Fix complex tensor printing#38031
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ssnl
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May 7, 2020
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| has_default_dtype = self.dtype in (torch.get_default_dtype(), torch.int64, torch.bool) | ||
| # TODO: add an API to map real -> complex dtypes | ||
| _default_complex_dtype = torch.cfloat if torch.get_default_dtype() == torch.float else torch.cdouble |
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so if default dtype is half this is cdouble?
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good point! no it should be cdouble if double else cfloat, similar to the logic here
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will update! updated
💊 CI failures summary and remediationsAs of commit 8b2acc1 (more details on the Dr. CI page):
Extra GitHub checks: 1 failed
ci.pytorch.org: 1 failedThis comment was automatically generated by Dr. CI (expand for details).Follow this link to opt-out of these comments for your Pull Requests.Please report bugs/suggestions on the GitHub issue tracker. This comment has been revised 6 times. |
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Differential Revision: [D21502915](https://our.internmc.facebook.com/intern/diff/D21502915) [ghstack-poisoned]
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@anjali411 merged this pull request in 375ddb0. |
laurentdupin
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Summary: Pull Request resolved: pytorch#38031 Test Plan: Imported from OSS Differential Revision: D21502915 Pulled By: anjali411 fbshipit-source-id: 0cc3017a390da55af47ba81f651a883cd52b10da
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Differential Revision: D21502915