Migrate from Tuple -> tuple in benchmarks (#144259)

Summary:
X-link: pytorch/pytorch#144259
Approved by: https://github.com/yanboliang

Reviewed By: clee2000

Differential Revision: D67905636

Pulled By: bobrenjc93

fbshipit-source-id: adaec218cc88d0a5d63f0d41058076a3ea33c64b

userbenchmark/dynamo/dynamobench/common.py

@@ -32,7 +32,6 @@
     NamedTuple,
     Optional,
     Sequence,
-    Tuple,
     Type,
     TYPE_CHECKING,
 )
@@ -746,7 +745,7 @@ def timed(
     return (time_total, result) if return_result else time_total
 
 
-def _normalize_bench_inputs(example_inputs) -> Tuple[Tuple[Any], Mapping[str, Any]]:
+def _normalize_bench_inputs(example_inputs) -> tuple[tuple[Any], Mapping[str, Any]]:
     # NOTE(bowbao): For huggingface benchmark, example_inputs are formatted as dictionary,
     # and consumed like `model(**example_inputs)`.
     # For other benchmarks, example_inputs are formatted as tuple and consumed