* 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
* cmake:
- added `whisper-` prefix to unprefixed targets: `quantize`, `lsp`,
`vad-speech-segments`
- added `install(TARGETS ${TARGET} RUNTIME)` where it was missing
Signed-off-by: Peter A. <ink.splatters@pm.me>
* .github/workflows/build.yml: quantize -> whisper-quantize
Signed-off-by: Peter A. <ink.splatters@pm.me>
---------
Signed-off-by: Peter A. <ink.splatters@pm.me>
Since we use prefetchVirtualMemory we specify we target win 8 or above, otherwise other compilers will refuse to use the prefetchVirtualMemory api, (I understand you are loading it dynamically but the header definition has this limitation)
* sync : ggml (backend v2, k-quants, CUDA opts, Metal opts, etc.)
* metal : allow env metal variable to override resource path (#1415)
* Allow env variable to override resource path
* Update ggml-metal.m
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* sync : restore common / main from `master`
* sync : restore whisper from `master`
* talk-llama : update to latest llama.cpp
* ruby : fix build
* ggml : fix 32-bit ARM build
* ggml : fix MIN / MAX macro collisions + update ios bindings
* ggml : fix ifdefs and MIN / MAX again
* exampels : fix Obj-C and Swift examples
* ggml : fix 32-bit ARM compatibility
* ggml : one more attempt to fix 32-bit ARM compat
* whisper : fix support for larger graphs
---------
Co-authored-by: Chris Raethke <codesoda@users.noreply.github.com>
* metal : init
* whisper : factor out graph builds
* whisper : allocate encoder and decoder using ggml-alloc
* whisper : ggml-alloc is now supported
* whisper : CoreML support ggml-alloc
* build : fix ggml-alloc
* ios : update submodule
* extra : update sync-ggml.sh script to also sync ggml-alloc
* ci : see if this is causing the crash
* whisper : refactor ggml-alloc init
* whisper.android : try to fix build
* whisper : initial Metal version
* ci : try to debug vmem issue
* metal : decoder works on GPU!
* metal : add multi-decoder support
* ggml : fix ggml_nbytes (probably temp solution)
* metal : run "cross" step on the GPU
* whisper : remove ggml_repeat in the encoder
* whisper : offload the Encoder to Metal
* ggml : use simpler ggml_bytes() implementation
* ggml-alloc : try to make CI happy by reducing vram to 128GB
* whisper : add whisper_allocr to wrap ggml_allocr
* whisper : factor out alloc init in a function
* cmake : update to support Metal build
* whisper : add <functional> header
* objc : fix build (no Metal yet)
* ios : add Metal support
* swiftui : fix build
* metal : speed-up KQ multiplication
* metal : sync latest llama.cpp kernels
* readme : add Metal info
* ios : update submodule
* coreml : add code to toggle Core ML config (CPU, ANE, GPU)
* bench : fix timings by running a pre-heat
* bench : start benching the decoder
* whisper : add ggml_mul_mat_pad
* bench : fix uninitialized vars
* whisper : add comment for disabling mul-mat padding
* whisper : add description of ggml_mul_mat_pad
* whisper : clean-up ggml_mul_mat_pad
* metal : remove the "concurrent" flag
* bench : variable n_past
* ios : update SPM package
Daniel Bevenius
Georgi Gerganov
Peter A.
Tamotsu Takahashi
bobqianic
Kreijstal