You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository was archived by the owner on Apr 1, 2021. It is now read-only.
I was just playing around with this optimization pass with the main PyTorch project. I was curious to understand why control flow operators are not handled here. What was the issue? I had lodged a question on the PyTorch discuss forum about the issue I was facing in my experimentation. Would anyone here be able to help with it?
TL;DR : In my experimentation, I was finding that subgraph_utils in PyTorch repo doesn't handle merging of nodes, when the inputs of the node belongs to outputs of another block's nodes. Is this understanding correct? Any pointers would be highly appreciated :)
I was just playing around with this optimization pass with the main PyTorch project. I was curious to understand why control flow operators are not handled here. What was the issue? I had lodged a question on the PyTorch discuss forum about the issue I was facing in my experimentation. Would anyone here be able to help with it?
TL;DR : In my experimentation, I was finding that subgraph_utils in PyTorch repo doesn't handle merging of nodes, when the inputs of the node belongs to outputs of another block's nodes. Is this understanding correct? Any pointers would be highly appreciated :)