torch::deploy (multipy for non-torch uses) is a system that lets you get around the GIL problem by running multiple Python interpreters in a single C++ process.
Add lintrunner support to the repo. All linters are copied over from pytorch core. Now we can just use lintrunner to do consistent linting with internal on OSS making dev a bit easier.
The PR below this #288 is just a copy and paste of the lintrunner usage in pytorch/pytorch, so this PR only has the changes specific to multipy.
The .clang-format is also taken from pytorch core.
Stack from ghstack (oldest at bottom):
288
Add lintrunner support to the repo. All linters are copied over from pytorch core. Now we can just use lintrunner to do consistent linting with internal on OSS making dev a bit easier.
The PR below this #288 is just a copy and paste of the lintrunner usage in pytorch/pytorch, so this PR only has the changes specific to multipy.
The .clang-format is also taken from pytorch core.