网站开发与设计论文刷关键词排名
1. 问题描述
使用OpenVINO进行深度学习推理时，通常会借助GPU以提升计算速度。然而，有时候运行程序时候会出现如下错误：
<kernel>:8153:2: error: expected identifier or '('unroll_for (int i = 0; i < TILE_SIZE; ++i) {^
<kernel>:17:56: note: expanded from macro 'unroll_for'
....
<kernel>:8242:2: error: expected identifier or '('unroll_for (int i = 0; i < X_REMAINDER_SIZE; ++i) {^
<kernel>:17:56: note: expanded from macro 'unroll_for'
....
terminate called after throwing an instance of 'InferenceEngine::GeneralError'what(): [ GENERAL_ERROR ] Check 'false' failed at src/plugins/intel_gpu/src/plugin/program_builder.cpp:179:
[GPU] ProgramBuilder build failed!
Program build failed(0_part_11): You may enable OCL source dump to see the error log。
我的系统版本为Ubuntu 20.04，内核版本5.15.0-101-generic。
2. 解决方法
https://github.com/openvinotoolkit/openvino/issues/18452给出了解决问题的方法是安装Intel核芯显卡的驱动程序。对于我的系统与内核版本，可以安装23.09.25812.14版本的驱动。
下面是具体的步骤（参考https://github.com/intel/compute-runtime/releases?page=2）：
步骤一：创建临时目录并下载相关软件包
在终端中执行以下命令：
mkdir neo
cd neo
wget https://github.com/intel/intel-graphics-compiler/releases/download/igc-1.0.13463.18/intel-igc-core_1.0.13463.18_amd64.deb
wget https://github.com/intel/intel-graphics-compiler/releases/download/igc-1.0.13463.18/intel-igc-opencl_1.0.13463.18_amd64.deb
wget https://github.com/intel/compute-runtime/releases/download/23.09.25812.14/intel-level-zero-gpu-dbgsym_1.3.25812.14_amd64.ddeb
wget https://github.com/intel/compute-runtime/releases/download/23.09.25812.14/intel-level-zero-gpu_1.3.25812.14_amd64.deb
wget https://github.com/intel/compute-runtime/releases/download/23.09.25812.14/intel-opencl-icd-dbgsym_23.09.25812.14_amd64.ddeb
wget https://github.com/intel/compute-runtime/releases/download/23.09.25812.14/intel-opencl-icd_23.09.25812.14_amd64.deb
wget https://github.com/intel/compute-runtime/releases/download/23.09.25812.14/libigdgmm12_22.3.0_amd64.deb
步骤二：验证软件包的完整性
下载相应的 *.sum 文件，并执行以下命令进行验证：
wget https://github.com/intel/compute-runtime/releases/download/23.09.25812.14/ww09.sum
sha256sum -c ww09.sum
确保输出中所有软件包的校验和都匹配。
步骤三：安装软件包
sudo安装软件包：
sudo dpkg -i *.deb
可以通过
clinfo -l
查看是否能够打印出Intel UHD Graphics。若有，则说明iGPU成功被驱动。
再次运行程序，已经可以正常使用GPU进行神经网络推理。