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Unskip test_cuda_repro
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test/inductor/test_cuda_repro.py

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@@ -314,7 +314,6 @@ def foo(x):
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out_ref.add_(2)
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# self.assertEqual(out_ref, out)
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@skipIfRocmArch(NAVI_ARCH)
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def test_accuracy_issue1(self):
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class Repro(torch.nn.Module):
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def __init__(self):
@@ -351,7 +350,6 @@ def forward(self, start_positions: torch.Tensor, x: torch.Tensor):
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assert same_two_models(mod, opt_mod, args), "Dynamo failed"
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@config.patch(allow_buffer_reuse=False)
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@skipIfRocmArch(NAVI_ARCH)
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def test_issue103461(self):
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def forward(add_1):
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var_mean = torch.ops.aten.var_mean.correction(
@@ -835,7 +833,6 @@ def forward(self, x):
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res2 = jit_func(x)
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self.assertEqual(res1, res2)
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@skipIfRocmArch(NAVI_ARCH)
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def test_issue103481(self):
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def fn(x, y):
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# NOTE: 6 dimensions is important! does not fail for 5 dimensions

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