docstr: Tests activation for the Q layer.
docstr_tok: ["Tests","activation","for","the","Q","layer","."]
code: def testQLayerActivation(self):
      """Tests activation for the Q layer."""
      num_state_dims = 5
      network = q_network.QNetwork(
          input_tensor_spec=tensor_spec.TensorSpec(
              [num_state_dims], tf.float32
          ),
          action_spec=tensor_spec.BoundedTensorSpec(
              [1], tf.int32, 0, 1
          ),
          q_layer_activation_fn=tf.keras.activations.softplus,
      )
      q_logits, _ = network(tf.ones((3, num_state_dims)))
      self.evaluate(tf.compat.v1.global_variables_initializer())
      self.evaluate(tf.compat.v1.initializers.tables_initializer())
      self.assertAllEqual(q_logits.shape.as_list(), [3, 2])
      self.assertAllGreater(q_logits, 0.0)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import gin
  import tensorflow
  from tf_agents.networks import q_network
  from tf_agents.specs import tensor_spec
label_desc: Use image node_id 13 for calling the SingleObservationSingleActionTest obj's underlying member method code with example usage: obj.testQLayerActivation() without return types