docstr: Updates the value of a variable.
  This requires having an assign operation for the variable, and a placeholder which will provide the value
  :param assign_op: an assign operation for the variable
  :param value: a value to set the variable to
  :param placeholder: a placeholder to hold the given value for injecting it into the variable
code: def set_variable_value(self, assign_op, value, placeholder=None):
      """
      Updates the value of a variable.
      This requires having an assign operation for the variable, and a placeholder which will provide the value
      :param assign_op: an assign operation for the variable
      :param value: a value to set the variable to
      :param placeholder: a placeholder to hold the given value for injecting it into the variable
      """
      self.sess.run(assign_op, feed_dict={placeholder: value})
  
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 23 for calling the TensorFlowArchitecture obj's underlying member method code with example usage: obj.set_variable_value(assign_op, value, placeholder) without return types