code: def zerolike_params_dict(model: Module) -> Dict[str, "ParamData"]:
      """
      Create a list of (name, parameter), where parameter is initalized to zero.
      The list has as many parameters as model, with the same size.
  
      :param model: a pytorch model
      """
  
      return dict(
          [
              (k, ParamData(k, p.shape, device=p.device))
              for k, p in model.named_parameters()
          ]
      )
  
imports: from collections import defaultdict
  from typing import Callable, Dict, List, NamedTuple, Optional, Tuple, Union
  import torch
  from torch import Tensor
  from torch.nn import Linear, Module
  from torch.utils.data import DataLoader, Dataset
  from avalanche.benchmarks import OnlineCLExperience
  from avalanche.models.batch_renorm import BatchRenorm2D
label_desc: Use image node_id 5 for calling a global function with example usage: zerolike_params_dict(model) and returns: dict