Sync with upstream ggml-org/llama.cpp tag b7751

This commit is contained in:
2026-01-16 14:21:48 +08:00
parent 8f29820a88
commit a2efec7ed6
2053 changed files with 956034 additions and 2 deletions

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# MIT license
# Copyright (C) 2024 Intel Corporation
# SPDX-License-Identifier: MIT
set(TARGET llama-ls-sycl-device)
add_executable(${TARGET} ls-sycl-device.cpp)
install(TARGETS ${TARGET} RUNTIME)
target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
target_compile_features(${TARGET} PRIVATE cxx_std_17)

41
examples/sycl/README.md Normal file
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# 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 the specified target *(using GGML_SYCL_TARGET)*.
2. Enable oneAPI running environment *(if GGML_SYCL_TARGET is set to INTEL -default-)*
```
source /opt/intel/oneapi/setvars.sh
```
3. Execute
```
./build/bin/llama-ls-sycl-device
```
Check the ID in startup log, like:
```
found 2 SYCL devices:
| | | | |Max | |Max |Global | |
| | | | |compute|Max work|sub |mem | |
|ID| Device Type| Name|Version|units |group |group|size | Driver version|
|--|-------------------|---------------------------------------|-------|-------|--------|-----|-------|---------------------|
| 0| [level_zero:gpu:0]| Intel Arc A770 Graphics| 1.3| 512| 1024| 32| 16225M| 1.3.29138|
| 1| [level_zero:gpu:1]| Intel UHD Graphics 750| 1.3| 32| 512| 32| 62631M| 1.3.29138|
```

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examples/sycl/build.sh Executable file
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#!/usr/bin/env bash
# MIT license
# Copyright (C) 2024 Intel Corporation
# SPDX-License-Identifier: MIT
mkdir -p build
cd build
source /opt/intel/oneapi/setvars.sh
#for FP16
#cmake .. -DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DGGML_SYCL_F16=ON -DLLAMA_OPENSSL=OFF # faster for long-prompt inference
#for FP32
cmake .. -DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DLLAMA_OPENSSL=OFF
#build example/main
#cmake --build . --config Release --target main
#build example/llama-bench
#cmake --build . --config Release --target llama-bench
#build all binary
cmake --build . --config Release -j -v

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//
// MIT license
// Copyright (C) 2024 Intel Corporation
// SPDX-License-Identifier: MIT
//
#include "ggml-sycl.h"
int main() {
ggml_backend_sycl_print_sycl_devices();
return 0;
}

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examples/sycl/run-llama2.sh Executable file
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#!/usr/bin/env bash
# MIT license
# Copyright (C) 2024 Intel Corporation
# SPDX-License-Identifier: MIT
export ONEAPI_DEVICE_SELECTOR="level_zero:0"
source /opt/intel/oneapi/setvars.sh
#export GGML_SYCL_DEBUG=1
#ZES_ENABLE_SYSMAN=1, Support to get free memory of GPU by sycl::aspect::ext_intel_free_memory. Recommended to use when --split-mode = layer.
INPUT_PROMPT="Building a website can be done in 10 simple steps:\nStep 1:"
MODEL_FILE=models/llama-2-7b.Q4_0.gguf
NGL=99
CONTEXT=4096
#support malloc device memory more than 4GB.
export UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS=1
if [ $# -gt 0 ]; then
GGML_SYCL_DEVICE=$1
echo "use $GGML_SYCL_DEVICE as main GPU"
#use signle GPU only
ZES_ENABLE_SYSMAN=1 ./build/bin/llama-completion -m ${MODEL_FILE} -no-cnv -p "${INPUT_PROMPT}" -n 400 -e -ngl ${NGL} -s 0 -c ${CONTEXT} -mg $GGML_SYCL_DEVICE -sm none
else
#use multiple GPUs with same max compute units
ZES_ENABLE_SYSMAN=1 ./build/bin/llama-completion -m ${MODEL_FILE} -no-cnv -p "${INPUT_PROMPT}" -n 400 -e -ngl ${NGL} -s 0 -c ${CONTEXT}
fi

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examples/sycl/run-llama3.sh Executable file
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#!/usr/bin/env bash
# MIT license
# Copyright (C) 2025 Intel Corporation
# SPDX-License-Identifier: MIT
# If you want more control, DPC++ Allows selecting a specific device through the
# following environment variable
export ONEAPI_DEVICE_SELECTOR="level_zero:0"
source /opt/intel/oneapi/setvars.sh
#export GGML_SYCL_DEBUG=1
#ZES_ENABLE_SYSMAN=1, Support to get free memory of GPU by sycl::aspect::ext_intel_free_memory. Recommended to use when --split-mode = layer.
INPUT_PROMPT="Building a website can be done in 10 simple steps:\nStep 1:"
MODEL_FILE=models/Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf
NGL=99 # Layers offloaded to the GPU. If the device runs out of memory, reduce this value according to the model you are using.
CONTEXT=4096
#support malloc device memory more than 4GB.
export UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS=1
if [ $# -gt 0 ]; then
GGML_SYCL_DEVICE=$1
echo "Using $GGML_SYCL_DEVICE as the main GPU"
ZES_ENABLE_SYSMAN=1 ./build/bin/llama-completion -m ${MODEL_FILE} -no-cnv -p "${INPUT_PROMPT}" -n 400 -e -ngl ${NGL} -s 0 -c ${CONTEXT} -mg $GGML_SYCL_DEVICE -sm none
else
#use multiple GPUs with same max compute units
ZES_ENABLE_SYSMAN=1 ./build/bin/llama-completion -m ${MODEL_FILE} -no-cnv -p "${INPUT_PROMPT}" -n 400 -e -ngl ${NGL} -s 0 -c ${CONTEXT}
fi

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:: MIT license
:: Copyright (C) 2024 Intel Corporation
:: SPDX-License-Identifier: MIT
IF not exist build (mkdir build)
cd build
if %errorlevel% neq 0 goto ERROR
@call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat" intel64 --force
if %errorlevel% neq 0 goto ERROR
:: for FP16
:: faster for long-prompt inference
:: cmake -G "MinGW Makefiles" .. -DLLAMA_OPENSSL=OFF -DGGML_SYCL=ON -DCMAKE_CXX_COMPILER=icx -DBUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release -DGGML_SYCL_F16=ON
:: for FP32
cmake -G "Ninja" .. -DLLAMA_OPENSSL=OFF -DGGML_SYCL=ON -DCMAKE_C_COMPILER=cl -DCMAKE_CXX_COMPILER=icx -DBUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release
if %errorlevel% neq 0 goto ERROR
:: build all binary
cmake --build . -j
if %errorlevel% neq 0 goto ERROR
cd ..
exit /B 0
:ERROR
echo comomand error: %errorlevel%
exit /B %errorlevel%

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:: MIT license
:: Copyright (C) 2024 Intel Corporation
:: SPDX-License-Identifier: MIT
set INPUT2="Building a website can be done in 10 simple steps:\nStep 1:"
@call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat" intel64 --force
:: support malloc device memory more than 4GB.
set UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS=1
.\build\bin\llama-completion.exe -m models\llama-2-7b.Q4_0.gguf -no-cnv -p %INPUT2% -n 400 -e -ngl 99 -s 0

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:: MIT license
:: Copyright (C) 2024 Intel Corporation
:: SPDX-License-Identifier: MIT
set INPUT2="Building a website can be done in 10 simple steps:\nStep 1:"
@call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat" intel64 --force
:: support malloc device memory more than 4GB.
set UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS=1
.\build\bin\llama-completion.exe -m models\Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf -no-cnv -p %INPUT2% -n 400 -s 0 -e -ngl 99