onednn-cpu-iomp 2022.2.1
pip install onednn-cpu-iomp==2022.2.1
Released:
Intel® oneAPI Deep Neural Network Library
Navigation
Verified details
These details have been verified by PyPIMaintainers
IntelAutomationEngineering
sat-bot
Unverified details
These details have not been verified by PyPIProject links
Meta
- License: Other/Proprietary License (Apache-2.0)
- Author: Intel Corporation
Classifiers
- Development Status
- Intended Audience
- License
- Operating System
- Topic
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.
Project details
Verified details
These details have been verified by PyPIMaintainers
IntelAutomationEngineering
sat-bot
Unverified details
These details have not been verified by PyPIProject links
Meta
- License: Other/Proprietary License (Apache-2.0)
- Author: Intel Corporation
Classifiers
- Development Status
- Intended Audience
- License
- Operating System
- Topic
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
Uploaded
Python 2
Python 3
Windows x86-64
Uploaded
Python 2
Python 3
Uploaded
Python 2
Python 3
macOS 10.15+ x86-64
macOS 11.0+ x86-64
File details
Details for the file onednn_cpu_iomp-2022.2.1-py2.py3-none-win_amd64.whl.
File metadata
- Download URL: onednn_cpu_iomp-2022.2.1-py2.py3-none-win_amd64.whl
- Upload date:
- Size: 7.2 MB
- Tags: Python 2, Python 3, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 145c0a3193c8e79e99b2864b60a9fb6cad9a1965595602e5120ecf6503c6e088 |
|
| MD5 | 3eaae9213af41dd7793a03c893346416 |
|
| BLAKE2b-256 | c8fc318de4a5a96333d92ec857b8312cef5dcc5514595777b481ca9afe277314 |
File details
Details for the file onednn_cpu_iomp-2022.2.1-py2.py3-none-manylinux1_x86_64.whl.
File metadata
- Download URL: onednn_cpu_iomp-2022.2.1-py2.py3-none-manylinux1_x86_64.whl
- Upload date:
- Size: 26.7 MB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 6d4069ad3fd9b61a630b97d3d002f2647a3189833d1972744f8cd3d24cb93b20 |
|
| MD5 | a1ce6376031e6550a25bfd75641f9fc8 |
|
| BLAKE2b-256 | ad3649c8e9be0123aabc6427645f8471bef0b43f3a3fecde735d83b4d0f61ae2 |
File details
Details for the file onednn_cpu_iomp-2022.2.1-py2.py3-none-macosx_10_15_x86_64.macosx_11_0_x86_64.whl.
File metadata
- Download URL: onednn_cpu_iomp-2022.2.1-py2.py3-none-macosx_10_15_x86_64.macosx_11_0_x86_64.whl
- Upload date:
- Size: 68.4 MB
- Tags: Python 2, Python 3, macOS 10.15+ x86-64, macOS 11.0+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 135b5b9700c6ffd80c32006f7ee131530f48eaf3e3b7a62939c5c69829973d07 |
|
| MD5 | bd36059b7ad12013597e98de6bff9b5e |
|
| BLAKE2b-256 | 78a036df870e146175e3fa028a1f14cd48877fba4e48c651b2a0b710c421c2ab |
