[RELAND] refactor lazy init to device-agnostic (#119248)
# Motivation
This PR intends to extend `cuda_lazy_init` to `device_lazy_init` which is a device-agnostic API that can support any backend. And change `maybe_initialize_cuda` to `maybe_initialize_device` to support lazy initialization for CUDA while maintaining scalability.
# Design
We maintain a flag for each backend to manage the lazy initialization state separately.
# Additional Context
No need more UTs.
This is a reland PR, the original PR is [refactor lazy init to device-agnostic](https://github.com/pytorch/pytorch/pull/118846).
This is a common PR, and does not trigger xpu ciflow.
Differential Revision: [D53478332](https://our.internmc.facebook.com/intern/diff/D53478332)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/119248
Approved by: https://github.com/EikanWang, https://github.com/gujinghui, https://github.com/jgong5, https://github.com/atalman
