* whisper : optional ANEForge encoder backend (Apple Neural Engine)
Runs the Whisper encoder directly on the Apple Neural Engine via ANEForge, an
alternative to the CoreML encoder backend. About 2x faster than the CoreML encoder
and faster than the Metal GPU encoder on M-series, at ~5x lower energy, with the
same transcripts (cosine 0.999 vs the reference encoder).
Mirrors the existing CoreML/OpenVINO seam: fills embd_enc from the external aneforge
package via the same whisper_encode_external path, gated at runtime by the
ANEFORGE_ENCODER env var. With the variable unset the build behaves exactly like
stock whisper.cpp (the backend dlopens its dispatch dylib only when enabled, no new
link-time dependency). Encoder only; the decoder is untouched.
Adds src/aneforge/whisper-aneforge.{h,cpp}, one line to src/CMakeLists.txt, and ~30
lines to src/whisper.cpp (include, state field, encode branch, init, free).
* aneforge: one statement per line, align dlsym block (review)
* aneforge: guard the backend to Apple Silicon, stub elsewhere (fix non-Apple CI)
whisper-aneforge.cpp uses <dlfcn.h> and __fp16, which are unavailable on Windows
(MSVC) and non-ARM Linux, so the unconditional build broke those CI jobs. Wrap the
real implementation in #if defined(__APPLE__) && defined(__aarch64__) and provide
no-op stubs elsewhere; the encoder is Apple-Neural-Engine-only anyway, and the
library now links on every platform.
* examples : include whisper-aneforge.cpp in android examples
Refs: https://github.com/ggml-org/whisper.cpp/actions/runs/32758607709/job/97689705921?pr=3905#step:5:200
* ci : specify explicit packages (platform-tools)
This commit updates the android jobs to specify platform-tools as an
explicit package.
The motivation for this to try to fix the Setup Android SDK step which
is also trying to install an obolete tools package.
Refs: https://github.com/ggml-org/whisper.cpp/actions/runs/35215042978/job/105181619536?pr=3905
---------
Co-authored-by: Daniel Bevenius <daniel.bevenius@gmail.com>
* 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>
Daniel Bevenius