| Event supports cross-process and cross-device (IPC event)
Co-authored-by: liujunzhu<liujunzhu@huawei.com>
# message auto-generated for no-merge-commit merge:
!28520 merge v2.7.1 into v2.7.1
Event supports cross-process and cross-device (IPC event)
Created-by: liujunzhu
Commit-by: liujunzhu
Merged-by: ascend-robot
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**What type of PR is this?**
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**What does this PR do / why do we need it**:
event能力对齐cuda，支持跨进程与跨设备使用。
CUDA跨进程共享内存和跨设备拷贝内存时使用Event进行同步，而torch npu使用SynchronizeStream进行同步，希望torch_npu支持在跨设备和跨内存的场景也使用Event进行同步，提升整体性能。另外，需支持通过Python接口在进程间传递Event对象或Event handle并使用该Event进行进程间的同步。
相关场景如下：
1、跨进程使用Event：进程间传递interprocess=True的Event对象、Event的IPC Handle或torch.multiprocessing.reductions.reduce_event(event)的结果。
2、跨进程共享NPU内存：包括进程间通过参数或队列传递Tensor、进程间通过torch.multiprocessing.reductions.reduce_tensor()传递Tensor、进程间通过_share_npu_传递Tensor。
3、跨设备拷贝NPU内存：调用Tensor.to()或Tensor.copy_()接口。
不支持跨设备或跨进程使用interprocess=False的Event。
**Which issue(s) this PR fixes**:
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Fixes #
**Special notes for your reviewers**:
See merge request: Ascend/pytorch!28520 | 5 个月前 |
