Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/35115
This commit runs the newly added tools/clang_format.py on the JIT
codebase and includes all of the formatting changes thus produced.
Testing:
Ran the script, CI.
Test Plan: Imported from OSS
Reviewed By: eellison
Differential Revision: D20568523
Pulled By: SplitInfinity
fbshipit-source-id: e09bdb982ccf090eecfb7c7b461b8d0681eef82b
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/34515
Once upon a time we thought this was necessary. In reality it is not, so
removing it.
For backcompat, our public interface (defined in `api/`) still has
typedefs to the old `script::` names.
There was only one collision: `Pass` as a `Stmt` and `Pass` as a graph
transform. I renamed one of them.
Test Plan: Imported from OSS
Differential Revision: D20353503
Pulled By: suo
fbshipit-source-id: 48bb911ce75120a8c9e0c6fb65262ef775dfba93
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/26489
This basically fixes Inline(recurse=true) and makes it a default. One
reservation against running inlining recursively in the original
implementation was that we might hit a quadratic behavior, but in this
implementation it's not an issue since we're inlining only already
inlined graphs and as we recursively descend the call tree we're caching
graphs we've already optimized.
Test Plan: Imported from OSS
Differential Revision: D17485744
Pulled By: ZolotukhinM
fbshipit-source-id: 2ed7bdc69863b90a8c10a385d63f8e7c9e7b05f5
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
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/25052
Previously we would not inline nested functions, now we do.
Test Plan: Imported from OSS
Differential Revision: D16973848
Pulled By: suo
fbshipit-source-id: 94aa0b6f84a2577a663f4e219f930d2c6396d585
