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3) Carolyn and I met to discuss creating first series of videos.

Planned for next month

1) Implement Docker image submission with real inference implemented on GPU remote machineRun test phase and switch competition over to docker submission.

2) Make edits to PR website videos as needed.

3) Try to get issue with V2 sorted outHelp Carolyn with code submission and potentially docker submissions explainations.

Comments

Things that went well:

  • pyTorch is approachable and I'm getting the hang of it. Just trained my very first model. Essentially running this on the path\rad data is all we need.
  • Met with Eric Carmichael from CKCollab (https://www.linkedin.com/in/ericatckcollab/). He is the author of CodaLab V1 and V2 and runs a 6 person company at https://ckcollab.com/.

Things that could be improved:

  • My current understanding of pyTorch
  • Identifying proper Azure OSes that have GPU enabled software and identify which GPUs run on them.

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