Skip to main content

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 files for onednn-cpu-iomp 2023.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for onednn-cpu-iomp 2023.2.0
File Interpreter ABI Platform
onednn_cpu_iomp-2023.2.0-py2.py3-none-win_amd64.whl Python 2, Python 3 none Windows x86-64 Details
onednn_cpu_iomp-2023.2.0-py2.py3-none-manylinux1_x86_64.whl Python 3, Python 2 none Linux glibc 2.5+ x86-64 Details
onednn_cpu_iomp-2023.2.0-py2.py3-none-macosx_10_15_x86_64.macosx_11_0_x86_64.whl Python 2, Python 3 none macOS 10.15+ x86-64, macOS 11.0+ x86-64 Details

Total release size: 159.4 MB

Release files / onednn_cpu_iomp-2023.2.0-py2.py3-none-win_amd64.whl

Download URL onednn_cpu_iomp-2023.2.0-py2.py3-none-win_amd64.whl
Size 10.1 MB
Tags Python 2 Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
df6fb7dce84f531fa90dedf7d68d3621be5d34874c1cf30e189c92b66beae482
BLAKE2b-256 checksum
How to use checksums
82e1d1857ee27cee913f2605002c9bf1f161750551802906cff0f8d76c188d97
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

Release files / onednn_cpu_iomp-2023.2.0-py2.py3-none-manylinux1_x86_64.whl

Download URL onednn_cpu_iomp-2023.2.0-py2.py3-none-manylinux1_x86_64.whl
Size 42.9 MB
Tags Linux glibc 2.5+ x86-64 Python 2 Python 3
SHA-256 checksum
How to use checksums
7c53517b801ee09254d3cf267786cdd5748fbd7e85123e840801255c5eac56b8
BLAKE2b-256 checksum
How to use checksums
57ae462a5536dda8991f1d6ef0c01346f626d2c3ce8464245c4244a23b35b38a
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

Release files / onednn_cpu_iomp-2023.2.0-py2.py3-none-macosx_10_15_x86_64.macosx_11_0_x86_64.whl

Download URL onednn_cpu_iomp-2023.2.0-py2.py3-none-macosx_10_15_x86_64.macosx_11_0_x86_64.whl
Size 106.4 MB
Tags Python 2 Python 3 macOS 10.15+ x86-64 macOS 11.0+ x86-64
SHA-256 checksum
How to use checksums
5bdeb528bde0c0ee7c265944ace6903ba37295f31b03d8169568b78a76ea1120
BLAKE2b-256 checksum
How to use checksums
498d7019be01cbb9c4fb51636b2ededee45fbb80168aa41a5954bf78c6d01c21
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
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page