docstr: Return list of working gradient slices in the group
  
  Args:
      group_id (int): The index of a parameter group
  
  Returns:
      List: the list working gradient slices in the group
docstr_tok: ["Return","list","of","working","gradient","slices","in","the","group","Args",":","group_id","(","int",")",":","The","index","of","a","parameter","group","Returns",":","List",":","the","list","working","gradient","slices","in","the","group"]
code: def get_working_grads_by_group_id(self, group_id: int) -> List:
      """Return list of working gradient slices in the group
  
      Args:
          group_id (int): The index of a parameter group
  
      Returns:
          List: the list working gradient slices in the group
      """
  
      grad_list = []
      for param_grads in self._grads_of_params[group_id].values():
          grad_list.append(param_grads[self._working_index])
  
      return grad_list
  
file_path: ColossalAI/colossalai/zero/low_level/bookkeeping/gradient_store.py
imports: from typing import List
  from torch import Tensor
  from .base_store import BaseStore
label_desc: Use image node_id 5 for calling the GradientStore obj's underlying member method code with example usage: obj.get_working_grads_by_group_id(group_id) and returns: grad_list