Index Symbols | _ | A | B | C | D | E | F | G | H | I | K | L | M | N | O | P | R | S | T | U | W Symbols **kwargs (lightning.app.storage.path.Path parameter), [1] *args (lightning.app.storage.path.Path parameter), [1] _ _aggregate_status_timeout() (lightning.app.core.LightningWork method) _api_create_cloudspace_if_not_exists() (lightning.app.runners.cloud.CloudRuntime method) _api_create_run() (lightning.app.runners.cloud.CloudRuntime method) _api_create_run_instance() (lightning.app.runners.cloud.CloudRuntime method) _api_package_and_upload_repo() (lightning.app.runners.cloud.CloudRuntime static method) _api_stop_existing_run_instance() (lightning.app.runners.cloud.CloudRuntime method) _api_transfer_run_instance() (lightning.app.runners.cloud.CloudRuntime method) _attach_backend() (lightning.app.core.LightningFlow static method) _attach_queues() (lightning.app.storage.path.Path method) _attach_work() (lightning.app.storage.path.Path method) _exit() (lightning.app.core.LightningFlow method) _from_parts() (lightning.app.storage.path.Path class method) _get_auth() (lightning.app.runners.cloud.CloudRuntime static method) _get_drives() (lightning.app.runners.cloud.CloudRuntime static method) _get_env_vars() (lightning.app.runners.cloud.CloudRuntime static method) _get_flow_servers() (lightning.app.runners.cloud.CloudRuntime method) _get_mounts() (lightning.app.runners.cloud.CloudRuntime static method) _get_network_configs() (lightning.app.runners.cloud.CloudRuntime static method) _get_run_body() (lightning.app.runners.cloud.CloudRuntime method) _get_works() (lightning.app.runners.cloud.CloudRuntime method) _is_state_attribute() (lightning.app.core.LightningFlow static method) (lightning.app.core.LightningWork static method) _print_specs() (lightning.app.runners.cloud.CloudRuntime static method) _resolve_cloudspace() (lightning.app.runners.cloud.CloudRuntime method) _resolve_cloudspace_name() (lightning.app.runners.cloud.CloudRuntime method) _resolve_cluster_id() (lightning.app.runners.cloud.CloudRuntime method) _resolve_config() (lightning.app.runners.cloud.CloudRuntime method) _resolve_env_root() (lightning.app.runners.cloud.CloudRuntime method) _resolve_existing_cloudspaces() (lightning.app.runners.cloud.CloudRuntime method) _resolve_existing_run_instance() (lightning.app.runners.cloud.CloudRuntime method) _resolve_needs_credits() (lightning.app.runners.cloud.CloudRuntime static method) _resolve_open_ignore_functions() (lightning.app.runners.cloud.CloudRuntime method) _resolve_project() (lightning.app.runners.cloud.CloudRuntime method) _resolve_queue_server_type() (lightning.app.runners.cloud.CloudRuntime method) _resolve_repo() (lightning.app.runners.cloud.CloudRuntime method) _resolve_root() (lightning.app.runners.cloud.CloudRuntime method) _resolve_run_instances_by_name() (lightning.app.runners.cloud.CloudRuntime method) _resolve_run_name() (lightning.app.runners.cloud.CloudRuntime method) _run() (lightning.app.core.LightningApp method) _run_executor_cls (lightning.app.core.LightningWork attribute) _sanitize() (lightning.app.storage.path.Path method) _validate_cluster_id() (lightning.app.runners.cloud.CloudRuntime method) _validate_drives() (lightning.app.runners.cloud.CloudRuntime method) _validate_mounts() (lightning.app.runners.cloud.CloudRuntime method) _validate_repo() (lightning.app.runners.cloud.CloudRuntime static method) _validate_work_build_specs_and_compute() (lightning.app.runners.cloud.CloudRuntime method) A add_work() (lightning.app.components.serve.auto_scaler.AutoScaler method) alive() (lightning.app.components.database.server.Database method) allow_duplicates (lightning.app.storage.drive.Drive parameter), [1] apply_flow_delta() (lightning.app.core.LightningWork method) autoscale() (lightning.app.components.serve.auto_scaler.AutoScaler method) AutoScaler (class in lightning.app.components.serve.auto_scaler) B build_model() (lightning.app.components.serve.gradio_server.ServeGradio method) (lightning.app.components.serve.serve.ModelInferenceAPI method) (lightning.app.components.serve.streamlit.ServeStreamlit method) C cache_calls (lightning.app.components.serve.gradio_server.ServeGradio parameter), [1] (lightning.app.components.serve.streamlit.ServeStreamlit parameter), [1] (lightning.app.core.LightningWork parameter), [1] (lightning.app.core.LightningWork property) (lightning.app.core.work.LightningWork parameter) children_states (lightning.app.core.flow.LightningFlow.load_state_dict parameter) (lightning.app.core.LightningFlow.load_state_dict parameter) cloud_build_config (lightning.app.components.serve.gradio_server.ServeGradio parameter), [1] (lightning.app.components.serve.streamlit.ServeStreamlit parameter), [1] (lightning.app.core.LightningWork parameter), [1] (lightning.app.core.LightningWork property) (lightning.app.core.work.LightningWork parameter) cloud_compute (lightning.app.components.multi_node.base.MultiNode parameter), [1] (lightning.app.components.multi_node.fabric.FabricMultiNode parameter), [1] (lightning.app.components.multi_node.pytorch_spawn.PyTorchSpawnMultiNode parameter), [1] (lightning.app.components.multi_node.trainer.LightningTrainerMultiNode parameter), [1] (lightning.app.components.training.LightningTrainerScript parameter), [1] CloudRuntime (class in lightning.app.runners.cloud) cloudspace_dispatch() (lightning.app.runners.cloud.CloudRuntime method) cloudspace_id (lightning.app.runners.cloud.CloudRuntime.cloudspace_dispatch parameter) cluster_id (lightning.app.runners.cloud.CloudRuntime.cloudspace_dispatch parameter) code_dir (lightning.app.components.python.tracer.TracerPythonScript.run parameter) cold_start_proxy (lightning.app.components.serve.auto_scaler.AutoScaler parameter), [1] ColdStartProxy (class in lightning.app.components.serve.auto_scaler) colocation_group_id (lightning.app.utilities.packaging.cloud_compute.CloudCompute parameter), [1], [2] component_name (lightning.app.storage.drive.Drive parameter), [1] (lightning.app.storage.drive.Drive.get parameter) (lightning.app.storage.drive.Drive.list parameter) configure_api() (lightning.app.core.flow.LightningFlow method) (lightning.app.core.LightningFlow method) configure_commands() (lightning.app.core.flow.LightningFlow method) (lightning.app.core.LightningFlow method) configure_layout() (lightning.app.components.serve.auto_scaler.AutoScaler method) (lightning.app.components.serve.gradio_server.ServeGradio method) (lightning.app.components.serve.python_server.PythonServer method) (lightning.app.components.serve.serve.ModelInferenceAPI method) (lightning.app.components.serve.streamlit.ServeStreamlit method) (lightning.app.core.flow.LightningFlow method) (lightning.app.core.LightningFlow method) (lightning.app.core.LightningWork method) configure_tracer() (lightning.app.components.python.popen.PopenPythonScript method) (lightning.app.components.python.tracer.TracerPythonScript method) connect() (lightning.app.core.LightningApp method) consumer_name (lightning.app.storage.path.Path property) create_work() (lightning.app.components.serve.auto_scaler.AutoScaler method) cron_pattern (lightning.app.core.flow.LightningFlow.schedule parameter) (lightning.app.core.LightningFlow.schedule parameter) D Database (class in lightning.app.components.database.server) DatabaseClient (class in lightning.app.components.database.client) db_filename (lightning.app.components.database.server.Database parameter), [1] debug (lightning.app.components.database.server.Database parameter), [1] delete() (lightning.app.core.LightningWork method) (lightning.app.storage.drive.Drive method) disk_size (lightning.app.utilities.packaging.cloud_compute.CloudCompute parameter), [1], [2] dispatch() (lightning.app.runners.cloud.CloudRuntime method) (lightning.app.runners.multiprocess.MultiProcessRuntime method) display_name (lightning.app.core.LightningWork property) Drive (class in lightning.app.storage.drive) E endpoint (lightning.app.components.serve.auto_scaler.AutoScaler parameter), [1] entry_point (lightning.app.frontend.panel.PanelFrontend parameter), [1] env (lightning.app.components.python.popen.PopenPythonScript parameter), [1] (lightning.app.components.python.tracer.TracerPythonScript parameter), [1] exists() (lightning.app.storage.path.Path method) exists_local() (lightning.app.storage.path.Path method) exists_remote() (lightning.app.storage.path.Path method) experimental_iterate() (lightning.app.core.flow.LightningFlow method) (lightning.app.core.LightningFlow method) F FabricMultiNode (class in lightning.app.components.multi_node.fabric) fail() (lightning.app.core.flow.LightningFlow method) (lightning.app.core.LightningFlow method) flow_cloud_compute (lightning.app.core.app.LightningApp parameter) (lightning.app.core.LightningApp parameter), [1] flow_state (lightning.app.core.flow.LightningFlow.load_state_dict parameter) (lightning.app.core.LightningFlow.load_state_dict parameter) flows (lightning.app.core.flow.LightningFlow property) (lightning.app.core.LightningApp property) (lightning.app.core.LightningFlow property) from_dict() (lightning.app.storage.path.Path class method) Frontend (class in lightning.app.frontend.frontend) G get() (lightning.app.storage.drive.Drive method) get_component_by_name() (lightning.app.core.LightningApp method) get_work() (lightning.app.components.serve.auto_scaler.AutoScaler method) H handle_request() (lightning.app.components.serve.auto_scaler.ColdStartProxy method) has_failed (lightning.app.core.LightningWork property) has_started (lightning.app.core.LightningWork property) has_stopped (lightning.app.core.LightningWork property) has_succeeded (lightning.app.core.LightningWork property) has_timeout (lightning.app.core.LightningWork property) hash (lightning.app.storage.path.Path property) host (lightning.app.components.serve.gradio_server.ServeGradio parameter), [1] (lightning.app.components.serve.serve.ModelInferenceAPI parameter), [1] (lightning.app.components.serve.streamlit.ServeStreamlit parameter), [1] (lightning.app.core.LightningWork parameter), [1] (lightning.app.core.LightningWork property) (lightning.app.core.work.LightningWork parameter) (lightning.app.frontend.frontend.Frontend.start_server parameter) (lightning.app.frontend.panel.PanelFrontend.start_server parameter) (lightning.app.frontend.stream_lit.StreamlitFrontend.start_server parameter) (lightning.app.frontend.web.StaticWebFrontend.start_server parameter) I id (lightning.app.storage.drive.Drive parameter), [1] idle_timeout (lightning.app.utilities.packaging.cloud_compute.CloudCompute parameter), [1], [2] info (lightning.app.core.app.LightningApp parameter) (lightning.app.core.LightningApp parameter), [1] input (lightning.app.components.serve.serve.ModelInferenceAPI parameter), [1] input_type (lightning.app.components.serve.auto_scaler.AutoScaler parameter), [1] (lightning.app.components.serve.python_server.PythonServer parameter), [1] internal_ip (lightning.app.core.LightningWork property) interruptible (lightning.app.utilities.packaging.cloud_compute.CloudCompute parameter), [1], [2] is_pending (lightning.app.core.LightningWork property) is_running (lightning.app.core.LightningWork property) iterable (lightning.app.core.flow.LightningFlow.experimental_iterate parameter) (lightning.app.core.LightningFlow.experimental_iterate parameter) K kwargs (lightning.app.components.python.popen.PopenPythonScript parameter), [1] (lightning.app.components.python.tracer.TracerPythonScript parameter), [1] L last_state (lightning.app.core.LightningApp property) LightningApp (class in lightning.app.core) LightningFlow (class in lightning.app.core) (class in lightning.app.core.flow) lightningignore (lightning.app.core.flow.LightningFlow property) (lightning.app.core.LightningFlow property) (lightning.app.core.LightningWork property) LightningTrainerMultiNode (class in lightning.app.components.multi_node.trainer) LightningTrainerScript (class in lightning.app.components.training) LightningWork (class in lightning.app.core) list() (lightning.app.storage.drive.Drive method) load() (lightning.app.storage.payload.Payload method) load_app_from_file() (lightning.app.runners.cloud.CloudRuntime class method) load_state_dict() (lightning.app.core.flow.LightningFlow method) (lightning.app.core.LightningFlow method) local_build_config (lightning.app.components.serve.gradio_server.ServeGradio parameter), [1] (lightning.app.components.serve.streamlit.ServeStreamlit parameter), [1] (lightning.app.core.LightningWork parameter), [1] (lightning.app.core.work.LightningWork parameter) log_level (lightning.app.core.app.LightningApp parameter) (lightning.app.core.LightningApp parameter), [1] M max_batch_size (lightning.app.components.serve.auto_scaler.AutoScaler parameter), [1] max_replicas (lightning.app.components.serve.auto_scaler.AutoScaler parameter), [1] maybe_apply_changes() (lightning.app.core.LightningApp method) metrics (lightning.app.components.serve.auto_scaler.AutoScaler.scale parameter) min_replicas (lightning.app.components.serve.auto_scaler.AutoScaler parameter), [1] ModelInferenceAPI (class in lightning.app.components.serve.serve) models (lightning.app.components.database.server.Database parameter), [1] Mount (class in lightning.app.storage.mount) mount_path (lightning.app.storage.mount.Mount parameter), [1] mounts (lightning.app.utilities.packaging.cloud_compute.CloudCompute parameter), [1], [2] MultiNode (class in lightning.app.components.multi_node.base) MultiProcessRuntime (class in lightning.app.runners.multiprocess) N name (lightning.app.core.flow.LightningFlow property) (lightning.app.core.LightningFlow property) (lightning.app.core.LightningWork property) (lightning.app.runners.cloud.CloudRuntime.cloudspace_dispatch parameter) (lightning.app.utilities.packaging.cloud_compute.CloudCompute parameter), [1], [2] named_works (lightning.app.core.LightningApp property) named_works() (lightning.app.core.flow.LightningFlow method) (lightning.app.core.LightningFlow method) num_nodes (lightning.app.components.multi_node.base.MultiNode parameter), [1] (lightning.app.components.multi_node.fabric.FabricMultiNode parameter), [1] (lightning.app.components.multi_node.pytorch_spawn.PyTorchSpawnMultiNode parameter), [1] (lightning.app.components.multi_node.trainer.LightningTrainerMultiNode parameter), [1] (lightning.app.components.training.LightningTrainerScript parameter), [1] num_pending_requests (lightning.app.components.serve.auto_scaler.AutoScaler property) num_pending_works (lightning.app.components.serve.auto_scaler.AutoScaler property) num_successes (lightning.app.core.LightningWork property) num_timeouts (lightning.app.core.LightningWork property) O on_after_run() (lightning.app.components.python.popen.PopenPythonScript method) (lightning.app.components.python.tracer.TracerPythonScript method) on_before_run() (lightning.app.components.python.popen.PopenPythonScript method) (lightning.app.components.python.tracer.TracerPythonScript method) on_exception() (lightning.app.core.LightningWork method) on_exit() (lightning.app.components.database.server.Database method) (lightning.app.components.python.popen.PopenPythonScript method) (lightning.app.components.python.tracer.TracerPythonScript method) (lightning.app.components.serve.streamlit.ServeStreamlit method) (lightning.app.core.LightningWork method) open() (lightning.app.runners.cloud.CloudRuntime method) origin_name (lightning.app.storage.path.Path property) output (lightning.app.components.serve.serve.ModelInferenceAPI parameter), [1] output_type (lightning.app.components.serve.auto_scaler.AutoScaler parameter), [1] (lightning.app.components.serve.python_server.PythonServer parameter), [1] outputs (lightning.app.components.python.tracer.TracerPythonScript parameter), [1] overwrite (lightning.app.storage.drive.Drive.get parameter) P PanelFrontend (class in lightning.app.frontend.panel) parallel (lightning.app.components.serve.gradio_server.ServeGradio parameter), [1] (lightning.app.components.serve.streamlit.ServeStreamlit parameter), [1] (lightning.app.core.LightningWork parameter), [1] (lightning.app.core.LightningWork property) (lightning.app.core.work.LightningWork parameter) params (lightning.app.components.python.tracer.TracerPythonScript.run parameter) parent (lightning.app.storage.path.Path property) parents (lightning.app.storage.path.Path property) Path (class in lightning.app.storage.path) path (lightning.app.storage.drive.Drive.delete parameter) (lightning.app.storage.drive.Drive.get parameter) (lightning.app.storage.drive.Drive.list parameter) (lightning.app.storage.drive.Drive.put parameter) Payload (class in lightning.app.storage.payload) PopenPythonScript (class in lightning.app.components.python.popen) port (lightning.app.components.serve.gradio_server.ServeGradio parameter), [1] (lightning.app.components.serve.serve.ModelInferenceAPI parameter), [1] (lightning.app.components.serve.streamlit.ServeStreamlit parameter), [1] (lightning.app.core.LightningWork parameter), [1] (lightning.app.core.work.LightningWork parameter) (lightning.app.frontend.frontend.Frontend.start_server parameter) (lightning.app.frontend.panel.PanelFrontend.start_server parameter) (lightning.app.frontend.stream_lit.StreamlitFrontend.start_server parameter) (lightning.app.frontend.web.StaticWebFrontend.start_server parameter) predict() (lightning.app.components.serve.gradio_server.ServeGradio method) (lightning.app.components.serve.python_server.PythonServer method) (lightning.app.components.serve.serve.ModelInferenceAPI method) project_id (lightning.app.runners.cloud.CloudRuntime.cloudspace_dispatch parameter) protocol (lightning.app.storage.mount.Mount property) provided_state (lightning.app.core.LightningFlow.set_state parameter) proxy_url (lightning.app.components.serve.auto_scaler.ColdStartProxy parameter), [1] public_ip (lightning.app.core.LightningWork property) put() (lightning.app.storage.drive.Drive method) PythonServer (class in lightning.app.components.serve.python_server) PyTorchSpawnMultiNode (class in lightning.app.components.multi_node.pytorch_spawn) R raise_exception (lightning.app.components.serve.gradio_server.ServeGradio parameter), [1] (lightning.app.components.serve.streamlit.ServeStreamlit parameter), [1] (lightning.app.core.LightningWork parameter), [1] (lightning.app.core.work.LightningWork parameter) ready (lightning.app.components.serve.auto_scaler.AutoScaler property) (lightning.app.core.flow.LightningFlow property) (lightning.app.core.LightningFlow property) recurse (lightning.app.core.LightningFlow.set_state parameter) relative_to() (lightning.app.storage.path.Path method) remove_work() (lightning.app.components.serve.auto_scaler.AutoScaler method) render() (lightning.app.components.serve.streamlit.ServeStreamlit method) render_fn (lightning.app.frontend.stream_lit.StreamlitFrontend parameter), [1] replicas (lightning.app.components.serve.auto_scaler.AutoScaler.scale parameter) request (lightning.app.components.serve.auto_scaler.ColdStartProxy.handle_request parameter) restart_count (lightning.app.components.python.tracer.TracerPythonScript.run parameter) root (lightning.app.core.app.LightningApp parameter) (lightning.app.core.LightningApp parameter), [1] (lightning.app.core.LightningApp property) root_folder (lightning.app.storage.drive.Drive parameter), [1] root_path (lightning.app.core.app.LightningApp parameter) (lightning.app.core.LightningApp parameter), [1] (lightning.app.frontend.frontend.Frontend.start_server parameter) (lightning.app.frontend.panel.PanelFrontend.start_server parameter) (lightning.app.frontend.stream_lit.StreamlitFrontend.start_server parameter) (lightning.app.frontend.web.StaticWebFrontend parameter), [1] (lightning.app.frontend.web.StaticWebFrontend.start_server parameter) run() (lightning.app.components.database.server.Database method) (lightning.app.components.multi_node.base.MultiNode method) (lightning.app.components.python.popen.PopenPythonScript method) (lightning.app.components.python.tracer.TracerPythonScript method) (lightning.app.components.serve.auto_scaler.AutoScaler method) (lightning.app.components.serve.gradio_server.ServeGradio method) (lightning.app.components.serve.python_server.PythonServer method) (lightning.app.components.serve.serve.ModelInferenceAPI method) (lightning.app.components.serve.streamlit.ServeStreamlit method) (lightning.app.components.training.LightningTrainerScript method) (lightning.app.core.flow.LightningFlow method) (lightning.app.core.LightningFlow method) (lightning.app.core.LightningWork method) run_once (lightning.app.components.serve.gradio_server.ServeGradio parameter), [1] (lightning.app.components.serve.streamlit.ServeStreamlit parameter), [1] (lightning.app.core.flow.LightningFlow.experimental_iterate parameter) (lightning.app.core.LightningFlow.experimental_iterate parameter) (lightning.app.core.LightningWork parameter), [1] (lightning.app.core.work.LightningWork parameter) run_once() (lightning.app.core.LightningApp method) S sanity_serving (lightning.app.components.training.LightningTrainerScript parameter), [1] save() (lightning.app.storage.payload.Payload method) scale() (lightning.app.components.serve.auto_scaler.AutoScaler method) scale_in_interval (lightning.app.components.serve.auto_scaler.AutoScaler parameter), [1] scale_out_interval (lightning.app.components.serve.auto_scaler.AutoScaler parameter), [1] schedule() (lightning.app.core.flow.LightningFlow method) (lightning.app.core.LightningFlow method) script_args (lightning.app.components.training.LightningTrainerScript parameter), [1] script_path (lightning.app.components.python.popen.PopenPythonScript parameter), [1], [2], [3] (lightning.app.components.python.tracer.TracerPythonScript parameter), [1], [2], [3] (lightning.app.components.training.LightningTrainerScript parameter), [1] serve_dir (lightning.app.frontend.web.StaticWebFrontend parameter), [1] ServeGradio (class in lightning.app.components.serve.gradio_server) ServeStreamlit (class in lightning.app.components.serve.streamlit) set_state() (lightning.app.core.LightningApp method) (lightning.app.core.LightningFlow method) setup() (lightning.app.components.serve.python_server.PythonServer method) shm_size (lightning.app.utilities.packaging.cloud_compute.CloudCompute parameter), [1], [2] source (lightning.app.storage.mount.Mount parameter), [1] start() (lightning.app.core.LightningWork method) start_server() (lightning.app.frontend.frontend.Frontend method) (lightning.app.frontend.panel.PanelFrontend method) (lightning.app.frontend.stream_lit.StreamlitFrontend method) (lightning.app.frontend.web.StaticWebFrontend method) start_time (lightning.app.core.flow.LightningFlow.schedule parameter) (lightning.app.core.LightningFlow.schedule parameter) start_with_flow (lightning.app.components.serve.gradio_server.ServeGradio parameter), [1] (lightning.app.components.serve.streamlit.ServeStreamlit parameter), [1] (lightning.app.core.LightningWork parameter), [1] (lightning.app.core.work.LightningWork parameter) state (lightning.app.core.flow.LightningFlow property) (lightning.app.core.LightningApp property) (lightning.app.core.LightningFlow property) (lightning.app.core.LightningWork property) state_dict() (lightning.app.core.flow.LightningFlow method) (lightning.app.core.LightningFlow method) state_vars (lightning.app.core.LightningApp property) state_with_changes (lightning.app.core.LightningApp property) StaticWebFrontend (class in lightning.app.frontend.web) status (lightning.app.core.LightningWork property) statuses (lightning.app.core.LightningWork property) stop() (lightning.app.core.flow.LightningFlow method) (lightning.app.core.LightningFlow method) (lightning.app.core.LightningWork method) stop_server() (lightning.app.frontend.frontend.Frontend method) (lightning.app.frontend.panel.PanelFrontend method) (lightning.app.frontend.stream_lit.StreamlitFrontend method) (lightning.app.frontend.web.StaticWebFrontend method) store_interval (lightning.app.components.database.server.Database parameter), [1] StreamlitFrontend (class in lightning.app.frontend.stream_lit) strict (lightning.app.core.flow.LightningFlow.load_state_dict parameter) (lightning.app.core.LightningFlow.load_state_dict parameter) T terminate() (lightning.app.runners.multiprocess.MultiProcessRuntime method) timeout (lightning.app.storage.drive.Drive.get parameter) timeout_batching (lightning.app.components.serve.auto_scaler.AutoScaler parameter), [1] to_dict() (lightning.app.storage.path.Path method) token (lightning.app.components.database.server.Database.run parameter) TracerPythonScript (class in lightning.app.components.python.tracer) U url (lightning.app.core.LightningWork property) user_key (lightning.app.core.flow.LightningFlow.experimental_iterate parameter) (lightning.app.core.flow.LightningFlow.schedule parameter) (lightning.app.core.LightningFlow.experimental_iterate parameter) (lightning.app.core.LightningFlow.schedule parameter) W with_name() (lightning.app.storage.path.Path method) with_stem() (lightning.app.storage.path.Path method) with_suffix() (lightning.app.storage.path.Path method) work (lightning.app.storage.path.Path._attach_work parameter) work_args (lightning.app.components.multi_node.base.MultiNode parameter), [1] (lightning.app.components.multi_node.fabric.FabricMultiNode parameter), [1] (lightning.app.components.multi_node.pytorch_spawn.PyTorchSpawnMultiNode parameter), [1] (lightning.app.components.multi_node.trainer.LightningTrainerMultiNode parameter), [1] work_cls (lightning.app.components.multi_node.base.MultiNode parameter), [1] (lightning.app.components.multi_node.fabric.FabricMultiNode parameter), [1] (lightning.app.components.multi_node.pytorch_spawn.PyTorchSpawnMultiNode parameter), [1] (lightning.app.components.multi_node.trainer.LightningTrainerMultiNode parameter), [1] work_kwargs (lightning.app.components.multi_node.base.MultiNode parameter), [1] (lightning.app.components.multi_node.fabric.FabricMultiNode parameter), [1] (lightning.app.components.multi_node.pytorch_spawn.PyTorchSpawnMultiNode parameter), [1] (lightning.app.components.multi_node.trainer.LightningTrainerMultiNode parameter), [1] workers (lightning.app.components.serve.serve.ModelInferenceAPI parameter), [1] works (lightning.app.core.LightningApp property) works() (lightning.app.core.flow.LightningFlow method) (lightning.app.core.LightningFlow method)