Add complex dtype support in functional autograd test #2244
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mthrok
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Feb 16, 2022
carolineechen
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Feb 16, 2022
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xiaohui-zhang
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Summary: In autograd tests, to guarantee the precision, the dtype of Tensors are converted to `torch.float64` if they are real. However, the complex dtype is not considered. This PR adds `self.complex_dtype` support to the inputs. Pull Request resolved: pytorch#2244 Reviewed By: mthrok Differential Revision: D34272998 Pulled By: nateanl fbshipit-source-id: e8698a74d7b8d99ee0fcb5f5cb5f2ffc8c80b9b5
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In autograd tests, to guarantee the precision, the dtype of Tensors are converted to
torch.float64if they are real. However, the complex dtype is not considered. This PR addsself.complex_dtypesupport to the inputs.