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We Have A Use Case Where An Experiment Consists Of Multiple Docker Containers. For Example, One Container Works On Cpu Machine, Preprocesses Images And Puts Them Into Queue. The Second One (Main One) Resides On Gpu Machine, Reads Tensors And Targets From
After re-reading your question, it might be difficult to have cross-process communication though. So if you want the preprocessing to happen at the same time as the training and the training to pull data from the preprocessing on the fly, that might be more difficult. Is this your usecase?
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one year ago
one year ago