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-devel-cpu-tbb 2023.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| onednn_devel_cpu_tbb-2023.2.0-py2.py3-none-win_amd64.whl | Python 2, Python 3 | none | Windows x86-64 | Details |
| onednn_devel_cpu_tbb-2023.2.0-py2.py3-none-manylinux1_x86_64.whl | Python 3, Python 2 | none | Linux glibc 2.5+ x86-64 | Details |
| onednn_devel_cpu_tbb-2023.2.0-py2.py3-none-macosx_10_15_x86_64.macosx_11_0_x86_64.whl | Python 3, Python 2 | none | macOS 10.15+ x86-64, macOS 11.0+ x86-64 | Details |
Total release size: 585.2 kB
Release files / onednn_devel_cpu_tbb-2023.2.0-py2.py3-none-win_amd64.whl
| Download URL | onednn_devel_cpu_tbb-2023.2.0-py2.py3-none-win_amd64.whl |
|---|---|
| Size | 204.9 kB |
| Tags | Python 2 Python 3 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
63fa49ba2f2fffa95900f6fa2ffc56edf96e947e3c58b0066a56b285fb3a8158
|
|
BLAKE2b-256 checksum How to use checksums |
1a52d844fce9047d2b3479b05ae5129aa2527b9a93278884f22d79aa9dd88712
|
| 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_devel_cpu_tbb-2023.2.0-py2.py3-none-manylinux1_x86_64.whl
| Download URL | onednn_devel_cpu_tbb-2023.2.0-py2.py3-none-manylinux1_x86_64.whl |
|---|---|
| Size | 190.4 kB |
| Tags | Linux glibc 2.5+ x86-64 Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
d76b9ddf0ac717b5c5caa89e9922ec752d175e6f0492503f3baa8499607bec82
|
|
BLAKE2b-256 checksum How to use checksums |
952bb7247770cbf6f4f8ff32728fb13b20c553df4bff54b9ded98c99c3466a55
|
| 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_devel_cpu_tbb-2023.2.0-py2.py3-none-macosx_10_15_x86_64.macosx_11_0_x86_64.whl
| Download URL | onednn_devel_cpu_tbb-2023.2.0-py2.py3-none-macosx_10_15_x86_64.macosx_11_0_x86_64.whl |
|---|---|
| Size | 189.8 kB |
| Tags | Python 2 Python 3 macOS 10.15+ x86-64 macOS 11.0+ x86-64 |
|
SHA-256 checksum How to use checksums |
dab0ef2bd7073bfd02e0d51fdf5ef03b43370c06446f84a2d5cfb6cd3f0a4dce
|
|
BLAKE2b-256 checksum How to use checksums |
b8f85d2a28efcd68772cf147f89660a9ab46770f64d3c0c65396ae02d4dcaf27
|
| 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
|