Remove PyTorch 2.3 support for Intel GPU (#13097)

* Remove PyTorch 2.3 installation option for GPU

* Remove xpu_lnl option in installation guides for docs

* Update BMG quickstart

* Remove PyTorch 2.3 dependencies for GPU examples

* Update the graphmode example to use stable version 2.2.0

* Fix based on comments

Author: Oscilloscope98

docs/mddocs/Overview/install_gpu.md

@@ -46,93 +46,47 @@ We recommend using [Miniforge](https://conda-forge.org/download/) to create a py
 
 The easiest ways to install `ipex-llm` is the following commands.
 
-- For **Intel Core™ Ultra Processors (Series 2) with processor number 2xxV (code name Lunar Lake)**:
+Choose either US or CN website for `extra-index-url`:
 
-   Choose either US or CN website for `extra-index-url`:
+- For **US**:
 
-   - For **US**:
-
-      ```cmd
-      conda create -n llm python=3.11 libuv
-      conda activate llm
-
-      pip install --pre --upgrade ipex-llm[xpu_lnl] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/lnl/us/
-      ```
-
-   - For **CN**:
-
-      ```cmd
-      conda create -n llm python=3.11 libuv
-      conda activate llm
-
-      pip install --pre --upgrade ipex-llm[xpu_lnl] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/lnl/cn/
-      ```
-
-- For **other Intel iGPU and dGPU**:
-
-   Choose either US or CN website for `extra-index-url`:
-
-   - For **US**:
-
-      ```cmd
-      conda create -n llm python=3.11 libuv
-      conda activate llm
+   ```cmd
+   conda create -n llm python=3.11 libuv
+   conda activate llm
 
-      pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
-      ```
+   pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
+   ```
 
-   - For **CN**:
+- For **CN**:
 
-      ```cmd
-      conda create -n llm python=3.11 libuv
-      conda activate llm
+   ```cmd
+   conda create -n llm python=3.11 libuv
+   conda activate llm
 
-      pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
-      ```
+   pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
+   ```
 
 #### Install IPEX-LLM From Wheel
 
 If you encounter network issues when installing IPEX, you can also install IPEX-LLM dependencies for Intel XPU from source archives. First you need to download and install torch/torchvision/ipex from wheels listed below before installing `ipex-llm`.
 
-- For **Intel Core™ Ultra Processors (Series 2) with processor number 2xxV (code name Lunar Lake)**:
-
-   Download the wheels on Windows system:
-
-   ```
-   wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/lnl/torch-2.3.1%2Bcxx11.abi-cp311-cp311-win_amd64.whl
-   wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/lnl/torchvision-0.18.1%2Bcxx11.abi-cp311-cp311-win_amd64.whl
-   wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/lnl/intel_extension_for_pytorch-2.3.110%2Bxpu-cp311-cp311-win_amd64.whl
-   ```
-
-   You may install dependencies directly from the wheel archives and then install `ipex-llm` using following commands:
-
-   ```
-   pip install torch-2.3.1+cxx11.abi-cp311-cp311-win_amd64.whl
-   pip install torchvision-0.18.1+cxx11.abi-cp311-cp311-win_amd64.whl
-   pip install intel_extension_for_pytorch-2.3.110+xpu-cp311-cp311-win_amd64.whl
-
-   pip install --pre --upgrade ipex-llm[xpu_lnl]
-   ```
+Download the wheels on Windows system:
 
-- For **other Intel iGPU and dGPU**:
-
-   Download the wheels on Windows system:
-
-   ```
-   wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/xpu/torch-2.1.0a0%2Bcxx11.abi-cp311-cp311-win_amd64.whl
-   wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/xpu/torchvision-0.16.0a0%2Bcxx11.abi-cp311-cp311-win_amd64.whl
-   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
-   ```
+```
+wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/xpu/torch-2.1.0a0%2Bcxx11.abi-cp311-cp311-win_amd64.whl
+wget https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/xpu/torchvision-0.16.0a0%2Bcxx11.abi-cp311-cp311-win_amd64.whl
+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
+```
 
-   You may install dependencies directly from the wheel archives and then install `ipex-llm` using following commands:
+You may install dependencies directly from the wheel archives and then install `ipex-llm` using following commands:
 
-   ```
-   pip install torch-2.1.0a0+cxx11.abi-cp311-cp311-win_amd64.whl
-   pip install torchvision-0.16.0a0+cxx11.abi-cp311-cp311-win_amd64.whl
-   pip install intel_extension_for_pytorch-2.1.10+xpu-cp311-cp311-win_amd64.whl
+```
+pip install torch-2.1.0a0+cxx11.abi-cp311-cp311-win_amd64.whl
+pip install torchvision-0.16.0a0+cxx11.abi-cp311-cp311-win_amd64.whl
+pip install intel_extension_for_pytorch-2.1.10+xpu-cp311-cp311-win_amd64.whl
 
-   pip install --pre --upgrade ipex-llm[xpu]
-   ```
+pip install --pre --upgrade ipex-llm[xpu]
+```
 
 > [!NOTE]
 > 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.
@@ -453,7 +407,7 @@ We recommend using [Miniforge](https://conda-forge.org/download/) to create a py
       > The ``xpu`` option will install IPEX-LLM with PyTorch 2.1 by default, which is equivalent to
       >
       > ```bash
-      > pip install --pre --upgrade ipex-llm[xpu_2.1] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/> xpu/us/
+      > pip install --pre --upgrade ipex-llm[xpu_2.1] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
       > ```
 
    - For **CN**:
@@ -470,7 +424,7 @@ We recommend using [Miniforge](https://conda-forge.org/download/) to create a py
       > The ``xpu`` option will install IPEX-LLM with PyTorch 2.1 by default, which is equivalent to
       >
       > ```bash
-      > pip install --pre --upgrade ipex-llm[xpu_2.1] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/> xpu/cn/
+      > pip install --pre --upgrade ipex-llm[xpu_2.1] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
       > ```
 
 - For **PyTorch 2.0** (deprecated for versions ``ipex-llm >= 2.1.0b20240511``):

docs/mddocs/Quickstart/bmg_quickstart.md

@@ -67,27 +67,18 @@ conda activate llm
 With the `llm` environment active, install the appropriate `ipex-llm` package based on your use case:
 
 #### For PyTorch and HuggingFace:
-Install the `ipex-llm[xpu-arc]` package. Choose either the US or CN website for `extra-index-url`:
+Install the `ipex-llm[xpu_2.6]` package:
 
-- For **US**:
-  ```bash
-  pip install --pre --upgrade ipex-llm[xpu-arc] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
-  ```
-
-- For **CN**:
-  ```bash
-  pip install --pre --upgrade ipex-llm[xpu-arc] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
-  ```
+```bash
+pip install --pre --upgrade ipex-llm[xpu_2.6] --extra-index-url https://download.pytorch.org/whl/xpu
+```
 
 #### For llama.cpp and Ollama:
-Install the `ipex-llm[cpp]` package.
-
-  ```bash
-  pip install --pre --upgrade ipex-llm[cpp] 
-  ```
+Install the `ipex-llm[cpp]` package:
 
-> [!NOTE]  
-> If you encounter network issues during installation, refer to the [troubleshooting guide](../Overview/install_gpu.md#install-ipex-llm-from-wheel-1) for alternative steps.
+```bash
+pip install --pre --upgrade ipex-llm[cpp] 
+```
 
 ---
 
@@ -106,7 +97,7 @@ If your driver version is lower than `32.0.101.6449/32.0.101.101.6256`, update i
 Download and install Miniforge for Windows from the [official page](https://conda-forge.org/download/). After installation, create and activate a Python environment:
 
 ```cmd
-conda create -n llm python=3.11 libuv
+conda create -n llm python=3.11
 conda activate llm
 ```
 
@@ -117,27 +108,18 @@ conda activate llm
 With the `llm` environment active, install the appropriate `ipex-llm` package based on your use case:
 
 #### For PyTorch and HuggingFace:
-Install the `ipex-llm[xpu-arc]` package. Choose either the US or CN website for `extra-index-url`:
+Install the `ipex-llm[xpu_2.6]` package:
 
-- For **US**:
-  ```cmd
-  pip install --pre --upgrade ipex-llm[xpu-arc] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
-  ```
-
-- For **CN**:
-  ```cmd
-  pip install --pre --upgrade ipex-llm[xpu-arc] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
-  ```
+```bash
+pip install --pre --upgrade ipex-llm[xpu_2.6] --extra-index-url https://download.pytorch.org/whl/xpu
+```
 
 #### For llama.cpp and Ollama:
-Install the `ipex-llm[cpp]` package. 
-
-  ```cmd
-  pip install --pre --upgrade ipex-llm[cpp] 
-  ```
+Install the `ipex-llm[cpp]` package.:
 
-> [!NOTE]  
-> If you encounter network issues while installing IPEX, refer to [this guide](../Overview/install_gpu.md#install-ipex-llm-from-wheel) for troubleshooting advice.
+```cmd
+pip install --pre --upgrade ipex-llm[cpp] 
+```
 
 ---
 
@@ -166,21 +148,24 @@ Run a Quick PyTorch Example:
    torch.Size([1, 1, 40, 40])
    ```
 
-For benchmarks and performance measurement, refer to the [Benchmark Quickstart guide](https://github.com/intel-analytics/ipex-llm/blob/main/docs/mddocs/Quickstart/benchmark_quickstart.md).
+> [!TIP]
+> Please refer to here ([Linux](./install_pytorch26_gpu.md#runtime-configurations-1) or [Windows](./install_pytorch26_gpu.md#runtime-configurations)) regarding runtime configurations for PyTorch with IPEX-LLM on B-Series GPU.
+
+For benchmarks and performance measurement, refer to the [Benchmark Quickstart guide](./benchmark_quickstart.md).
 
 ---
 
 ### 3.2 Ollama
 
-To integrate and run with **Ollama**, follow the [Ollama Quickstart guide](https://github.com/intel-analytics/ipex-llm/blob/main/docs/mddocs/Quickstart/ollama_quickstart.md).
+To integrate and run with **Ollama**, follow the [Ollama Quickstart guide](./ollama_quickstart.md).
 
 ### 3.3 llama.cpp
 
-For instructions on how to run **llama.cpp** with IPEX-LLM, refer to the [llama.cpp Quickstart guide](https://github.com/intel-analytics/ipex-llm/blob/main/docs/mddocs/Quickstart/llama_cpp_quickstart.md).
+For instructions on how to run **llama.cpp** with IPEX-LLM, refer to the [llama.cpp Quickstart guide](./llama_cpp_quickstart.md).
 
 ### 3.4 vLLM
 
-To set up and run **vLLM**, follow the [vLLM Quickstart guide](https://github.com/intel-analytics/ipex-llm/blob/main/docs/mddocs/Quickstart/vLLM_quickstart.md).
+To set up and run **vLLM**, follow the [vLLM Quickstart guide](./vLLM_quickstart.md).
 
 ## 4. Troubleshooting
 

docs/mddocs/Quickstart/install_windows_gpu.md

@@ -59,49 +59,25 @@ conda activate llm
 
 With the `llm` environment active, use `pip` to install `ipex-llm` for GPU:
 
-- For **Intel Core™ Ultra Processors (Series 2) with processor number 2xxV (code name Lunar Lake)**:
+Choose either US or CN website for `extra-index-url`:
 
-   Choose either US or CN website for `extra-index-url`:
+- For **US**:
 
-   - For **US**:
-
-      ```cmd
-      conda create -n llm python=3.11 libuv
-      conda activate llm
-
-      pip install --pre --upgrade ipex-llm[xpu_lnl] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/lnl/us/
-      ```
-
-   - For **CN**:
-
-      ```cmd
-      conda create -n llm python=3.11 libuv
-      conda activate llm
-
-      pip install --pre --upgrade ipex-llm[xpu_lnl] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/lnl/cn/
-      ```
-
-- For **other Intel iGPU and dGPU**:
-
-   Choose either US or CN website for `extra-index-url`:
-
-   - For **US**:
-
-      ```cmd
-      conda create -n llm python=3.11 libuv
-      conda activate llm
+   ```cmd
+   conda create -n llm python=3.11 libuv
+   conda activate llm
 
-      pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
-      ```
+   pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
+   ```
 
-   - For **CN**:
+- For **CN**:
 
-      ```cmd
-      conda create -n llm python=3.11 libuv
-      conda activate llm
+   ```cmd
+   conda create -n llm python=3.11 libuv
+   conda activate llm
 
-      pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
-      ```
+   pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
+   ```
 
 > [!NOTE]
 > If you encounter network issues while installing IPEX, refer to [this guide](../Overview/install_gpu.md#install-ipex-llm-from-wheel) for troubleshooting advice.

docs/mddocs/Quickstart/install_windows_gpu.zh-CN.md

@@ -60,47 +60,26 @@ conda activate llm
 ## 安装 `ipex-llm`
 
 在 `llm` 环境处于激活状态下，使用 `pip` 安装适用于 GPU 的 `ipex-llm`。 
-- **对于处理器编号为 2xxV 的第二代 Intel Core™ Ultra Processors (代号 Lunar Lake)**：
 
-  可以根据区域选择不同的 `extra-index-url`，提供 US 和 CN 两个选项：
+可以根据区域选择不同的 `extra-index-url`，提供 US 和 CN 两个选项：
 
-  - **US**:
+- **US**:
 
-      ```cmd
-      conda create -n llm python=3.11 libuv
-      conda activate llm
-
-      pip install --pre --upgrade ipex-llm[xpu_lnl] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/lnl/us/
-      ```
-  - **CN**:
-
-      ```cmd
-      conda create -n llm python=3.11 libuv
-      conda activate llm
-
-      pip install --pre --upgrade ipex-llm[xpu_lnl] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/lnl/cn/
-      ```
-- 对于**其他 Intel iGPU 和 dGPU**:
-
-   可以根据区域选择不同的 `extra-index-url`，提供 US 和 CN 两个选项：
-
-   - **US**:
-
-      ```cmd
-      conda create -n llm python=3.11 libuv
-      conda activate llm
+  ```cmd
+  conda create -n llm python=3.11 libuv
+  conda activate llm
 
-      pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
-      ```
+  pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
+  ```
 
-   - **CN**:
+- **CN**:
 
-      ```cmd
-      conda create -n llm python=3.11 libuv
-      conda activate llm
+  ```cmd
+  conda create -n llm python=3.11 libuv
+  conda activate llm
 
-      pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
-      ```
+  pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
+  ```
 
 > [!NOTE]
 > 如果在安装 IPEX 时遇到网络问题，请参阅[本指南](../Overview/install_gpu.md#install-ipex-llm-from-wheel)获取故障排除建议。

python/llm/example/GPU/GraphMode/README.md

@@ -6,7 +6,7 @@ Here, we provide how to run [torch graph mode](https://pytorch.org/blog/optimizi
 ```bash
 conda create -n ipex-llm python=3.11
 conda activate ipex-llm
-pip install --pre --upgrade ipex-llm[xpu_arc] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
+pip install --pre --upgrade ipex-llm[xpu_arc]==2.2.0 --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
 pip install --pre pytorch-triton-xpu==3.0.0+1b2f15840e --index-url https://download.pytorch.org/whl/nightly/xpu
 conda install -c conda-forge libstdcxx-ng
 unset OCL_ICD_VENDORS