fix arange shape issue inconsistency across cpu and cuda #18462
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ssnl
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Mar 26, 2019
| # check that it holds a consistent output shape on precision-cornered step sizes | ||
| d = torch.arange(-4.0, 4.0, 0.01, dtype=torch.float32, device=device) | ||
| self.assertEqual(d.shape[0], 800) | ||
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Mar 26, 2019
Summary: Fixes pytorch/pytorch#18363 Pull Request resolved: pytorch/pytorch#18462 Differential Revision: D14620263 Pulled By: soumith fbshipit-source-id: 223524cdda2f5d55c2ca8d4cdcf6f7a05a6c15eb
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Fixes #18363