ggml : add unified SYCL backend for Intel GPUs (#2690)
* first update for migration * update init_cublas * add debug functio, commit all help code * step 1 * step 2 * step3 add fp16, slower 31->28 * add GGML_LIST_DEVICE function * step 5 format device and print * step6, enhance error check, remove CUDA macro, enhance device id to fix none-zero id issue * support main device is non-zero * step7 add debug for code path, rm log * step 8, rename all macro & func from cuda by sycl * fix error of select non-zero device, format device list * ren ggml-sycl.hpp -> ggml-sycl.h * clear CMAKE to rm unused lib and options * correct queue: rm dtct:get_queue * add print tensor function to debug * fix error: wrong result in 658746bb26702e50f2c59c0e4ada8e9da6010481 * summary dpct definition in one header file to replace folder:dpct * refactor device log * mv dpct definition from folder dpct to ggml-sycl.h * update readme, refactor build script * fix build with sycl * set nthread=1 when sycl, increase performance * add run script, comment debug code * add ls-sycl-device tool * add ls-sycl-device, rm unused files * rm rear space * dos2unix * Update README_sycl.md * fix return type * remove sycl version from include path * restore rm code to fix hang issue * add syc and link for sycl readme * rm original sycl code before refactor * fix code err * add know issue for pvc hang issue * enable SYCL_F16 support * align pr4766 * check for sycl blas, better performance * cleanup 1 * remove extra endif * add build&run script, clean CMakefile, update guide by review comments * rename macro to intel hardware * editor config format * format fixes * format fixes * editor format fix * Remove unused headers * skip build sycl tool for other code path * replace tab by space * fix blas matmul function * fix mac build * restore hip dependency * fix conflict * ren as review comments * mv internal function to .cpp file * export funciton print_sycl_devices(), mv class dpct definition to source file * update CI/action for sycl code, fix CI error of repeat/dup * fix action ID format issue * rm unused strategy * enable llama_f16 in ci * fix conflict * fix build break on MacOS, due to CI of MacOS depend on external ggml, instead of internal ggml * fix ci cases for unsupported data type * revert unrelated changed in cuda cmake remove useless nommq fix typo of GGML_USE_CLBLAS_SYCL * revert hip cmake changes * fix indent * add prefix in func name * revert no mmq * rm cpu blas duplicate * fix no_new_line * fix src1->type==F16 bug. * pass batch offset for F16 src1 * fix batch error * fix wrong code * revert sycl checking in test-sampling * pass void as arguments of ggml_backend_sycl_print_sycl_devices * remove extra blank line in test-sampling * revert setting n_threads in sycl * implement std::isinf for icpx with fast math. * Update ci/run.sh Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update examples/sycl/run-llama2.sh Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update examples/sycl/run-llama2.sh Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update CMakeLists.txt Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update CMakeLists.txt Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update CMakeLists.txt Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update CMakeLists.txt Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * add copyright and MIT license declare * update the cmd example --------- Co-authored-by: jianyuzh <jianyu.zhang@intel.com> Co-authored-by: luoyu-intel <yu.luo@intel.com> Co-authored-by: Meng, Hengyu <hengyu.meng@intel.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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22 changed files with 15764 additions and 24 deletions
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@ -23,6 +23,9 @@ else()
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add_subdirectory(infill)
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add_subdirectory(llama-bench)
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add_subdirectory(llava)
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if (LLAMA_SYCL)
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add_subdirectory(sycl)
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endif()
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add_subdirectory(main)
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add_subdirectory(tokenize)
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add_subdirectory(parallel)
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@ -2099,7 +2099,7 @@ static void server_params_parse(int argc, char **argv, server_params &sparams,
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invalid_param = true;
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break;
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}
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#ifdef GGML_USE_CUBLAS
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#if defined(GGML_USE_CUBLAS) || defined(GGML_USE_SYCL)
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std::string arg_next = argv[i];
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// split string by , and /
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@ -2125,7 +2125,7 @@ static void server_params_parse(int argc, char **argv, server_params &sparams,
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}
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else if (arg == "--no-mul-mat-q" || arg == "-nommq")
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{
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#ifdef GGML_USE_CUBLAS
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#if defined(GGML_USE_CUBLAS) || defined(GGML_USE_SYCL)
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params.mul_mat_q = false;
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#else
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LOG_WARNING("warning: llama.cpp was compiled without cuBLAS. Disabling mul_mat_q kernels has no effect.\n", {});
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invalid_param = true;
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break;
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}
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#ifdef GGML_USE_CUBLAS
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#if defined(GGML_USE_CUBLAS) || defined(GGML_USE_SYCL)
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params.main_gpu = std::stoi(argv[i]);
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#else
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LOG_WARNING("llama.cpp was compiled without cuBLAS. It is not possible to set a main GPU.", {});
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9
examples/sycl/CMakeLists.txt
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examples/sycl/CMakeLists.txt
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@ -0,0 +1,9 @@
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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(TARGET ls-sycl-device)
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add_executable(${TARGET} ls-sycl-device.cpp)
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install(TARGETS ${TARGET} RUNTIME)
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target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
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target_compile_features(${TARGET} PRIVATE cxx_std_17)
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47
examples/sycl/README.md
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examples/sycl/README.md
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# llama.cpp/example/sycl
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This example program provide the tools for llama.cpp for SYCL on Intel GPU.
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## Tool
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|Tool Name| Function|Status|
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|-|-|-|
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|ls-sycl-device| List all SYCL devices with ID, compute capability, max work group size, ect.|Support|
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### ls-sycl-device
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List all SYCL devices with ID, compute capability, max work group size, ect.
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1. Build the llama.cpp for SYCL for all targets.
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2. Enable oneAPI running environment
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```
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source /opt/intel/oneapi/setvars.sh
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```
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3. Execute
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```
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./build/bin/ls-sycl-device
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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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examples/sycl/build.sh
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examples/sycl/build.sh
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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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source /opt/intel/oneapi/setvars.sh
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#for FP16
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#cmake .. -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DLLAMA_SYCL_F16=ON # faster for long-prompt inference
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#for FP32
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cmake .. -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx
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#build example/main only
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#cmake --build . --config Release --target main
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#build all binary
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cmake --build . --config Release -v
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examples/sycl/ls-sycl-device.cpp
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examples/sycl/ls-sycl-device.cpp
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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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*/
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#include "ggml-sycl.h"
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int main(int argc, char ** argv) {
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ggml_backend_sycl_print_sycl_devices();
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return 0;
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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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#!/bin/bash
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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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source /opt/intel/oneapi/setvars.sh
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if [ $# -gt 0 ]; then
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export GGML_SYCL_DEVICE=$1
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else
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export GGML_SYCL_DEVICE=0
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fi
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echo GGML_SYCL_DEVICE=$GGML_SYCL_DEVICE
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#export GGML_SYCL_DEBUG=1
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./build/bin/main -m models/llama-2-7b.Q4_0.gguf -p "${INPUT2}" -n 400 -e -ngl 33 -s 0
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#./build/bin/main -m models/llama-2-7b.Q4_0.gguf -p "${INPUT2}" -n 5 -e -ngl 33 -t 1 -s 0
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