How to track worker contribution

How severe does this issue affect your experience of using Ray?

  • None: Just asking a question out of curiosity

I am currently using 4 machines in a ray cluster, with different numbers of workers in each (also with different cpu types and speeds). Is there a way for me to assess the relative contribution of each worker? For example, a table of tasks completed vs worker id?

(Using python.)

I don’t think this is possible/easy today, but would be a fair thing to file a feature request for on Github. Sign in to GitHub · GitHub

@hcsmtt should we close this issues since today it’s not possible as @Alex mentions?