Need help with cupy?
Click the “chat” button below for chat support from the developer who created it, or find similar developers for support.

About the developer

cupy
5.4K Stars 506 Forks MIT License 23.4K Commits 363 Opened issues

Description

NumPy & SciPy for GPU

Services available

!
?

Need anything else?

Contributors list

CuPy : NumPy & SciPy for GPU

pypi Conda Version GitHub license coveralls Gitter Twitter

Website | Install | Tutorial | Examples | Documentation | API Reference | Forum

CuPy is a NumPy/SciPy-compatible array library for GPU-accelerated computing with Python. CuPy acts as a drop-in replacement to run existing NumPy/SciPy code on NVIDIA CUDA or AMD ROCm platforms.

>>> import cupy as cp
>>> x = cp.arange(6).reshape(2, 3).astype('f')
>>> x
array([[ 0.,  1.,  2.],
       [ 3.,  4.,  5.]], dtype=float32)
>>> x.sum(axis=1)
array([  3.,  12.], dtype=float32)

CuPy also provides access to low-level CUDA features. You can pass

ndarray
to existing CUDA C/C++ programs via RawKernels, use Streams for performance, or even call CUDA Runtime APIs directly.

Installation

Wheels (precompiled binary packages) are available for Linux (x86_64) and Windows (amd64). Choose the right package for your platform.

| Platform | Command | | ------------- | ----------------------------- | | CUDA 10.2 |

pip install cupy-cuda102
| | CUDA 11.0 |
pip install cupy-cuda110
| | CUDA 11.1 |
pip install cupy-cuda111
| | CUDA 11.2 |
pip install cupy-cuda112
| | CUDA 11.3 |
pip install cupy-cuda113
| | CUDA 11.4 |
pip install cupy-cuda114
| | ROCm 4.0 () |
pip install cupy-rocm-4-0
| | ROCm 4.2 (
) |
pip install cupy-rocm-4-2
| | ROCm 4.3 (*) |
pip install cupy-rocm-4-3
|

(*) ROCm support is an experimental feature. Refer to the docs for details.

Use

-f https://pip.cupy.dev/pre
option to install pre-releases (e.g.,
pip install cupy-cuda114 -f https://pip.cupy.dev/pre
). See the Installation Guide if you are using Conda/Anaconda or building from source.

Run on Docker

Use NVIDIA Container Toolkit to run CuPy image with GPU.

$ docker run --gpus all -it cupy/cupy

More information

License

MIT License (see

LICENSE
file).

CuPy is designed based on NumPy's API and SciPy's API (see

docs/LICENSE_THIRD_PARTY
file).

CuPy is being maintained and developed by Preferred Networks Inc. and community contributors.

Reference

Ryosuke Okuta, Yuya Unno, Daisuke Nishino, Shohei Hido and Crissman Loomis. CuPy: A NumPy-Compatible Library for NVIDIA GPU Calculations. Proceedings of Workshop on Machine Learning Systems (LearningSys) in The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS), (2017). URL

@inproceedings{cupy_learningsys2017,
  author       = "Okuta, Ryosuke and Unno, Yuya and Nishino, Daisuke and Hido, Shohei and Loomis, Crissman",
  title        = "CuPy: A NumPy-Compatible Library for NVIDIA GPU Calculations",
  booktitle    = "Proceedings of Workshop on Machine Learning Systems (LearningSys) in The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS)",
  year         = "2017",
  url          = "http://learningsys.org/nips17/assets/papers/paper_16.pdf"
}

We use cookies. If you continue to browse the site, you agree to the use of cookies. For more information on our use of cookies please see our Privacy Policy.