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
Release files for onednn-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_cpu_tbb-2023.2.0-py2.py3-none-win_amd64.whl | Python 3, Python 2 | none | Windows x86-64 | Details |
| onednn_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_cpu_tbb-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: 158.7 MB
Release files / onednn_cpu_tbb-2023.2.0-py2.py3-none-win_amd64.whl
| Download URL | onednn_cpu_tbb-2023.2.0-py2.py3-none-win_amd64.whl |
|---|---|
| Size | 10.2 MB |
| Tags | Python 2 Python 3 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
2d60deb6cbb287af3b94e25a2d00221a806269625cf2671a177bce3498868a36
|
|
BLAKE2b-256 checksum How to use checksums |
df87c672b0cdb58582741415679b680464774288ecd70cc8a3e28867b0e07b6a
|
| 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_tbb-2023.2.0-py2.py3-none-manylinux1_x86_64.whl
| Download URL | onednn_cpu_tbb-2023.2.0-py2.py3-none-manylinux1_x86_64.whl |
|---|---|
| Size | 43.2 MB |
| Tags | Linux glibc 2.5+ x86-64 Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
3265b317e9d74ee42f3b7fe4ba0e6d8347a400f0e9c1531fa80b0bfa18d76b13
|
|
BLAKE2b-256 checksum How to use checksums |
24d6843cb0bfba44a447807966dd607909bbd402216b59c76b9151695f308a0f
|
| 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_tbb-2023.2.0-py2.py3-none-macosx_10_15_x86_64.macosx_11_0_x86_64.whl
| Download URL | onednn_cpu_tbb-2023.2.0-py2.py3-none-macosx_10_15_x86_64.macosx_11_0_x86_64.whl |
|---|---|
| Size | 105.3 MB |
| Tags | Python 2 Python 3 macOS 10.15+ x86-64 macOS 11.0+ x86-64 |
|
SHA-256 checksum How to use checksums |
0ff0fb124108499383e9800560d02fb0b1a36f8d33cbd1ee7e186741b42bbaab
|
|
BLAKE2b-256 checksum How to use checksums |
1ff02271223805694127dea4e8e383d67ce6295950d29a9e72b9d8d5d77a4b1f
|
| 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
|
