Skip test_nvfuser_extremal_values for native_batch_norm (pytorch#86897)

New tests were introduced with pytorch@68a6113.
This PR explicitly skips the problematic tests.
Fixes pytorch#86176
Fixes pytorch#86177
Fixes pytorch#86178
Fixes pytorch#86179
Pull Request resolved: pytorch#86897
Approved by: https://github.com/soulitzer

torch/testing/_internal/common_methods_invocations.py

@@ -10383,6 +10383,9 @@ def reference_flatten(input, start_dim=0, end_dim=-1):
                DecorateInfo(unittest.skip("Skipped!"), 'TestFakeTensor', 'test_fake'),
                DecorateInfo(toleranceOverride({torch.float32: tol(atol=5e-5, rtol=5e-5)}),
                             "TestCompositeCompliance", "test_forward_ad"),
+               # Extremal value issue on aten::native_batch_norm, which returns 'nan' for mean on 'inf' inputs
+               # possibly because of the welford implementation.
+               DecorateInfo(unittest.skip("Skipped!"), 'TestCudaFuserOpInfo', 'test_nvfuser_extremal_values'),
            )
            ),
     OpInfo('nn.functional.cosine_similarity',