[RLlib] Rename rllib.utils.types into typing to match built-in python module's name. (#10114)

rllib/execution/replay_buffer.py

@@ -13,7 +13,7 @@ from ray.rllib.utils.annotations import DeveloperAPI
 from ray.util.iter import ParallelIteratorWorker
 from ray.rllib.utils.timer import TimerStat
 from ray.rllib.utils.window_stat import WindowStat
-from ray.rllib.utils.types import SampleBatchType
+from ray.rllib.utils.typing import SampleBatchType
 
 # Constant that represents all policies in lockstep replay mode.
 _ALL_POLICIES = "__all__"

rllib/execution/replay_ops.py

@@ -6,7 +6,7 @@ from ray.util.iter_metrics import SharedMetrics
 from ray.rllib.execution.replay_buffer import LocalReplayBuffer
 from ray.rllib.execution.common import \
     STEPS_SAMPLED_COUNTER, _get_shared_metrics
-from ray.rllib.utils.types import SampleBatchType
+from ray.rllib.utils.typing import SampleBatchType
 
 
 class StoreToReplayBuffer:

rllib/execution/rollout_ops.py

@@ -13,7 +13,7 @@ from ray.rllib.execution.common import STEPS_SAMPLED_COUNTER, LEARNER_INFO, \
 from ray.rllib.policy.sample_batch import SampleBatch, DEFAULT_POLICY_ID, \
     MultiAgentBatch
 from ray.rllib.utils.sgd import standardized
-from ray.rllib.utils.types import PolicyID, SampleBatchType, ModelGradients
+from ray.rllib.utils.typing import PolicyID, SampleBatchType, ModelGradients
 
 logger = logging.getLogger(__name__)
 

rllib/execution/train_ops.py

@@ -18,7 +18,7 @@ from ray.rllib.policy.sample_batch import SampleBatch, DEFAULT_POLICY_ID, \
     MultiAgentBatch
 from ray.rllib.utils.framework import try_import_tf
 from ray.rllib.utils.sgd import do_minibatch_sgd, averaged
-from ray.rllib.utils.types import PolicyID, SampleBatchType
+from ray.rllib.utils.typing import PolicyID, SampleBatchType
 
 tf1, tf, tfv = try_import_tf()
 

rllib/execution/tree_agg.py

@@ -10,7 +10,7 @@ from ray.rllib.execution.rollout_ops import ParallelRollouts, ConcatBatches
 from ray.rllib.utils.actors import create_colocated
 from ray.util.iter import ParallelIterator, ParallelIteratorWorker, \
     from_actors
-from ray.rllib.utils.types import SampleBatchType
+from ray.rllib.utils.typing import SampleBatchType
 
 logger = logging.getLogger(__name__)