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suppress errors in vision/fair/pytorch3d
Differential Revision: D38529199 fbshipit-source-id: 4bc0574493b60f13e08d9ea7bded862778b3d171
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@ -323,7 +323,6 @@ def random_quaternions(
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"""
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if isinstance(device, str):
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device = torch.device(device)
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# pyre-fixme[6]: For 2nd param expected `dtype` but got `Optional[dtype]`.
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o = torch.randn((n, 4), dtype=dtype, device=device)
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s = (o * o).sum(1)
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o = o / _copysign(torch.sqrt(s), o[:, 0])[:, None]
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