code: def get_initial_state(self, inputs=None, batch_size=None, dtype=None):
      if inputs is not None:
          return tf.zeros_like(inputs)
      return tf.zeros([batch_size, 1], dtype)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents.keras_layers import dynamic_unroll_layer
label_desc: Use image node_id 3 for calling the AddInputAndStateKerasRNNCell obj's underlying member method code with example usage: obj.get_initial_state(inputs, batch_size, dtype) and returns: tf, tf