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Remove test decorations on MacOS 12 (#148942)

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MacOS 12 may reach EOL, as from https://endoflife.date/macos
Pull Request resolved: https://github.com/pytorch/pytorch/pull/148942
Approved by: https://github.com/malfet
This commit is contained in:
cyy 2025-03-14 17:22:37 +00:00 committed by PyTorch MergeBot
parent f2ea77c099
commit a9aae05a6b
1 changed files with 0 additions and 8 deletions
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8
test/test_mps.py
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@ -4126,8 +4126,6 @@ class TestMPS(TestCaseMPS):
y_cpu = torch.full((2, 2), 247, device='cpu', dtype=torch.uint8) y_cpu = torch.full((2, 2), 247, device='cpu', dtype=torch.uint8)
self.assertEqual(y_mps, y_cpu) self.assertEqual(y_mps, y_cpu)
@unittest.skipIf(MACOS_VERSION < 13.0, "Skipped on macOS 12")
# See https://github.com/pytorch/pytorch/issues/84995
def test_div_bugs(self): def test_div_bugs(self):
for (dtype, mode) in itertools.product(integral_types(), ['trunc', 'floor']): for (dtype, mode) in itertools.product(integral_types(), ['trunc', 'floor']):
if dtype != torch.int64: if dtype != torch.int64:
@ -5130,7 +5128,6 @@ class TestMPS(TestCaseMPS):
self.assertEqual(result_cpu, result_mps.to('cpu')) self.assertEqual(result_cpu, result_mps.to('cpu'))
@unittest.skipIf(MACOS_VERSION < 13.0, "Skipped on macOS 12")
def test_signed_vs_unsigned_comparison(self): def test_signed_vs_unsigned_comparison(self):
cpu_x = torch.tensor((-1, 2, 3), device='cpu', dtype=torch.uint8) cpu_x = torch.tensor((-1, 2, 3), device='cpu', dtype=torch.uint8)
mps_x = torch.tensor((-1, 2, 3), device='mps', dtype=torch.uint8) mps_x = torch.tensor((-1, 2, 3), device='mps', dtype=torch.uint8)
@ -11450,9 +11447,6 @@ class TestAdvancedIndexing(TestCaseMPS):
self.assertEqual(res_cpu, res_mps, str(dtype)) self.assertEqual(res_cpu, res_mps, str(dtype))
for dtype in self.supported_dtypes: for dtype in self.supported_dtypes:
# MPS support binary op with uint8 natively starting from macOS 13.0
if MACOS_VERSION < 13.0 and dtype == torch.uint8:
continue
helper(dtype) helper(dtype)
def test_advanced_indexing_3D_get(self): def test_advanced_indexing_3D_get(self):
@ -11611,7 +11605,6 @@ class TestAdvancedIndexing(TestCaseMPS):
self.assertEqual(v[boolIndices], torch.tensor([True], dtype=torch.bool, device=device)) self.assertEqual(v[boolIndices], torch.tensor([True], dtype=torch.bool, device=device))
self.assertEqual(len(w), 2) self.assertEqual(len(w), 2)
@unittest.skipIf(MACOS_VERSION < 13.0, "Skipped on macOS 12")
def test_bool_indices_accumulate(self, device="mps"): def test_bool_indices_accumulate(self, device="mps"):
mask = torch.zeros(size=(10, ), dtype=torch.uint8, device=device) mask = torch.zeros(size=(10, ), dtype=torch.uint8, device=device)
mask = mask > 0 mask = mask > 0
@ -11829,7 +11822,6 @@ class TestAdvancedIndexing(TestCaseMPS):
self.assertEqual(res.shape, src.shape) self.assertEqual(res.shape, src.shape)
[helper(device="mps", dtype=dtype) for dtype in [torch.float, torch.int32]] [helper(device="mps", dtype=dtype) for dtype in [torch.float, torch.int32]]
@unittest.skipIf(MACOS_VERSION < 13.0, "Skipped on macOS 12")
def test_index_src_datatype(self): def test_index_src_datatype(self):
def helper(device, dtype): def helper(device, dtype):
orig_dtype = dtype orig_dtype = dtype