Add type error suppressions for upcoming upgrade

Differential Revision: D65342765

fbshipit-source-id: 585996571a368ef0aaed2fcbfa940a038647443f

pearl/utils/functional_utils/learning/critic_utils.py

@@ -74,6 +74,7 @@ class `TwinCritic` will be instantiated with the specified `network_type`. Note
 
         # cast network_type to get around static Pyre type checking; the runtime check with
         # `issubclass` ensures the network type is a sublcass of QValueNetwork
+        # pyre-fixme[22]: The cast is redundant.
         network_type = cast(Type[QValueNetwork], network_type)
 
         return TwinCritic(

pearl/utils/instantiations/spaces/box.py

@@ -49,7 +49,11 @@ def __init__(
             seed: Random seed used to initialize the random number generator of the
                 underlying Gymnasium `Box` space.
         """
+        # pyre-fixme[9]: low has type `Union[float, Tensor]`; used as `ndarray[Any,
+        #  Any]`.
         low = low.numpy(force=True) if isinstance(low, Tensor) else np.array([low])
+        # pyre-fixme[9]: high has type `Union[float, Tensor]`; used as `ndarray[Any,
+        #  Any]`.
         high = high.numpy(force=True) if isinstance(high, Tensor) else np.array([high])
         self._gym_space = Box(low=low, high=high, seed=seed)
 

pearl/utils/instantiations/spaces/box_action.py

@@ -53,11 +53,15 @@ def __init__(
             seed: Random seed used to initialize the random number generator of the
                 underlying Gymnasium `Box` space.
         """
+        # pyre-fixme[9]: low has type `Union[float, Tensor]`; used as `ndarray[Any,
+        #  Any]`.
         low = (
             reshape_to_1d_tensor(low).numpy(force=True)
             if isinstance(low, Tensor)
             else np.array([low])
         )
+        # pyre-fixme[9]: high has type `Union[float, Tensor]`; used as `ndarray[Any,
+        #  Any]`.
         high = (
             reshape_to_1d_tensor(high).numpy(force=True)
             if isinstance(high, Tensor)