Dockerfile for RoCE Workload, Build and Setup scripts for image generation and Readme for RCCL runs.

[sundar-pds]

No description provided.

[Copilot]

Pull request overview

This PR introduces a Docker-based infrastructure for running RoCE (RDMA over Converged Ethernet) workloads with RCCL (ROCm Communication Collectives Library). The implementation includes a Dockerfile that bundles ROCm, RCCL, OpenMPI, UCX, and AMD AINIC drivers, along with supporting scripts for building and executing distributed GPU workloads.

Key changes:

• Dockerfile for building a comprehensive RoCE workload environment with AMD GPU support
• Build script (docker-build.sh) for automated image generation with configurable parameters
• Runtime script (run_rccl.sh) for executing RCCL performance tests across multiple nodes
• Utility script (show_gid) for displaying InfiniBand GID information
• Documentation covering build instructions and usage examples

Reviewed changes

Copilot reviewed 5 out of 5 changed files in this pull request and generated 4 comments.

Show a summary per file

File	Description
docker/roce-workload/Dockerfile	Multi-stage build setup installing UCX, OpenMPI, RCCL, AMD Network Plugin, and AINIC drivers with SSH configuration for distributed runs
docker/roce-workload/docker-build.sh	Build automation script parameterizing image tags, driver versions, and component versions
docker/roce-workload/run_rccl.sh	MPI launcher script configured with RCCL-specific environment variables for multi-node collective operations
docker/roce-workload/show_gid	Bash utility for displaying InfiniBand device GIDs with color-coded output
docker/roce-workload/README.md	Documentation providing build instructions and deployment workflow

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[sundar-pds]

Any further comments on this PR will be addressed in a subsequent PR. Will merge this PR now .