e178692c2c
* support 3.10 * fix version of onnxruntime-extensions * upgrade ray * fix from collections.abc import Iterable * upgrade onnxruntime-extensions to 0.7.0
105 lines
No EOL
4.5 KiB
Markdown
105 lines
No EOL
4.5 KiB
Markdown
# Nano Installation
|
|
|
|
You can select bigdl-nano along with some dependencies specific to PyTorch or Tensorflow using the following panel.
|
|
|
|
```eval_rst
|
|
.. raw:: html
|
|
|
|
<link rel="stylesheet" type="text/css" href="../../../_static/css/installation_panel.css" />
|
|
|
|
<div class="installation-panel-wrapper">
|
|
<table class="installation-panel-table">
|
|
<tbody>
|
|
<tr>
|
|
<td colspan="1">FrameWork</td>
|
|
<td colspan="2"><button id="pytorch" class="install_option_button">PyTorch</button></td>
|
|
<td colspan="2"><button id="tensorflow" class="install_option_button">TensorFlow</button></td>
|
|
</tr>
|
|
<tr id="version">
|
|
<td colspan="1">Version</td>
|
|
<td colspan="1"><button id="pytorch_113" class="install_option_button">1.13</button></td>
|
|
<td colspan="1"><button id="pytorch_112" class="install_option_button">1.12</button></td>
|
|
<td colspan="1"><button id="pytorch_111" class="install_option_button">1.11</button></td>
|
|
<td colspan="1"><button id="pytorch_110" class="install_option_button">1.10</button></td>
|
|
</tr>
|
|
<tr>
|
|
<td colspan="1">Inference Opt</td>
|
|
<td colspan="2"><button id="inference_yes" class="install_option_button">Yes</button></td>
|
|
<td colspan="2"><button id="inference_no" class="install_option_button">No</button></td>
|
|
</tr>
|
|
<tr>
|
|
<td colspan="1">Release</td>
|
|
<td colspan="2"><button id="nightly" class="install_option_button">Nightly</button></td>
|
|
<td colspan="2"><button id="stable" class="install_option_button">Stable</button></td>
|
|
</tr>
|
|
<tr>
|
|
<td colspan="1">Install CMD</td>
|
|
<td colspan="4" id="cmd">NA</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</div>
|
|
|
|
<script src="../../../_static/js/nano_installation_panel.js"></script>
|
|
```
|
|
|
|
```eval_rst
|
|
.. 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.
|
|
|
|
For stable version, please refer to the document and installation guide `here <https://bigdl.readthedocs.io/en/v2.2.0/doc/Nano/Overview/install.html>`_ .
|
|
```
|
|
|
|
## Environment Management
|
|
### Install in conda environment (Recommended)
|
|
|
|
```bash
|
|
conda create -n env
|
|
conda activate env
|
|
|
|
# select your preference in above panel to find the proper command to replace the below command, e.g.
|
|
pip install --pre --upgrade bigdl-nano[pytorch]
|
|
|
|
# after installing bigdl-nano, you can run the following command to setup a few environment variables.
|
|
source bigdl-nano-init
|
|
```
|
|
|
|
The `bigdl-nano-init` scripts will export a few environment variable according to your hardware to maximize performance.
|
|
|
|
In a conda environment, when you run `source bigdl-nano-init` manually, this command will also be added to `$CONDA_PREFIX/etc/conda/activate.d/`, which will automaticly run when you activate your current environment.
|
|
|
|
|
|
### Install in pure pip environment
|
|
|
|
In a pure pip environment, you need to run `source bigdl-nano-init` every time you open a new shell to get optimal performance and run `source bigdl-nano-unset-env` if you want to unset these environment variables.
|
|
|
|
## Other PyTorch/Tensorflow Version Support
|
|
We support a wide range of PyTorch and Tensorflow. We only care the MAJOR.MINOR in [Semantic Versioning](https://semver.org/). If you have a specific PyTorch/Tensorflow version want to use, e.g. PyTorch 1.11.0+cpu, you may select corresponding MAJOR.MINOR (i.e., PyTorch 1.11 in this case) and install PyTorch again after installing nano.
|
|
|
|
## Python Version
|
|
`bigdl-nano` is validated on Python 3.8-3.10.
|
|
|
|
|
|
## Operating System
|
|
Some specific note should be awared of when installing `bigdl-nano`.`
|
|
|
|
### Install on Linux
|
|
For Linux, Ubuntu (22.04/20.04) is recommended.
|
|
|
|
### Install on Windows (experimental support)
|
|
|
|
For Windows OS, users could only run `bigdl-nano-init` every time they open a new cmd terminal.
|
|
|
|
We recommend using Windows Subsystem for Linux 2 (WSL2) to run BigDL-Nano. Please refer to [Nano Windows install guide](../Howto/Install/windows_guide.md) for instructions.
|
|
|
|
### Install on MacOS (experimental support)
|
|
#### MacOS with Intel Chip
|
|
Same usage as Linux, while some of the funcions now rely on lower version dependencies.
|
|
|
|
#### MacOS with M-series chip
|
|
Currently, only tensorflow is supported for M-series chip Mac.
|
|
```bash
|
|
# any way to install tensorflow on macos
|
|
|
|
pip install --pre --upgrade bigdl-nano[tensorflow]
|
|
``` |