code: def __init__(self, keep_bias: bool = False) -> None:
      super().__init__()
  
      self.keep_bias = keep_bias
      self.layer_names = []
      self.number_layers = 0
  
      self.tracker = None
  
imports: from typing import Dict, Iterable, List, Tuple
  import numpy
  import torch
  from poutyne.framework.callbacks.callbacks import Callback
label_desc: Use image node_id 1 to create a new GradientTracker object from inherited base classes: Callback with example: obj = GradientTracker(keep_bias)