Fix complex tensor printing #38031
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Fix complex tensor printing #38031
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anjali411
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May 7, 2020
ghstack-source-id: 652f9f010150fd1a188392751282e2b8f699d1b9 Pull Request resolved: #38031
ssnl
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May 7, 2020
torch/_tensor_str.py
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| @@ -280,7 +280,9 @@ def _str(self): | |||
| or (self.device.type == 'cuda' and torch.cuda.current_device() != self.device.index): | |||
| suffixes.append('device=\'' + str(self.device) + '\'') | |||
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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. |
[ghstack-poisoned]
anjali411
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May 11, 2020
ghstack-source-id: 34bfb5c5632302258f29eb29a199dc49302ca8d6 Pull Request resolved: #38031
Differential Revision: [D21502915](https://our.internmc.facebook.com/intern/diff/D21502915) [ghstack-poisoned]
anjali411
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May 12, 2020
ghstack-source-id: 96c5973dedb918eea36a825c1d04737c9268b059 Pull Request resolved: #38031
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@anjali411 merged this pull request in 375ddb0. |
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Stack from ghstack:
Differential Revision: D21502915