Ruiyang Wang

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Test (basic_3.py) passing. There are some failures in Serve docs which should be irrevant.

Added the 5th check, and a unit test. It should work now, @rkooo567

Premerge failure due to it adds a read to gcs on core worker creation. It can happen very slow (as slow as 3 second in bad cases) and makes some...

Hi @bveeramani could you explain why [pd.DataFrame.memory_usage](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.memory_usage.html) is inaccurate? e.g. do we have more mem usage than the data frame? It sounds like a bug on its own right.

Can you retry with ray 2.22.0 and print the result differences? Thanks

We don't have AMD GPU environments. If you can provide us an environment to reproduce, please ping us on Slack. https://ray-distributed.slack.com/team/U055TQCDAAY

If you don't set num_cpus or num_gpus, Ray will auto detect. Have you tried to not set num_gpus and see if it can detect the CPU and GPU counts?

We use this code https://github.com/ray-project/ray/blob/e75689e85552cc7b7dc0b4724ff7329496064435/python/ray/_private/utils.py#L544 to detect CPUs. It reads from cgroup files, or from multiprocessing package.