Skip to main content

Interface for using cupy in xarray, providing convenience accessors.

Project description

cupy-xarray

⚠️ This project is looking for maintainers and contributors. Come help out!

GitHub Workflow CI Status pre-commit.ci status Documentation Status

PyPI Conda-forge

NASA-80NSSC22K0345

Interface for using cupy in xarray, providing convenience accessors.

Installation

$ pip install git+https://github.com/xarray-contrib/cupy-xarray.git

Usage

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cupy-xarray-0.1.2.tar.gz (25.4 kB view hashes)

Uploaded Source

Built Distribution

cupy_xarray-0.1.2-py3-none-any.whl (8.2 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page