Version 17: Add PyTorch tensor interoperability - #13
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Add optional PyTorch tensor arguments for compile-only CPU use and zero-copy CUDA execution through DLPack. Preserve PyTorch stream and device semantics across CUDA and MLIR launches, validate incompatible runtime argument combinations, and document the integration.
Tests:
conda run -n mycuda make(337 passed)