code: def rankstr():
      return f"rank_{distributed.get_global_rank()}"
  
imports: import os
  from typing import Any
  import torch
  import dinov2.distributed
  from functools import partial
  from fvcore.common.checkpoint import Checkpointer
  from torch.distributed.fsdp import FullyShardedDataParallel
  from torch.distributed.fsdp import ShardingStrategy
  from torch.distributed.fsdp import MixedPrecision
  from torch.distributed.fsdp import StateDictType
  from torch.distributed.fsdp.sharded_grad_scaler import ShardedGradScaler
  from torch.distributed.fsdp.wrap import ModuleWrapPolicy
  from torch.distributed.fsdp._runtime_utils import _reshard
label_desc: Use image node_id 7 for calling a global function with example usage: rankstr() and returns: str, distributed