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Summary: Adds a note explaining the difference between several often conflated mechanisms in the autograd note Also adds a link to this note from the docs in `grad_mode` and `nn.module`. Pull Request resolved: https://github.com/pytorch/pytorch/pull/58513 Reviewed By: gchanan Differential Revision: D28651129 Pulled By: soulitzer fbshipit-source-id: af9eb1749b641fc1b632815634eea36bf7979156 |
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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 | ||
| gradcheck.rst | ||
| hip.rst | ||
| large_scale_deployments.rst | ||
| modules.rst | ||
| multiprocessing.rst | ||
| randomness.rst | ||
| serialization.rst | ||
| windows.rst | ||