geotiff: GPU writer overview loop uses cupy.putmask for in-place NaN rewrite (#1948)

xrspatial/geotiff/_writers/gpu.py

@@ -479,8 +479,31 @@ def _gpu_compress_to_part(gpu_arr, w, h, spp):
         # all-sentinel cell NaN back to the sentinel after each level
         # so the on-disk overview tiles still carry the sentinel value
         # external readers expect.
+        #
+        # The sentinel rewrite uses ``cupy.putmask`` rather than
+        # ``current.copy(); current[nan_mask] = sentinel`` because
+        # ``make_overview_gpu`` always returns a freshly allocated
+        # buffer (``_block_reduce_2d_gpu`` ends in ``cupy.nan*`` /
+        # ``cupy.around(...).astype(...)`` / ``cropped[::2, ::2].copy()``,
+        # and the 3-D path ends in ``cupy.stack``) so nothing else
+        # aliases the buffer between the return and the rewrite.
+        # Dropping the redundant ``copy()`` skips one chunk-sized GPU
+        # allocation per overview level. Mirrors the in-place sentinel
+        # rewrite ``_apply_nodata_mask_gpu`` adopted in #1934. See
+        # issue #1948.
         current = arr
         cumulative_factor = 1
+        # ``make_overview_gpu`` preserves dtype, so the sentinel cast is
+        # loop-invariant. Hoist it (and the float/finite gate) out of the
+        # inner ``while`` to skip redundant per-level scalar work.
+        rewrite_nodata = (
+            nodata is not None
+            and np_dtype.kind == 'f'
+            and not np.isnan(float(nodata))
+        )
+        sentinel_scalar = (
+            np_dtype.type(nodata) if rewrite_nodata else None
+        )
         for target_factor in overview_levels:
             # Halve repeatedly until the cumulative decimation matches
             # the requested factor. Validation has already established
@@ -490,14 +513,10 @@ def _gpu_compress_to_part(gpu_arr, w, h, spp):
                 current = make_overview_gpu(current, method=overview_resampling,
                                             nodata=nodata)
                 cumulative_factor *= 2
-                if (nodata is not None
-                        and np.dtype(str(current.dtype)).kind == 'f'
-                        and not np.isnan(float(nodata))):
+                if rewrite_nodata:
                     nan_mask = cupy.isnan(current)
                     if bool(nan_mask.any().item()):
-                        current = current.copy()
-                        current[nan_mask] = np.dtype(
-                            str(current.dtype)).type(nodata)
+                        cupy.putmask(current, nan_mask, sentinel_scalar)
             oh, ow = current.shape[:2]
             parts.append(_gpu_compress_to_part(current, ow, oh, samples))
 

xrspatial/geotiff/tests/test_gpu_writer_overview_inplace_1948.py

@@ -0,0 +1,188 @@
+"""Regression tests for issue #1948.
+
+The COG overview generation loop inside ``write_geotiff_gpu`` used to
+replace the in-place NaN-to-sentinel rewrite with
+``current = current.copy(); current[nan_mask] = sentinel``. Every call
+to ``make_overview_gpu`` returns a freshly allocated cupy buffer
+(``_block_reduce_2d_gpu`` ends in ``cupy.nan*`` / ``cupy.around(...).astype(...)`` /
+``cropped[::2, ::2].copy()``, the 3-D path ends in ``cupy.stack``), so
+nothing else aliases the buffer between the return and the rewrite. The
+``.copy()`` allocated a second chunk-sized GPU buffer per overview
+level for no semantic gain.
+
+The fix swaps the rewrite to ``cupy.putmask(current, nan_mask, sentinel)``
+which mutates the existing buffer in place. This drops one chunk-sized
+device allocation per overview level and mirrors the in-place sentinel
+rewrite ``_apply_nodata_mask_gpu`` adopted in #1934.
+
+Two guards here:
+
+1. Correctness -- a COG write with a sentinel-bearing float raster
+   round-trips through the GPU writer and back to the CPU reader with
+   the sentinel preserved in every overview level.
+2. Structural -- the writer source uses ``cupy.putmask`` and no longer
+   carries the redundant ``current = current.copy()`` line in the
+   overview loop.
+"""
+from __future__ import annotations
+
+import os
+import tempfile
+
+import numpy as np
+import xarray as xr
+
+from xrspatial.geotiff.tests.conftest import requires_gpu as _gpu_only
+
+
+def _make_float_raster_with_nodata(height: int, width: int, sentinel: float):
+    """Build a float32 raster whose sentinel pixels would poison overviews.
+
+    Reserve a contiguous all-sentinel sub-rectangle so that every 2x
+    decimation step still contains at least one fully-sentinel 2x2
+    block. ``_block_reduce_2d_gpu`` masks the sentinel back to NaN
+    before reducing, so a partially-sentinel block returns a valid mean
+    and the overview pixel never becomes NaN; only a fully-sentinel
+    block triggers the NaN->sentinel rewrite branch the fix touches.
+    """
+    import cupy
+
+    arr = np.random.RandomState(1948).rand(height, width).astype(np.float32)
+    # Bottom-right quadrant becomes all-sentinel so every 2x reduction
+    # of that region stays all-sentinel and the NaN rewrite branch
+    # fires at every overview level.
+    arr[height // 2:, width // 2:] = sentinel
+    return cupy.asarray(arr)
+
+
+def test_gpu_writer_overview_loop_uses_putmask_1948():
+    """Source-level guard against the redundant ``current.copy()``.
+
+    The fix replaces the ``current = current.copy(); current[nan_mask] = ...``
+    pair with ``cupy.putmask(current, nan_mask, ...)`` so the buffer
+    ``make_overview_gpu`` returned is mutated in place. This guard
+    fires if anyone reintroduces the redundant copy.
+    """
+    import pathlib
+
+    src_path = pathlib.Path(__file__).parent.parent / "_writers" / "gpu.py"
+    src = src_path.read_text()
+    # The overview loop should call cupy.putmask, not current.copy() + indexed write.
+    assert "cupy.putmask(" in src, (
+        "write_geotiff_gpu overview loop should use cupy.putmask "
+        "for the in-place NaN->sentinel rewrite (issue #1948)."
+    )
+    # Confirm the in-place pattern is the one inside the overview branch,
+    # not somewhere unrelated. The pattern's location follows the
+    # ``make_overview_gpu`` call and the ``nan_mask = cupy.isnan(current)``
+    # gate; assert the order is preserved.
+    idx_overview = src.find("make_overview_gpu(current")
+    idx_putmask = src.find("cupy.putmask(", idx_overview)
+    assert idx_overview != -1 and idx_putmask != -1, (
+        "could not locate the overview-loop in-place rewrite"
+    )
+    # The legacy two-line pattern would have ``current = current.copy()``
+    # right before the indexed write. Ensure the overview branch no
+    # longer contains that exact line. Anchor the slice on the next
+    # statement after the inner ``while`` (``parts.append(...)``) so
+    # the window tracks the real loop body instead of a fixed
+    # character count that drifts as surrounding code changes.
+    idx_parts_append = src.find("parts.append(", idx_overview)
+    assert idx_parts_append != -1, (
+        "could not locate the ``parts.append(`` sentinel that closes "
+        "the overview-loop body"
+    )
+    overview_branch = src[idx_overview:idx_parts_append]
+    assert "current = current.copy()" not in overview_branch, (
+        "overview loop should no longer copy the cupy buffer before "
+        "the in-place sentinel rewrite (issue #1948)."
+    )
+
+
+@_gpu_only
+def test_gpu_writer_cog_overview_sentinel_roundtrip_1948():
+    """COG write -> CPU read preserves the sentinel through every overview.
+
+    Regression check on the correctness of the in-place rewrite. If
+    ``cupy.putmask`` ever drifts away from the ``current.copy()`` +
+    indexed-write semantics (e.g. broadcasts the sentinel as the wrong
+    dtype) the round-trip would surface NaN where the sentinel should
+    be, breaking external-reader masking. The test is gated on a GPU
+    because the overview loop only runs on the GPU writer code path.
+    """
+    from xrspatial.geotiff import open_geotiff, write_geotiff_gpu
+
+    sentinel = np.float32(-9999.0)
+    height, width = 1024, 1024
+    arr_gpu = _make_float_raster_with_nodata(height, width, float(sentinel))
+
+    da = xr.DataArray(
+        arr_gpu, dims=["y", "x"],
+        coords={"y": np.arange(height), "x": np.arange(width)},
+        attrs={"crs": 4326, "nodata": float(sentinel)},
+    )
+
+    with tempfile.TemporaryDirectory() as td:
+        path = os.path.join(td, "tmp_1948_cog.tif")
+        write_geotiff_gpu(
+            da, path, compression="deflate", tile_size=256,
+            cog=True, overview_levels=[2, 4],
+        )
+
+        # Read full-resolution and the two overview levels.
+        full = open_geotiff(path)
+        ov1 = open_geotiff(path, overview_level=1)
+        ov2 = open_geotiff(path, overview_level=2)
+
+    # Full-resolution: sentinel pixels survive as NaN (the read path
+    # masks the sentinel back to NaN since attrs['nodata'] is set).
+    assert np.isnan(full.values).any(), (
+        "full-resolution overview lost its sentinel pixels"
+    )
+    assert ov1.shape == (height // 2, width // 2), (
+        f"overview level 1 shape {ov1.shape}, expected "
+        f"({height // 2}, {width // 2})"
+    )
+    assert ov2.shape == (height // 4, width // 4), (
+        f"overview level 2 shape {ov2.shape}, expected "
+        f"({height // 4}, {width // 4})"
+    )
+    # Each overview must still mask the sentinel. With the prior
+    # ``current.copy()`` pattern the test passed because the buffer was
+    # copied; with ``cupy.putmask`` the test still passes because the
+    # buffer is mutated in place. This guard fires only if the rewrite
+    # is dropped entirely or sentinel dtype/promotion semantics change.
+    assert np.isnan(ov1.values).any(), (
+        "overview level 1 lost its sentinel pixels after the in-place rewrite"
+    )
+    assert np.isnan(ov2.values).any(), (
+        "overview level 2 lost its sentinel pixels after the in-place rewrite"
+    )
+
+
+@_gpu_only
+def test_gpu_writer_overview_uses_make_overview_gpu_fresh_buffer_1948():
+    """``make_overview_gpu`` returns a freshly allocated cupy buffer.
+
+    The in-place rewrite contract relies on ``make_overview_gpu``
+    handing back a buffer that no caller-visible state aliases. This
+    guard exercises every overview-method path inside
+    ``_block_reduce_2d_gpu`` and confirms the returned buffer is a
+    different cupy.ndarray than the input.
+    """
+    import cupy
+
+    from xrspatial.geotiff._gpu_decode import make_overview_gpu
+
+    rng = np.random.RandomState(1948)
+    src_np = rng.rand(64, 64).astype(np.float32)
+    src_gpu = cupy.asarray(src_np)
+
+    for method in ("mean", "nearest", "min", "max", "median"):
+        out = make_overview_gpu(src_gpu, method=method, nodata=None)
+        assert int(out.data.ptr) != int(src_gpu.data.ptr), (
+            f"make_overview_gpu(method={method!r}) returned an aliased buffer"
+        )
+        assert out.shape == (32, 32), (
+            f"make_overview_gpu(method={method!r}) returned shape {out.shape}"
+        )