class_docstr: Simple QFunction for testing.
  
  Args:
      env_spec (garage.envs.env_spec.EnvSpec): Environment specification.
      name (str): Name of the q-function, also serves as the variable scope.
code: def __init__(self, env_spec, name="SimpleQFunction"):
      self.obs_dim = (env_spec.observation_space.flat_dim,)
      action_dim = env_spec.observation_space.flat_dim
      super().__init__(output_dim=action_dim, name=name)
  
      self._q_val = None
  
      self._initialize()
  
file_path: garage/tests/fixtures/q_functions/simple_q_function.py
imports: import tensorflow
  from tests.fixtures.models import SimpleMLPModel
label_desc: Use image node_id 1 to create a new SimpleQFunction object from inherited base classes: SimpleMLPModel with example: obj = SimpleQFunction(env_spec, name)