ibm-zdnn-plugin


Nameibm-zdnn-plugin JSON
Version 1.1.0 PyPI version JSON
download
home_pagehttps://github.com/IBM/ibm-zdnn-plugin
SummaryAccelerate inferencing on IBM z16 with the ibm-zdnn-plugin
upload_time2023-02-08 19:54:45
maintainer
docs_urlNone
authorIBM
requires_python
licenseInternational License Agreement for Non-Warranted Programs (ILAN)
keywords tensorflow tensor machine learning plugin ibmz s390x
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # ibm-zdnn-plugin

The ibm-zdnn-plugin is a device plugin for TensorFlow ([PluggableDevice](https://blog.tensorflow.org/2021/06/pluggabledevice-device-plugins-for-TensorFlow.html)) that leverages the [IBM z Deep Neural Network](https://github.com/IBM/zDNN) (zDNN) library for accelerated inferencing. The zDNN library contains a set of primitives that support Deep Neural Networks. These primitives transparently target the IBM Integrated Accelerator for AI on IBM z16™ hardware.

## Documentation

Documentation for the ibm-zdnn-plugin can be found [here](https://github.com/IBM/ibm-zdnn-plugin).

## Licenses and Trademarks

- This library is distributed under the [International License Agreement for Non-Warranted
Programs](https://www14.software.ibm.com/cgi-bin/weblap/lap.pl?li_formnum=L-AJCQ-M4PQKX).
- The registered trademark Linux® is used pursuant to a sublicense from the Linux Foundation, the exclusive licensee of Linus Torvalds, owner of the mark on a worldwide basis.
- TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.
- Additional license and notice files are within the `licenses-and-notices` directory of the the GitHub repository found [here](https://github.com/IBM/ibm-zdnn-plugin).

## Disclaimer

IBM's statements regarding its plans, directions and intent are subject to change or withdrawal without notice at IBM's sole discretion. Information regarding potential future products is intended to outline our general product direction and it should not be relied on in making a purchasing decision. The information mentioned regarding potential future products is not a commitment, promise, or legal obligation to deliver any material, code or functionality. Information about potential future products may not be incorporated into any contract. The development, release, and timing of any future features or functionality described for our products remains at our sole discretion.




            

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    "description": "# ibm-zdnn-plugin\n\nThe ibm-zdnn-plugin is a device plugin for TensorFlow ([PluggableDevice](https://blog.tensorflow.org/2021/06/pluggabledevice-device-plugins-for-TensorFlow.html)) that leverages the [IBM z Deep Neural Network](https://github.com/IBM/zDNN) (zDNN) library for accelerated inferencing. The zDNN library contains a set of primitives that support Deep Neural Networks. These primitives transparently target the IBM Integrated Accelerator for AI on IBM z16\u2122 hardware.\n\n## Documentation\n\nDocumentation for the ibm-zdnn-plugin can be found [here](https://github.com/IBM/ibm-zdnn-plugin).\n\n## Licenses and Trademarks\n\n- This library is distributed under the [International License Agreement for Non-Warranted\nPrograms](https://www14.software.ibm.com/cgi-bin/weblap/lap.pl?li_formnum=L-AJCQ-M4PQKX).\n- The registered trademark Linux\u00ae is used pursuant to a sublicense from the Linux Foundation, the exclusive licensee of Linus Torvalds, owner of the mark on a worldwide basis.\n- TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.\n- Additional license and notice files are within the `licenses-and-notices` directory of the the GitHub repository found [here](https://github.com/IBM/ibm-zdnn-plugin).\n\n## Disclaimer\n\nIBM's statements regarding its plans, directions and intent are subject to change or withdrawal without notice at IBM's sole discretion. Information regarding potential future products is intended to outline our general product direction and it should not be relied on in making a purchasing decision. The information mentioned regarding potential future products is not a commitment, promise, or legal obligation to deliver any material, code or functionality. Information about potential future products may not be incorporated into any contract. The development, release, and timing of any future features or functionality described for our products remains at our sole discretion.\n\n\n\n",
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