[MPSInductor] torch.complex128 is unsupported on MPS (pytorch#150386)

Same as torch.float64

Pull Request resolved: pytorch#150386
Approved by: https://github.com/dcci
ghstack dependencies: pytorch#150382

Author: malfet

test/inductor/test_mps_basic.py

@@ -162,6 +162,7 @@ def fn(a):
 # Copy tests
 for test_name in [
     "test_min_max_reduction",
+    "test_add_complex4",
     "test_add_const_int",
     "test_add_inplace_permuted",
     "test_addmm",

test/inductor/test_torchinductor.py

@@ -1368,6 +1368,8 @@ def fn(a, b):
             return c + d
 
         for dtype in [torch.complex32, torch.complex64, torch.complex128]:
+            if not self.is_dtype_supported(dtype):
+                continue
             x = torch.tensor(
                 [1 + 1j, -1 + 1j, -2 + 2j, 3 - 3j, 0, 1j, 1, -1],
                 dtype=dtype,

torch/_dynamo/device_interface.py

@@ -376,7 +376,7 @@ def is_bf16_supported(including_emulation: bool = False) -> bool:
     def is_dtype_supported(
         cls, dtype: torch.dtype, including_emulation: bool = False
     ) -> bool:
-        if dtype == torch.float64:
+        if dtype in [torch.float64, torch.complex128]:
             return False
         return dtype != torch.bfloat16 or cls.is_bf16_supported(including_emulation)