docstr: :return: a list of tensors containing the network weights for each layer
code: def get_weights(self):
      """
      :return: a list of tensors containing the network weights for each layer
      """
      return self.weights
  
imports: import os
  import time
  from typing import Any, List, Tuple, Dict
  import numpy
  import tensorflow
  from rl_coach.architectures.architecture import Architecture
  from rl_coach.architectures.tensorflow_components.savers import GlobalVariableSaver
  from rl_coach.base_parameters import AgentParameters, DistributedTaskParameters
  from rl_coach.core_types import GradientClippingMethod
  from rl_coach.saver import SaverCollection
  from rl_coach.spaces import SpacesDefinition
  from rl_coach.utils import force_list, squeeze_list, start_shell_command_and_wait
label_desc: Use image node_id 20 for calling the TensorFlowArchitecture obj's underlying member method code with example usage: obj.get_weights() and returns: self