Files
llama.cpp/ci/run.sh
Zijun Yu 9789c4ecdc ggml : add OpenVINO backend (#15307)
* Update build doc

* Add cgraph tensor output name to OV op name

* Update openvino build instructions

* Add initial NPU support

* draft NPU support version 2: prefill + kvcache

* NPU support version 2: prefill + kvcache

* Change due to ggml cgraph changes, not correct yet

* Change due to ggml cgraph changes, llama-3.2 CPU work

* Add AMD64 to CMakeLists

* Change due to ggml cgraph changes, all device work

* Refactor: clean, fix warning

* Update clang-format

* Statful transformation for CPU GPU

* Add SwiGLU

* Fuse to SDPA

* Replace Concat with Broadcast in MulMat for GQA

* Pull out indices creation for kv cache update

* Refactor: remove past_token_len from extra_inputs

* Fix Phi3 SwiGLU and SoftMax

* Pull out sin cos from rope

* Reduce memory: free ov weights node after graph conversion

* Fix CPY due to cgraph change

* Added OpenVINO CI/CD. Updated docs

* Fix llama-cli

* Fix Phi3 ROPE; Add test-backend-ops

* Fix NPU

* Fix llama-bench; Clang-format

* Fix llama-perplexity

* temp. changes for mark decomp

* matmul in fp32

* mulmat input conversion fix

* mulmat type conversion update

* add mark decomp pass

* Revert changes in fuse_to_sdpa

* Update build.md

* Fix test-backend-ops

* Skip test-thread-safety; Run ctest only in ci/run.sh

* Use CiD for NPU

* Optimize tensor conversion, improve TTFT

* Support op SET_ROWS

* Fix NPU

* Remove CPY

* Fix test-backend-ops

* Minor updates for raising PR

* Perf: RMS fused to OV internal RMS op

* Fix after rebasing

- Layout of cache k and cache v are unified: [seq, n_head, head_size]
- Add CPY and FLASH_ATTN_EXT, flash attn is not used yet
- Skip test-backend-ops due to flash attn test crash
- Add mutex around graph conversion to avoid test-thread-safety fali in the future
- Update NPU config
- Update GPU config to disable SDPA opt to make phi-3 run

* Change openvino device_type to GPU; Enable flash_attn

* Update supports_buft and supports_op for quantized models

* Add quant weight conversion functions from genai gguf reader

* Quant models run with accuracy issue

* Fix accuracy: disable cpu_repack

* Fix CI; Disable test-backend-ops

* Fix Q4_1

* Fix test-backend-ops: Treat quantized tensors as weights

* Add NPU Q4_0 support

* NPU perf: eliminate zp

* Dequantize q4_1 q4_k q6_k for NPU

* Add custom quant type: q8_1_c, q4_0_128

* Set m_is_static=false as default in decoder

* Simpilfy translation of get_rows

* Fix after rebasing

* Improve debug util; Eliminate nop ReshapeReshape

* STYLE: make get_types_to_requant a function

* Support BF16 model

* Fix NPU compile

* WA for npu 1st token acc issue

* Apply EliminateZP only for npu

* Add GeGLU

* Fix Hunyuan

* Support iSWA

* Fix NPU accuracy

* Fix ROPE accuracy when freq_scale != 1

* Minor: not add attention_size_swa for non-swa model

* Minor refactor

* Add Q5_K to support phi-3-q4_k_m

* Requantize Q6_K (gs16) to gs32 on GPU

* Fix after rebasing

* Always apply Eliminate_ZP to fix GPU compile issue on some platforms

* kvcachefusion support

* env variable GGML_OPENVINO_DISABLE_SDPA_OPTIMIZATION added

* Fix for Phi3

* Fix llama-cli (need to run with --no-warmup)

* Fix add_sliced_mask; Revert mulmat, softmax; Remove input attention_size, iSWA model not working

* fix after rebasing

* Fix llama-3-8b and phi3-mini q4_0 NPU

* Update to OV-2025.3 and CMakeLists.txt

* Add OV CI cache

* Apply CISC review and update CI to OV2025.3

* Update CI to run OV dep install before build

* Update OV dockerfile to use OV2025.3 and update build docs

* Style: use switch in supports_ops

* Style: middle ptr and ref align, omit optional struct keyword

* NPU Unify PD (#14)

* Stateless. Fix llama-cli llama-server

* Simplify broadcast op in attention

* Replace get_output_tensor+memcpy with set_output_tensor

* NPU unify PD. Unify dynamic and static dims

* Clean placeholders in ggml-openvino.cpp

* NPU unify PD (handled internally)

* change graph to 4d, support multi sequences

* Fix llama-bench

* Fix NPU

* Update ggml-decoder.cpp

Hitting error while compiling on windows:

error C3861: 'unsetenv': identifier not found

Reason: unsetenv() is a POSIX function; it doesn’t exist on Windows. Visual Studio (MSVC) won’t recognize it.

Proposed fix: Use _putenv_s() (Windows equivalent)
This is supported by MSVC and achieves the same effect: it removes the environment variable from the process environment.

This keeps cross-platform compatibility.

* Update ggml-decoder.cpp

* Update ggml-decoder.cpp

* Update ggml-decoder.cpp

* Update ggml-decoder.cpp

* Update ggml-decoder.cpp

* Remove the second decoder for node. Moving the function into the model decoder

* Fix error for naive

* NPU prefill chunking

* NPU fix llama-bench

* fallback naive run with accuracy issue

* NPU support llma-perplexity -b 512 --no-warmup

* Refactor: split ov_graph_compute for dynamic and static

* remove unused API GgmlOvDecoder::get_output_stride(const std::string & name)

* minor update due to ov 2025.4

* remove unused API GgmlOvDecoder::get_output_names()

* remove unused API get_output_shape(const std::string & name)

* Modified API GgmlOvDecoder::get_output_type(const std::string & name)

* Removed API GgmlOvDecoder::get_output_op_params(const std::string & name)

* Removed API get_output_ggml_tensor(const std::string & name)

* Removed API m_outputs

* Removed m_output_names

* Removed API GgmlOvDecoder::get_input_names()

* Removed API GgmlOvDecoder::get_input_stride(const std::string& name)

* Removed API get_input_type

* Removed API get_input_type

* Removed API GgmlOvDecoder::get_input_shape(const std::string & name)

* Removed API GgmlOvDecoder::get_input_op_params(const std::string & name)

* Fix error for decoder cache

* Reuse cached decoder

* GPU remove Q6_K requantization

* NPU fix wrong model output shape

* NPU fix q4 perf regression

* Remove unused variable nodes

* Fix decoder can_reuse for llama-bench

* Update build.md for Windows

* backend buffer: allocate on host

* Use shared_buffer for GPU NPU; Refactor

* Add ov_backend_host_buffer; Use cached remote context

* Put kvcache on GPU

* Use ggml_aligned_malloc

* only use remote tensor for kvcache

* only use remote tensor for kvcache for GPU

* FIX: use remote tensor from singleton

* Update build.md to include OpenCL

* NPU always requant to q4_0_128

* Optimize symmetric quant weight extraction: use single zp

* Use Q8_0_C in token embd, lm_head, and for 5 and 6 bits quant

* Update build.md

* Support -ctk f32

* Initial stateful graph support

* Update ggml/src/ggml-openvino/ggml-decoder.cpp

Co-authored-by: Yamini Nimmagadda <yamini.nimmagadda@intel.com>

* code cleanup

* npu perf fix

* requant to f16 for Q6 embed on NPU

* Update ggml/src/ggml-openvino/ggml-decoder.cpp

* Update ggml/src/ggml-openvino/ggml-openvino-extra.cpp

* Create OPENVINO.md in llama.cpp backend docs

* Update OPENVINO.md

* Update OPENVINO.md

* Update OPENVINO.md

* Update build.md

* Update OPENVINO.md

* Update OPENVINO.md

* Update OPENVINO.md

* kq_mask naming fix

* Syntax correction for workflows build file

* Change ov backend buffer is_host to false

* Fix llama-bench -p -n where p<=256

* Fix --direct-io 0

* Don't put kvcache on GPU in stateful mode

* Remove hardcode names

* Fix stateful shapes

* Simplification for stateful and update output shape processing

* Remove hardcode names

* Avoid re-compilation in llama-bench

* Extract zp directly instead of bias

* Refactor weight tensor processing

* create_weight_node accept non-ov backend buffer

* remove changes in llama-graph.cpp

* stateful masking fix (#38)

Fix for stateful accuracy issues and cl_out_of_resources error in stateful GPU with larger context sizes.

* Fix test-backend-ops crash glu, get_rows, scale, rms_norm, add

* hardcoded name handling for rope_freqs.weight

* Suppress logging and add error handling to allow test-backend-ops to complete

* Fix MUL_MAT with broadcast; Add unsupported MUL_MAT FLASH_ATTN cases

* Use bias instead of zp in test-backend-ops

* Update OV in CI, Add OV CI Tests in GH Actions

* Temp fix for multithreading bug

* Update OV CI, fix review suggestions.

* fix editorconfig-checker, update docs

* Fix tabs to spaces for editorconfig-checker

* fix editorconfig-checker

* Update docs

* updated model link to be GGUF model links

* Remove GGML_CPU_REPACK=OFF

* Skip permuted ADD and MUL

* Removed static variables from utils.cpp

* Removed initializing non-existing variable

* Remove unused structs

* Fix test-backend-ops for OV GPU

* unify api calling

* Update utils.cpp

* When the dim is dynamic, throw an error, need to is stastic forst

* Add interface compute_model_outputs(), which get the model output through computing the node use count & status in the cgraph to avoid the flag using

* No need to return

* Fix test-backend-ops for OV GPU LNL

* Fix test-thread-safety

* use the shape from infer request of output tensor create to avoid issue

* fix dynamic output shape  issue

* fix issue for the unused node in tests

* Remove unused lock

* Add comment

* Update openvino docs

* update to OV release version 2026.0

* add ci ov-gpu self hosted runner

* fix editorconfig

* Fix perplexity

* Rewrite the model inputs finding mechanism  (#54)

* Rewrite the model inputs finding logistic

* Put stateful shape handle in get input shape

* Put the iteration logistic in func

* Added ggml-ci-intel-openvino-gpu and doc update

* .hpp files converted to .h

* fix ggml-ci-x64-intel-openvino-gpu

* Fix for stateful execution bug in llama-bench

* Minor updates after stateful llama-bench fix

* Update ggml/src/ggml-openvino/utils.cpp

Co-authored-by: Yamini Nimmagadda <yamini.nimmagadda@intel.com>

* Remove multiple get_shape calls

* Bring back mutex into compute

* Fix VIEW op, which slice the input node

* Added token_len_per_seq existence check before slicing masks and moved node retrieval inside guarded block to prevent missing-key access

* Temp. fix for test requant errors

* Update to OV ggml-ci to low-perf

* ci : temporary disable "test-llama-archs"

* ci : cache v4 -> v5, checkout v4 -> v6, fix runner tag

* docs : update url

* Fix OV link in docker and Update docs

---------

Co-authored-by: Ravi Panchumarthy <ravi.panchumarthy@intel.com>
Co-authored-by: Cavus Mustafa <mustafa.cavus@intel.com>
Co-authored-by: Arshath <arshath.ramzan@intel.com>
Co-authored-by: XuejunZhai <Xuejun.Zhai@intel.com>
Co-authored-by: Yamini Nimmagadda <yamini.nimmagadda@intel.com>
Co-authored-by: Xuejun Zhai <Xuejun.Zhai@intel>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2026-03-14 07:56:55 +02:00

726 lines
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#!/usr/bin/env bash
#
# sample usage:
#
# mkdir tmp
#
# # CPU-only build
# bash ./ci/run.sh ./tmp/results ./tmp/mnt
#
# # with CUDA support
# GG_BUILD_CUDA=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt
#
# # with SYCL support
# GG_BUILD_SYCL=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt
#
# # with VULKAN support
# GG_BUILD_VULKAN=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt
#
# # with WebGPU support
# GG_BUILD_WEBGPU=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt
#
# # with MUSA support
# GG_BUILD_MUSA=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt
#
# # with KLEIDIAI support
# GG_BUILD_KLEIDIAI=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt
#
# # with OPENVINO support
# GG_BUILD_OPENVINO=1 GG_BUILD_LOW_PERF=1 GGML_OPENVINO_DEVICE=CPU bash ./ci/run.sh ./tmp/results ./tmp/mnt
#
if [ -z "$2" ]; then
echo "usage: $0 <output-dir> <mnt-dir>"
exit 1
fi
mkdir -p "$1"
mkdir -p "$2"
OUT=$(realpath "$1")
MNT=$(realpath "$2")
rm -f $OUT/*.log
rm -f $OUT/*.exit
rm -f $OUT/*.md
sd=`dirname $0`
cd $sd/../
SRC=`pwd`
CMAKE_EXTRA="-DLLAMA_FATAL_WARNINGS=${LLAMA_FATAL_WARNINGS:-ON} -DLLAMA_OPENSSL=OFF -DGGML_SCHED_NO_REALLOC=ON"
CTEST_EXTRA=""
if [ ! -z ${GG_BUILD_METAL} ]; then
CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_METAL=ON"
fi
if [ ! -z ${GG_BUILD_CUDA} ]; then
# TODO: Remove GGML_CUDA_CUB_3DOT2 flag once CCCL 3.2 is bundled within CTK and that CTK version is used in this project
CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_CUDA=ON -DGGML_CUDA_CUB_3DOT2=ON"
if command -v nvidia-smi >/dev/null 2>&1; then
CUDA_ARCH=$(nvidia-smi --query-gpu=compute_cap --format=csv,noheader,nounits 2>/dev/null | head -1 | tr -d '.')
if [[ -n "$CUDA_ARCH" && "$CUDA_ARCH" =~ ^[0-9]+$ ]]; then
CMAKE_EXTRA="${CMAKE_EXTRA} -DCMAKE_CUDA_ARCHITECTURES=${CUDA_ARCH}"
else
echo "Warning: Using fallback CUDA architectures"
CMAKE_EXTRA="${CMAKE_EXTRA} -DCMAKE_CUDA_ARCHITECTURES=61;70;75;80;86;89"
fi
else
echo "Error: nvidia-smi not found, cannot build with CUDA"
exit 1
fi
fi
if [ ! -z ${GG_BUILD_ROCM} ]; then
CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_HIP=ON"
if [ -z ${GG_BUILD_AMDGPU_TARGETS} ]; then
echo "Missing GG_BUILD_AMDGPU_TARGETS, please set it to your GPU architecture (e.g. gfx90a, gfx1100, etc.)"
exit 1
fi
CMAKE_EXTRA="${CMAKE_EXTRA} -DGPU_TARGETS=${GG_BUILD_AMDGPU_TARGETS}"
fi
if [ ! -z ${GG_BUILD_SYCL} ]; then
if [ -z ${ONEAPI_ROOT} ]; then
echo "Not detected ONEAPI_ROOT, please install oneAPI base toolkit and enable it by:"
echo "source /opt/intel/oneapi/setvars.sh"
exit 1
fi
# Use only main GPU
export ONEAPI_DEVICE_SELECTOR="level_zero:0"
# Enable sysman for correct memory reporting
export ZES_ENABLE_SYSMAN=1
# to circumvent precision issues on CPY operations
export SYCL_PROGRAM_COMPILE_OPTIONS="-cl-fp32-correctly-rounded-divide-sqrt"
CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_SYCL=1 -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DGGML_SYCL_F16=ON"
fi
if [ ! -z ${GG_BUILD_VULKAN} ]; then
CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_VULKAN=1"
# if on Mac, disable METAL
if [[ "$OSTYPE" == "darwin"* ]]; then
CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_METAL=OFF -DGGML_BLAS=OFF"
fi
fi
if [ ! -z ${GG_BUILD_WEBGPU} ]; then
CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_WEBGPU=1 -DGGML_METAL=OFF -DGGML_BLAS=OFF"
if [ ! -z "${GG_BUILD_WEBGPU_DAWN_PREFIX}" ]; then
if [ -z "${CMAKE_PREFIX_PATH}" ]; then
export CMAKE_PREFIX_PATH="${GG_BUILD_WEBGPU_DAWN_PREFIX}"
else
export CMAKE_PREFIX_PATH="${GG_BUILD_WEBGPU_DAWN_PREFIX}:${CMAKE_PREFIX_PATH}"
fi
fi
# For some systems, Dawn_DIR needs to be set explicitly, e.g., the lib64 path
if [ ! -z "${GG_BUILD_WEBGPU_DAWN_DIR}" ]; then
CMAKE_EXTRA="${CMAKE_EXTRA} -DDawn_DIR=${GG_BUILD_WEBGPU_DAWN_DIR}"
fi
fi
if [ ! -z ${GG_BUILD_MUSA} ]; then
# Use qy1 by default (MTT S80)
MUSA_ARCH=${MUSA_ARCH:-21}
CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_MUSA=ON -DMUSA_ARCHITECTURES=${MUSA_ARCH}"
fi
if [ ! -z ${GG_BUILD_NO_SVE} ]; then
# arm 9 and newer enables sve by default, adjust these flags depending on the cpu used
CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_NATIVE=OFF -DGGML_CPU_ARM_ARCH=armv8.5-a+fp16+i8mm"
fi
if [ -n "${GG_BUILD_KLEIDIAI}" ]; then
echo ">>===== Enabling KleidiAI support"
CANDIDATES=(
"armv9-a+dotprod+i8mm+sve2"
"armv9-a+dotprod+i8mm"
"armv8.6-a+dotprod+i8mm"
"armv8.2-a+dotprod"
)
CPU=""
for cpu in "${CANDIDATES[@]}"; do
if echo 'int main(){}' | ${CXX:-c++} -march="$cpu" -x c++ - -c -o /dev/null >/dev/null 2>&1; then
CPU="$cpu"
break
fi
done
if [ -z "$CPU" ]; then
echo "ERROR: None of the required ARM baselines (armv9/armv8.6/armv8.2 + dotprod) are supported by this compiler."
exit 1
fi
echo ">>===== Using ARM baseline: ${CPU}"
CMAKE_EXTRA="${CMAKE_EXTRA:+$CMAKE_EXTRA } \
-DGGML_NATIVE=OFF \
-DGGML_CPU_KLEIDIAI=ON \
-DGGML_CPU_AARCH64=ON \
-DGGML_CPU_ARM_ARCH=${CPU} \
-DBUILD_SHARED_LIBS=OFF"
fi
if [ ! -z ${GG_BUILD_OPENVINO} ]; then
if [ -z ${OpenVINO_DIR} ]; then
echo "OpenVINO_DIR not found, please install OpenVINO via archives and enable it by:"
echo "source /opt/intel/openvino/setupvars.sh"
exit 1
fi
CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_OPENVINO=ON"
# TODO: fix and re-enable the `test-llama-archs` test below
CTEST_EXTRA="-E test-llama-archs"
fi
## helpers
# download a file if it does not exist or if it is outdated
function gg_wget {
local out=$1
local url=$2
local cwd=`pwd`
mkdir -p $out
cd $out
# should not re-download if file is the same
wget -nv -c -N $url
cd $cwd
}
function gg_printf {
printf -- "$@" >> $OUT/README.md
}
function gg_run {
ci=$1
set -o pipefail
set -x
gg_run_$ci | tee $OUT/$ci.log
cur=$?
echo "$cur" > $OUT/$ci.exit
set +x
set +o pipefail
gg_sum_$ci
ret=$((ret | cur))
}
## ci
# ctest_debug
function gg_run_ctest_debug {
cd ${SRC}
rm -rf build-ci-debug && mkdir build-ci-debug && cd build-ci-debug
set -e
# Check cmake, make and ctest are installed
gg_check_build_requirements
(time cmake -DCMAKE_BUILD_TYPE=Debug ${CMAKE_EXTRA} .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
(time make -j$(nproc) ) 2>&1 | tee -a $OUT/${ci}-make.log
(time ctest --output-on-failure -L main -E "test-opt|test-backend-ops" ${CTEST_EXTRA}) 2>&1 | tee -a $OUT/${ci}-ctest.log
set +e
}
function gg_sum_ctest_debug {
gg_printf '### %s\n\n' "${ci}"
gg_printf 'Runs ctest in debug mode\n'
gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)"
gg_printf '```\n'
gg_printf '%s\n' "$(cat $OUT/${ci}-ctest.log)"
gg_printf '```\n'
gg_printf '\n'
}
# ctest_release
function gg_run_ctest_release {
cd ${SRC}
rm -rf build-ci-release && mkdir build-ci-release && cd build-ci-release
set -e
# Check cmake, make and ctest are installed
gg_check_build_requirements
(time cmake -DCMAKE_BUILD_TYPE=Release ${CMAKE_EXTRA} .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
(time make -j$(nproc) ) 2>&1 | tee -a $OUT/${ci}-make.log
if [ -z ${GG_BUILD_LOW_PERF} ]; then
(time ctest --output-on-failure -L 'main|python' ${CTEST_EXTRA}) 2>&1 | tee -a $OUT/${ci}-ctest.log
else
(time ctest --output-on-failure -L main -E test-opt ${CTEST_EXTRA}) 2>&1 | tee -a $OUT/${ci}-ctest.log
fi
set +e
}
function gg_sum_ctest_release {
gg_printf '### %s\n\n' "${ci}"
gg_printf 'Runs ctest in release mode\n'
gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)"
gg_printf '```\n'
gg_printf '%s\n' "$(cat $OUT/${ci}-ctest.log)"
gg_printf '```\n'
}
# test_scripts
function gg_run_test_scripts {
cd ${SRC}
set -e
(cd ./tools/gguf-split && time bash tests.sh "$SRC/build-ci-release/bin" "$MNT/models") 2>&1 | tee -a $OUT/${ci}-scripts.log
(cd ./tools/quantize && time bash tests.sh "$SRC/build-ci-release/bin" "$MNT/models") 2>&1 | tee -a $OUT/${ci}-scripts.log
set +e
}
function gg_sum_test_scripts {
gg_printf '### %s\n\n' "${ci}"
gg_printf 'Runs test scripts\n'
gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)"
gg_printf '```\n'
gg_printf '%s\n' "$(cat $OUT/${ci}-scripts.log)"
gg_printf '```\n'
gg_printf '\n'
}
function gg_get_model {
#local gguf_0="$MNT/models/qwen3/0.6B/ggml-model-f16.gguf"
local gguf_0="$MNT/models/qwen3/0.6B/ggml-model-q4_0.gguf"
if [[ -s $gguf_0 ]]; then
echo -n "$gguf_0"
else
echo >&2 "No model found. Can't run gg_run_ctest_with_model."
exit 1
fi
}
function gg_run_ctest_with_model_debug {
cd ${SRC}
local model; model=$(gg_get_model)
cd build-ci-debug
set -e
(LLAMACPP_TEST_MODELFILE="$model" time ctest --output-on-failure -L model) 2>&1 | tee -a $OUT/${ci}-ctest.log
set +e
cd ..
}
function gg_run_ctest_with_model_release {
cd ${SRC}
local model; model=$(gg_get_model)
cd build-ci-release
set -e
(LLAMACPP_TEST_MODELFILE="$model" time ctest --output-on-failure -L model) 2>&1 | tee -a $OUT/${ci}-ctest.log
# test memory leaks
#if [[ ! -z ${GG_BUILD_METAL} ]]; then
# # TODO: this hangs for some reason ...
# (time leaks -quiet -atExit -- ./bin/test-thread-safety -m $model --parallel 2 -t 2 -p "hello") 2>&1 | tee -a $OUT/${ci}-leaks.log
#fi
set +e
cd ..
}
function gg_sum_ctest_with_model_debug {
gg_printf '### %s\n\n' "${ci}"
gg_printf 'Runs ctest with model files in debug mode\n'
gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)"
gg_printf '```\n'
gg_printf '%s\n' "$(cat $OUT/${ci}-ctest.log)"
gg_printf '```\n'
}
function gg_sum_ctest_with_model_release {
gg_printf '### %s\n\n' "${ci}"
gg_printf 'Runs ctest with model files in release mode\n'
gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)"
gg_printf '```\n'
gg_printf '%s\n' "$(cat $OUT/${ci}-ctest.log)"
gg_printf '```\n'
}
# qwen3_0_6b
function gg_run_qwen3_0_6b {
cd ${SRC}
gg_wget models-mnt/qwen3/0.6B/ https://huggingface.co/Qwen/Qwen3-0.6B-Base/raw/main/config.json
gg_wget models-mnt/qwen3/0.6B/ https://huggingface.co/Qwen/Qwen3-0.6B-Base/raw/main/tokenizer.json
gg_wget models-mnt/qwen3/0.6B/ https://huggingface.co/Qwen/Qwen3-0.6B-Base/raw/main/tokenizer_config.json
#gg_wget models-mnt/qwen3/0.6B/ https://huggingface.co/Qwen/Qwen3-0.6B-Base/raw/main/special_tokens_map.json
gg_wget models-mnt/qwen3/0.6B/ https://huggingface.co/Qwen/Qwen3-0.6B-Base/resolve/main/model.safetensors
gg_wget models-mnt/wikitext/ https://huggingface.co/datasets/ggml-org/ci/resolve/main/wikitext-2-raw-v1.zip
unzip -o models-mnt/wikitext/wikitext-2-raw-v1.zip -d models-mnt/wikitext/
path_models="../models-mnt/qwen3/0.6B"
path_wiki="../models-mnt/wikitext/wikitext-2-raw"
rm -rf build-ci-release && mkdir build-ci-release && cd build-ci-release
set -e
(time cmake -DCMAKE_BUILD_TYPE=Release ${CMAKE_EXTRA} .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
(time make -j$(nproc) ) 2>&1 | tee -a $OUT/${ci}-make.log
python3 ../convert_hf_to_gguf.py ${path_models} --outfile ${path_models}/ggml-model-f16.gguf --outtype f16
python3 ../convert_hf_to_gguf.py ${path_models} --outfile ${path_models}/ggml-model-bf16.gguf --outtype bf16
model_f16="${path_models}/ggml-model-f16.gguf"
model_bf16="${path_models}/ggml-model-bf16.gguf"
model_q8_0="${path_models}/ggml-model-q8_0.gguf"
model_q4_0="${path_models}/ggml-model-q4_0.gguf"
model_q4_1="${path_models}/ggml-model-q4_1.gguf"
model_q5_0="${path_models}/ggml-model-q5_0.gguf"
model_q5_1="${path_models}/ggml-model-q5_1.gguf"
model_q2_k="${path_models}/ggml-model-q2_k.gguf"
model_q3_k="${path_models}/ggml-model-q3_k.gguf"
model_q4_k="${path_models}/ggml-model-q4_k.gguf"
model_q5_k="${path_models}/ggml-model-q5_k.gguf"
model_q6_k="${path_models}/ggml-model-q6_k.gguf"
wiki_test="${path_wiki}/wiki.test.raw"
./bin/llama-quantize ${model_bf16} ${model_q8_0} q8_0 $(nproc)
./bin/llama-quantize ${model_bf16} ${model_q4_0} q4_0 $(nproc)
./bin/llama-quantize ${model_bf16} ${model_q4_1} q4_1 $(nproc)
./bin/llama-quantize ${model_bf16} ${model_q5_0} q5_0 $(nproc)
./bin/llama-quantize ${model_bf16} ${model_q5_1} q5_1 $(nproc)
./bin/llama-quantize ${model_bf16} ${model_q2_k} q2_k $(nproc)
./bin/llama-quantize ${model_bf16} ${model_q3_k} q3_k $(nproc)
./bin/llama-quantize ${model_bf16} ${model_q4_k} q4_k $(nproc)
./bin/llama-quantize ${model_bf16} ${model_q5_k} q5_k $(nproc)
./bin/llama-quantize ${model_bf16} ${model_q6_k} q6_k $(nproc)
(time ./bin/llama-fit-params --model ${model_f16} 2>&1 | tee -a $OUT/${ci}-fp-f16.log)
(time ./bin/llama-completion -no-cnv --model ${model_f16} -ngl 99 -c 1024 -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log
(time ./bin/llama-completion -no-cnv --model ${model_bf16} -ngl 99 -c 1024 -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-bf16.log
(time ./bin/llama-completion -no-cnv --model ${model_q8_0} -ngl 99 -c 1024 -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log
(time ./bin/llama-completion -no-cnv --model ${model_q4_0} -ngl 99 -c 1024 -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_0.log
(time ./bin/llama-completion -no-cnv --model ${model_q4_1} -ngl 99 -c 1024 -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_1.log
(time ./bin/llama-completion -no-cnv --model ${model_q5_0} -ngl 99 -c 1024 -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_0.log
(time ./bin/llama-completion -no-cnv --model ${model_q5_1} -ngl 99 -c 1024 -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_1.log
(time ./bin/llama-completion -no-cnv --model ${model_q2_k} -ngl 99 -c 1024 -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q2_k.log
(time ./bin/llama-completion -no-cnv --model ${model_q3_k} -ngl 99 -c 1024 -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q3_k.log
(time ./bin/llama-completion -no-cnv --model ${model_q4_k} -ngl 99 -c 1024 -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_k.log
(time ./bin/llama-completion -no-cnv --model ${model_q5_k} -ngl 99 -c 1024 -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_k.log
(time ./bin/llama-completion -no-cnv --model ${model_q6_k} -ngl 99 -c 1024 -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q6_k.log
(time ./bin/llama-perplexity --model ${model_f16} -f ${wiki_test} -ngl 99 -c 1024 -b 512 --chunks 2 ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log
if [ -z ${GG_BUILD_NO_BF16} ]; then
(time ./bin/llama-perplexity --model ${model_bf16} -f ${wiki_test} -ngl 99 -c 1024 -b 512 --chunks 2 ) 2>&1 | tee -a $OUT/${ci}-tg-bf16.log
fi
(time ./bin/llama-perplexity --model ${model_q8_0} -f ${wiki_test} -ngl 99 -c 1024 -b 512 --chunks 2 ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log
(time ./bin/llama-perplexity --model ${model_q4_0} -f ${wiki_test} -ngl 99 -c 1024 -b 512 --chunks 2 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_0.log
(time ./bin/llama-perplexity --model ${model_q4_1} -f ${wiki_test} -ngl 99 -c 1024 -b 512 --chunks 2 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_1.log
(time ./bin/llama-perplexity --model ${model_q5_0} -f ${wiki_test} -ngl 99 -c 1024 -b 512 --chunks 2 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_0.log
(time ./bin/llama-perplexity --model ${model_q5_1} -f ${wiki_test} -ngl 99 -c 1024 -b 512 --chunks 2 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_1.log
(time ./bin/llama-perplexity --model ${model_q2_k} -f ${wiki_test} -ngl 99 -c 1024 -b 512 --chunks 2 ) 2>&1 | tee -a $OUT/${ci}-tg-q2_k.log
(time ./bin/llama-perplexity --model ${model_q3_k} -f ${wiki_test} -ngl 99 -c 1024 -b 512 --chunks 2 ) 2>&1 | tee -a $OUT/${ci}-tg-q3_k.log
(time ./bin/llama-perplexity --model ${model_q4_k} -f ${wiki_test} -ngl 99 -c 1024 -b 512 --chunks 2 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_k.log
(time ./bin/llama-perplexity --model ${model_q5_k} -f ${wiki_test} -ngl 99 -c 1024 -b 512 --chunks 2 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_k.log
(time ./bin/llama-perplexity --model ${model_q6_k} -f ${wiki_test} -ngl 99 -c 1024 -b 512 --chunks 2 ) 2>&1 | tee -a $OUT/${ci}-tg-q6_k.log
(time ./bin/llama-imatrix --model ${model_f16} -f ${wiki_test} -ngl 99 -c 1024 -b 512 --chunks 2 ) 2>&1 | tee -a $OUT/${ci}-imatrix.log
(time ./bin/llama-save-load-state --model ${model_q4_0} -ngl 10 -c 1024 -fa off --no-op-offload) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
(time ./bin/llama-save-load-state --model ${model_q4_0} -ngl 10 -c 1024 -fa on --no-op-offload) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
(time ./bin/llama-save-load-state --model ${model_q4_0} -ngl 99 -c 1024 -fa off ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
(time ./bin/llama-save-load-state --model ${model_q4_0} -ngl 99 -c 1024 -fa on ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
function check_ppl {
qnt="$1"
ppl=$(echo "$2" | grep -oE "[0-9]+\.[0-9]+" | tail -n 1)
if [ $(echo "$ppl > 20.0" | bc) -eq 1 ]; then
printf ' - %s @ %s (FAIL: ppl > 20.0)\n' "$qnt" "$ppl"
return 20
fi
printf ' - %s @ %s OK\n' "$qnt" "$ppl"
return 0
}
check_ppl "f16" "$(cat $OUT/${ci}-tg-f16.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
if [ -z ${GG_BUILD_NO_BF16} ]; then
check_ppl "bf16" "$(cat $OUT/${ci}-tg-bf16.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
fi
check_ppl "q8_0" "$(cat $OUT/${ci}-tg-q8_0.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
check_ppl "q4_0" "$(cat $OUT/${ci}-tg-q4_0.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
check_ppl "q4_1" "$(cat $OUT/${ci}-tg-q4_1.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
check_ppl "q5_0" "$(cat $OUT/${ci}-tg-q5_0.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
check_ppl "q5_1" "$(cat $OUT/${ci}-tg-q5_1.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
#check_ppl "q2_k" "$(cat $OUT/${ci}-tg-q2_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log # note: ppl > 20.0 for this quant and model
check_ppl "q3_k" "$(cat $OUT/${ci}-tg-q3_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
check_ppl "q4_k" "$(cat $OUT/${ci}-tg-q4_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
check_ppl "q5_k" "$(cat $OUT/${ci}-tg-q5_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
check_ppl "q6_k" "$(cat $OUT/${ci}-tg-q6_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
cat $OUT/${ci}-imatrix.log | grep "Final" >> $OUT/${ci}-imatrix-sum.log
set +e
}
function gg_sum_qwen3_0_6b {
gg_printf '### %s\n\n' "${ci}"
gg_printf 'Qwen3 0.6B:\n'
gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)"
gg_printf '- perplexity:\n%s\n' "$(cat $OUT/${ci}-ppl.log)"
gg_printf '- imatrix:\n```\n%s\n```\n' "$(cat $OUT/${ci}-imatrix-sum.log)"
gg_printf '- f16:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-f16.log)"
if [ -z ${GG_BUILD_NO_BF16} ]; then
gg_printf '- bf16:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-bf16.log)"
fi
gg_printf '- q8_0:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q8_0.log)"
gg_printf '- q4_0:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q4_0.log)"
gg_printf '- q4_1:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q4_1.log)"
gg_printf '- q5_0:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q5_0.log)"
gg_printf '- q5_1:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q5_1.log)"
gg_printf '- q2_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q2_k.log)"
gg_printf '- q3_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q3_k.log)"
gg_printf '- q4_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q4_k.log)"
gg_printf '- q5_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q5_k.log)"
gg_printf '- q6_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q6_k.log)"
gg_printf '- save-load-state: \n```\n%s\n```\n' "$(cat $OUT/${ci}-save-load-state.log)"
}
# bge-small
function gg_run_embd_bge_small {
cd ${SRC}
gg_wget models-mnt/bge-small/ https://huggingface.co/BAAI/bge-small-en-v1.5/raw/main/config.json
gg_wget models-mnt/bge-small/ https://huggingface.co/BAAI/bge-small-en-v1.5/raw/main/tokenizer.json
gg_wget models-mnt/bge-small/ https://huggingface.co/BAAI/bge-small-en-v1.5/raw/main/tokenizer_config.json
gg_wget models-mnt/bge-small/ https://huggingface.co/BAAI/bge-small-en-v1.5/raw/main/special_tokens_map.json
gg_wget models-mnt/bge-small/ https://huggingface.co/BAAI/bge-small-en-v1.5/resolve/main/pytorch_model.bin
gg_wget models-mnt/bge-small/ https://huggingface.co/BAAI/bge-small-en-v1.5/raw/main/sentence_bert_config.json
gg_wget models-mnt/bge-small/ https://huggingface.co/BAAI/bge-small-en-v1.5/raw/main/vocab.txt
gg_wget models-mnt/bge-small/ https://huggingface.co/BAAI/bge-small-en-v1.5/raw/main/modules.json
gg_wget models-mnt/bge-small/ https://huggingface.co/BAAI/bge-small-en-v1.5/raw/main/config.json
gg_wget models-mnt/bge-small/1_Pooling https://huggingface.co/BAAI/bge-small-en-v1.5/raw/main/1_Pooling/config.json
path_models="../models-mnt/bge-small"
rm -rf build-ci-release && mkdir build-ci-release && cd build-ci-release
set -e
(time cmake -DCMAKE_BUILD_TYPE=Release ${CMAKE_EXTRA} .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
(time make -j$(nproc) ) 2>&1 | tee -a $OUT/${ci}-make.log
python3 ../convert_hf_to_gguf.py ${path_models} --outfile ${path_models}/ggml-model-f16.gguf
model_f16="${path_models}/ggml-model-f16.gguf"
model_q8_0="${path_models}/ggml-model-q8_0.gguf"
./bin/llama-quantize ${model_f16} ${model_q8_0} q8_0
(time ./bin/llama-fit-params --model ${model_f16} 2>&1 | tee -a $OUT/${ci}-fp-f16.log)
(time ./bin/llama-embedding --model ${model_f16} -p "I believe the meaning of life is" -ngl 99 -c 0 --no-op-offload) 2>&1 | tee -a $OUT/${ci}-tg-f16.log
(time ./bin/llama-embedding --model ${model_q8_0} -p "I believe the meaning of life is" -ngl 99 -c 0 --no-op-offload) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log
set +e
}
function gg_sum_embd_bge_small {
gg_printf '### %s\n\n' "${ci}"
gg_printf 'BGE Small (BERT):\n'
gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)"
gg_printf '- f16: \n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-f16.log)"
gg_printf '- q8_0:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q8_0.log)"
}
# rerank_tiny
function gg_run_rerank_tiny {
cd ${SRC}
gg_wget models-mnt/rerank-tiny/ https://huggingface.co/jinaai/jina-reranker-v1-tiny-en/raw/main/config.json
gg_wget models-mnt/rerank-tiny/ https://huggingface.co/jinaai/jina-reranker-v1-tiny-en/raw/main/tokenizer.json
gg_wget models-mnt/rerank-tiny/ https://huggingface.co/jinaai/jina-reranker-v1-tiny-en/raw/main/tokenizer_config.json
gg_wget models-mnt/rerank-tiny/ https://huggingface.co/jinaai/jina-reranker-v1-tiny-en/raw/main/special_tokens_map.json
gg_wget models-mnt/rerank-tiny/ https://huggingface.co/jinaai/jina-reranker-v1-tiny-en/resolve/main/pytorch_model.bin
gg_wget models-mnt/rerank-tiny/ https://huggingface.co/jinaai/jina-reranker-v1-tiny-en/raw/main/vocab.json
path_models="../models-mnt/rerank-tiny"
rm -rf build-ci-release && mkdir build-ci-release && cd build-ci-release
set -e
(time cmake -DCMAKE_BUILD_TYPE=Release ${CMAKE_EXTRA} .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
(time make -j$(nproc) ) 2>&1 | tee -a $OUT/${ci}-make.log
python3 ../convert_hf_to_gguf.py ${path_models} --outfile ${path_models}/ggml-model-f16.gguf
model_f16="${path_models}/ggml-model-f16.gguf"
(time ./bin/llama-fit-params --model ${model_f16} 2>&1 | tee -a $OUT/${ci}-fp-f16.log)
# for this model, the SEP token is "</s>"
(time ./bin/llama-embedding --model ${model_f16} -p "what is panda?\thi\nwhat is panda?\tit's a bear\nwhat is panda?\tThe giant panda (Ailuropoda melanoleuca), sometimes called a panda bear or simply panda, is a bear species endemic to China." -ngl 99 -c 0 --pooling rank --embd-normalize -1 --no-op-offload --verbose-prompt) 2>&1 | tee -a $OUT/${ci}-rk-f16.log
# sample output
# rerank score 0: 0.029
# rerank score 1: 0.029
# rerank score 2: 0.135
# check that the score is in the range [$3, $4]
function check_score {
qnt="$1"
score=$(echo "$2" | grep -oE "[0-9]+\.[0-9]+" | tail -n 1)
if [ $(echo "$score < $3" | bc) -eq 1 ] || [ $(echo "$score > $4" | bc) -eq 1 ]; then
printf ' - %s @ %s (FAIL: score not in range [%s, %s])\n' "$qnt" "$score" "$3" "$4"
return 20
fi
printf ' - %s @ %s OK\n' "$qnt" "$score"
return 0
}
check_score "rerank score 0" "$(cat $OUT/${ci}-rk-f16.log | grep "rerank score 0")" "0.00" "0.05" | tee -a $OUT/${ci}-rk-f16.log
check_score "rerank score 1" "$(cat $OUT/${ci}-rk-f16.log | grep "rerank score 1")" "0.00" "0.05" | tee -a $OUT/${ci}-rk-f16.log
check_score "rerank score 2" "$(cat $OUT/${ci}-rk-f16.log | grep "rerank score 2")" "0.10" "0.30" | tee -a $OUT/${ci}-rk-f16.log
set +e
}
function gg_sum_rerank_tiny {
gg_printf '### %s\n\n' "${ci}"
gg_printf 'Rerank Tiny (Jina):\n'
gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)"
gg_printf '- f16: \n```\n%s\n```\n' "$(cat $OUT/${ci}-rk-f16.log)"
}
function gg_check_build_requirements {
if ! command -v cmake &> /dev/null; then
gg_printf 'cmake not found, please install'
fi
if ! command -v make &> /dev/null; then
gg_printf 'make not found, please install'
fi
if ! command -v ctest &> /dev/null; then
gg_printf 'ctest not found, please install'
fi
}
function gg_run_test_backend_ops_cpu {
cd ${SRC}
cd build-ci-release
set -e
(time ./bin/test-backend-ops -b CPU ) 2>&1 | tee -a $OUT/${ci}-test-backend-ops-cpu.log
set +e
}
function gg_sum_test_backend_ops_cpu {
gg_printf '### %s\n\n' "${ci}"
gg_printf 'Runs test-backend-ops for CPU backend\n'
gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)"
gg_printf '```\n'
gg_printf '%s\n' "$(cat $OUT/${ci}-test-backend-ops-cpu.log)"
gg_printf '```\n'
gg_printf '\n'
}
## main
export LLAMA_LOG_PREFIX=1
export LLAMA_LOG_TIMESTAMPS=1
if [ -z ${GG_BUILD_LOW_PERF} ]; then
# Create symlink: ./llama.cpp/models-mnt -> $MNT/models
rm -rf ${SRC}/models-mnt
mnt_models=${MNT}/models
mkdir -p ${mnt_models}
ln -sfn ${mnt_models} ${SRC}/models-mnt
# Create a fresh python3 venv and enter it
if ! python3 -m venv "$MNT/venv"; then
echo "Error: Failed to create Python virtual environment at $MNT/venv."
exit 1
fi
source "$MNT/venv/bin/activate"
pip install -r ${SRC}/requirements.txt --disable-pip-version-check
pip install --editable gguf-py --disable-pip-version-check
fi
ret=0
test $ret -eq 0 && gg_run ctest_debug
test $ret -eq 0 && gg_run ctest_release
if [ ! -z ${GG_BUILD_HIGH_PERF} ]; then
test $ret -eq 0 && gg_run test_backend_ops_cpu
fi
if [ -z ${GG_BUILD_LOW_PERF} ]; then
test $ret -eq 0 && gg_run embd_bge_small
test $ret -eq 0 && gg_run rerank_tiny
if [ -z ${GG_BUILD_CLOUD} ] || [ ${GG_BUILD_EXTRA_TESTS_0} ]; then
test $ret -eq 0 && gg_run test_scripts
fi
test $ret -eq 0 && gg_run qwen3_0_6b
test $ret -eq 0 && gg_run ctest_with_model_debug
test $ret -eq 0 && gg_run ctest_with_model_release
fi
cat $OUT/README.md
exit $ret