create test.sh to enhance the parameters for testing, update the guide, rm useless script (#19243)
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@ -119,7 +119,7 @@ On older Intel GPUs, you may try [OpenCL](/docs/backend/OPENCL.md) although the
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*Notes:*
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- **Memory**
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- The device memory is a limitation when running a large model. The loaded model size, *`llm_load_tensors: buffer_size`*, is displayed in the log when running `./bin/llama-cli`.
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- The device memory is a limitation when running a large model. The loaded model size, *`llm_load_tensors: buffer_size`*, is displayed in the log when running `./bin/llama-completion`.
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- Please make sure the GPU shared memory from the host is large enough to account for the model's size. For e.g. the *llama-2-7b.Q4_0* requires at least 8.0GB for integrated GPU and 4.0GB for discrete GPU.
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- **Execution Unit (EU)**
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@ -423,16 +423,12 @@ Choose one of following methods to run.
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- Use device 0:
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```sh
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./examples/sycl/run-llama2.sh 0
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# OR
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./examples/sycl/run-llama3.sh 0
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./examples/sycl/test.sh -mg 0
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```
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- Use multiple devices:
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```sh
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./examples/sycl/run-llama2.sh
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# OR
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./examples/sycl/run-llama3.sh
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./examples/sycl/test.sh
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```
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2. Command line
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@ -455,13 +451,13 @@ Examples:
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- Use device 0:
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```sh
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ZES_ENABLE_SYSMAN=1 ./build/bin/llama-cli -no-cnv -m models/llama-2-7b.Q4_0.gguf -p "Building a website can be done in 10 simple steps:" -n 400 -e -ngl 99 -sm none -mg 0
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ZES_ENABLE_SYSMAN=1 ./build/bin/llama-completion -no-cnv -m models/llama-2-7b.Q4_0.gguf -p "Building a website can be done in 10 simple steps:" -n 400 -e -ngl 99 -sm none -mg 0 --mmap
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```
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- Use multiple devices:
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```sh
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ZES_ENABLE_SYSMAN=1 ./build/bin/llama-cli -no-cnv -m models/llama-2-7b.Q4_0.gguf -p "Building a website can be done in 10 simple steps:" -n 400 -e -ngl 99 -sm layer
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ZES_ENABLE_SYSMAN=1 ./build/bin/llama-completion -no-cnv -m models/llama-2-7b.Q4_0.gguf -p "Building a website can be done in 10 simple steps:" -n 400 -e -ngl 99 -sm layer --mmap
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```
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*Notes:*
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@ -577,13 +573,13 @@ Or, use CMake presets to build:
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```sh
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cmake --preset x64-windows-sycl-release
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cmake --build build-x64-windows-sycl-release -j --target llama-cli
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cmake --build build-x64-windows-sycl-release -j --target llama-completion
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cmake -DGGML_SYCL_F16=ON --preset x64-windows-sycl-release
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cmake --build build-x64-windows-sycl-release -j --target llama-cli
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cmake --build build-x64-windows-sycl-release -j --target llama-completion
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cmake --preset x64-windows-sycl-debug
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cmake --build build-x64-windows-sycl-debug -j --target llama-cli
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cmake --build build-x64-windows-sycl-debug -j --target llama-completion
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```
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#### 3. Visual Studio
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@ -608,7 +604,7 @@ You can use Visual Studio to open the `llama.cpp` folder directly as a CMake pro
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- For a minimal experimental setup, you can build only the inference executable using:
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```Powershell
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cmake --build build --config Release -j --target llama-cli
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cmake --build build --config Release -j --target llama-completion
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```
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##### - Generating a Visual Studio Solution
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@ -714,13 +710,7 @@ Choose one of following methods to run.
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1. Script
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```
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examples\sycl\win-run-llama-2.bat
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```
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or
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```
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examples\sycl\win-run-llama-3.bat
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examples\sycl\win-test.bat
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```
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2. Command line
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@ -744,13 +734,13 @@ Examples:
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- Use device 0:
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```
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build\bin\llama-cli.exe -no-cnv -m models\llama-2-7b.Q4_0.gguf -p "Building a website can be done in 10 simple steps:\nStep 1:" -n 400 -e -ngl 99 -sm none -mg 0
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build\bin\llama-completion.exe -no-cnv -m models\llama-2-7b.Q4_0.gguf -p "Building a website can be done in 10 simple steps:\nStep 1:" -n 400 -e -ngl 99 -sm none -mg 0 --mmap
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```
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- Use multiple devices:
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```
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build\bin\llama-cli.exe -no-cnv -m models\llama-2-7b.Q4_0.gguf -p "Building a website can be done in 10 simple steps:\nStep 1:" -n 400 -e -ngl 99 -sm layer
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build\bin\llama-completion.exe -no-cnv -m models\llama-2-7b.Q4_0.gguf -p "Building a website can be done in 10 simple steps:\nStep 1:" -n 400 -e -ngl 99 -sm layer --mmap
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```
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@ -18,13 +18,14 @@ CONTEXT=4096
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#support malloc device memory more than 4GB.
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export UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS=1
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LOAD_MODE='--mmap'
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if [ $# -gt 0 ]; then
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GGML_SYCL_DEVICE=$1
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echo "use $GGML_SYCL_DEVICE as main GPU"
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#use signle GPU only
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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
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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 ${LOAD_MODE}
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else
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#use multiple GPUs with same max compute units
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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}
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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} ${LOAD_MODE}
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fi
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@ -1,31 +0,0 @@
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#!/usr/bin/env bash
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# MIT license
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# Copyright (C) 2025 Intel Corporation
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# SPDX-License-Identifier: MIT
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# If you want more control, DPC++ Allows selecting a specific device through the
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# following environment variable
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export ONEAPI_DEVICE_SELECTOR="level_zero:0"
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source /opt/intel/oneapi/setvars.sh
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#export GGML_SYCL_DEBUG=1
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#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.
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INPUT_PROMPT="Building a website can be done in 10 simple steps:\nStep 1:"
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MODEL_FILE=models/Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf
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NGL=99 # Layers offloaded to the GPU. If the device runs out of memory, reduce this value according to the model you are using.
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CONTEXT=4096
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#support malloc device memory more than 4GB.
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export UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS=1
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if [ $# -gt 0 ]; then
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GGML_SYCL_DEVICE=$1
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echo "Using $GGML_SYCL_DEVICE as the main GPU"
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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
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else
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#use multiple GPUs with same max compute units
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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}
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fi
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@ -0,0 +1,130 @@
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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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Help() {
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cat << EOF
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Usage: $(basename "$0") [OPTIONS]
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This script processes files with specified options.
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Options:
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-h, --help Display this help message and exit.
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-c, --context <value> Set context length. Bigger need more memory.
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-p, --promote <value> Prompt to start generation with.
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-m, --model <value> Full model file path.
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-mg,--main-gpu <value> Set main GPU ID (0 - n) for single GPU mode.
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-sm,--split-mode <value> How to split the model across multiple GPUs, one of:
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- none: use one GPU only
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- layer (default): split layers and KV across GPUs
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- row: split rows across GPUs
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-ngl,--n-gpu-layers <value> Max. number of layers to store in VRAM (default: -1)
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-lv,--log-verbosity <value> Set the verbosity threshold. Messages with a higher verbosity will be
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ignored. Values:
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- 0: generic output
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- 1: error
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- 2: warning
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- 3: info
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- 4: debug
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EOF
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}
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BIN_FILE=./build/bin/llama-completion
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SEED=0
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GPUS_SETTING=""
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INPUT_PROMPT="Building a website can be done in 10 simple steps:\nStep 1:"
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MODEL_FILE=models/llama-2-7b.Q4_0.gguf
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NGL=99
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CONTEXT=4096
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GGML_SYCL_DEVICE=-1
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SPLIT_MODE=layer
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LOG_VERBOSE=3
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while [[ $# -gt 0 ]]; do
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case "$1" in
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-c|--context)
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CONTEXT=$2
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# Shift twice to consume both the option flag and its value
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shift
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shift
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;;
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-p|--promote)
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# Option that is a simple flag (boolean)
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INPUT_PROMPT="$2"
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# Shift once to consume the option flag
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shift
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shift
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;;
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-m|--model)
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MODEL_FILE="$2"
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# Shift twice to consume both the option flag and its value
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shift
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shift
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;;
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-mg|--main-gpu)
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GGML_SYCL_DEVICE=$2
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SPLIT_MODE=none
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# Shift twice to consume both the option flag and its value
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shift
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shift
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;;
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-sm|--split-mode)
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SPLIT_MODE=$2
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# Shift twice to consume both the option flag and its value
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shift
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shift
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;;
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-ngl|--n-gpu-layers)
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NGL=$2
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# Shift twice to consume both the option flag and its value
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shift
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shift
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;;
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-lv|--log-verbosity)
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LOG_VERBOSE=$2
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# Shift twice to consume both the option flag and its value
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shift
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shift
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;;
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-h|--help)
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Help
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exit 0
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;;
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*)
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# Handle unknown options or stop processing options
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echo "Invalid option: $1"
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# Optional: exit script or shift to treat remaining as positional args
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exit 1
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;;
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esac
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done
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source /opt/intel/oneapi/setvars.sh
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#export GGML_SYCL_DEBUG=1
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#ZES_ENABLE_SYSMAN=1, Support to get free memory of GPU by sycl::aspect::ext_intel_free_memory. Recommended to use when --split-mode = layer.
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#support malloc device memory more than 4GB.
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export UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS=1
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echo "UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS=${UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS}"
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if [ $GGML_SYCL_DEVICE -ne -1 ]; then
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echo "Use $GGML_SYCL_DEVICE as main GPU"
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#use signle GPU only
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GPUS_SETTING="-mg $GGML_SYCL_DEVICE -sm ${SPLIT_MODE}"
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export ONEAPI_DEVICE_SELECTOR="level_zero:${$GGML_SYCL_DEVICE}"
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echo "ONEAPI_DEVICE_SELECTOR=${ONEAPI_DEVICE_SELECTOR}"
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else
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echo "Use all Intel GPUs, including iGPU & dGPU"
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fi
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echo "run cmd: ZES_ENABLE_SYSMAN=1 ${BIN_FILE} -m ${MODEL_FILE} -no-cnv -p "${INPUT_PROMPT}" -n 400 -e -ngl ${NGL} -s ${SEED} -c ${CONTEXT} ${GPUS_SETTING} -lv ${LOG_VERBOSE} --mmap "
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ZES_ENABLE_SYSMAN=1 ${BIN_FILE} -m ${MODEL_FILE} -no-cnv -p "${INPUT_PROMPT}" -n 400 -e -ngl ${NGL} -s ${SEED} -c ${CONTEXT} ${GPUS_SETTING} -lv ${LOG_VERBOSE} --mmap
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@ -7,5 +7,5 @@ set INPUT2="Building a website can be done in 10 simple steps:\nStep 1:"
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:: support malloc device memory more than 4GB.
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set UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS=1
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.\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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set LOAD_MODE="--mmap"
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.\build\bin\llama-completion.exe -m models\llama-2-7b.Q4_0.gguf -no-cnv -p %INPUT2% -n 400 -e -ngl 99 -s 0 %LOAD_MODE%
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@ -7,5 +7,5 @@ set INPUT2="Building a website can be done in 10 simple steps:\nStep 1:"
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:: support malloc device memory more than 4GB.
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set UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS=1
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.\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
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set LOAD_MODE="--mmap"
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.\build\bin\llama-completion.exe -m models\llama-2-7b.Q4_0.gguf -no-cnv -p %INPUT2% -n 400 -e -ngl 99 -s 0 %LOAD_MODE%
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