[!IMPORTANT] ⚠️ This project is looking for maintainers and contributors. Come help out!
Interface for using cupy in xarray, providing convenience accessors.
From anaconda:
conda install cupy-xarray -c conda-forge
From PyPI:
pip install cupy-xarray
The latest version from Github:
pip install git+https://github.com/xarray-contrib/cupy-xarray.git
import xarray as xr
import cupy_xarray # This registers the `DataSet.cupy` and `DataArray.cupy` namespaces but is not used directly
ds = xr.tutorial.load_dataset("air_temperature.nc")
type(ds.air.data) # numpy.ndarray
%timeit ds.air.mean() # 8.56 ms ± 15.6 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)
ds = ds.cupy.as_cupy() # Also available via convenience method ds.as_cupy()
type(ds.air.data) # cupy.core.core.ndarray
%timeit ds.air.mean() # 2.14 ms ± 21.4 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)
ds = ds.as_numpy()
type(ds.air.data) # numpy.ndarray