Further fix to python 3.11 document (#10712)
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					 2 changed files with 21 additions and 21 deletions
				
			
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					@ -93,17 +93,17 @@ If you encounter network issues when installing IPEX, you can also install IPEX-
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Download the wheels on Windows system:
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					Download the wheels on Windows system:
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```
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					```
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wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/xpu/torch-2.1.0a0%2Bcxx11.abi-cp39-cp39-win_amd64.whl
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					wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/xpu/torch-2.1.0a0%2Bcxx11.abi-cp311-cp311-win_amd64.whl
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wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/xpu/torchvision-0.16.0a0%2Bcxx11.abi-cp39-cp39-win_amd64.whl
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					wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/xpu/torchvision-0.16.0a0%2Bcxx11.abi-cp311-cp311-win_amd64.whl
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wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/xpu/intel_extension_for_pytorch-2.1.10%2Bxpu-cp39-cp39-win_amd64.whl
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					wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/xpu/intel_extension_for_pytorch-2.1.10%2Bxpu-cp311-cp311-win_amd64.whl
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```
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					```
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You may install dependencies directly from the wheel archives and then install `ipex-llm` using following commands:
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					You may install dependencies directly from the wheel archives and then install `ipex-llm` using following commands:
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```
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					```
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pip install torch-2.1.0a0+cxx11.abi-cp39-cp39-win_amd64.whl
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					pip install torch-2.1.0a0+cxx11.abi-cp311-cp311-win_amd64.whl
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pip install torchvision-0.16.0a0+cxx11.abi-cp39-cp39-win_amd64.whl
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					pip install torchvision-0.16.0a0+cxx11.abi-cp311-cp311-win_amd64.whl
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pip install intel_extension_for_pytorch-2.1.10+xpu-cp39-cp39-win_amd64.whl
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					pip install intel_extension_for_pytorch-2.1.10+xpu-cp311-cp311-win_amd64.whl
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pip install --pre --upgrade ipex-llm[xpu]
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					pip install --pre --upgrade ipex-llm[xpu]
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```
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					```
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					@ -111,7 +111,7 @@ pip install --pre --upgrade ipex-llm[xpu]
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```eval_rst
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					```eval_rst
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.. note::
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					.. note::
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   All the wheel packages mentioned here are for Python 3.11. If you would like to use Python 3.9 or 3.10, you should modify the wheel names for ``torch``, ``torchvision``, and ``intel_extension_for_pytorch`` by replacing ``cp39`` with ``cp310`` or ``cp311``, respectively.
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					   All the wheel packages mentioned here are for Python 3.11. If you would like to use Python 3.9 or 3.10, you should modify the wheel names for ``torch``, ``torchvision``, and ``intel_extension_for_pytorch`` by replacing ``cp11`` with ``cp39`` or ``cp310``, respectively.
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```
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					```
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### Runtime Configuration
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					### Runtime Configuration
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					@ -488,18 +488,18 @@ If you encounter network issues when installing IPEX, you can also install IPEX-
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      .. code-block:: bash
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					      .. code-block:: bash
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         # get the wheels on Linux system for IPEX 2.1.10+xpu
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					         # get the wheels on Linux system for IPEX 2.1.10+xpu
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         wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/xpu/torch-2.1.0a0%2Bcxx11.abi-cp39-cp39-linux_x86_64.whl
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					         wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/xpu/torch-2.1.0a0%2Bcxx11.abi-cp311-cp311-linux_x86_64.whl
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         wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/xpu/torchvision-0.16.0a0%2Bcxx11.abi-cp39-cp39-linux_x86_64.whl
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					         wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/xpu/torchvision-0.16.0a0%2Bcxx11.abi-cp311-cp311-linux_x86_64.whl
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         wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/xpu/intel_extension_for_pytorch-2.1.10%2Bxpu-cp39-cp39-linux_x86_64.whl
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					         wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/xpu/intel_extension_for_pytorch-2.1.10%2Bxpu-cp311-cp311-linux_x86_64.whl
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      Then you may install directly from the wheel archives using following commands:
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					      Then you may install directly from the wheel archives using following commands:
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      .. code-block:: bash
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					      .. code-block:: bash
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         # install the packages from the wheels
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					         # install the packages from the wheels
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         pip install torch-2.1.0a0+cxx11.abi-cp39-cp39-linux_x86_64.whl
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					         pip install torch-2.1.0a0+cxx11.abi-cp311-cp311-linux_x86_64.whl
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         pip install torchvision-0.16.0a0+cxx11.abi-cp39-cp39-linux_x86_64.whl
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					         pip install torchvision-0.16.0a0+cxx11.abi-cp311-cp311-linux_x86_64.whl
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         pip install intel_extension_for_pytorch-2.1.10+xpu-cp39-cp39-linux_x86_64.whl
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					         pip install intel_extension_for_pytorch-2.1.10+xpu-cp311-cp311-linux_x86_64.whl
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         # install ipex-llm for Intel GPU
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					         # install ipex-llm for Intel GPU
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         pip install --pre --upgrade ipex-llm[xpu]
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					         pip install --pre --upgrade ipex-llm[xpu]
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					@ -509,18 +509,18 @@ If you encounter network issues when installing IPEX, you can also install IPEX-
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      .. code-block:: bash
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					      .. code-block:: bash
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         # get the wheels on Linux system for IPEX 2.0.110+xpu
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					         # get the wheels on Linux system for IPEX 2.0.110+xpu
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         wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/xpu/torch-2.0.1a0%2Bcxx11.abi-cp39-cp39-linux_x86_64.whl
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					         wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/xpu/torch-2.0.1a0%2Bcxx11.abi-cp311-cp311-linux_x86_64.whl
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         wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/xpu/torchvision-0.15.2a0%2Bcxx11.abi-cp39-cp39-linux_x86_64.whl
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					         wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/xpu/torchvision-0.15.2a0%2Bcxx11.abi-cp311-cp311-linux_x86_64.whl
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         wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/xpu/intel_extension_for_pytorch-2.0.110%2Bxpu-cp39-cp39-linux_x86_64.whl
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					         wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/xpu/intel_extension_for_pytorch-2.0.110%2Bxpu-cp311-cp311-linux_x86_64.whl
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      Then you may install directly from the wheel archives using following commands:
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					      Then you may install directly from the wheel archives using following commands:
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      .. code-block:: bash
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					      .. code-block:: bash
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         # install the packages from the wheels
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					         # install the packages from the wheels
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         pip install torch-2.0.1a0+cxx11.abi-cp39-cp39-linux_x86_64.whl
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					         pip install torch-2.0.1a0+cxx11.abi-cp311-cp311-linux_x86_64.whl
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         pip install torchvision-0.15.2a0+cxx11.abi-cp39-cp39-linux_x86_64.whl
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					         pip install torchvision-0.15.2a0+cxx11.abi-cp311-cp311-linux_x86_64.whl
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         pip install intel_extension_for_pytorch-2.0.110+xpu-cp39-cp39-linux_x86_64.whl
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					         pip install intel_extension_for_pytorch-2.0.110+xpu-cp311-cp311-linux_x86_64.whl
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         # install ipex-llm for Intel GPU
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					         # install ipex-llm for Intel GPU
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         pip install --pre --upgrade ipex-llm[xpu_2.0]
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					         pip install --pre --upgrade ipex-llm[xpu_2.0]
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					@ -530,7 +530,7 @@ If you encounter network issues when installing IPEX, you can also install IPEX-
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```eval_rst
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					```eval_rst
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.. note::
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					.. note::
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   All the wheel packages mentioned here are for Python 3.11. If you would like to use Python 3.9 or 3.10, you should modify the wheel names for ``torch``, ``torchvision``, and ``intel_extension_for_pytorch`` by replacing ``cp39`` with ``cp310`` or ``cp311``, respectively.
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					   All the wheel packages mentioned here are for Python 3.11. If you would like to use Python 3.9 or 3.10, you should modify the wheel names for ``torch``, ``torchvision``, and ``intel_extension_for_pytorch`` by replacing ``cp11`` with ``cp39`` or ``cp310``, respectively.
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```
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					```
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### Runtime Configuration
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					### Runtime Configuration
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					@ -28,7 +28,7 @@ This guide walks you through setting up and running **Continue** within _Visual
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Visit [Run Text Generation WebUI Quickstart Guide](webui_quickstart.html), and follow the steps 1) [Install IPEX-LLM](https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Quickstart/webui_quickstart.html#install-ipex-llm), 2) [Install WebUI](https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Quickstart/webui_quickstart.html#install-the-webui) and 3) [Start the Server](https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Quickstart/webui_quickstart.html#start-the-webui-server) to install and start the Text Generation WebUI API Service. **Please pay attention to below items during installation:**
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					Visit [Run Text Generation WebUI Quickstart Guide](webui_quickstart.html), and follow the steps 1) [Install IPEX-LLM](https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Quickstart/webui_quickstart.html#install-ipex-llm), 2) [Install WebUI](https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Quickstart/webui_quickstart.html#install-the-webui) and 3) [Start the Server](https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Quickstart/webui_quickstart.html#start-the-webui-server) to install and start the Text Generation WebUI API Service. **Please pay attention to below items during installation:**
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- The Text Generation WebUI API service requires Python version 3.10 or higher. But [IPEX-LLM installation instructions](https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Quickstart/webui_quickstart.html#install-ipex-llm) used ``python=3.11`` as default for creating the conda environment. We recommend changing it to ``3.11``, using below command:
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					- The Text Generation WebUI API service requires Python version 3.10 or higher. We recommend use Python 3.11 as below:
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  ```bash
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					  ```bash
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  conda create -n llm python=3.11 libuv
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					  conda create -n llm python=3.11 libuv
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  ```
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					  ```
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