docstr: Return the padding size of the parameter
  
  Args:
      param (Tensor): The parameter
  
  Returns:
      int: the padding size of the parameter
docstr_tok: ["Return","the","padding","size","of","the","parameter","Args",":","param","(","Tensor",")",":","The","parameter","Returns",":","int",":","the","padding","size","of","the","parameter"]
code: def get_param_padding_size(self, param: Tensor) -> int:
      """Return the padding size of the parameter
  
      Args:
          param (Tensor): The parameter
  
      Returns:
          int: the padding size of the parameter
      """
  
      return self._padding_map[id(param)]
  
file_path: ColossalAI/colossalai/zero/low_level/bookkeeping/parameter_store.py
imports: from torch import Tensor
  from torch.distributed import ProcessGroup
  from .base_store import BaseStore
label_desc: Use image node_id 3 for calling the ParameterStore obj's underlying member method code with example usage: obj.get_param_padding_size(param) and returns: self