Mikhail Zolotukhin 76e2ffc877 Remove 'recurse' parameter from Inline. (#26487) ... Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/26487 The way it is implemented currently is bad because while we're inlining to a graph G, we are also mutating all the graphs that are being inlined. The problem is that the graphs we're inlining are usually the original graphs of functions, so we're silently changing them behind the scenes, and we don't have a way to recover 'unoptimized' graphs afterwards. Test Plan: Imported from OSS Differential Revision: D17485748 Pulled By: ZolotukhinM fbshipit-source-id: 6094ef56077240e9379d4c53680867df1b6e79ef		2019-09-24 00:22:18 -07:00
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api	C++ API parity: at::Tensor::detach	2019-09-22 06:10:48 -07:00
common
dist_autograd	Attach 'send' autograd function to the autograd graph as part of RPC. (#24876)	2019-09-01 23:54:01 -07:00
jit	Remove 'recurse' parameter from Inline. (#26487)	2019-09-24 00:22:18 -07:00
__init__.py