class_docstr: Uses PyTorch's :func:`~torch.nn.utils.clip_grad_norm_()`
  method to clip gradient.
  
  See:
      :func:`torch.nn.utils.clip_grad_norm_()`
code: def on_backward_end(self, batch_number: int):
      clip_grad_norm_(
          self.parameters, self.max_norm, norm_type=self.norm_type
      )
  
file_path: poutyne/poutyne/framework/callbacks/clip_grad.py
imports: from typing import Iterable, Union
  import torch
  from torch.nn.utils import clip_grad_norm_, clip_grad_value_
  from poutyne.framework.callbacks.callbacks import Callback
label_desc: Use image node_id 2 for calling the ClipNorm obj's underlying member method code with example usage: obj.on_backward_end(batch_number) without return types