* stream : add nullptr check of whisper_context
This commit adds a check to ensure that the `whisper_context` is not
null after initialization.
The motivation for this is that currently, if the initialization fails,
the program continues to run leading to a segmentation fault. This sort
of check is performed by others examples like whisper-cli.
Refs: https://github.com/ggml-org/whisper.cpp/issues/3280#issuecomment-3003778035
* examples : add nullptr check for whisper_context
This commit re-enables the main-cuda Docker build in the CI workflow.
The main-cuda Dockerfile has been updated to remove build artifacts
and also print the size of the /app directory after the build. A similar
change was recently made to the musa Dockerfile, and perhaps this job
was also having similar disk space issues.
The motivation for this change is that this configuration has been
disabled for a while due to persistent build failures. However, the
actual logs are now longer available.
Resolves: https://github.com/ggml-org/whisper.cpp/issues/3040
* ci : reduce musa image size
This commit contains an attempt to reduce the size of the musa Docker
image by copying only the necessary files from the build stage.
The motivation for this is that the CI runs sometimes fail with out of
memory errors. These seems to be able to pass for PRs, at least
sometimes but fail upon push to the master branch.
* ci : remove build time files instead of selective copying
* ci : add apt-get clean to musa Dockerfile
This commit adds `apt-get clean` to the musa Dockerfile to reduce the
image size by removing cached package files after installation.
The motivation for this is to try to reduce the size of the Docker image
and see if this can avoid the "no space left on device" error during
the CI build process.
Refs: https://github.com/ggml-org/whisper.cpp/actions/runs/15815324254
* Add Apple frameworks to $LDFLAGS when needed
* Add utility method to Options
* Remove unnecessary propaty date from gemspec
* Add Apple frameworks for CoreML build
* Add Accelerate framework only for Apple platform
* Fix ZipURI#cache signature
* Download test fixtures if needed
* Add header and namespace to use enqueue_functions extension
* Convert submit and parallel_for to use new extension in convert.cpp
* Convert submit and parallel_for to use extension in ggml-sycl.cpp
* Convert submit and parallel_for to use extension in gla.cpp
* Convert submit and parallel_for in mmq.cpp
* Convert submit and parallel_for in mmvq.cpp
* Convert submit and parallel_for in remaining files
* Convert all simple parallel_for to nd_launch from enqueue_functions
extension
* Wrapping extension in general function
Create a general function that enable the enqueue_functions extension if
it is enable in the compiler, otherwise call the general SYCL function
to launch kernels.
---------
Signed-off-by: nscipione <nicolo.scipione@codeplay.com>
* Add PowerPC feature detection and scoring
* ggml-cpu: Implement GGML_CPU_ALL_VARIANTS for PowerPC
* ggml-cpu: Delay some initializations until function is called
When using GGML_BACKEND_DL=ON, these initializations might use
instructions that are not supported by the current CPU.
---------
Co-authored-by: Diego Devesa <slarengh@gmail.com>
* android : update CMakeLists.txt to use FetchContent for ggml
This commit updates the CMakeLists.txt file for the Android Whisper
example to use FetchContent for managing the ggml library.
The motivation for this change is avoid having to make manual changes to
the CMakeLists.txt file after syncing the ggml library.
I've built and run the example locally to verify that it works as
expected.
Refs: https://github.com/ggml-org/whisper.cpp/pull/3265#issuecomment-2986715717
* android.java : update cmake to use FetchContent for ggml
This commit updates the CMake configuration for the Android Java example
to use `FetchContent` for including the `ggml` library. Do be able to
use FetchContent we also update the `compileSdkVersion` and
`targetSdkVersion` to 31, and the `buildToolsVersion` to '30.0.3'.
This also required a an update to the Gradle plugin version to 7.4.0.
The motivation for this change is avoid having to make manual changes to
the CMakeLists.txt file after syncing the ggml library.
This commit adds a conversion from stereo to mono in the
`read_audio_data` function of `common-whisper.cpp`.
The motivation for this change is prior to Commit
7d3da68f79 ("examples : use miniaudio for
direct decoding flac, mp3, ogg and wav (#2759)", there was a step that
read stereo int16 data -> pcm16 (448512 samples), and then converted to
mono (224256 samples), and then also convert to stereo in `pcmf32s.
The middle step here seems to have been missed when rewriting the code to
use Miniaudio and caused issues then transcribing stereo audio files.
For example, currently using the audio sample in the linked issue the
output is:
```console
[00:00:00.000 --> 00:00:03.000] (speaker 1) Sous-titres réalisés para la communauté d'Amara.org
```
And with the change in this commit the output is:
```
[00:00:00.000 --> 00:00:01.500] (speaker 1) *sonnerie de téléphone*
[00:00:01.500 --> 00:00:07.000] (speaker 1) Salut jeune homme !
[00:00:07.000 --> 00:00:08.500] (speaker 0) C'est vrai que je te dérange ?
[00:00:08.500 --> 00:00:10.500] (speaker 1) Ah pas du tout, pas du tout, pas du tout !
[00:00:10.500 --> 00:00:12.500] (speaker 1) J'étais en train de...
[00:00:12.500 --> 00:00:14.500] (speaker 1) de préparer un courrier
```
Resolves: https://github.com/ggml-org/whisper.cpp/issues/3092
* llama : add thread safety test
* llamafile : remove global state
* llama : better LLAMA_SPLIT_MODE_NONE logic
when main_gpu < 0 GPU devices are not used
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Update oneMath commit to merged PR https://github.com/uxlfoundation/oneMath/pull/669
which adds SYCL-Graph support for recording CUDA BLAS commands.
With this change the `MUL_MAT` tests now pass on DPC++ CUDA backends with SYCL-Graph
enabled. Prior to this change, an error would be thrown.
```
$ GGML_SYCL_DISABLE_GRAPH=0 ./bin/test-backend-ops -b SYCL0 -o MUL_MAT -p type_a=f16,type_b=f32,m=16,n=1,k=256,bs=\\[1,1\\],nr=\\[2
UR CUDA ERROR:
Value: 700
Name: CUDA_ERROR_ILLEGAL_ADDRESS
Description: an illegal memory access was encountered
Function: operator()
Source Location: $HOME/dpcpp/unified-runtime/source/adapters/cuda/queue.cpp:154
Native API failed. Native API returns: 2147483646 (UR_RESULT_ERROR_UNKNOWN)
Exception caught at file:$HOME/llama.cpp/ggml/src/ggml-sycl/ggml-sycl.cpp, line:3598, func:operator()
SYCL error: CHECK_TRY_ERROR((stream)->wait()): Meet error in this line code!
in function ggml_backend_sycl_synchronize at $HOME/llama.cpp/ggml/src/ggml-sycl/ggml-sycl.cpp:3598
$HOME/llama.cpp/ggml/src/ggml-sycl/../ggml-sycl/common.hpp:118: SYCL error
Could not attach to process. If your uid matches the uid of the target
process, check the setting of /proc/sys/kernel/yama/ptrace_scope, or try
again as the root user. For more details, see /etc/sysctl.d/10-ptrace.conf
ptrace: Operation not permitted.
No stack.
The program is not being run.
```
Georgi Gerganov
Daniel Bevenius
Joas Dev
glaszig
Yukimasa Funaoka
Aaron Ang
KITAITI Makoto
Aman Gupta
Nicolò Scipione
Christian Kastner
Diego Devesa
Charles Xu
fanyang
Anton Mitkov
Aaron Teo
0cc4m
Acly
bandoti
xctan
R0CKSTAR
uvos
Jeff Bolz
Anton Mitkov
Ewan Crawford