mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2024-12-24 10:24:35 +00:00
support SYCL backend windows build (#5208)
* support SYCL backend windows build * add windows build in CI * add for win build CI * correct install oneMKL * fix install issue * fix ci * fix install cmd * fix install cmd * fix install cmd * fix install cmd * fix install cmd * fix win build * fix win build * fix win build * restore other CI part * restore as base * rm no new line * fix no new line issue, add -j * fix grammer issue * allow to trigger manually, fix format issue * fix format * add newline * fix format * fix format * fix format issuse --------- Co-authored-by: Abhilash Majumder <30946547+abhilash1910@users.noreply.github.com>
This commit is contained in:
Neo Zhang Jianyu
GitHub
parent
e8dc55d006
commit
01684139c3
25
.github/workflows/build.yml
vendored
25
.github/workflows/build.yml
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@ -565,6 +565,31 @@ jobs:
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path: |
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cudart-llama-bin-win-cu${{ matrix.cuda }}-x64.zip
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windows-latest-cmake-sycl:
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runs-on: windows-latest
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defaults:
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run:
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shell: bash
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env:
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WINDOWS_BASEKIT_URL: https://registrationcenter-download.intel.com/akdlm/IRC_NAS/62641e01-1e8d-4ace-91d6-ae03f7f8a71f/w_BaseKit_p_2024.0.0.49563_offline.exe
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WINDOWS_DPCPP_MKL: intel.oneapi.win.cpp-dpcpp-common:intel.oneapi.win.mkl.devel
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steps:
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- name: Clone
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id: checkout
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uses: actions/checkout@v3
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with:
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fetch-depth: 0
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- name: Install
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run: scripts/install-oneapi.bat $WINDOWS_BASEKIT_URL $WINDOWS_DPCPP_MKL
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- name: Build
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id: cmake_build
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run: examples/sycl/win-build-sycl.bat
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ios-xcode-build:
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runs-on: macos-latest
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6
.github/workflows/editorconfig.yml
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6
.github/workflows/editorconfig.yml
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@ -1,6 +1,12 @@
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name: EditorConfig Checker
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on:
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workflow_dispatch: # allows manual triggering
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inputs:
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create_release:
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description: 'Create new release'
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required: true
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type: boolean
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push:
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branches:
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- master
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1
.gitignore
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1
.gitignore
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@ -89,3 +89,4 @@ examples/jeopardy/results.txt
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poetry.lock
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poetry.toml
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nppBackup
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@ -507,7 +507,11 @@ if (LLAMA_SYCL)
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set(GGML_HEADERS_SYCL ggml.h ggml-sycl.h)
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set(GGML_SOURCES_SYCL ggml-sycl.cpp)
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set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} sycl OpenCL mkl_core pthread m dl mkl_sycl_blas mkl_intel_ilp64 mkl_tbb_thread)
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if (WIN32)
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set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} -fsycl sycl7 OpenCL mkl_sycl_blas_dll.lib mkl_intel_ilp64_dll.lib mkl_sequential_dll.lib mkl_core_dll.lib)
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else()
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set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} -fsycl OpenCL mkl_core pthread m dl mkl_sycl_blas mkl_intel_ilp64 mkl_tbb_thread)
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endif()
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endif()
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if (LLAMA_KOMPUTE)
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@ -8,10 +8,14 @@
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[Linux](#linux)
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[Windows](#windows)
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[Environment Variable](#environment-variable)
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[Known Issue](#known-issue)
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[Q&A](#q&a)
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[Todo](#todo)
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## Background
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@ -33,7 +37,7 @@ For Intel CPU, recommend to use llama.cpp for X86 (Intel MKL building).
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|OS|Status|Verified|
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|-|-|-|
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|Linux|Support|Ubuntu 22.04|
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|Windows|Ongoing| |
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|Windows|Support|Windows 11|
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## Intel GPU
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@ -42,7 +46,7 @@ For Intel CPU, recommend to use llama.cpp for X86 (Intel MKL building).
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|-|-|-|
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|Intel Data Center Max Series| Support| Max 1550|
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|Intel Data Center Flex Series| Support| Flex 170|
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|Intel Arc Series| Support| Arc 770|
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|Intel Arc Series| Support| Arc 770, 730M|
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|Intel built-in Arc GPU| Support| built-in Arc GPU in Meteor Lake|
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|Intel iGPU| Support| iGPU in i5-1250P, i7-1165G7|
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@ -131,6 +135,7 @@ cmake .. -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx
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#build all binary
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cmake --build . --config Release -v
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cd ..
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```
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or
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@ -195,7 +200,7 @@ GGML_SYCL_DEVICE=0 ./build/bin/main -m models/llama-2-7b.Q4_0.gguf -p "Building
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or run by script:
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```
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./examples/sycl/run_llama2.sh
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./examples/sycl/run-llama2.sh
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```
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Note:
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@ -205,11 +210,175 @@ Note:
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5. Check the device ID in output
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Like：
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Like:
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```
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Using device **0** (Intel(R) Arc(TM) A770 Graphics) as main device
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```
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## Windows
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### Setup Environment
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1. Install Intel GPU driver.
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Please install Intel GPU driver by official guide: [Install GPU Drivers](https://www.intel.com/content/www/us/en/products/docs/discrete-gpus/arc/software/drivers.html).
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2. Install Intel® oneAPI Base toolkit.
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a. Please follow the procedure in [Get the Intel® oneAPI Base Toolkit ](https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit.html).
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Recommend to install to default folder: **/opt/intel/oneapi**.
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Following guide uses the default folder as example. If you use other folder, please modify the following guide info with your folder.
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b. Enable oneAPI running environment:
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- In Search, input 'oneAPI'.
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Search & open "Intel oneAPI command prompt for Intel 64 for Visual Studio 2022"
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- In Run:
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In CMD:
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```
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"C:\Program Files (x86)\Intel\oneAPI\setvars.bat" intel64
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```
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c. Check GPU
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In oneAPI command line:
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```
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sycl-ls
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```
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There should be one or more level-zero devices. Like **[ext_oneapi_level_zero:gpu:0]**.
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Output (example):
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```
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[opencl:acc:0] Intel(R) FPGA Emulation Platform for OpenCL(TM), Intel(R) FPGA Emulation Device OpenCL 1.2 [2023.16.10.0.17_160000]
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[opencl:cpu:1] Intel(R) OpenCL, 11th Gen Intel(R) Core(TM) i7-1185G7 @ 3.00GHz OpenCL 3.0 (Build 0) [2023.16.10.0.17_160000]
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[opencl:gpu:2] Intel(R) OpenCL Graphics, Intel(R) Iris(R) Xe Graphics OpenCL 3.0 NEO [31.0.101.5186]
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[ext_oneapi_level_zero:gpu:0] Intel(R) Level-Zero, Intel(R) Iris(R) Xe Graphics 1.3 [1.3.28044]
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```
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3. Install cmake & make
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a. Download & install cmake for windows: https://cmake.org/download/
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b. Download & install make for windows provided by mingw-w64: https://www.mingw-w64.org/downloads/
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### Build locally:
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In oneAPI command line window:
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```
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mkdir -p build
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cd build
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@call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat" intel64 --force
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:: for FP16
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:: faster for long-prompt inference
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:: cmake -G "MinGW Makefiles" .. -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icx -DCMAKE_BUILD_TYPE=Release -DLLAMA_SYCL_F16=ON
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:: for FP32
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cmake -G "MinGW Makefiles" .. -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icx -DCMAKE_BUILD_TYPE=Release
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:: build example/main only
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:: make main
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:: build all binary
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make -j
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cd ..
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```
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or
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```
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.\examples\sycl\win-build-sycl.bat
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```
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Note:
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- By default, it will build for all binary files. It will take more time. To reduce the time, we recommend to build for **example/main** only.
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### Run
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1. Put model file to folder **models**
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2. Enable oneAPI running environment
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- In Search, input 'oneAPI'.
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Search & open "Intel oneAPI command prompt for Intel 64 for Visual Studio 2022"
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- In Run:
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In CMD:
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```
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"C:\Program Files (x86)\Intel\oneAPI\setvars.bat" intel64
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```
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3. List device ID
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Run without parameter:
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```
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build\bin\ls-sycl-device.exe
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or
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build\bin\main.exe
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```
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Check the ID in startup log, like:
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```
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found 4 SYCL devices:
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Device 0: Intel(R) Arc(TM) A770 Graphics, compute capability 1.3,
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max compute_units 512, max work group size 1024, max sub group size 32, global mem size 16225243136
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Device 1: Intel(R) FPGA Emulation Device, compute capability 1.2,
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max compute_units 24, max work group size 67108864, max sub group size 64, global mem size 67065057280
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Device 2: 13th Gen Intel(R) Core(TM) i7-13700K, compute capability 3.0,
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max compute_units 24, max work group size 8192, max sub group size 64, global mem size 67065057280
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Device 3: Intel(R) Arc(TM) A770 Graphics, compute capability 3.0,
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max compute_units 512, max work group size 1024, max sub group size 32, global mem size 16225243136
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```
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|Attribute|Note|
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|-|-|
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|compute capability 1.3|Level-zero running time, recommended |
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|compute capability 3.0|OpenCL running time, slower than level-zero in most cases|
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4. Set device ID and execute llama.cpp
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Set device ID = 0 by **set GGML_SYCL_DEVICE=0**
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```
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set GGML_SYCL_DEVICE=0
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build\bin\main.exe -m models\llama-2-7b.Q4_0.gguf -p "Building a website can be done in 10 simple steps:\nStep 1:" -n 400 -e -ngl 33 -s 0
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```
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or run by script:
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```
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.\examples\sycl\win-run-llama2.bat
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```
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Note:
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- By default, mmap is used to read model file. In some cases, it leads to the hang issue. Recommend to use parameter **--no-mmap** to disable mmap() to skip this issue.
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5. Check the device ID in output
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Like:
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```
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Using device **0** (Intel(R) Arc(TM) A770 Graphics) as main device
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```
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## Environment Variable
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@ -220,7 +389,7 @@ Using device **0** (Intel(R) Arc(TM) A770 Graphics) as main device
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|LLAMA_SYCL|ON (mandatory)|Enable build with SYCL code path. <br>For FP32/FP16, LLAMA_SYCL=ON is mandatory.|
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|LLAMA_SYCL_F16|ON (optional)|Enable FP16 build with SYCL code path. Faster for long-prompt inference. <br>For FP32, not set it.|
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|CMAKE_C_COMPILER|icx|Use icx compiler for SYCL code path|
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|CMAKE_CXX_COMPILER|icpx|use icpx for SYCL code path|
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|CMAKE_CXX_COMPILER|icpx (Linux), icx (Windows)|use icpx/icx for SYCL code path|
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#### Running
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@ -232,19 +401,24 @@ Using device **0** (Intel(R) Arc(TM) A770 Graphics) as main device
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## Known Issue
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- Error: `error while loading shared libraries: libsycl.so.7: cannot open shared object file: No such file or directory`.
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Miss to enable oneAPI running environment.
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Install oneAPI base toolkit and enable it by: `source /opt/intel/oneapi/setvars.sh`.
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- Hang during startup
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llama.cpp use mmap as default way to read model file and copy to GPU. In some system, memcpy will be abnormal and block.
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Solution: add **--no-mmap**.
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## Q&A
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- Error: `error while loading shared libraries: libsycl.so.7: cannot open shared object file: No such file or directory`.
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Miss to enable oneAPI running environment.
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Install oneAPI base toolkit and enable it by: `source /opt/intel/oneapi/setvars.sh`.
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- In Windows, no result, not error.
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Miss to enable oneAPI running environment.
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## Todo
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- Support to build in Windows.
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@ -10,6 +10,8 @@ Inference of [LLaMA](https://arxiv.org/abs/2302.13971) model in pure C/C++
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### Hot topics
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- ⚠️ Incoming backends: https://github.com/ggerganov/llama.cpp/discussions/5138
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- [SYCL backend](README-sycl.md) is ready (1/28/2024), support Linux/Windows in Intel GPUs (iGPU, Arc/Flex/Max series)
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- New SOTA quantized models, including pure 2-bits: https://huggingface.co/ikawrakow
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- Collecting Apple Silicon performance stats:
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- M-series: https://github.com/ggerganov/llama.cpp/discussions/4167
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@ -604,7 +606,7 @@ Building the program with BLAS support may lead to some performance improvements
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llama.cpp based on SYCL is used to support Intel GPU (Data Center Max series, Flex series, Arc series, Built-in GPU and iGPU).
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For detailed info, please refer to [llama.cpp for SYCL](README_sycl.md).
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For detailed info, please refer to [llama.cpp for SYCL](README-sycl.md).
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### Prepare Data & Run
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23
examples/sycl/win-build-sycl.bat
Normal file
23
examples/sycl/win-build-sycl.bat
Normal file
@ -0,0 +1,23 @@
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:: MIT license
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:: Copyright (C) 2024 Intel Corporation
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:: SPDX-License-Identifier: MIT
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mkdir -p build
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cd build
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@call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat" intel64 --force
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:: for FP16
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:: faster for long-prompt inference
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:: cmake -G "MinGW Makefiles" .. -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icx -DCMAKE_BUILD_TYPE=Release -DLLAMA_SYCL_F16=ON
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:: for FP32
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cmake -G "MinGW Makefiles" .. -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icx -DCMAKE_BUILD_TYPE=Release
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:: build example/main only
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:: make main
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:: build all binary
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make -j
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cd ..
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13
examples/sycl/win-run-llama2.bat
Normal file
13
examples/sycl/win-run-llama2.bat
Normal file
@ -0,0 +1,13 @@
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:: MIT license
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:: Copyright (C) 2024 Intel Corporation
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:: SPDX-License-Identifier: MIT
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INPUT2="Building a website can be done in 10 simple steps:\nStep 1:"
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@call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat" intel64 --force
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set GGML_SYCL_DEVICE=0
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rem set GGML_SYCL_DEBUG=1
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.\build\bin\main.exe -m models\llama-2-7b.Q4_0.gguf -p %INPUT2% -n 400 -e -ngl 33 -s 0
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19
scripts/install-oneapi.bat
Normal file
19
scripts/install-oneapi.bat
Normal file
@ -0,0 +1,19 @@
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:: MIT license
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:: Copyright (C) 2024 Intel Corporation
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:: SPDX-License-Identifier: MIT
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set URL=%1
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set COMPONENTS=%2
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curl.exe --output %TEMP%\webimage.exe --url %URL% --retry 5 --retry-delay 5
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start /b /wait %TEMP%\webimage.exe -s -x -f webimage_extracted --log extract.log
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del %TEMP%\webimage.exe
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if "%COMPONENTS%"=="" (
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webimage_extracted\bootstrapper.exe -s --action install --eula=accept -p=NEED_VS2017_INTEGRATION=0 -p=NEED_VS2019_INTEGRATION=0 -p=NEED_VS2022_INTEGRATION=0 --log-dir=.
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) else (
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webimage_extracted\bootstrapper.exe -s --action install --components=%COMPONENTS% --eula=accept -p=NEED_VS2017_INTEGRATION=0 -p=NEED_VS2019_INTEGRATION=0 -p=NEED_VS2022_INTEGRATION=0 --log-dir=.
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)
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set installer_exit_code=%ERRORLEVEL%
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rd /s/q "webimage_extracted"
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exit /b %installer_exit_code%
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