From 47d0d4c6d4e0184514404e5ddf4c1dc7e0958d35 Mon Sep 17 00:00:00 2001 From: ngxson Date: Thu, 1 Feb 2024 16:15:35 +0100 Subject: [PATCH] docs: correct docker image for Intel oneMKL --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 62d4fbcc3..af1f09fa0 100644 --- a/README.md +++ b/README.md @@ -408,13 +408,13 @@ Building the program with BLAS support may lead to some performance improvements ```bash mkdir build cd build - source /opt/intel/oneapi/setvars.sh # You can skip this step if in oneapi-runtime docker image, only required for manual installation + source /opt/intel/oneapi/setvars.sh # You can skip this step if in oneapi-basekit docker image, only required for manual installation cmake .. -DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=Intel10_64lp -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DLLAMA_NATIVE=ON cmake --build . --config Release ``` - Using oneAPI docker image: - If you do not want to source the environment vars and install oneAPI manually, you can also build the code using intel docker container: [oneAPI-runtime](https://hub.docker.com/r/intel/oneapi-runtime). Then, you can use the commands given above. + If you do not want to source the environment vars and install oneAPI manually, you can also build the code using intel docker container: [oneAPI-basekit](https://hub.docker.com/r/intel/oneapi-basekit). Then, you can use the commands given above. Check [Optimizing and Running LLaMA2 on Intel® CPU](https://www.intel.com/content/www/us/en/content-details/791610/optimizing-and-running-llama2-on-intel-cpu.html) for more information.