Aaron Shi

Results 52 comments of Aaron Shi

Fix has landed in Kineto, will update this submodule now.

@xuzhao9 - I'm wondering if we should skip tests that don't have this implemented, so we can enforce this?

Hi, I believe the module view is built on the older stack trace information. To enable it, you may need to collect your profiles using ``` from torch._C._profiler import _ExperimentalConfig...

Closing this as we may have a better fix via: https://github.com/pytorch/kineto/pull/926. prototyping it.

What issues did you run into when profiling a multi-CPU host?

There is no functionality for this now, let's continue the discussion about this internally (on your post). Thank you.

There may be a bug causing a difference between the Tensorboard plugin and trace annotation. Could you please provide a screenshot of what you are seeing in both places?

I guess USE_DISTRIBUTED and USE_C10D are checking different things, would like to get some eyes from distributed team on whether this is okay