How severe does this issue affect your experience of using Ray?
- None: Just asking a question out of curiosity
- Low: It annoys or frustrates me for a moment.
- Medium: It contributes to significant difficulty to complete my task, but I can work around it.
- High: It blocks me to complete my task.
I’m trying to deploy a ray cluster with my custom image: deep-learning-containers/available_images.md at master · aws/deep-learning-containers · GitHub. However, the setup fails with some rsync error:
NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running. Shared connection to 188.8.131.52 closed. 2023-03-08 21:49:17,080 WARNING command_runner.py:1057 -- Nvidia Container Runtime is present, but no GPUs found. ae672b07f18b4cf65f917cb9f0d35c9d80a793eb805abbce70cc953e8a0a15ff Shared connection to 184.108.40.206 closed. Shared connection to 220.127.116.11 closed. protocol version mismatch -- is your shell clean? (see the rsync man page for an explanation) rsync error: protocol incompatibility (code 2) at compat.c(178) [sender=3.1.2] Shared connection to 18.104.22.168 closed. New status: update-failed !!! SSH command failed. !!! Failed to setup head node.