Files
whisper.cpp/ci/run.sh
Georgi Gerganov 02d5316af5 ci : refactor + optimize (#3847)
* ci : add ccache clear action

* ci : split self-hosted GPU jobs into build-self-hosted.yml

Extract self-hosted runner jobs from build.yml into a dedicated
build-self-hosted.yml following the llama.cpp pattern:
  - gpu-cuda (NVIDIA Linux)
  - gpu-vulkan-nvidia-cm (NVIDIA Linux)
  - gpu-vulkan-nvidia-cm2 (NVIDIA Linux + COOPMAT2)
  - gpu-metal (macOS ARM64)
  - gpu-vulkan (macOS ARM64)

GitHub-hosted CPU jobs remain in build.yml.

Assisted-by: llama.cpp:local pi

* ci : split release jobs into release.yml

Extract release-related jobs from build.yml into a dedicated
release.yml following the llama.cpp pattern:
  - determine-tag
  - windows (Win32/x64, SDL2)
  - windows-blas (Win32/x64, OpenBLAS)
  - windows-cublas (x64, CUDA 11.8/12.4)
  - ios-xcode-build
  - bindings-java (depends on windows)
  - release (artifact aggregation + GitHub release)

CoreML job stays in build.yml with its own local tag calculation.

Assisted-by: llama.cpp:local pi

* ci : remove bindings-java job from release.yml

Assisted-by: llama.cpp:local pi

* cont : add manual trigger for build.yml

* cont : remove obsolete ifs

* ci : extract sanitizer job to bild-sanitize.yml

* ci : extract linux jobs into build-linux.yml

* ci : extract macos jobs to build-macos.yml

* ci : extract gcc jobs to build-gcc.yml

* ci : extract clang jobs to build-clang.yml

* ci : extract sycl jobs to build-sycl.yml

* ci : extract windows jobs to build-windows.yml

* ci : extract emscripten job to build-wasm.yml

* ci : extract android jobs into build-android.yml

* ci : extract quantize job to quantize.yml

* ci : extract coreml job into coreml.yml

* ci : extract vad job to vad.yml

* ci : extract cpu jobs to build-cpu.yml

* ci : make naming of yml files consistent

* ci : add --fail to curl download and propagate

This commit adds the --fail option to the model download scripts so that
if the model download returns a server error this is picked up. This is
then detected in run.sh and a error message is displayed and the script
stops and returns an error.

The motivation for this is that currently it is possible for the model
download to fail but this script proceeds and instead of a model file
the contents will be an html page probably with the error. This will
then cause the model to not be able to load due to a missing magic
number. I'm not sure we can do much about the downloading failing,
perhaps a retry but at least this will give a clearer error message.

Refs: https://github.com/danbev/whisper.cpp/actions/runs/26866349389/job/79230794512

* ci : enable command traces to see download command in use

* ci : add retry functionality to download model script

This commit adds curl retry options to the model download script.

The motivation is that currently when CI jobs run huggingface rate limit
the requests and return:
```console
curl: (22) The requested URL returned error: 429
```
This is an attempt to work around this and if it does not work then we
can an authorization token.

* ci : extract freebsd job to build-freebsd.yml

This job has been commented out as it has been flaky in the past. I'll
monitor this and if it continues to be unreliable we can disable it in
the github actions GUI instead of commenting it out like we did before.

* ci : add ccache to jobs (non-docker builds)

The ccache will only be saved on pushed to master.

* ci : bump ccache-action version to v1.2.21

The motivation for this is that the save parameter does not seem to work
with the current version.

* ci : add ccache to docker jobs in build-linux.yml

* ci : add debug statements to linux docker build

* ci : set CCACHE_DIR for build-linux.yml

* ci : add ccache to the remaining docker jobs

* ci : remove build-linux.yml

This commit remove build-linux.yml as the same jobs are also run by
build-gcc.yml, with the exception that build-gcc.yml also run ctest).
So keeping build-gcc.yml and removing the redundant build-linux.yml.

* ci : add linux build artifacts to release

* ci : revert to hendrikmuhs/ccache-action for win job

This is currently causing the following failure:
```console
sccache C:\PROGRA~1\NVIDIA~1\CUDA\v\bin\nvcc.exe -forward-unknown-to-host-compiler -DGGML_BACKEND_BUILD -DGGML_BACKEND_SHARED -DGGML_CUDA_PEER_MAX_BATCH_SIZE=128 -DGGML_SCHED_MAX_COPIES=4 -DGGML_SHARED -D_CRT_SECURE_NO_WARNINGS -D_XOPEN_SOURCE=600 -Dggml_cuda_EXPORTS -DCMAKE_INTDIR=\"Release\" -ID:\a\whisper.cpp\whisper.cpp\ggml\src\ggml-cuda\.. -ID:\a\whisper.cpp\whisper.cpp\ggml\src\..\include -isystem "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v\include" -Xcompiler="-MD -O2 -Ob2" -DNDEBUG -std=c++17 -arch=native -use_fast_math -extended-lambda -Xcompiler /Zc:preprocessor -MD -MT ggml\src\ggml-cuda\CMakeFiles\ggml-cuda.dir\Release\allreduce.cu.obj -MF ggml\src\ggml-cuda\CMakeFiles\ggml-cuda.dir\Release\allreduce.cu.obj.d -x cu -c D:\a\whisper.cpp\whisper.cpp\ggml\src\ggml-cuda\allreduce.cu -o ggml\src\ggml-cuda\CMakeFiles\ggml-cuda.dir\Release\allreduce.cu.obj -Xcompiler=-Fdggml\src\ggml-cuda\CMakeFiles\ggml-cuda.dir\Release\,-FS
sccache: encountered fatal error
sccache: error: Could not parse shell line
sccache: caused by: Could not parse shell line
```

Refs: https://github.com/danbev/whisper.cpp/actions/runs/26883673904/job/79290017353

* ci : make static linux artifacts

* ci : make linux release artifact names consistent

This commit removes the tag form the linux release artifacts to be
consistent with the existing artifacts.

If we want to include the tag then we can do that in a follow-up PR.

* ci : fix linux zip files to have a directory

* ci : add HF_TOKEN secret for HF download authorization

This is to avoid the HR rate limiting when downloading model.

---------

Co-authored-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2026-06-04 09:35:58 +03:00

391 lines
11 KiB
Bash

#!/bin/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
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 -vf $OUT/*.log
rm -vf $OUT/*.exit
rm -vf $OUT/*.md
sd=`dirname $0`
cd $sd/../
SRC=`pwd`
ALL_MODELS=( "tiny.en" "tiny" "base.en" "base" "small.en" "small" "medium.en" "medium" "large-v1" "large-v2" "large-v3" "large-v3-turbo" )
BENCH_N_THREADS=4
BENCH_ENCODER_ONLY=0
BENCH_FLASH_ATTN=0
# check for user-specified models first. if not specified, use fast models
if [ ! -z ${GG_BUILD_TEST_MODELS} ]; then
IFS=',' read -r -a MODELS <<< "${GG_BUILD_TEST_MODELS}"
else
if [ ! -z ${GG_BUILD_LOW_PERF} ]; then
MODELS=( "tiny" "base" "small" )
else
MODELS=("${ALL_MODELS[@]}")
fi
fi
CMAKE_EXTRA="-DWHISPER_FATAL_WARNINGS=ON"
if [[ "$(uname -m)" == "x86_64" ]]; then
CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_NATIVE=OFF"
fi
if [ ! -z ${GG_BUILD_METAL} ]; then
CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_METAL=ON"
fi
if [ ! -z ${GG_BUILD_CUDA} ]; then
CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_CUDA=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} -DAMDGPU_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"
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
## 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 -N $url
cd $cwd
}
function gg_download_model {
local model_name=$1
local model_file="$MNT/models/ggml-${model_name}.bin"
if [ ! -f ${model_file} ]; then
local cwd=`pwd`
mkdir -p "$MNT/models"
cd "$MNT/models"
set -x
bash "$cwd/models/download-ggml-model.sh" ${model_name} .
local download_status=$?
set +x
cd "$cwd"
if [ $download_status -ne 0 ]; then
echo "Error: failed to download model ${model_name}"
ret=1
fi
fi
}
function gg_printf {
printf -- "$@" >> $OUT/README.md
}
# Helper function to check command exit status
function gg_check_last_command_status {
local exit_file=$1
local command_name=$2
local exit_status=$?
echo "$exit_status" > "$exit_file"
if [ $exit_status -ne 0 ]; then
echo "Error: Command $command_name failed with exit status $exit_status"
return 1
fi
return 0
}
# Usage: gg_run <test_name> [additional_args...]
#
# Parameters:
# test_name - Name of the test to run (calls gg_run_<test_name>)
# additional_args - Any additional arguments to pass to the test function (first argument is appended to the log filename)
function gg_run {
ci=$1
if [ $# -gt 1 ]; then
ci="${ci}_${2}"
fi
set -o pipefail
set -x
gg_run_$1 "$@" | tee $OUT/$ci.log
cur=$?
echo "$cur" > $OUT/$ci.exit
set +x
set +o pipefail
gg_sum_$1 "$@"
ret=$((ret | cur))
}
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
}
## ci
function gg_run_ctest {
mode=$2
cd ${SRC}
rm -rf build-ci-${mode} && mkdir build-ci-${mode} && cd build-ci-${mode}
set -e
gg_check_build_requirements
(time cmake -DCMAKE_BUILD_TYPE=${mode} ${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 ) 2>&1 | tee -a $OUT/${ci}-ctest.log
set +e
}
function gg_sum_ctest {
mode=$2
gg_printf '### %s\n\n' "${ci}"
gg_printf 'Runs ctest in '${mode}' mode\n'
gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)"
gg_printf '```\n'
gg_printf '%s\n' "$(cat $OUT/${ci}-ctest.log)"
gg_printf '```\n'
}
function gg_run_bench {
cd ${SRC}
# set flash attention flag if enabled
fattn="-nfa"
if [ "$BENCH_FLASH_ATTN" -eq 1 ]; then
fattn="-fa"
fi
# run memcpy benchmark if not encoder-only mode
if [ "$BENCH_ENCODER_ONLY" -eq 0 ]; then
echo "Running memcpy benchmark"
(time ./build-ci-release/bin/whisper-bench -w 1 -t $BENCH_N_THREADS 2>&1) | tee -a $OUT/${ci}-memcpy.log
gg_check_last_command_status "$OUT/${ci}-memcpy.exit" "memcpy benchmark"
echo "Running ggml_mul_mat benchmark with $BENCH_N_THREADS threads"
(time ./build-ci-release/bin/whisper-bench -w 2 -t $BENCH_N_THREADS 2>&1) | tee -a $OUT/${ci}-mul_mat.log
gg_check_last_command_status "$OUT/${ci}-mul_mat.exit" "ggml_mul_mat benchmark"
fi
echo "Running benchmark for all models"
# generate header for the benchmark table
{
printf "| %16s | %13s | %3s | %3s | %7s | %7s | %7s | %7s | %7s |\n" "Config" "Model" "Th" "FA" "Enc." "Dec." "Bch5" "PP" "Commit"
printf "| %16s | %13s | %3s | %3s | %7s | %7s | %7s | %7s | %7s |\n" "---" "---" "---" "---" "---" "---" "---" "---" "---"
} | tee -a $OUT/${ci}-models-table.log
res=0
# run benchmark for each model
for model in "${MODELS[@]}"; do
echo "Benchmarking model: $model"
# run the benchmark and capture output
output=$(./build-ci-release/bin/whisper-bench -m $MNT/models/ggml-$model.bin -t $BENCH_N_THREADS $fattn 2>&1)
ret=$?
# save the raw output
echo "$output" > $OUT/${ci}-bench-$model.log
if [ $ret -eq 0 ]; then
# parse the benchmark results
encode_time=$(echo "$output" | grep "encode time" | awk '{print $11}')
decode_time=$(echo "$output" | grep "decode time" | awk '{print $11}')
batchd_time=$(echo "$output" | grep "batchd time" | awk '{print $11}')
prompt_time=$(echo "$output" | grep "prompt time" | awk '{print $11}')
system_info=$(echo "$output" | grep "system_info")
actual_threads=$(echo "$output" | grep "system_info" | awk '{print $4}')
# determine configuration
config=""
if [[ $system_info == *"AVX2 = 1"* ]]; then
config="$config AVX2"
fi
if [[ $system_info == *"NEON = 1"* ]]; then
config="$config NEON"
fi
if [[ $system_info == *"BLAS = 1"* ]]; then
config="$config BLAS"
fi
if [[ $system_info == *"COREML = 1"* ]]; then
config="$config COREML"
fi
if [[ $system_info == *"CUDA = 1"* ]]; then
config="$config CUDA"
fi
if [[ $system_info == *"METAL = 1"* ]]; then
config="$config METAL"
fi
# get commit hash
commit=$(git rev-parse --short HEAD)
# add row to benchmark table
printf "| %16s | %13s | %3s | %3s | %7s | %7s | %7s | %7s | %7s |\n" \
"$config" "$model" "$actual_threads" "$BENCH_FLASH_ATTN" "$encode_time" "$decode_time" "$batchd_time" "$prompt_time" "$commit" \
| tee -a $OUT/${ci}-models-table.log
else
echo "Benchmark failed for model: $model" | tee -a $OUT/${ci}-bench-errors.log
res=1
fi
done
return $res
}
function gg_sum_bench {
gg_printf '### %s\n\n' "${ci}"
gg_printf 'Whisper Benchmark Results\n'
gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)"
# show memcpy and ggml_mul_mat benchmark results if available
if [ "$BENCH_ENCODER_ONLY" -eq 0 ]; then
if [ -f "$OUT/${ci}-memcpy.log" ]; then
gg_printf '#### memcpy Benchmark\n\n'
gg_printf '```\n%s\n```\n\n' "$(cat $OUT/${ci}-memcpy.log)"
fi
if [ -f "$OUT/${ci}-mul_mat.log" ]; then
gg_printf '#### ggml_mul_mat Benchmark\n\n'
gg_printf '```\n%s\n```\n\n' "$(cat $OUT/${ci}-mul_mat.log)"
fi
fi
# show model benchmark results
gg_printf '#### Model Benchmarks\n\n'
if [ -f "$OUT/${ci}-models-table.log" ]; then
gg_printf '%s\n\n' "$(cat $OUT/${ci}-models-table.log)"
else
gg_printf 'No model benchmark results available.\n\n'
fi
# show any errors that occurred
if [ -f "$OUT/${ci}-bench-errors.log" ]; then
gg_printf '#### Benchmark Errors\n\n'
gg_printf '```\n%s\n```\n\n' "$(cat $OUT/${ci}-bench-errors.log)"
fi
}
ret=0
for model in "${MODELS[@]}"; do
test $ret -eq 0 && gg_download_model ${model}
done
test $ret -eq 0 && gg_run ctest debug
test $ret -eq 0 && gg_run ctest release
test $ret -eq 0 && gg_run bench
cat $OUT/README.md
exit $ret