pytorch

8258d42b - [pytorch] add '__BASE__' section to op deps to factor out frequently used util ops (#37404)

[pytorch] add '__BASE__' section to op deps to factor out frequently used util ops (#37404) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/37404 Many aten operators are really like util functions, e.g.: aten::is_nonzero, aten::is_floating_point, etc. These ops can be called via overloaded c++ operator, so seemingly trivial and innocent code changes can affect how these ops are used by other ops (thus changes the output of static analyzer). Most of these util ops are rather small in terms of build size cost, so for the purpose of optimizing binary size with custom build, whether to include these ops or not does not make significant difference. In fact for non-trivial models a set of these ops are almost always used. This PR introduced the (optional) '__BASE__' ops section to the dependency graph. We can maintain the list of frequently used small util ops for internal BUCK build. This way, the output dependency graph will only contain meaningful edges with significant binary size impact, and it will be more stable from trivial code changes (which is checked in FB codebase). Having a stable and sparse deps graph by factoring out frequently used based ops is also a nice property to allow us to explore alternative custom build solutions in case we find it hard to maintain the static code analyzer. Test Plan: Imported from OSS Differential Revision: D21280835 Pulled By: ljk53 fbshipit-source-id: c4d0d1f07ca868c60f23118d877fc1eeead4c875