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  • Created by Unknown User (bearceben), last modified on May 27, 2020

1) Learn the basics of pyTorch in order to build sample submission that exercises the GPU.

2) Update form with edits from Ulli and Carolyn. 

3) Started working on CodaLab V2 and got Miccai 2020 challenge loaded into it. There are still some issues as during a submission it never registers a pass.

Planned for next month

1) Implement Docker image submission with real inference implemented on GPU remote machine.

2) Make edits to PR website as needed.

3) Try to get issue with V2 sorted out.

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.
MeetingDate
Bi-weekly Meeting #1

 

Bi-weekly Meeting #2

 

Milestones

DescriptionDate
Trained my first model in pyTorch

 

Got Miccai 2020 loaded into V2 of CodaLab

 

Task

DescriptionResolutionStatusCreation DateClose Date
Create Docker imagestartedpending

 

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Getting NIH badgestartedpending

 

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Risks

DescriptionMitigationRankStatusCreation DateRealizationClose Date







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