code: def __init__(self, time_step_spec, net):
      super(MyPolicy, self).__init__(
          time_step_spec, action_spec=tf.TensorSpec((None,), tf.float32)
      )
      self._net = net
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from absl import flags
  import tensorflow.compat.v2
  from tf_agents.keras_layers import inner_reshape
  from tf_agents.networks import nest_map
  from tf_agents.networks import sequential
  from tf_agents.policies import policy_saver
  from tf_agents.policies import tf_policy
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import policy_step
  from tf_agents.trajectories import time_step
  from tf_agents.utils import common
  from tf_agents.utils import nest_utils
  from tf_agents.utils import test_utils
label_desc: Use image node_id 1 to create a new MyPolicy object from inherited base classes: tf_policy with example: obj = MyPolicy(time_step_spec, net)