[PR] CUDA tensor validation rejects iqp/iqp-z despite core encoder support #1083 [mahout]

["SuyashParmar (via GitHub)" <gi...@apache.org>]

SuyashParmar opened a new pull request, #1091:
URL: https://github.com/apache/mahout/pull/1091

   QdpEngine.encode() supports iqp and iqp-z in qdp-core, but the CUDA tensor validation path in pytorch.rs 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).
   


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Re: [PR] CUDA tensor validation rejects iqp/iqp-z despite core encoder support #1083 [mahout]

["SuyashParmar (via GitHub)" <gi...@apache.org>]

SuyashParmar closed pull request #1091: CUDA tensor validation rejects iqp/iqp-z despite core encoder support #1083
URL: https://github.com/apache/mahout/pull/1091


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