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Fix lint in test_tensorexpr_pybind (#57869)
Summary: Fixes #{issue number} Pull Request resolved: https://github.com/pytorch/pytorch/pull/57869 Pulled By: driazati Reviewed By: gmagogsfm Differential Revision: D28303542 fbshipit-source-id: a4c77c1e7ee92c39fd1c7d88422728e2f1c31680
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@ -255,7 +255,7 @@ graph(%a.1 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu)):
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@unittest.skipIf(not LLVM_ENABLED, "LLVM backend not enabled")
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def test_kernel_with_permute(self):
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def f(a):
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return a.permute([2,1,0])
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return a.permute([2, 1, 0])
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device, size = 'cpu', (3, 4, 5)
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x = torch.rand(size, device=device)
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@ -281,10 +281,10 @@ graph(%a.1 : Float(3, 4, 5, strides=[20, 5, 1], requires_grad=0, device=cpu)):
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@unittest.skipIf(not LLVM_ENABLED, "LLVM backend not enabled")
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def test_kernel_with_expand(self):
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def f(a):
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return a.expand((2,3,4))
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return a.expand((2, 3, 4))
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device = 'cpu'
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x = torch.rand((1,3,1), device=device)
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x = torch.rand((1, 3, 1), device=device)
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graph_str = """
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graph(%a : Float(1, 3, 1, strides=[3, 1, 1], requires_grad=0, device=cpu)):
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%1 : int = prim::Constant[value=2]()
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