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1) Built pyTorch model that trains and uses a GPU

2) Built Miccai 2020 staging VM to create exact replica of our real challenge to deploy docker submission to.

Planned for next month

1) Hook up real data to GPU VM for docker submissions

2) Try to get issue with V2 sorted out.

Comments

Things that went well:

pyTorch model works and I created a docker image housing it and the steps to make the csv submission for the challenge.
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.

Meeting	Date
Bi-weekly Meeting #1	14 May 2020
Bi-weekly Meeting #2	28 May 2020

Milestones

Description	Date
Trained my first model in pyTorch	12 May 2020
Got Miccai 2020 loaded into V2 of CodaLab	21 May 2020

Task

Description	Resolution	Status	Creation Date	Close Date
Create Docker image	started	pending	13 May 2020	--
Getting NIH badge	started	pending	14 May 2020	--

Risks

Description	Mitigation	Rank	Status	Creation Date	Realization	Close Date