ray: 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=, object store memory=

What is the problem?

when i run ray in ML platform,

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>

occurs can you tell me the approximate value of memory size /object store memory i should set ? thanks

Ray version and other system information (Python version, TensorFlow version, OS):

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  • I have verified the issue also occurs with the latest wheels.

About this issue

  • Original URL
  • State: open
  • Created 4 years ago
  • Reactions: 1
  • Comments: 21 (10 by maintainers)

Most upvoted comments

Any documentation about correctly initializing Ray inside a docker container? Hitting same issue here.

After upgrading to Ray 2.0, issue is gone on my side.