Pritam Damania c3b2c2e353 Design doc for distributed autograd. (#29175) ... Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/29175 Updates our docs to include a design doc for distributed autograd. Currently, this doc only covers the FAST mode algorithm. The Smart mode algorithm section just refers to the original RFC. There is a section for Distributed Optimizer that we can complete once we've finalized the API for the same. ghstack-source-id: 93701129 Test Plan: look at docs. Differential Revision: D18318949 fbshipit-source-id: 670ea1b6bb84692f07facee26946bbc6ce8c650c		2019-11-12 15:04:23 -08:00
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autograd.rst
broadcasting.rst
cpu_threading_torchscript_inference.rst	Bag of documentation fixes; fix more sphinx warnings (#27850)	2019-10-15 07:31:14 -07:00
cpu_threading_torchscript_inference.svg	Threading and CPU Inference note	2019-07-29 15:45:49 -07:00
cuda.rst	Comprehensive-ish instrumentation for CUDA memory allocator (#27361)	2019-10-08 15:42:48 -07:00
distributed_autograd.rst	Design doc for distributed autograd. (#29175)	2019-11-12 15:04:23 -08:00
extending.rst	Clean extending autograd doc for output size 1 (#28860)	2019-10-30 13:57:10 -07:00
faq.rst
large_scale_deployments.rst	Thread local debug info	2019-08-12 14:53:57 -07:00
multiprocessing.rst
randomness.rst
serialization.rst
windows.rst	Bag of documentation fixes; fix more sphinx warnings (#27850)	2019-10-15 07:31:14 -07:00