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Consider a cluster with utilization_fraction: 1.0 and an unmanaged node.
target_num_workers() == 1 because we receive load metrics from the unmanaged node.
But num_workers = self.workers() + num_pending, and self.workers() already filters out the unmanaged node.
Ray version and other system information (Python version, TensorFlow version, OS):
Reproduction (REQUIRED)
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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.
The text was updated successfully, but these errors were encountered:
wuisawesome
added
bug
Something that is supposed to be working; but isn't
P0
Issues that should be fixed in short order
labels
Oct 16, 2020
What is the problem?
Consider a cluster with
utilization_fraction: 1.0
and an unmanaged node.target_num_workers() == 1
because we receive load metrics from the unmanaged node.But
num_workers = self.workers() + num_pending
, andself.workers()
already filters out the unmanaged node.Ray version and other system information (Python version, TensorFlow version, OS):
Reproduction (REQUIRED)
Please provide a script that can be run to reproduce the issue. The script should have no external library dependencies (i.e., use fake or mock data / environments):
If we cannot run your script, we cannot fix your issue.
The text was updated successfully, but these errors were encountered: