-
Notifications
You must be signed in to change notification settings - Fork 6.6k
chore(dataflow): use n1 machine types for GPUs #6473
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
chore(dataflow): use n1 machine types for GPUs #6473
Conversation
One test was terminated due to a ~30 minutes timeout, but the actual Dataflow job succeeded. Other tests passed with around 27 minutes, so we might be hitting intermittent timeouts due to the large amount of time taken to build such large container images. |
FYI: @leahecole this should fix some of the failing tests |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
LGTM, thank you!
Description
Fixes #6436
Explicitly use N1 machine types for GPU samples, it looks like the Dataflow service changed the default machine type to E2 shared-core machine types, which are not compatible with GPUs.
https://cloud.google.com/dataflow/docs/concepts/gpu-support#machine_types_specifications
Checklist
nox -s py-3.6
(see Test Environment Setup)nox -s lint
(see Test Environment Setup)