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Answered
Hi Everyone, I’M Trying To Create A Pipeline From Tasks Without Uploading The Data Into Clearml Server Because

Hi everyone,

I’m trying to create a pipeline from tasks without uploading the data into clearml server because it’s large and I get into memory issues. Instead I want to use tensorflow prefetch to get small batches while training. Is this possible? If so, is there any available example uses tf prefetch ?

  
  
Posted 10 months ago
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Answers 6


That's not that much. You can use the AWS autoscaler and provision a spot g4dn GPU instance with a bit more disk. This should cost you less than 50 cents an hour

  
  
Posted 10 months ago

Yes, works with GCP too

  
  
Posted 10 months ago

Hey Yasir, to use tensorflow prefetch your data needs to be (1) chunked and (2) stored on some server/bucket/network-attached FS. If both conditions are not satisfied, TF prefetch won't help you.

How large is the dataset we're talking about?

  
  
Posted 10 months ago

Thank you. The data is stored in GCP bucket and it’s about 4k images of 640x640. I’m also using host service clearml.

  
  
Posted 10 months ago

Can’t I use GCP?

  
  
Posted 10 months ago

Thank you

  
  
Posted 10 months ago
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