8000 ValueError: After taking into account object store and redis memory usage, the amount of memory on this node available for tasks and actors (-0.01 GB) is less than 0% of total. You can adjust these settings with ray.init(memory=<bytes>, object store memory=<bytes> · Issue #12561 · ray-project/ray · GitHub
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ValueError: After taking into account object store and redis memory usage, the amount of memory on this node available for tasks and actors (-0.01 GB) is less than 0% of total. You can adjust these settings with ray.init(memory=<bytes>, object store memory=<bytes> #12561
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@LianShuaiLong

Description

@LianShuaiLong

What is the problem?

when i run ray with 10 cpu and 10g memeory per cpu,i get the error,
how should i do?
Ray version and other system information (Python version, TensorFlow version, OS):
ray:1.0
tensorflow:1.14

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  • I have verified my script runs in a clean environment and reproduces the issue.
  • I have verified the issue also occurs with the latest wheels.

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    P3Issue moderate in impact or severitybugSomething that is supposed to be working; but isn'tfix-error-msgThis issue has a bad error message that should be improved.pending-cleanupThis issue is pending cleanup. It will be removed in 2 weeks after being assigned.

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