Fix test_parse_resnet18 test for train=True, dtype=float32, executor=nvfuser

Nobody has claimed this yet.

With #2494, this case for this test in test_update_aliases.py is skipped. However, the test consistently fails for this case with an AssertionError
```
E AssertionError: Tensor-likes are not close!
E
E Mismatched elements: 9402 / 9408 (99.9%)
E Greatest absolute difference: 0.09202009439468384 at index (4, 1, 5, 0) (up to 1e-05 allowed)
E Greatest relative difference: 10.512157440185547 at index (39, 1, 3, 0) (up to 1.3e-06 allowed)
E
E The failure occurred for item [0]
```
I verified that this test case in test_inplace_functionalization.py similarly fails in commit 19e6fa4 (with the modification to not skip float32) suggesting the issue is common to both the aliasing and functionalization approaches to in-place support.

cc @borda

Start with the train=True, dtype=float32, executor=nvfuser case in test_update_aliases.py and reproduce the AssertionError. Compare it with the corresponding case in test_inplace_functionalization.py at commit 19e6fa4, considering the skip introduced by #2494. Done means both in-place support tests pass for this configuration without skipping float32.

Written by the indexing model from the issue text.