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Thank you for your work. I use mip as part of a neural network training pipeline. I used it specifically in an evaluation metric, smatchpp in a multi-node, multi-thread environment. I just found that my training sometimes, non-deterministically, seems to crash but I can't figure out where the problem lies (in my own code or in the smatchpp lib) because the error trace is so obfuscated. This is what I see:
I have no idea how to read this (I am used to Python stack traces). I see references to both mip (at the top) and torch near the end. So who was causing the error, mip or torch? And how can I pinpoint where the issue lies? Is it possible to get or implement more verbose error traces for mip?
The text was updated successfully, but these errors were encountered:
Hello
Thank you for your work. I use
mip
as part of a neural network training pipeline. I used it specifically in an evaluation metric, smatchpp in a multi-node, multi-thread environment. I just found that my training sometimes, non-deterministically, seems to crash but I can't figure out where the problem lies (in my own code or in the smatchpp lib) because the error trace is so obfuscated. This is what I see:I have no idea how to read this (I am used to Python stack traces). I see references to both
mip
(at the top) andtorch
near the end. So who was causing the error, mip or torch? And how can I pinpoint where the issue lies? Is it possible to get or implement more verbose error traces formip
?The text was updated successfully, but these errors were encountered: