Fixes #885: add dask+cupy backends for focal tools#896
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brendancol merged 2 commits intomasterfrom Feb 25, 2026
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…tats Wire existing cupy CUDA kernels through map_overlap for dask+cupy inputs so GPU-cluster users no longer need to .compute() first, avoiding OOM on large datasets.
…ct_latlon_coords All downstream consumers are read-only, so broadcast views suffice. Avoids materializing two full (H, W) float64 arrays (~16 bytes/pixel).
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Summary
_mean_dask_cupy,_apply_cupy,_apply_dask_cupy, and_focal_stats_dask_cupyfunctions that wrap existing CUDA kernels withmap_overlapfor dask+cupy inputsArrayTypeFunctionMappingdispatchers, replacingnot_implemented_funcstubsNotImplementedErrortest formean()with a correctness test; add new tests forapply()(cupy + dask+cupy) andfocal_stats()(dask+cupy)Test plan
pytest xrspatial/tests/test_focal.py -x -v— all 103 tests passpytest xrspatial/tests/test_focal.py -x -v -k "dask_cupy or dask_gpu"— 3 new dask+cupy tests pass