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Home Page: http://portal-gun.readthedocs.io
License: MIT License
Deep Learning on Amazon EC2 Spot Instances without the agonizing pain.
Home Page: http://portal-gun.readthedocs.io
License: MIT License
Would it be possible to have API access so that usage is programmable via Python directly and not only CLI e.g:
from portal_gun import PortalGun
portal = PortalGun({
Volume={... volume parameters}
})
# open spot request
portal.open()
Thanks in advance.
Would be practical to be able to associate instances with a specific role. e.g. to access s3 storage (I store the checkpoints there), without having to manually set aws credentials after SSHing in.
It would only require to add IamInstanceProfile
to LaunchSpecifications
, so it could just be another setting like 'iam_instance_role'.
Also is it possible to have a post-launch script? e.g to launch training immediately after launch
Or is the only way to ssh in and launch manually?
"spot_instance": {
"instance_type": "g3s.xlarge"|"g2.2xlarge"|"p2.xlarge"
How do I pass multiple instance types in the config file like in the UI for better availability?
Hello Coderik,
I love your repo, great name too. But I've found some problems.
First, this package is incompatible with Python3 because of some incorrect import sentence. (You can't use implicit relative in python3 ). Also, the Fabric package has updated to version 2 and changed a lot.
Thank you
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