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https://github.com/zebrajr/pytorch.git
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fc6a153688
Summary: Also, windows memory failures responsible for the earlier reversion have been fixed. This PR (initially) contains 2 commits: * a revert of the revert * all changes to implement the original Apex scale update heuristic, squashed into a single commit for easier diff review Pull Request resolved: https://github.com/pytorch/pytorch/pull/33366 Differential Revision: D20099026 Pulled By: ngimel fbshipit-source-id: 339b9b6bd5134bf055057492cd1eedb7e4461529 |
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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 | ||
| distributed_autograd.rst | ||
| extending.rst | ||
| faq.rst | ||
| large_scale_deployments.rst | ||
| multiprocessing.rst | ||
| randomness.rst | ||
| rref.rst | ||
| serialization.rst | ||
| windows.rst | ||
