[mps] Massage test_full_truncation to work only on the supported dtyp…

…es. (pytorch#144877)

Converted a first one to make sure the pattern was the one we wanted -- if we're OK with this, I'll probably adjust all the other failing ones in a batch or two. Let me know.

Pull Request resolved: pytorch#144877
Approved by: https://github.com/jansel, https://github.com/malfet

test/inductor/test_mps_basic.py

@@ -49,6 +49,7 @@ class MPSBasicTests(TestCase):
     test_cat_empty = CommonTemplate.test_cat_empty
     test_cat_unbacked_empty_1d = CommonTemplate.test_cat_unbacked_empty_1d
     test_floordiv = CommonTemplate.test_floordiv
+    test_full_truncation = CommonTemplate.test_full_truncation
     test_fmod = CommonTemplate.test_fmod
     test_fmod_zero_dim = CommonTemplate.test_fmod_zero_dim
     test_index_dynamic_shapes = CommonTemplate.test_index_dynamic_shapes

test/inductor/test_torchinductor.py

@@ -6554,8 +6554,11 @@ def test_full_truncation(self):
         def fn(a):
             return a + torch.full_like(a, 7.777)
 
+        device_interface = get_interface_for_device(self.device)
         for dtype in all_types():
-            self.common(fn, (make_tensor(8, dtype=dtype, device=self.device),))
+            ctx = contextlib.nullcontext() if device_interface.is_dtype_supported(dtype) else self.assertRaises(TypeError)
+            with ctx:
+                self.common(fn, (make_tensor(8, dtype=dtype, device=self.device),), check_lowp=False)
 
     def test_full_boolean(self):
         def fn(n):