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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/30066 This commit adds design reasoning and walks through four scenarios for RRef. Test Plan: Imported from OSS Reviewed By: rohan-varma Differential Revision: D18595094 Pulled By: mrshenli fbshipit-source-id: 134102901ce515a44a2e7cd013b62143a6158120 |
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| .. | ||
| autograd.rst | ||
| broadcasting.rst | ||
| cpu_threading_torchscript_inference.rst | ||
| cpu_threading_torchscript_inference.svg | ||
| cuda.rst | ||
| distributed_autograd.rst | ||
| extending.rst | ||
| faq.rst | ||
| large_scale_deployments.rst | ||
| multiprocessing.rst | ||
| randomness.rst | ||
| rref.rst | ||
| serialization.rst | ||
| windows.rst | ||