High: It blocks me to complete my task.
Could not see what is up and what is not. I checked with netstat if the port 8265 is open, and it is NOT.
Should I roll back to previous version?
This resolved the dashboard issue, pip install --upgrade --force-reinstall ‘ray[default]’, But there is a conflict with other packages,
ERROR: pip’s dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
tensorflow 2.17.0 requires protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3, but you have protobuf 5.29.3 which is incompatible.
Is there a reason why you use protobuf 5.29.3?
This conflict doesn’t have anything to do with Ray. Ray’s requirement for protobuf: ray/python/requirements.txt at 41d15db58dc52ea00e5ba2c07137f7070d3d5dd7 · ray-project/ray · GitHub