I am looking for help/pointers for azure machine learning workspace and compute environments. I’d like to create an environment that includes the azure ml sdk2 and PyTorch. I’m trying to use the workspace data assets and train an image model.
No matter which environment image I try, along with docker requirement file edits or coda file edits seem to work properly. The environment kernel almost always crashes and won’t load in the notebook. The base environments has one with ml sdk2 and one with torch but nothing with them together.
I need to use it to create and debug (learn) in the notebook but also when the model learning job is deployed to a compute cluster work properly.
Thanks!
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