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[BE][Ez]: Unskip conv1d MPS test (#154795)

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Fixes issue I noticed where conv1d test is skipped for complex types unconditionally
Pull Request resolved: https://github.com/pytorch/pytorch/pull/154795
Approved by: https://github.com/jansel
This commit is contained in:
Aaron Gokaslan 2025-05-31 23:01:16 +00:00 committed by PyTorch MergeBot
parent b85c460749
commit dbad6d71c7
1 changed files with 3 additions and 1 deletions
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4
test/nn/test_convolution.py
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@ -1797,7 +1797,9 @@ class TestConvolutionNNDeviceType(NNTestCase):
self.assertEqual(expect, actual) self.assertEqual(expect, actual)
@dtypes(torch.float, torch.cfloat) @dtypes(torch.float, torch.cfloat)
@dtypesIfMPS(torch.float) @dtypesIfMPS(
*([torch.float] if MACOS_VERSION < 14.0 else [torch.float, torch.cfloat])
) # Complex not supported on MacOS13
def test_conv1d_same_padding_backward(self, device, dtype): def test_conv1d_same_padding_backward(self, device, dtype):
# Test F.conv1d gradients work with padding='same' # Test F.conv1d gradients work with padding='same'
x = torch.rand(1, 1, 12, dtype=dtype, device=device, requires_grad=True) x = torch.rand(1, 1, 12, dtype=dtype, device=device, requires_grad=True)