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Summary: Initial integration of eager autocasting, supporting out-of-place ops only for easier review. Relevant issue/RFC: https://github.com/pytorch/pytorch/issues/25081 In-place ops and ops with user-supplied `out=...` can certainly be supported as well (my initial WIP https://github.com/pytorch/pytorch/pull/29552 handled many) but require substantially more complex special casing in the autocasting backend and tests. Support for these ops (much of which has already been written) will be broken into later PRs. Pull Request resolved: https://github.com/pytorch/pytorch/pull/32140 Differential Revision: D20346700 Pulled By: ezyang fbshipit-source-id: 12d77b3917310186fbddf11c59b2794dc859131f |
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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 | ||
