The Intel® oneAPI Deep Neural Network Library(oneDNN) is a performance library for deep learning applications. The library includes basic building blocks for neural networks optimized for Intel® Architecture Processors and Intel® Processor Graphics. oneDNN is intended for deep learning applications and framework developers interested in improving application performance on Intel CPUs and GPUs. oneDNN provides a SYCL* extensions API for CPU and GPU.
2 maintainers
Metadata
2 maintainers
Release files for onednn-devel-cpu-vcomp 2023.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| onednn_devel_cpu_vcomp-2023.2.0-py2.py3-none-win_amd64.whl | Python 3, Python 2 | none | Windows x86-64 | Details for onednn_devel_cpu_vcomp-2023.2.0-py2.py3-none-win_amd64.whl |
Release files / onednn_devel_cpu_vcomp-2023.2.0-py2.py3-none-win_amd64.whl
| Download URL | onednn_devel_cpu_vcomp-2023.2.0-py2.py3-none-win_amd64.whl |
|---|---|
| Size | 202.8 kB |
| Tags | Python 2 Python 3 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
89aaa13809d739c99e23ed8a79da1f0384f2ab2aff07878f1410722f4a2a029e
|
|
BLAKE2b-256 checksum How to use checksums |
f12ae263b900820c7cc32b22fdd1a7a9d11a18379fd4845edf36853409f645ae
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 colorama/0.4.4 importlib-metadata/4.6.4 keyring/23.5.0 pkginfo/1.8.2 readme-renderer/34.0 requests-toolbelt/0.9.1 requests/2.31.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.6
|
Security for onednn-devel-cpu-vcomp 2023.2.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
