code: def _update_layers_to_track(
      self, layer_name: str, layer_params: torch.nn.parameter.Parameter
  ):
      if self._keep_layer(layer_params, layer_name):
          self.layer_names.append(layer_name)
  
      self.number_layers = len(self.layer_names)
  
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 6 for calling the GradientTracker obj's underlying member method code with example usage: obj._update_layers_to_track(layer_name, layer_params) without return types