Files
koboldcpp/examples/sycl
Concedo 5b605d03ea Merge branch 'upstream' into concedo_experimental
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2024-07-06 00:25:10 +08:00
..

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.

  1. Build the llama.cpp for SYCL for all targets.

  2. Enable oneAPI running environment

source /opt/intel/oneapi/setvars.sh
  1. 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