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* `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 e474ef1df481fd8936cd7d098e3065d7de378930. * 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>
48 lines
1.4 KiB
Markdown
48 lines
1.4 KiB
Markdown
# llama.cpp/example/sycl
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This example program provides 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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|llama-ls-sycl-device| List all SYCL devices with ID, compute capability, max work group size, ect.|Support|
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### llama-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/llama-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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|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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