* cmake : update semver handling to be consistent with ggml/llama.cpp
This commit modifies the semantic version handling to be consistent with
how llama.cpp and ggml handle semver.
This commit introdues a new example named test-cmake which is intended
to be used to test the cmake configuration and installation.
* ci : update release workflow to be consistent with llama.cpp
work in progress...
* ci : fix if statement in release.yml
* ci : comment out all but one build in release.yml
This is just for testing and this commit should not be included in the
main PR later.
* ci : use DEPLOY_KEY_RELEASE
This commit updates the release and make-release workflows to use the
DEPLOY_KEY_RELEASE secret. Two github ruleset have been imported.
* ci : add github rulesets for releases
These were retrived from llama.cpp and then imported into my fork for
testing. If all works well they will be imported into whisper.cpp
upstream as well.
* fix move artifacts step
* examples : use FetchContent for llama.cpp in talk-llama
This commit updated the example talk-llama to remove the vendored
llama.cpp and instead use FetchContent to pull it in from the
upstream repo.
* ci: add GGML_NATIVE=OFF to build-clang.yml
This commit disables native CPU instructions from the ubuntu-22-clang
job.
The motivation for this is that currently it is possible that the
running compiling llama.cpp (via ccache) might have support for cpu
instructions that are not available on the target runner.
Refs: https://github.com/ggml-org/whisper.cpp/actions/runs/32224048267/job/95980031403?pr=3996
* ci : add missing GGML_NATIVE=OFF to jobs
* ci : add attestation for signed release artifacts
This commit add attenstions of artifacts to the release workflow.
After building the artifacts can be verified with the following command:
```console
$ curl -sSL -o whisper-bin-ubuntu-x64.tar.gz \
https://github.com/danbev/whisper.cpp/releases/download/b4947/whisper-bin-ubuntu-x64.tar.gz
$ gh attestation verify --repo danbev/whisper.cpp whisper-bin-ubuntu-x64.tar.gz
Loaded digest sha256:722a6812263195d7ee2192b57fc64a6d6b09a6cdf2f55a152f793db27a651e31 for file://whisper-bin-ubuntu-x64.tar.gz
Loaded 1 attestation from GitHub API
The following policy criteria will be enforced:
- Predicate type must match:................ https://slsa.dev/provenance/v1
- Source Repository Owner URI must match:... https://github.com/danbev
- Source Repository URI must match:......... https://github.com/danbev/whisper.cpp
- Subject Alternative Name must match regex: (?i)^https://github\.com/danbev/whisper\.cpp/
- OIDC Issuer must match:................... https://token.actions.githubusercontent.com
✓ Verification succeeded!
The following 1 attestation matched the policy criteria
- Attestation #1
- Build repo:..... danbev/whisper.cpp
- Build workflow:. .github/workflows/release.yml@refs/heads/master
- Signer repo:.... danbev/whisper.cpp
- Signer workflow: .github/workflows/release.yml@refs/heads/master
```
* cmake : add WHISPER_USE_SYSTEM_LLAMA option [no ci]
This commit adds a new CMake option WHISPER_USE_SYSTEM_LLAMA that allows
the talk-llama example to use a system-installed llama.cpp library.
Setting this will automatically also set WHISPER_USE_SYSTEM_GGML to ON
and the system ggml library will be used in addition to the system
llama.cpp.
* ci : remove unused ccache step
* Revert "ci : comment out all but one build in release.yml"
This reverts commit 24b56776e1.
* ci : set WHISPER_BUILD_IS_DEV=OFF in release.yml
* 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>
* whisper : set bench data for each iteration
This commit updates whisper_bench_ggml_mul_mat_str to intialize the
tensors data for each iteration.
The motivation for this is that is currently possible for a previous
run's results, F32 values, to leak into the next run. When it is time
for the F16 iteration then F32 results can cause NaN values to appear
in the tensor values causing the F16 iteration to fail.
Refs:https://github.com/ggml-org/whisper.cpp/actions/runs/25901678402/job/76152894644?pr=3735
* ci : set GGML_NATIVE=OFF if x86_64
This commit sets GGML_NATIVE=OFF for x86_64 architectures.
The motivation for this is to try to get CI to pass and the theory is
that the libggml-cpu.so library in the ccache might have been built by a
runner that supports a different instruction set. When another runner
that does not support that instruction set tries to use it, it will fail
with a segmentation fault.
I'm not sure about this yet but going to try this out and if it does not
work I'll ssh into the runner to debug further.
Daniel Bevenius
Georgi Gerganov
Akarshan Biswas
Benjamin Ryan