| Name | hyray JSON |
| Version |
0.1.0
JSON |
| download |
| home_page | |
| Summary | GPU arrays (via CuPy) when possible, otherwise CPU arrays (via NumPy) |
| upload_time | 2023-07-19 22:52:56 |
| maintainer | |
| docs_url | None |
| author | Christopher Ariza |
| requires_python | >=3.8 |
| license | MIT |
| keywords |
numpy
cupy
hybrid
array
cuda
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# HyRay
### `GPU ? CuPy : NumPy`
GPU arrays (via CuPy) when possible, otherwise CPU arrays (via NumPy)
The `hyray` library provides a single interface to use both NumPy and CuPy, depending on the availability of CuPy, CUDA, or sufficient memory. With `hyray` a single implementation can run with CuPy when CuPy is available (on a local machine with a GPU), and still work with NumPy when on GPU or insufficient memory is available (such as on continuous integration servers).
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