original_docstring: Creates any variables needed by this model.
          Variables keep their value across multiple runs
docstring: Creates any variables needed by this model.
  Variables keep their value across multiple runs
docstring_tokens: Creates any variables needed by this model . Variables keep their value across multiple runs
code: def _create_variables(self):
          """Creates any variables needed by this model.
          Variables keep their value across multiple runs"""
          with tf.name_scope("model_inputs"):
              self.input_placeholder = tf.placeholder(tf.float32, shape=(None, self.state_dim), name="state_input")
          return {}
code_tokens: def _create_variables ( self ) : with tf . name_scope ( "model_inputs" ) : self . input_placeholder = tf . placeholder ( tf . float32 , shape = ( None , self . state_dim ) , name = "state_input" ) return { }
short_docstring: Creates any variables needed by this model.
short_docstring_tokens: Creates any variables needed by this model .
comment: """Creates any variables needed by this model.
          Variables keep their value across multiple runs"""