mirror of https://github.com/ggerganov/llama.cpp.git synced 2024-12-25 19:04:35 +00:00

History

Olivier Chafik 1c641e6aac `build`: rename main → llama-cli, server → llama-server, llava-cli → llama-llava-cli, etc... (#7809 ) * `main`/`server`: rename to `llama` / `llama-server` for consistency w/ homebrew * server: update refs -> llama-server gitignore llama-server * server: simplify nix package * main: update refs -> llama fix examples/main ref * main/server: fix targets * update more names * Update build.yml * rm accidentally checked in bins * update straggling refs * Update .gitignore * Update server-llm.sh * main: target name -> llama-cli * Prefix all example bins w/ llama- * fix main refs * rename {main->llama}-cmake-pkg binary * prefix more cmake targets w/ llama- * add/fix gbnf-validator subfolder to cmake * sort cmake example subdirs * rm bin files * fix llama-lookup-* Makefile rules * gitignore /llama-* * rename Dockerfiles * rename llama\|main -> llama-cli; consistent RPM bin prefixes * fix some missing -cli suffixes * rename dockerfile w/ llama-cli * rename(make): llama-baby-llama * update dockerfile refs * more llama-cli(.exe) * fix test-eval-callback * rename: llama-cli-cmake-pkg(.exe) * address gbnf-validator unused fread warning (switched to C++ / ifstream) * add two missing llama- prefixes * Updating docs for eval-callback binary to use new `llama-` prefix. * Updating a few lingering doc references for rename of main to llama-cli * Updating `run-with-preset.py` to use new binary names. Updating docs around `perplexity` binary rename. * Updating documentation references for lookup-merge and export-lora * Updating two small `main` references missed earlier in the finetune docs. * Update apps.nix * update grammar/README.md w/ new llama-* names * update llama-rpc-server bin name + doc * Revert "update llama-rpc-server bin name + doc" This reverts commit `e474ef1df4`. * add hot topic notice to README.md * Update README.md * Update README.md * rename gguf-split & quantize bins refs in **/tests.sh --------- Co-authored-by: HanClinto <hanclinto@gmail.com>		2024-06-13 00:41:52 +01:00
..
build.sh	fix memcpy() crash, add missed cmd in guide, fix softmax (#6622 )	2024-04-14 10:42:29 +08:00
CMakeLists.txt	`build`: rename main → llama-cli, server → llama-server, llava-cli → llama-llava-cli, etc... (#7809 )	2024-06-13 00:41:52 +01:00
ls-sycl-device.cpp	Support multiple GPUs (split mode) on SYCL backend (#5806 )	2024-03-02 19:49:30 +08:00
README.md	`build`: rename main → llama-cli, server → llama-server, llava-cli → llama-llava-cli, etc... (#7809 )	2024-06-13 00:41:52 +01:00
run-llama2.sh	`build`: rename main → llama-cli, server → llama-server, llava-cli → llama-llava-cli, etc... (#7809 )	2024-06-13 00:41:52 +01:00
win-build-sycl.bat	add build shared lib in win release package (#7438 )	2024-05-24 10:06:56 +08:00
win-run-llama2.bat	update readme sycl for new update (#6151 )	2024-03-20 11:21:41 +08:00

README.md

llama.cpp/example/sycl

This example program provides the tools for llama.cpp for SYCL on Intel GPU.

Tool

Tool Name	Function	Status
llama-ls-sycl-device	List all SYCL devices with ID, compute capability, max work group size, ect.	Support

llama-ls-sycl-device

List all SYCL devices with ID, compute capability, max work group size, ect.

Build the llama.cpp for SYCL for all targets.
Enable oneAPI running environment

source /opt/intel/oneapi/setvars.sh

Execute

./build/bin/llama-ls-sycl-device

Check the ID in startup log, like:

found 4 SYCL devices:
  Device 0: Intel(R) Arc(TM) A770 Graphics,	compute capability 1.3,
    max compute_units 512,	max work group size 1024,	max sub group size 32,	global mem size 16225243136
  Device 1: Intel(R) FPGA Emulation Device,	compute capability 1.2,
    max compute_units 24,	max work group size 67108864,	max sub group size 64,	global mem size 67065057280
  Device 2: 13th Gen Intel(R) Core(TM) i7-13700K,	compute capability 3.0,
    max compute_units 24,	max work group size 8192,	max sub group size 64,	global mem size 67065057280
  Device 3: Intel(R) Arc(TM) A770 Graphics,	compute capability 3.0,
    max compute_units 512,	max work group size 1024,	max sub group size 32,	global mem size 16225243136

Attribute	Note
compute capability 1.3	Level-zero running time, recommended
compute capability 3.0	OpenCL running time, slower than level-zero in most cases