onnxruntime

Make ORT callable from various Pytorch compilers (LazyTensor, TorchDynamo, etc) (#10460)

* Make ORT as Pytorch JIT backend

LORT likely doesn't work with aten fallback so we only test LORT in its own CI.

* Revert changes to enable external CUDA allocator. Will add it later.

Revert "Revert changes to enable external CUDA allocator. Will add it later."

This reverts commit d5487f2e193014c805505afae8fb577c53667658.

Fix external allocator

* Relax tolerance and remove commented code

* Print more information in CI

* Fix pointer

* Address comments.
1. Reuse ORT-eager mode's environment.
2. Remove unused ctor.

* Use Pytorch master branch as all PRs are merged

Fix

* Refine based on cpplint feedbacks

* Revert changes to allow custom CUDA allocator in public APIs

* Use torch.testing.assert_close

* Use unittest framework

* Switch docker repo

* Rename *.cpp to *.cc

* Address comments

* Add comment

* Use same pipeline file for eager and lort pipelines

* Address comments

* Add yaml comment

* Fix cmake files

* Address comments

* Rename flags, remove printing code, remove dead comment