pytorch

37b468ac - [xnnpack][lite-int][on-device] rebuild serialized modules at runtime (#88780)

[xnnpack][lite-int][on-device] rebuild serialized modules at runtime (#88780) This is the on-device runtime work. We modify the compile and execute from our hacky solution from before to what will actually be running at runtime. First we rebuild our graph from the serialized flatbuffer string. We also introduce a runtime wrapper that inherits CustomClassHolder that allows us to forward along the built xnngraph runtime to our execute function Once the subgraph object has been rebuilt by our we pass it along to the runtime wrapper for us to forward along to execute At execute we prep the input/outputs and invoke the runtime using our runtime wrapper. Finally we forward those results to our execution Differential Revision: [D39413031](https://our.internmc.facebook.com/intern/diff/D39413031/) **NOTE FOR REVIEWERS**: This PR has internal Meta-specific changes or comments, please review them on [Phabricator](https://our.internmc.facebook.com/intern/diff/D39413031/)! Pull Request resolved: https://github.com/pytorch/pytorch/pull/88780 Approved by: https://github.com/digantdesai