[functorch] glu failing now that test_ops runs again, switch functionalization failures to use expectedfailure

Author: samdow

functorch/test/test_eager_transforms.py

@@ -2828,7 +2828,8 @@ def _check_functionalize_correctness(self, f, inpt):
         self.assertEqual(inpt1, inpt2)
         self.assertEqual(inpt1, inpt3)
 
-    @unittest.skip("RuntimeError: Tensors of type FunctionalTensorWrapper do not have strides")
+    # BUG: RuntimeError: Tensors of type FunctionalTensorWrapper do not have strides
+    @unittest.expectedFailure
     def test_simple_view(self, device):
 
         def f(x: torch.Tensor) -> torch.Tensor:
@@ -2838,7 +2839,8 @@ def f(x: torch.Tensor) -> torch.Tensor:
             return x
         self._check_functionalize_correctness(f, torch.zeros(4, 2, device=device))
 
-    @unittest.skip("RuntimeError: Tensors of type FunctionalTensorWrapper do not have strides")
+    # BUG: RuntimeError: Tensors of type FunctionalTensorWrapper do not have strides
+    @unittest.expectedFailure
     def test_multioutput_view(self, device):
 
         def f(x: torch.Tensor) -> torch.Tensor:
@@ -2849,7 +2851,9 @@ def f(x: torch.Tensor) -> torch.Tensor:
             return x
         self._check_functionalize_correctness(f, torch.zeros(4, 2, device=device))
 
-    @unittest.skip("RuntimeError: Tensors of type FunctionalTensorWrapper do not have strides")
+
+    # BUG: RuntimeError: Tensors of type FunctionalTensorWrapper do not have strides
+    @unittest.expectedFailure
     def test_inplace_view(self, device):
 
         def f(x: torch.Tensor) -> torch.Tensor:
@@ -2875,7 +2879,8 @@ def f(x, y, z) -> torch.Tensor:
         out_actual = functionalize(f)(x, y, z)
         self.assertEqual(out_expected, out_actual)
 
-    @unittest.skip("RuntimeError: Tensors of type FunctionalTensorWrapper do not have strides")
+    # BUG: RuntimeError: Tensors of type FunctionalTensorWrapper do not have strides
+    @unittest.expectedFailure
     def test_multioutput_inplace_slice_view(self, device):
 
         def f(x: torch.Tensor) -> torch.Tensor:

functorch/test/test_ops.py

@@ -872,7 +872,8 @@ def test_vmapjvpall(self, device, dtype, op):
         xfail('nn.functional.binary_cross_entropy_with_logits', ''),
         xfail('linalg.norm', 'subgradients_at_zero'),
         xfail('nn.functional.max_unpool1d', 'grad'),
-        xfail('lu_unpack')
+        xfail('lu_unpack'),
+        xfail('glu'),
     }))
     @toleranceOverride({torch.float32: tol(atol=1e-04, rtol=1e-04)})
     def test_vmapjvpall_has_batch_rule(self, device, dtype, op):