class_docstr: Clip norm of gradients
class_docstr_tok: ["Clip","norm","of","gradients"]
code: def __init__(self, max_norm: float = 1.0, norm_type: float = 2.0):
      store_attr()
  
imports: from __future__ import annotations
  from ..basics import *
  from .progress import *
  from .fp16 import *
label_desc: Use image node_id 1 to create a new GradientClip object from inherited base classes: Callback with example: obj = GradientClip(max_norm, norm_type)