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).
1 maintainer
Metadata
1 maintainer
Release files for hyray 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| hyray-0.1.0.tar.gz | 17.9 kB | Without provenance | Details for hyray-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| hyray-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for hyray-0.1.0-py3-none-any.whl |
Total release size: 35.2 kB
Release files / hyray-0.1.0.tar.gz
| Download URL | hyray-0.1.0.tar.gz |
|---|---|
| Size | 17.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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No |
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twine/4.0.2 CPython/3.9.13
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Release files / hyray-0.1.0-py3-none-any.whl
| Download URL | hyray-0.1.0-py3-none-any.whl |
|---|---|
| Size | 17.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.13
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Security for hyray 0.1.0
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