zenTF : A TensorFlow extension for AMD EPYC CPUs.
Project description
The latest ZenDNN Plugin for TensorFlow* (zentf) 5.0.1 is here!
This powerful upgrade continues to redefine deep learning performance on AMD EPYC™ CPUs, combining relentless optimization, innovative features, and industry-leading support for modern workloads.
zentf 5.0.1 includes enhancements for bfloat16 performance, primarily by leveraging microkernels and operators from the ZenDNN 5.0.1 library. These operators are designed to better leverage the EPYC microarchitecture and cache hierarchy.
The zentf 5.0.1 plugin works seamlessly with TensorFlow versions from the latest 2.18 to 2.16, offering a high-performance experience for deep learning on AMD EPYC™ platforms.
Support
We welcome feedback, suggestions, and bug reports. Should you have any of the these, please kindly file an issue on the ZenDNN Plugin for TensorFlow Github page: https://github.com/amd/ZenDNN-tensorflow-plugin/issues
License
AMD copyrighted code in ZenDNN is subject to the Apache-2.0, MIT, or BSD-3-Clause licenses; consult the source code file headers for the applicable license. Third party copyrighted code in ZenDNN is subject to the licenses set forth in the source code file headers of such code.
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file zentf-5.0.1-cp312-cp312-manylinux_2_28_x86_64.whl.
File metadata
- Download URL: zentf-5.0.1-cp312-cp312-manylinux_2_28_x86_64.whl
- Upload date:
- Size: 17.7 MB
- Tags: CPython 3.12, manylinux: glibc 2.28+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
88116f572e39fe9978697e627a07ff39c8662c9141a12dfbf000a66f7511048f
|
|
| MD5 |
9c93902f74915a73c96d79f1afa66e33
|
|
| BLAKE2b-256 |
b57526653476d1ff92a2b3cc25de5a8fe40f43e8a2a0edf749b2516de89636cd
|
File details
Details for the file zentf-5.0.1-cp311-cp311-manylinux_2_28_x86_64.whl.
File metadata
- Download URL: zentf-5.0.1-cp311-cp311-manylinux_2_28_x86_64.whl
- Upload date:
- Size: 17.7 MB
- Tags: CPython 3.11, manylinux: glibc 2.28+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2deea4627496a5414f1383b6a7f7c571b84954a0a42c932c0adc15781c38f740
|
|
| MD5 |
596a4749e898db0eaadd9c523efbcd37
|
|
| BLAKE2b-256 |
1fde7c4f589b4c272e7296881e4c1ed6f28bc6d7e684fa799eec762823661580
|
File details
Details for the file zentf-5.0.1-cp310-cp310-manylinux_2_28_x86_64.whl.
File metadata
- Download URL: zentf-5.0.1-cp310-cp310-manylinux_2_28_x86_64.whl
- Upload date:
- Size: 17.7 MB
- Tags: CPython 3.10, manylinux: glibc 2.28+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fd16e80a920b6448d8249deb75e94d4158f285350c53899f7fe1500f3e87f896
|
|
| MD5 |
a532c5aadde57bfde2781971338331ba
|
|
| BLAKE2b-256 |
b6ea416ff7d03f009a22e4b4826fa0160f800d87c22e51f863beb38d841d7825
|
File details
Details for the file zentf-5.0.1-cp39-cp39-manylinux_2_28_x86_64.whl.
File metadata
- Download URL: zentf-5.0.1-cp39-cp39-manylinux_2_28_x86_64.whl
- Upload date:
- Size: 17.7 MB
- Tags: CPython 3.9, manylinux: glibc 2.28+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
53dd1623fb996627bd81747aeb8310c197bd2793f9d13fb8b1b9528e27c994a5
|
|
| MD5 |
68ceba02cd65b8685d784e00d3f7d646
|
|
| BLAKE2b-256 |
785fabf885ef3ed67f951072cacf133f6201e13311590882c46c948efb2f42a6
|
