SuyashParmar opened a new issue, #1083: URL: https://github.com/apache/mahout/issues/1083
QdpEngine.encode() supports iqp and iqp-z in qdp-core, but the CUDA tensor validation path in [pytorch.rs](app://-/index.html#) currently rejects these methods and only allows amplitude, angle, and basis. This creates inconsistent behavior: - CPU/list/NumPy paths can use iqp/iqp-z - CUDA tensor path fails early with an unsupported-method error Expected behavior CUDA tensor inputs should allow iqp and iqp-z when dtype/shape/device constraints are satisfied (same style as other supported encodings). -- 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]
