rasterize: fail fast on GPU scanline edge cap (#2067)#2072
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The CUDA scanline kernel allocates a fixed-size cuda.local.array(2048) for active edges per row. Rows exceeding that cap silently truncated and produced wrong output. The eager CuPy path issued a RuntimeWarning but still returned the corrupted raster. The Dask+CuPy tile path had no check at all, so per-tile truncation was silent. Both paths now share _check_gpu_edge_cap(row_ptr) which raises a ValueError pointing the caller at the numpy backend. Closes #2067
# Conflicts: # xrspatial/tests/test_rasterize.py
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Summary
The CUDA polygon scanline kernel allocates a fixed-size
cuda.local.array(2048)for active edges per raster row. Rows exceeding that cap silently truncated and produced wrong output.RuntimeWarningbut still return the corrupted raster.Both paths now call a shared
_check_gpu_edge_cap(row_ptr)that raises aValueErrorpointing the caller at the numpy/dask+numpy backend.The validator runs host-side, so the regression test does not need a GPU.
Closes #2067
Test plan
test_gpu_edge_cap_check_raisesconstructs arow_ptrexceeding the cap and assertsValueError.test_gpu_edge_cap_check_passes_at_limitconfirms exactly-at-cap is permitted.