hexagon: add support for linux on snapdragon (#21707)
* hexagon: add support for debian on ex2 * hexagon: add -fvectotize to c/c++ cmake flags * hexagon: remove trailing white space * update onboarding steps * hexagon: update linux setup documentation * hexagon: update intallation scripts * Hexagon: update docs * hexagon: update onboarding scripts --------- Co-authored-by: Zack Li <zackli@qti.qualcomm.com>
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# Snapdragon-based Linux devices
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## Docker Setup
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The easiest way to build llama.cpp for a Snapdragon-based Linux device is using the toolchain Docker image (see [github.com/snapdragon-toolchain](https://github.com/snapdragon-toolchain)).
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This image includes OpenCL SDK, Hexagon SDK, CMake, and the ARM64 Linux cross-compilation toolchain.
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Cross-compilation is supported on **Linux X86** hosts. The resulting binaries are deployed to and run on the target **Qualcomm Snapdragon ARM64 Linux** device.
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```
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~/src/llama.cpp$ docker run -it -u $(id -u):$(id -g) --volume $(pwd):/workspace --platform linux/amd64 ghcr.io/snapdragon-toolchain/arm64-linux:v0.1
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[d]/> cd /workspace
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```
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Note: The rest of the **Linux** build process assumes that you're running inside the toolchain container.
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## How to Build
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Let's build llama.cpp with CPU, OpenCL, and Hexagon backends via CMake presets:
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```
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[d]/workspace> cp docs/backend/snapdragon/CMakeUserPresets.json .
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[d]/workspace> cmake --preset arm64-linux-snapdragon-release -B build-snapdragon
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[d]/workspace> cmake --build build-snapdragon -j $(nproc)
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```
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To generate an installable "package" simply use cmake --install, then zip it:
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```
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[d]/workspace> cmake --install build-snapdragon --prefix pkg-snapdragon
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[d]/workspace> zip -r pkg-snapdragon.zip pkg-snapdragon
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```
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## How to Install
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For this step, you will deploy the built binaries and libraries to the target Linux device. Transfer `pkg-snapdragon.zip` to the target device, then unzip it and set up the environment variables:
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```
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$ unzip pkg-snapdragon.zip
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$ cd pkg-snapdragon
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$ export LD_LIBRARY_PATH=./lib
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$ export ADSP_LIBRARY_PATH=./lib
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```
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At this point, you should also download some models onto the device:
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```
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$ wget https://huggingface.co/bartowski/Llama-3.2-3B-Instruct-GGUF/resolve/main/Llama-3.2-3B-Instruct-Q4_0.gguf
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```
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## How to Run
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Next, since we have setup the environment variables, we can run the llama-cli with the Hexagon backends:
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```
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$ ./bin/llama-cli -m Llama-3.2-3B-Instruct-Q4_0.gguf --device HTP0 -ngl 99 -p "what is the most popular cookie in the world?"
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```
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