What is the problem?
This is because they keep passing the deleted redis_password keyword.
For example,
$ ray memory
2020-09-09 05:24:50,248 INFO scripts.py:1474 -- Connecting to Ray instance at 172.31.56.46:6379.
Traceback (most recent call last):
File "/home/ubuntu/anaconda3/bin/ray", line 8, in <module>
sys.exit(main())
File "/home/ubuntu/anaconda3/lib/python3.6/site-packages/ray/scripts/scripts.py", line 1602, in main
return cli()
File "/home/ubuntu/anaconda3/lib/python3.6/site-packages/click/core.py", line 829, in __call__
return self.main(*args, **kwargs)
File "/home/ubuntu/anaconda3/lib/python3.6/site-packages/click/core.py", line 782, in main
rv = self.invoke(ctx)
File "/home/ubuntu/anaconda3/lib/python3.6/site-packages/click/core.py", line 1259, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "/home/ubuntu/anaconda3/lib/python3.6/site-packages/click/core.py", line 1066, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "/home/ubuntu/anaconda3/lib/python3.6/site-packages/click/core.py", line 610, in invoke
return callback(*args, **kwargs)
File "/home/ubuntu/anaconda3/lib/python3.6/site-packages/ray/scripts/scripts.py", line 1475, in memory
ray.init(address=address, redis_password=redis_password)
TypeError: init() got an unexpected keyword argument 'redis_password'
Also I feel confused about many prompts and docs still mentioning redis_password while it no longer exists in ray.init
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.
What is the problem?
This is because they keep passing the deleted
redis_passwordkeyword.For example,
Also I feel confused about many prompts and docs still mentioning
redis_passwordwhile it no longer exists inray.initReproduction (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.