Tweaks to code block.

codeplaysoftware · Aug 16, 2024 · 855a409 · 855a409
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diff --git a/...1-porting-ai-codes-from-cuda-to-sycl-and-oneapi-one-llama-at-a-time-part-one.md b/...1-porting-ai-codes-from-cuda-to-sycl-and-oneapi-one-llama-at-a-time-part-one.md
@@ -106,7 +106,7 @@ The first step is to clone the llama.cpp repository, and configure cmake as usua
 $ git clone https://github.com/ggerganov/llama.cpp.git
 $ cd llama.cpp
 $ git checkout 3c04bf6da89eaf4c7d317e0518f0687dfcbf2de7
-$ mkdir build &amp;&amp; cd build
+$ mkdir build && cd build
 $ cmake .. -DLLAMA_CUBLAS=ON -DLLAMA_CUDA=ON -
 $ DCMAKE_CUDA_ARCHITECTURES=80
 ```

diff --git a/...3-part-two-porting-ai-codes-from-cuda-to-sycl-and-oneapi-one-llama-at-a-time.md b/...3-part-two-porting-ai-codes-from-cuda-to-sycl-and-oneapi-one-llama-at-a-time.md
@@ -21,7 +21,7 @@ Now we are going to build the converted code directly using the CMake file that
 build the main binary for llama.cpp.
 
 ```shell
-$ cd dpct_out &amp;&amp; mkdir syclbuild &amp;&amp; cd syclbuild
+$ cd dpct_out && mkdir syclbuild && cd syclbuild
 $ MKLROOT=/home/ruyman/soft/mkl CC=icx CXX=icpx cmake .. -DLLAMA_CUBLAS=ON -DCMAKE_CUDA_ARCHITECTURES=80 -DCMAKE_CXX_FLAGS="-fsycl -fsycl-targets=nvptx64-nvidia-cuda -L${MKLROOT}/lib" 
 $ make main
 ```