Azure Machine Learning throws error "Invalid graph: You have invalid compute target(s) in node(s)" while running the pipeline

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I am facing a strange issue while dealing with Azure Machine Learning (Preview) interface.

I have designed a training pipeline, which was getting initiated on certain compute node (2 node cluster, with minimal configurations). However, it used to take lot of time for execution. So, I tried to create a new training cluster (8 node cluster, with higher config). During this process, I had created and deleted some of the training clusters.

But, strangely, since then, while submitting the pipeline I am getting error as "Invalid graph: You have invalid compute target(s) in node(s)".

Could you please advise on this situation.

Thanks, Mitul

azure-machine-learning-studio azure-machine-learning-service
2 Answers

I bet this was pretty frustrating. A common debugging strategy I have is to delete compute targets and create new ones. Perhaps this was another "transient" error?

user_38426100

The issue should have been fixed and will be rolled out soon. Meanwhile, as a temporary solution, you can refresh the page to make it work.

user_112974060
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