cupynumeric-parallel-data-load

On the Rokha Registry · clawhub · 0 Rokha runs · 568 downloads

Load a sharded, on-disk dataset (sharded .npy, Parquet/Arrow, raw binary, sharded HDF5, custom layouts) into a distributed cuPyNumeric ndarray via a manual partition + leaf @task launch with CPU/OMP/GPU variants. Use when no single-call loader fits, including when per-shard row counts differ across

data filesystem

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