[arm][ez] Add xfail for norm tests (#10078)

Summary:
## Context

#9938 made it so that
`linalg_vector_norm` is now decomposed when exporting to Edge. However,
this broke some tests in the arm delegate because export passes cannot
handle the decomposed operator sequence. To account for this, add
`xfail` for the failing tests since `linalg_vector_norm` is not
supported in TOSA yet.


## Changes

Add `xfail` for `norm` tests in `test_torch_functions.py`

Test Plan:
## Test Plan

Check CI that failing test is recovered.

Co-authored-by: Sicheng Stephen Jia <[email protected]>

Author: pytorchbot

backends/arm/test/models/test_torch_functions.py

@@ -101,6 +101,7 @@ def forward(self, *args):
         "Requires dynamic output shape.",
         "topk": "NotImplementedError: No registered serialization name for <class 'torch.return_types.topk'> found",
         "sort": "NotImplementedError: No registered serialization name for <class 'torch.return_types.sort'> found",
+        "norm": "An error occurred when running the 'KeepDimsFalseToSqueezePass' pass after the following passes:",
     },
 )
 def test_torch_fns_MI(test_data):
@@ -128,6 +129,8 @@ def test_torch_fns_MI(test_data):
         "Requires dynamic output shape.",
         "topk": "NotImplementedError: No registered serialization name for <class 'torch.return_types.topk'> found",
         "sort": "NotImplementedError: No registered serialization name for <class 'torch.return_types.sort'> found",
+        "t": "MLETORCH-855: Issue with Quantization folding.",
+        "norm": "An error occurred when running the 'KeepDimsFalseToSqueezePass' pass after the following passes:",
     },
 )
 def test_torch_fns_BI(test_data):