Elias Ellison 0ecf1add1b Introduce function-local settings for executor, expose in c++ (#74012) ... Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/74012 This allows setting an executor on a function. The first use case is use to decompositions in C++ without additional fusion passes etc which might not work with custom tensors like batched tensors/vmap. A subsequent use case might be taking advantage of invokees of JIT execution which guard on certain properties before invocation (such as complete shapes in AOT autograd, rank in lazy tensor). Test Plan: Imported from OSS Reviewed By: gchanan Differential Revision: D34938124 Pulled By: eellison fbshipit-source-id: cf7a45416457942b872322cab47d871a8336bdb5 (cherry picked from commit 9c600eb9ad0f2173f003e511268e97584edae36d)		2022-03-29 18:38:52 +00:00
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api	Resolve int[]? arguments to new OptionalIntArrayRef class	2022-03-26 01:45:50 +00:00
c10d
common
dist_autograd
jit	Introduce function-local settings for executor, expose in c++ (#74012)	2022-03-29 18:38:52 +00:00
lazy	Land remaining parts of Torchscript Lazy Tensor backend (#74111)	2022-03-22 23:14:03 +00:00
lite_interpreter_runtime	[PyTorch] Add codegen unboxing ability (#69881)	2022-03-01 23:28:13 +00:00
monitor	torch/monitor: merge Interval and FixedCount stats (#72009)	2022-01-30 23:21:59 +00:00
profiler	[Profiler] Prefer TSC to wall clock when available (#73855)	2022-03-13 18:29:06 +00:00
rpc
tensorexpr	[Quant][core] Merged conv packed params and linear packed params (#73486)	2022-03-11 15:18:45 +00:00
__init__.py