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Small fix in llama.cpp troubleshooting guide (#12457)

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Yuwen Hu 2024-11-27 19:22:11 +08:00 committed by GitHub
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docs/mddocs/Quickstart/llama_cpp_quickstart.md
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@ -352,8 +352,8 @@ If you meet `System Error: sycl7.dll not found` on Windows or you meet similar e
1. if you have installed conda and if you are in the right conda environment which has pip installed oneapi dependencies on Windows
2. if you have executed `source /opt/intel/oneapi/setvars.sh` on Linux
#### 11. Check driver first when you meet garbage output
If you meet garbage output, please check if your GPU driver version is >= [31.0.101.5522](https://www.intel.cn/content/www/cn/zh/download/785597/823163/intel-arc-iris-xe-graphics-windows.html). If not, please follow the instructions in [this section](./install_linux_gpu.md#install-gpu-driver) to update your GPU driver.
#### 11. Check driver first when you meet garbage output on Windows
If you meet garbage output on Windows, please check if your GPU driver version is >= [31.0.101.5522](https://www.intel.cn/content/www/cn/zh/download/785597/823163/intel-arc-iris-xe-graphics-windows.html). If not, please follow the instructions in [this section](./install_windows_gpu.md#optional-update-gpu-driver) to update your GPU driver.
#### 12. Why my program can't find sycl device
If you meet `GGML_ASSERT: C:/Users/Administrator/actions-runner/cpp-release/_work/llm.cpp/llm.cpp/llama-cpp-bigdl/ggml-sycl.cpp:18283: main_gpu_id<g_all_sycl_device_count` error or similar error, and you find nothing is output when using `ls-sycl-device`, this is because llama.cpp cannot find the sycl device. On some laptops, the installation of the ARC driver may lead to a forced installation of `OpenCL, OpenGL, and Vulkan Compatibility Pack` by Microsoft, which inadvertently blocks the system from locating sycl devices. This issue can be resolved by manually uninstalling it in Microsoft store.

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docs/mddocs/Quickstart/llama_cpp_quickstart.zh-CN.md
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@ -353,8 +353,8 @@ Log end
1. Windows：是否已经安装了 conda 并激活了正确的 conda 环境，环境中是否已经使用 pip 安装了 oneAPI 依赖项
2. Linux：是否已经在运行 llama.cpp 命令前执行了 `source /opt/intel/oneapi/setvars.sh`。执行此 source 命令只在当前会话有效。
#### 11. 遇到输出乱码请先检查驱动
如果你遇到输出乱码，请检查 GPU 驱动版本是否 >= [31.0.101.5522](https://www.intel.cn/content/www/cn/zh/download/785597/823163/intel-arc-iris-xe-graphics-windows.html)。如果不是，请参照[这里](./install_linux_gpu.zh-CN.md#安装-GPU-驱动程序) 的说明更新你的 GPU 驱动。
#### 11. 在 Windows 上遇到输出乱码请先检查驱动
如果你在 Windows 上遇到输出乱码，请检查 GPU 驱动版本是否 >= [31.0.101.5522](https://www.intel.cn/content/www/cn/zh/download/785597/823163/intel-arc-iris-xe-graphics-windows.html)。如果不是，请参照[这里](./install_windows_gpu.zh-CN.md#可选-更新-gpu-驱动程序) 的说明更新你的 GPU 驱动。
#### 12. 为什么我的程序找不到 sycl 设备
如果你遇到 `GGML_ASSERT: C:/Users/Administrator/actions-runner/cpp-release/_work/llm.cpp/llm.cpp/llama-cpp-bigdl/ggml-sycl.cpp:18283: main_gpu_id<g_all_sycl_device_count` 错误或者类似错误，并且发现使用 `ls-sycl-device` 时没有任何输出，这是因为 llama.cpp 无法找到 sycl 设备。在某些笔记本电脑上，安装 ARC 驱动程序可能会导致被 Microsoft 强制安装 `OpenCL, OpenGL, and Vulkan Compatibility Pack`，这会无意中阻止系统定位 sycl 设备。这个问题可以通过在微软应用商店中手动卸载这个软件包来解决。