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(fix): optimize subsetting dask array #1432

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Mar 22, 2024
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9 changes: 2 additions & 7 deletions anndata/_core/index.py
Original file line number Diff line number Diff line change
Expand Up @@ -147,15 +147,10 @@ def _subset(a: np.ndarray | pd.DataFrame, subset_idx: Index):

@_subset.register(DaskArray)
def _subset_dask(a: DaskArray, subset_idx: Index):
if all(isinstance(x, cabc.Iterable) for x in subset_idx):
if len(subset_idx) > 1 and all(isinstance(x, cabc.Iterable) for x in subset_idx):
if isinstance(a._meta, csc_matrix):
return a[:, subset_idx[1]][subset_idx[0], :]
elif isinstance(a._meta, spmatrix):
return a[subset_idx[0], :][:, subset_idx[1]]
else:
# TODO: this may have been working for some cases?
subset_idx = np.ix_(*subset_idx)
return a.vindex[subset_idx]
return a[subset_idx[0], :][:, subset_idx[1]]
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@ilan-gold ilan-gold Mar 21, 2024

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dask does not support a[subset_idx] when subset_idx has more than one entry

anndata/_core/anndata.py:1506: in copy
    X=_subset(self._adata_ref.X, (self._oidx, self._vidx)).copy()
/opt/homebrew/Cellar/python@3.11/3.11.8/Frameworks/Python.framework/Versions/3.11/lib/python3.11/functools.py:909: in wrapper
    return dispatch(args[0].__class__)(*args, **kw)
anndata/_core/index.py:155: in _subset_dask
    return a[subset_idx]
venv/lib/python3.11/site-packages/dask/array/core.py:1994: in __getitem__
    dsk, chunks = slice_array(out, self.name, self.chunks, index2, self.itemsize)
venv/lib/python3.11/site-packages/dask/array/slicing.py:176: in slice_array
    dsk_out, bd_out = slice_with_newaxes(out_name, in_name, blockdims, index, itemsize)
venv/lib/python3.11/site-packages/dask/array/slicing.py:198: in slice_with_newaxes
    dsk, blockdims2 = slice_wrap_lists(out_name, in_name, blockdims, index2, itemsize)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

out_name = 'getitem-32365ec69f5d5f165e6565bb934d931b', in_name = 'array-780508e68d811416a0a1a22cb32db79f', blockdims = ((30,), (15,))
index = (array([ 0,  2,  4,  9, 11, 12, 13, 14, 16, 17, 20, 21, 22, 25, 27, 28, 29]), array([ 3,  6, 10])), itemsize = 4

    def slice_wrap_lists(out_name, in_name, blockdims, index, itemsize):
        """
        Fancy indexing along blocked array dasks

        Handles index of type list.  Calls slice_slices_and_integers for the rest

        See Also
        --------

        take : handle slicing with lists ("fancy" indexing)
        slice_slices_and_integers : handle slicing with slices and integers
        """
        assert all(isinstance(i, (slice, list, Integral)) or is_arraylike(i) for i in index)
        if not len(blockdims) == len(index):
            raise IndexError("Too many indices for array")

        # Do we have more than one list in the index?
        where_list = [
            i for i, ind in enumerate(index) if is_arraylike(ind) and ind.ndim > 0
        ]
        if len(where_list) > 1:
>           raise NotImplementedError("Don't yet support nd fancy indexing")
E           NotImplementedError: Don't yet support nd fancy indexing

venv/lib/python3.11/site-packages/dask/array/slicing.py:244: NotImplementedError

return a[subset_idx]


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2 changes: 2 additions & 0 deletions docs/release-notes/0.10.7.md
Original file line number Diff line number Diff line change
Expand Up @@ -10,3 +10,5 @@

```{rubric} Performance
```

* Remove `vindex` for subsetting `dask.array.Array` because of its slowness and memory consumption {user} `ilan-gold` {pr}`1432`
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