Revert "[dynamo][itertools] support itertools.tee (#133771)"

This reverts commit 1dbd3476de.

Reverted https://github.com/pytorch/pytorch/pull/133771 on behalf of https://github.com/ZainRizvi due to Sorry, have to revert this in order to be able to revert https://github.com/pytorch/pytorch/pull/133769 ([comment](https://github.com/pytorch/pytorch/pull/133771#issuecomment-2316611158))

test/dynamo/test_misc.py

@@ -10061,22 +10061,6 @@ def ___make_guard_fn():
         self.assertEqual(eager, compiled)
         self.assertEqual(len(counters["graph_break"]), 0)
 
-    def test_itertools_tee(self):
-        counters.clear()
-
-        def fn(l):
-            a, b = itertools.tee(l)
-            return list(a), list(b)
-
-        l = [1, 2, 2, 3, 4, 4, 4, 1, 2]
-        eager = fn(l)
-
-        compiled_fn = torch._dynamo.optimize(backend="eager", nopython=True)(fn)
-        compiled = compiled_fn(l)
-
-        self.assertEqual(eager, compiled)
-        self.assertEqual(len(counters["graph_break"]), 0)
-
     def test_list_iterator_contains(self):
         def fn(x):
             it = iter(["my_weight", "not_my_weight"])

torch/_dynamo/polyfills/itertools.py

@@ -1,34 +0,0 @@
-"""
-Python polyfills for itertools
-"""
-
-import itertools
-from typing import Iterable, Iterator, Tuple, TypeVar
-
-from ..decorators import substitute_in_graph
-
-
-__all__ = ["tee"]
-
-
-_T = TypeVar("_T")
-
-
-# Reference: https://docs.python.org/3/library/itertools.html#itertools.tee
-@substitute_in_graph(itertools.tee)
-def tee(iterable: Iterable[_T], n: int = 2, /) -> Tuple[Iterator[_T], ...]:
-    iterator = iter(iterable)
-    shared_link = [None, None]
-
-    def _tee(link) -> Iterator[_T]:  # type: ignore[no-untyped-def]
-        try:
-            while True:
-                if link[1] is None:
-                    link[0] = next(iterator)
-                    link[1] = [None, None]
-                value, link = link
-                yield value
-        except StopIteration:
-            return
-
-    return tuple(_tee(shared_link) for _ in range(n))

torch/_dynamo/polyfills/loader.py

@@ -11,10 +11,7 @@ if TYPE_CHECKING:
     from types import ModuleType
 
 
-POLYFILLED_MODULE_NAMES: Tuple[str, ...] = (
-    "builtins",
-    "itertools",
-)
+POLYFILLED_MODULE_NAMES: Tuple[str, ...] = ("builtins",)
 POLYFILLED_MODULES: Tuple["ModuleType", ...] = tuple(
     importlib.import_module(f".{submodule}", package=polyfills.__name__)
     for submodule in POLYFILLED_MODULE_NAMES