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Answered
Hi! I Have A Question Regarding Performances Of The Clearml-Server: Are The Calls From The Agents Made Asynchronously/In A Non Blocking Separate Thread? Is The Connection To The Clearml-Server Expected To Be A Bottleneck If The Clearml-Server Is Far From

Hi! I have a question regarding performances of the clearml-server: are the calls from the agents made asynchronously/in a non blocking separate thread? is the connection to the clearml-server expected to be a bottleneck if the clearml-server is far from the agents (and therefore the latency is high)?

  
  
Posted 3 years ago
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Answers 8


The latest RC (0.17.5rc6) moved all logs into separate subprocess to improve speed with pytorch dataloaders

  
  
Posted 3 years ago

Is there one?

No, I rather wanted to understand how it worked behind the scene 🙂

The latest RC (0.17.5rc6) moved all logs into separate subprocess to improve speed with pytorch dataloaders

That’s awesome!

  
  
Posted 3 years ago

I mean when sending data from the clearml-agents, does it block the training while sending metrics or is it done in parallel from the main thread?

  
  
Posted 3 years ago

Multi-threaded multi-processes multi-nodes 🙂

  
  
Posted 3 years ago

potential sources of slow down in the training code

Is there one?

  
  
Posted 3 years ago

I don’t think it is, I was rather wondering how you handled it to understand potential sources of slow down in the training code

  
  
Posted 3 years ago

Why do you ask? is your server sluggish ?

  
  
Posted 3 years ago

JitteryCoyote63

are the calls from the agents made asynchronously/in a non blocking separate thread?

You mean like request processing on the apiserver are multi-threaded / multi-processed ?

  
  
Posted 3 years ago
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