Intel® oneAPI Deep Neural Network Library
Project description
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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distributions
File details
Details for the file onednn_cpu_dpcpp_gpu_dpcpp-2023.2.0-py2.py3-none-win_amd64.whl.
File metadata
- Download URL: onednn_cpu_dpcpp_gpu_dpcpp-2023.2.0-py2.py3-none-win_amd64.whl
- Upload date:
- Size: 15.6 MB
- Tags: Python 2, Python 3, Windows x86-64
- Uploaded using 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
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | e7a83dcdfe7fbcf0d434529a2dac21d0bcb41459e2dcc9f740841167335fbdf6 |
|
| MD5 | c5ae5704804f04868016437653dfd205 |
|
| BLAKE2b-256 | 7555ecdff47da1c2c5df5656683e88e8a3bc195cdb2f027d382cdaadf034d1bd |
File details
Details for the file onednn_cpu_dpcpp_gpu_dpcpp-2023.2.0-py2.py3-none-manylinux1_x86_64.whl.
File metadata
- Download URL: onednn_cpu_dpcpp_gpu_dpcpp-2023.2.0-py2.py3-none-manylinux1_x86_64.whl
- Upload date:
- Size: 64.5 MB
- Tags: Python 2, Python 3
- Uploaded using 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
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 1ddcb87dd8bc103a286643a2c0da0a78d1c5259aa14b78e02c8c6f2e2d5c07b4 |
|
| MD5 | 99c576a7b0f6086138533ccf52cf10fe |
|
| BLAKE2b-256 | ba3cf6f5654d7f99d32939c291292f2247c3df091d86e29eabbca8e09806344d |
