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self-hosted Bitbucket Pipelines don't support GPU runners iterative/cml#1015. A work-around is using TPI task directly in BB Pipelines.
task
Put together an example repo/tuorial:
BB Pipelines -> TPI task (exporting env vars) -> AWS ec2 -> DVC repro && CML report
environment = { "BITBUCKET_*" = "", CI = "" }
image = "nvidia"
tags = { Name = "Foo" }
python train.py
docker run
https://support.atlassian.com/bitbucket-cloud/docs/variables-and-secrets ↩
The text was updated successfully, but these errors were encountered:
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self-hosted Bitbucket Pipelines don't support GPU runners iterative/cml#1015. A work-around is using TPI
task
directly in BB Pipelines.Proposal
Put together an example repo/tuorial:
environment = { "BITBUCKET_*" = "", CI = "" }
image = "nvidia"
tags = { Name = "Foo" }
?python train.py
(using https://github.com/pytorch/examples/tree/main/mnist)docker run
Alternatives
Footnotes
https://support.atlassian.com/bitbucket-cloud/docs/variables-and-secrets ↩
The text was updated successfully, but these errors were encountered: