docstr: Return the dictionary of gradients slices, of which the keys are ranks
  
  Returns:
      Dict: The dictionary of gradients slices
docstr_tok: ["Return","the","dictionary","of","gradients","slices",",","of","which","the","keys","are","ranks","Returns",":","Dict",":","The","dictionary","of","gradients","slices"]
code: def get_grad(self) -> Dict:
      """Return the dictionary of gradients slices, of which the keys are ranks
  
      Returns:
          Dict: The dictionary of gradients slices
      """
  
      return self._grad_in_bucket
  
file_path: ColossalAI/colossalai/zero/low_level/bookkeeping/bucket_store.py
imports: from typing import Dict
  import torch
  from torch import Tensor
  from torch._utils import _flatten_dense_tensors
  from torch.distributed import ProcessGroup
  from .base_store import BaseStore
label_desc: Use image node_id 6 for calling the BucketStore obj's underlying member method code with example usage: obj.get_grad() and returns: self