Clarify types.

flybody/agents/utils_tf.py

@@ -1,5 +1,7 @@
 """Utilities for tensorflow networks and nested data structures."""
 
+import numpy as np
+from acme import types
 from acme.tf import utils as tf2_utils
 
 
@@ -17,7 +19,9 @@ def __init__(self, policy, sample=False):
         self._policy = policy
         self._sample = sample
 
-    def __call__(self, observation):
+    def __call__(self, observation: types.NestedArray) -> np.ndarray:
+        # Add a dummy batch dimension and as a side effect convert numpy to TF,
+        # batched_observation: types.NestedTensor.
         batched_observation = tf2_utils.add_batch_dim(observation)
         distribution = self._policy(batched_observation)
         if self._sample: