150442111a9db973dcce7d20fb0cf386cebf60b0,tf_agents/agents/ddpg/actor_network.py,ActorNetwork,call,#ActorNetwork#Any#Any#Any#,107

Before Change

    output_actions = tf.nest.pack_sequence_as(self._output_tensor_spec,
                                              [actions])

    return output_actions, network_state

After Change

    self._output_tensor_spec = output_tensor_spec

  def call(self, observations, step_type=(), network_state=(), training=False):
    del step_type  // unused.
    observations = tf.nest.flatten(observations)
    output = tf.cast(observations[0], tf.float32)
    for layer in self._mlp_layers:
      output = layer(output, training=training)

Instances