Back out "tolist() support for FunctionalTensor"

Summary:
Original commit changeset: a226bef5de4c

Original Phabricator Diff: D53731064

bypass-github-export-checks

(Note: this ignores all push blocking failures!)

Reviewed By: atalman

Differential Revision: D54189311

fbshipit-source-id: 0475b621422a1620f606ef7e01be9bd12e499afb

torchrec/distributed/tests/test_pt2.py

@@ -240,18 +240,3 @@ def test_maybe_compute_kjt_to_jt_dict(self) -> None:
             # TODO: turn on AOT Inductor test once the support is ready
             test_aot_inductor=False,
         )
-
-    def test_tensor_tolist(self) -> None:
-        class M(torch.nn.Module):
-            def forward(self, kjt: KeyedJaggedTensor):
-                return kjt.values().tolist()
-
-        kjt: KeyedJaggedTensor = make_kjt([2, 3, 4, 5, 6], [1, 2, 1, 1])
-        self._test_kjt_input_module(
-            M(),
-            kjt.keys(),
-            (kjt._values, kjt._lengths),
-            test_dynamo=False,
-            test_aot_inductor=False,
-            test_pt2_ir_export=True,
-        )