[Code Clean] Remove deadcodes about Python3.9 [7/N] (#163646)

As the title stated.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/163646
Approved by: https://github.com/jansel
ghstack dependencies: #163626, #163627, #163629, #163643, #163644, #163645

test/jit/test_hash.py

@@ -73,10 +73,6 @@ class TestHash(JitTestCase):
         self.checkScript(fn, (1.2345, float("inf")))
         self.checkScript(fn, (float("inf"), float("inf")))
         self.checkScript(fn, (1.2345, float("nan")))
-        if sys.version_info < (3, 10):
-            # Hash of two nans are not guaranteed to be equal. From https://docs.python.org/3/whatsnew/3.10.html :
-            # Hashes of NaN values of both float type and decimal.Decimal type now depend on object identity.
-            self.checkScript(fn, (float("nan"), float("nan")))
         self.checkScript(fn, (float("nan"), float("inf")))
 
     def test_hash_int(self):

test/jit/test_union_pep604.py

@@ -20,7 +20,6 @@ from torch.testing._internal.common_utils import raise_on_run_directly
 from torch.testing._internal.jit_utils import JitTestCase, make_global
 
 
-@unittest.skipIf(sys.version_info < (3, 10), "Requires Python 3.10")
 class TestUnion(JitTestCase):
     """
     This class tests the functionality of `Union`.

torch/_dynamo/bytecode_transformation.py

@@ -529,7 +529,7 @@ def create_print_value(value: Any) -> list[Instruction]:
     ]
 
 
-def linetable_310_writer(
+def linetable_writer(
     first_lineno: int,
 ) -> tuple[list[int], Callable[[int, int], None], Callable[[int], None]]:
     """
@@ -759,7 +759,7 @@ def assemble(instructions: list[Instruction], firstlineno: int) -> tuple[bytes,
             for _ in range(instruction_size(inst) // 2 - 1):
                 code.extend((0, 0))
     else:
-        lnotab, update_lineno, end = linetable_310_writer(firstlineno)
+        lnotab, update_lineno, end = linetable_writer(firstlineno)
 
         for inst in instructions:
             if inst.starts_line is not None:
@@ -871,7 +871,6 @@ def devirtualize_jumps(instructions: list[Instruction]) -> None:
                 inst.arg = abs(
                     int(target.offset - inst.offset - instruction_size(inst))
                 )
-                # see bytecode size comment in the absolute jump case above
                 inst.arg //= 2
             inst.argval = target.offset
             inst.argrepr = f"to {target.offset}"

torch/_jit_internal.py

@@ -52,8 +52,7 @@ from torch.futures import Future
 _P = ParamSpec("_P")
 _R = TypeVar("_R")
 
-BuiltinUnionType: Union[type, tuple[type, ...]]
-BuiltinUnionType = types.UnionType
+BuiltinUnionType: Union[type, tuple[type, ...]] = types.UnionType
 
 LockType: type
 try:
@@ -1248,8 +1247,7 @@ def _get_named_tuple_properties(
         ]
     else:
         defaults = []
-    # In 3.10 recommended way to get annotations is to call `inspect.get_annotations` function
-    # Also, annotations from base class are not inherited so they need to be queried explicitly
+
     obj_annotations = inspect.get_annotations(obj)
     if len(obj_annotations) == 0 and hasattr(obj, "__base__"):
         obj_annotations = inspect.get_annotations(obj.__base__)