docstr: Reset the gradients accumulation placeholder
code: def reset_accumulated_gradients(self):
      """
      Reset the gradients accumulation placeholder
      """
      if self.accumulated_gradients is None:
          self.accumulated_gradients = self.sess.run(self.weights)
  
      for ix, grad in enumerate(self.accumulated_gradients):
          self.accumulated_gradients[ix] = grad * 0
  
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 10 for calling the TensorFlowArchitecture obj's underlying member method code with example usage: obj.reset_accumulated_gradients() without return types