code: def _get_fit_loop_initial_state_1_6_0() -> Dict:
      return {
          "epoch_loop.batch_loop.manual_loop.optim_step_progress": {
              "current": {"completed": 0, "ready": 0},
              "total": {"completed": 0, "ready": 0},
          },
          "epoch_loop.batch_loop.manual_loop.state_dict": {},
          "epoch_loop.batch_loop.optimizer_loop.optim_progress": {
              "optimizer": {
                  "step": {
                      "current": {"completed": 0, "ready": 0},
                      "total": {"completed": 0, "ready": 0},
                  },
                  "zero_grad": {
                      "current": {
                          "completed": 0,
                          "ready": 0,
                          "started": 0,
                      },
                      "total": {
                          "completed": 0,
                          "ready": 0,
                          "started": 0,
                      },
                  },
              },
              "optimizer_position": 0,
          },
          "epoch_loop.batch_loop.optimizer_loop.state_dict": {},
          "epoch_loop.batch_loop.state_dict": {},
          "epoch_loop.batch_progress": {
              "current": {
                  "completed": 0,
                  "processed": 0,
                  "ready": 0,
                  "started": 0,
              },
              "is_last_batch": False,
              "total": {
                  "completed": 0,
                  "processed": 0,
                  "ready": 0,
                  "started": 0,
              },
          },
          "epoch_loop.scheduler_progress": {
              "current": {"completed": 0, "ready": 0},
              "total": {"completed": 0, "ready": 0},
          },
          "epoch_loop.state_dict": {"_batches_that_stepped": 0},
          "epoch_loop.val_loop.dataloader_progress": {
              "current": {"completed": 0, "ready": 0},
              "total": {"completed": 0, "ready": 0},
          },
          "epoch_loop.val_loop.epoch_loop.batch_progress": {
              "current": {
                  "completed": 0,
                  "processed": 0,
                  "ready": 0,
                  "started": 0,
              },
              "is_last_batch": False,
              "total": {
                  "completed": 0,
                  "processed": 0,
                  "ready": 0,
                  "started": 0,
              },
          },
          "epoch_loop.val_loop.epoch_loop.state_dict": {},
          "epoch_loop.val_loop.state_dict": {},
          "epoch_progress": {
              "current": {
                  "completed": 0,
                  "processed": 0,
                  "ready": 0,
                  "started": 0,
              },
              "total": {
                  "completed": 0,
                  "processed": 0,
                  "ready": 0,
                  "started": 0,
              },
          },
          "state_dict": {},
      }
  
file_path: pytorch-lightning/src/lightning/pytorch/utilities/migration/migration.py
imports: import re
  from typing import Any, Callable, Dict, List
  from lightning.fabric.utilities.warnings import PossibleUserWarning
  from lightning.pytorch.callbacks.early_stopping import EarlyStopping
  from lightning.pytorch.callbacks.model_checkpoint import ModelCheckpoint
  from lightning.pytorch.utilities.rank_zero import rank_zero_warn
label_desc: Use image node_id 6 for calling a global function with example usage: _get_fit_loop_initial_state_1_6_0() and returns: dict