ray: `ray.init` on WSL does not work
What is the problem?
Ray version and other system information (Python version, TensorFlow version, OS): 0.8
This was reported in Modin. See discussion here: https://discuss.modin.org/t/problem-when-running-code-with-modin-1-time/90/2
This is related to, but not the same as #3059. See logs below
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):
import ray
ray.init()
Logs below:
2020-01-23 14:09:01,315 INFO resource_spec.py:216 – Starting Ray with 30.32 GiB memory available for workers and up to 15.16 GiB for objects. You can adjust these settings with ray.init(memory=, object_store_memory=).
F0123 14:09:07.020850 1052 redis_context.cc:215] Could not establish connection to redis 10.46.89.57:57714 (context.err = 1)
*** Check failure stack trace: ***
@ 0x7f9b27d3f98d (unknown)
@ 0x7f9b27d40dfc (unknown)
If we cannot run your script, we cannot fix your issue.
- 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.
About this issue
- Original URL
- State: closed
- Created 4 years ago
- Reactions: 3
- Comments: 30 (11 by maintainers)
I have the same problem, it’s working on linux, but I get the error on my WSL.