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Nano: add partial m-series chip support for tensorflow (training and installation) (#6520)

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* add m1 chip support

* fix setup
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Junwei Deng 2022-11-30 13:18:00 +08:00 committed by GitHub
parent 81a9f8147c
commit 87507ba715
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docs/readthedocs/source/doc/Nano/Overview/install.md
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@ -21,6 +21,15 @@ conda activate env
pip install --pre --upgrade bigdl-nano[tensorflow] pip install --pre --upgrade bigdl-nano[tensorflow]
``` ```
We also partially support M-series chip users with no guarantee of acceleration with same API. Currently only tensorflow is experimentally supported.
```bash
conda create -n env python=3.8
conda activate env
conda install -c apple tensorflow-deps
pip install --pre --upgrade bigdl-nano[tensorflow]
```
```eval_rst ```eval_rst
.. note:: .. note::
Since bigdl-nano is still in the process of rapid iteration, we highly recommend that you install nightly build version through the above command to facilitate your use of the latest features. Since bigdl-nano is still in the process of rapid iteration, we highly recommend that you install nightly build version through the above command to facilitate your use of the latest features.