Making AMD GPU development easier, more reproducible, and less locked to CUDA-only workflows.

• ROCm ReproLab — deterministic AMD/ROCm failure reproduction bundles, smoke probes, and regression diffs.
• HIP/ROCm debugging workflows for PyTorch, kernels, runtime setup, container mismatches, and backend regressions.
• Practical CUDA-to-AMD compatibility notes for developers and maintainers.
• Upstreamable AMD contributions: small docs patches, reproducibility checklists, minimal repros, and evidence-backed bug reports.

➡️ ROCm ReproLab

ROCm ReproLab captures a failing command, AMD/ROCm environment metadata, stdout/stderr, smoke-probe results, and a simple failure classification into a reproducible bundle that maintainers can inspect and compare.

rocm-repro capture --command "python reproduce_bug.py" --cwd /path/to/project --out bug.zip --smoke
rocm-repro issue bug.zip > ISSUE.md
rocm-repro diff good.zip broken.zip

1. Build or debug AMD-first tooling locally.
2. Commit source and docs to GitHub.
3. If the work identifies a general ROCm maintainability improvement, turn it into a narrow upstream AMD issue/PR draft.
4. Share the result on AMD Developer Community and Reddit with reproducible evidence, not hype.

Every CUDA-only bug report that becomes reproducible on AMD is a win for open GPU computing.