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70d9be0f42
Summary: It is always easier to read a document when different objects / concepts denoted with different variables / representations. In this PR we make sure the [complex autograd](https://pytorch.org/docs/master/notes/autograd.html#autograd-for-complex-numbers) documentation, the variable of output and step size diverge. Fixes https://github.com/pytorch/pytorch/issues/53633 Pull Request resolved: https://github.com/pytorch/pytorch/pull/56804 Reviewed By: anjali411 Differential Revision: D27989959 Pulled By: iramazanli fbshipit-source-id: c271590ee744c8aeeff62bfaa2295429765ef64e |
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| .. | ||
| amp_examples.rst | ||
| autograd.rst | ||
| broadcasting.rst | ||
| cpu_threading_runtimes.svg | ||
| cpu_threading_torchscript_inference.rst | ||
| cpu_threading_torchscript_inference.svg | ||
| cuda.rst | ||
| ddp.rst | ||
| extending.rst | ||
| faq.rst | ||
| large_scale_deployments.rst | ||
| modules.rst | ||
| multiprocessing.rst | ||
| randomness.rst | ||
| serialization.rst | ||
| windows.rst | ||
