alisha-1000 commented on issue #799: URL: https://github.com/apache/mahout/issues/799#issuecomment-3939385058
Hi @guan404ming, Thanks for maintaining this detailed roadmap — it’s very helpful for understanding QDP’s current maturity. I’m looking to contribute in a way that aligns with the Qumat 0.5.x milestone priorities. From the roadmap, it seems the remaining high-impact areas are: Phase 5: Input format support (Torch / NumPy / TensorFlow) Phase 6: Cross-device testing Phase 8: Documentation, example notebooks, benchmarks Multi-architecture GPU optimization (Phase 7) Could you advise which of these areas is currently the highest priority for contributors? I’m particularly interested in: TensorFlow DLPack GPU pathway (#729) Batch shape/stride correctness for DLPack (#746) Multi-architecture GPU optimization (if scoped) I’d like to make sure my contribution aligns with the near-term release goals. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
