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I'm running ray in a JupyterLab notebook (AWS SageMaker), and the notebook has no internet connection (for data safety).
(instance type is ml.p3.16xlarge, so 64 vCPU and 488GiB ram).
Do I need to modify any init settings due to the fact that I'm running in Jupyter and/or because I'm offline?
Ray version and other system information (Python version, TensorFlow version, OS):
Python 3.6.10
ray 0.8.7
The text was updated successfully, but these errors were encountered:
austinmw
added
bug
Something that is supposed to be working; but isn't
triage
Needs triage (eg: priority, bug/not-bug, and owning component)
labels
Aug 24, 2020
Is there any way what exceptions are ignored in your logs?
rkooo567
added
P3
Issue moderate in impact or severity
and removed
triage
Needs triage (eg: priority, bug/not-bug, and owning component)
labels
Aug 28, 2020
@austinmw this is a warning that's printed when a Python file object is created and the file isn't closed before the object is destructed. In most versions of Python this won't be printed, but it will if you're using a debug build or pass -W (and maybe some other circumstances, haven't seen it though).
This is intentional behavior because we need these files to be long-lived to write logs to, so there's nothing to worry about. Unfortunately I can't think of a good way to silence this at the moment. Leaving this issue open for others that might come across it.
What is the problem?
I'm running ray in a JupyterLab notebook (AWS SageMaker), and the notebook has no internet connection (for data safety).
(instance type is
ml.p3.16xlarge
, so 64 vCPU and 488GiB ram).When I simply do:
I get the following output:
Do I need to modify any init settings due to the fact that I'm running in Jupyter and/or because I'm offline?
Ray version and other system information (Python version, TensorFlow version, OS):
The text was updated successfully, but these errors were encountered: