get_experiment_config() (determined.keras.TFKerasTrialContext method) (determined.pytorch.deepspeed.DeepSpeedTrialContext method) get_experiment_id() (determined.keras.TFKerasTrialContext method) (determined.pytorch.deepspeed.DeepSpeedTrialContext method) (determined.pytorch.PyTorchTrialContext method) get_global_batch_size() (determined.keras.TFKerasTrialContext method) (determined.pytorch.PyTorchTrialContext method) get_hparam() (determined.keras.TFKerasTrialContext method) (determined.pytorch.deepspeed.DeepSpeedTrialContext method) (determined.pytorch.PyTorchTrialContext method) get_hparams() (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) (determined.core.TrainContext method) get_metrics() (determined.experimental.client.Checkpoint method) get_model() (determined.experimental.client.Determined method) (in module determined.experimental.client) get_model_by_id() (determined.experimental.client.Determined method) (in module determined.experimental.client) get_model_labels() (determined.experimental.client.Determined method) (in module determined.experimental.client) get_models() (in module determined.experimental.client) get_num_agents() (determined.core.DistributedContext method) get_pachyderm_commit() (determined.experimental.client.Checkpoint method) get_pachyderm_config() (determined.experimental.client.Experiment method) get_per_slot_batch_size() (determined.keras.TFKerasTrialContext method) (determined.pytorch.PyTorchTrialContext method) get_pretrained_ckpt_path() (in module model_hub.mmdetection) get_project() (determined.experimental.client.Workspace method) get_rank() (determined.core.DistributedContext method) get_session_username() (in module determined.experimental.client) get_size() (determined.core.DistributedContext method) get_state() (determined.keras.callbacks.Callback method) get_stop_requested() (determined.keras.TFKerasTrialContext method) (determined.pytorch.deepspeed.DeepSpeedTrialContext method) (determined.pytorch.PyTorchTrialContext method) get_tensorboard_path() (determined.core.TrainContext method) (determined.keras.TFKerasTrialContext method) (determined.pytorch.deepspeed.DeepSpeedTrialContext method) (determined.pytorch.experimental.TorchBatchProcessorContext 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.keras.TFKerasTrialContext method) (determined.pytorch.deepspeed.DeepSpeedTrialContext method) (determined.pytorch.PyTorchTrialContext method) get_user_by_id() (in module determined.experimental.client) get_user_by_name() (in module determined.experimental.client) get_version() (determined.experimental.client.Model method) get_workspace() (in module determined.experimental.client) gpu_uuids (determined.ClusterInfo property) group (determined.experimental.client.TrialMetrics attribute) H hparams (determined.experimental.client.Trial attribute) (determined.TrialInfo attribute) I id (determined.experimental.client.Experiment attribute) (determined.experimental.client.Project attribute) (determined.experimental.client.Workspace attribute) 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) iter_logs() (determined.experimental.client.Trial method) iter_metrics() (determined.experimental.client.Trial method) (determined.experimental.model.ModelVersion method) iter_trials() (determined.experimental.client.Experiment method) iter_trials_metrics() (determined.experimental.client.Determined method) (in module determined.experimental.client) K keras_callbacks() (determined.keras.TFKerasTrial method) key (determined.experimental.client.Project attribute) L labels (determined.experimental.client.Experiment attribute) LAST_UPDATED_TIME (determined.experimental.client.ModelSortBy attribute) latest_checkpoint (determined.ClusterInfo property) list_checkpoints() (determined.experimental.client.Experiment method) (determined.experimental.client.Trial method) list_experiments() (determined.experimental.client.Determined method) (in module determined.experimental.client) list_models() (determined.experimental.client.Determined method) (in module determined.experimental.client) list_oauth_clients() (in module determined.experimental.client) list_pools() (determined.experimental.client.Workspace method) list_projects() (determined.experimental.client.Workspace method) list_trials() (determined.experimental.client.Experiment method) list_users() (in module determined.experimental.client) list_versions() (determined.experimental.client.Model method) list_workspaces() (determined.experimental.client.ResourcePool method) (in module determined.experimental.client) load() (determined.pytorch.deepspeed.DeepSpeedTrial method) (determined.searcher.SearchMethod method) 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) logout() (determined.experimental.client.Determined method) (in module determined.experimental.client) logs() (determined.experimental.client.Trial method) LRScheduler (class in determined.pytorch) LRScheduler.StepMode (class in determined.pytorch) LRSchedulerKwargs (class in model_hub.huggingface) M 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) metadata (determined.experimental.client.Checkpoint attribute) (determined.experimental.model.ModelVersion attribute) MetricReducer (class in determined.pytorch) metrics (determined.experimental.client.TrialMetrics 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 model_id (determined.experimental.model.ModelVersion attribute) model_name (determined.experimental.model.ModelVersion attribute) model_version (determined.experimental.model.ModelVersion attribute) ModelKwargs (class in model_hub.huggingface) ModelParallelUnit (class in determined.pytorch.deepspeed) ModelSortBy (class in determined.experimental.client) ModelVersion (class in determined.experimental.model) module determined.core determined.experimental.client determined.pytorch.samplers model_hub.huggingface model_hub.mmdetection move_to_project() (determined.experimental.client.Experiment method) N n_active_experiments (determined.experimental.client.Project attribute) n_experiments (determined.experimental.client.Project attribute) name (determined.experimental.client.Experiment attribute) NAME (determined.experimental.client.ModelSortBy attribute) name (determined.experimental.client.Project attribute) (determined.experimental.client.ResourcePool attribute) (determined.experimental.client.Workspace attribute) (determined.experimental.model.ModelVersion attribute) Note (determined.experimental.client.Checkpoint attribute) notes (determined.experimental.client.Experiment attribute) (determined.experimental.client.Project attribute) O off() (determined.core.ProfilerContext method) on() (determined.core.ProfilerContext method) on_checkpoint_end() (determined.keras.callbacks.Callback method) (determined.pytorch.PyTorchCallback method) on_checkpoint_load_start() (determined.pytorch.PyTorchCallback method) on_checkpoint_save_start() (determined.pytorch.PyTorchCallback method) on_checkpoint_start() (determined.pytorch.experimental.TorchBatchProcessor method) on_checkpoint_upload_end() (determined.pytorch.PyTorchCallback method) on_checkpoint_write_end() (determined.pytorch.PyTorchCallback method) on_finish() (determined.pytorch.experimental.TorchBatchProcessor 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_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) OrderBy (class in determined.experimental.client) 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) prepare_model_for_inference() (determined.pytorch.experimental.TorchBatchProcessorContext method) process_batch() (determined.pytorch.experimental.TorchBatchProcessor method) ProfilerContext (class in determined.core) Progress (class in determined.searcher) progress (determined.experimental.client.Experiment attribute) progress() (determined.searcher.SearchMethod method) Project (class in determined.experimental.client) project_id (determined.experimental.client.Experiment attribute) 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) reload() (determined.experimental.client.Checkpoint method) (determined.experimental.client.Experiment method) (determined.experimental.client.Model method) (determined.experimental.client.Trial method) remote (determined.experimental.client.User attribute) RemoteSearchRunner (class in determined.searcher) remove_bindings() (determined.experimental.client.ResourcePool method) remove_files() (determined.experimental.client.Checkpoint method) remove_label() (determined.experimental.client.Experiment method) remove_metadata() (determined.experimental.client.Checkpoint method) (determined.experimental.client.Model method) remove_note() (determined.experimental.client.Project method) remove_oauth_client() (in module determined.experimental.client) RepeatBatchSampler (class in determined.pytorch.samplers) RepeatSampler (class in determined.pytorch.samplers) replace_bindings() (determined.experimental.client.ResourcePool method) report_early_exit() (determined.core.TrainContext method) report_metrics() (determined.core.TrainContext method) (determined.pytorch.experimental.TorchBatchProcessorContext method) report_task_using_checkpoint() (determined.pytorch.experimental.TorchBatchProcessorContext method) report_task_using_model_version() (determined.pytorch.experimental.TorchBatchProcessorContext method) report_time (determined.experimental.client.Checkpoint attribute) 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) ResourcePool (class in determined.experimental.client) resources (determined.experimental.client.Checkpoint attribute) restore_path() (determined.core.CheckpointContext method) RFC RFC 7644 run() (determined.searcher.LocalSearchRunner method) (determined.searcher.RemoteSearchRunner method) 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.Trial method) session (determined.experimental.client.Checkpoint attribute) (determined.experimental.client.Experiment attribute) (determined.experimental.client.Trial attribute) (determined.experimental.client.User attribute) (determined.experimental.model.ModelVersion attribute) session_config() (determined.keras.TFKerasTrial method) session_token (determined.ClusterInfo attribute) set_description() (determined.experimental.client.Experiment method) (determined.experimental.client.Project method) set_enable_tensorboard_logging() (determined.pytorch.deepspeed.DeepSpeedTrialContext method) (determined.pytorch.PyTorchTrialContext method) set_key() (determined.experimental.client.Project method) set_labels() (determined.experimental.client.Experiment method) (determined.experimental.client.Model method) set_metadata() (determined.core.TrainContext method) set_mpu() (determined.pytorch.deepspeed.DeepSpeedTrialContext method) set_name() (determined.experimental.client.Experiment method) (determined.experimental.client.Project method) (determined.experimental.model.ModelVersion method) set_notes() (determined.experimental.client.Experiment method) (determined.experimental.model.ModelVersion method) set_profiler() (determined.pytorch.deepspeed.DeepSpeedTrialContext method) (determined.pytorch.PyTorchTrialContext method) set_status() (determined.core.TrainContext method) set_stop_requested() (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 (determined.experimental.client.Checkpoint attribute) (determined.experimental.client.Experiment attribute) (determined.experimental.client.Trial 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.TrialMetrics attribute) store_path() (determined.core.CheckpointContext method) SUM (determined.pytorch.Reducer attribute) summary_metrics (determined.experimental.client.Trial attribute) T task_id (determined.ClusterInfo attribute) (determined.experimental.client.Checkpoint 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.experimental.TorchBatchProcessorContext method) (determined.pytorch.PyTorchTrialContext method) top_checkpoint() (determined.experimental.client.Experiment method) (determined.experimental.client.Trial method) top_n_checkpoints() (determined.experimental.client.Experiment method) torch_batch_process() (in module determined.pytorch.experimental) TorchBatchProcessor (class in determined.pytorch.experimental) TorchBatchProcessorContext (class in determined.pytorch.experimental) train_batch() (determined.pytorch.deepspeed.DeepSpeedTrial method) (determined.pytorch.PyTorchTrial method) TrainContext (class in determined.core) Trainer (class in determined.pytorch) training (determined.experimental.client.Checkpoint attribute) Trial (class in determined.experimental.client) trial (determined.ClusterInfo property) trial_context_class (determined.pytorch.deepspeed.DeepSpeedTrial attribute) (determined.pytorch.PyTorchTrial attribute) trial_controller_class (determined.pytorch.deepspeed.DeepSpeedTrial attribute) trial_id (determined.experimental.client.Trial attribute) (determined.experimental.client.TrialMetrics attribute) (determined.TrialInfo attribute) trial_progress (determined.searcher.SearcherState attribute) trial_run_id (determined.experimental.client.TrialMetrics attribute) trial_seed (determined.TrialInfo attribute) TrialInfo (class in determined) TrialMetrics (class in determined.experimental.client) trials_closed (determined.searcher.SearcherState attribute) trials_created (determined.searcher.SearcherState attribute) U unarchive() (determined.experimental.client.Model method) (determined.experimental.client.Project method) upload() (determined.core.CheckpointContext method) upload_path() (determined.pytorch.experimental.TorchBatchProcessorContext method) upload_tensorboard_files() (determined.core.TrainContext method) use_amp() (determined.pytorch.PyTorchExperimentalContext method) User (class in determined.experimental.client) user_data (determined.ClusterInfo property) user_id (determined.experimental.client.User attribute) username (determined.experimental.client.Project attribute) (determined.experimental.client.User attribute) uuid (determined.experimental.client.Checkpoint attribute) V ValidateAfter (class in determined.searcher) W wait() (determined.experimental.client.Experiment method) whoami() (in module determined.experimental.client) Workspace (class in determined.experimental.client) WORKSPACE (determined.experimental.client.ModelSortBy attribute) workspace_id (determined.experimental.client.Experiment attribute) (determined.experimental.client.Project attribute) wrap_dataset() (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.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)