Opening pipes to communicate with user container ...

[h-ahmad]

Issue description

• issue description: I am running 'fraud-detection' example on a single SN node which uses 4 ML/SL nodes as given in the example.
• occurrence: consistent
• error messages: Opening pipes to communicate with user container ...
• commands used for starting containers: SN, SWOP, and SWCI run successfully. The error is raised on SL nodes after running SWCI command.
• docker logs [APLS, SPIRE, SN, SL, SWCI]:
• APLS
• SPIRE
• SN
• SL
• SWCI

  Swarm Learning Version: 1.1.0

• Find the docker tag of the Swarm images ( $ docker images | grep hub.myenterpriselicense.hpe.com/hpe_eval/swarm-learning )

  OS and ML Platform

• details of host OS: Ubunt 22.04
• details of ML platform used: Python 3.10
• details of Swarm learning Cluster (Number of machines, SL nodes, SN nodes): Number of machine = 1, SL/ML nodes = 4, SN node = 1

  Quick Checklist: Respond [Yes/No]

• APLS server web GUI shows available Licenses? Yes
• If Multiple systems are used, can each system access every other system? Yes
• Is Password-less SSH configuration setup for all the systems? Yes
• If GPU or other protected resources are used, does the account have sufficient privileges to access and use them? Yes
• Is the user id a member of the docker group? Yes

Additional notes

• Are you running documented example without any modification? Yes
• Add any additional information about use case or any notes which supports for issue investigation:

NOTE: Create an archive with supporting artifacts and attach to issue, whenever applicable.

[yzzer]

Did you solve this problem? Could you share some tips to solve it?

[h-ahmad]

Are you facing problem with your ML model? If it's related to configuration, you need to explain your setup environment for all nodes.

[yzzer]

SL container output the "Opening pipes to communicate with user container" log. SN work well. How did you solve it ?