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372 Commits

Author SHA1 Message Date
10acc21fa3 make : fix samples glob pattern 2025-04-30 14:20:50 +03:00
55d73a13f5 ggml : suppress Windows compiler warnings (#3075)
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* whisper: suppress Windows compiler warnings

This commit disables compiler warnings on window using MSVC.

The motivation for these changes is that some compilers generate
warnings for these conversion, for example Windows MSVC, and
there are quite a few of them. This makes it a little difficult to
spot new warnings that may be introduced and also can be difficult
for users/embedders of ggml where these warnings are hard to separate
from their own warnings.

* squash! whisper: suppress Windows compiler warnings

Move ggml related warnings into ggml. This commit also fixes the
indentation and adds a missing whitespace to the if statement.
2025-04-29 15:47:55 +02:00
2e30e6df59 whisper : fix grammar advance stack warning (#3087)
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This commit addresses a warnings that is present for Release builds:
```console
[ 30%] Building CXX object src/CMakeFiles/whisper.dir/whisper.cpp.o
In file included from /usr/include/c++/13/bits/stl_tree.h:63,
                 from /usr/include/c++/13/map:62,
                 from /home/danbev/work/ai/whisper.cpp/src/whisper-arch.h:5,
                 from /home/danbev/work/ai/whisper.cpp/src/whisper.cpp:2:
In static member function ‘static void std::__copy_move<false, false, std::random_access_iterator_tag>::__assign_one(_Tp*, _Up*) [with _Tp = const whisper_grammar_element*; _Up = const whisper_grammar_element* const]’,
    inlined from ‘static _Up* std::__copy_move<_IsMove, true, std::random_access_iterator_tag>::__copy_m(_Tp*, _Tp*, _Up*) [with _Tp = const whisper_grammar_element* const; _Up = const whisper_grammar_element*; bool _IsMove = false]’ at /usr/include/c++/13/bits/stl_algobase.h:440:20,
    inlined from ‘_OI std::__copy_move_a2(_II, _II, _OI) [with bool _IsMove = false; _II = const whisper_grammar_element* const*; _OI = const whisper_grammar_element**]’ at /usr/include/c++/13/bits/stl_algobase.h:506:30,
    inlined from ‘_OI std::__copy_move_a1(_II, _II, _OI) [with bool _IsMove = false; _II = const whisper_grammar_element* const*; _OI = const whisper_grammar_element**]’ at /usr/include/c++/13/bits/stl_algobase.h:533:42,
...
```
This warning is caused by the fact that the `stack` vector is empty
when it is passed to `new_stacks.push_back(stack);`.

The suggested fix is to use `new_stacks.emplace_back();` instead of
`new_stacks.push_back(stack);`.
2025-04-28 19:11:38 +02:00
f0171f0616 examples : expose language detection probabilities to server example (#3044)
* feat: expose language detection probabilities to server.cpp

* feat: enhance language detection output in server.cpp

* Remove empty spaces.
2025-04-28 18:25:45 +02:00
b7db9e7aac whisper : remove empty .gitmodules file [no ci] (#3085)
This commit removes the empty `.gitmodules` file from the repository.

The motivation of this is that this file is currently empty and the
project does not use any submodules at this time. Removing it mainly to
reduce clutter in the repository and any confusion when seen the file
in repo.
2025-04-28 15:52:05 +02:00
f3c42399a3 talk-llama : sync llama.cpp (#3084)
ggml-ci
2025-04-28 16:40:23 +03:00
28dcdff4c5 ci : disable publishing of java binding [no ci] (#3086)
This commit disables the publishing of the Java binding to the Maven
repository.

The motivation for this is that this job was disabled for some time and
recently it was re-enabled, but the publishing of the Java binding
caused the build to fail and needs to be investigated further.

Refs: https://github.com/ggml-org/whisper.cpp/issues/3079
2025-04-28 15:38:52 +02:00
50218b935d build : Add Moore Threads GPU support and update GitHub workflow for MUSA build (#3069)
* Update PATH for main/main-cuda container

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* Add Dockerfile for musa, .dockerignore and update CI

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* Add Moore Threads GPU Support in README.md and replace ./main with whisper-cli

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* Forward GGML_CUDA/GGML_MUSA to cmake in Makefile

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* Minor updates for PATH ENV in Dockerfiles

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* Address comments

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

---------

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
2025-04-28 11:06:41 +03:00
f9b2dfdd8c examples : fix deprecated FFmpeg functions (#3073)
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* Fix deprecated FFmpeg functions and free packet

* avcodec_free_context
2025-04-28 06:16:50 +02:00
50fda73f4c ruby : add encoder begin callback related methods (#3076)
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* Lazy run TestBase.whisper

* Fix indentation

* Remove disused GGML_HIP_UMA from Ruby

* Add encoder_begin_callback

* Comment out existing abort mechanism

* Add test for encoder_begin_callback

* Add signatures for encoder_begin_callback related methods

* Update gem date
2025-04-26 04:33:11 +09:00
1c20f46887 ci : enable bindings java job (#3070)
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* ci : re-enable bindings-java (java) job

This commit re-enables the job previously name `java` which was
disabled in the build.yml file.

The motivation for this is that we recently fixed a few issue in the
java bindings and it should be possible to build them on windows.

Refs: https://github.com/ggerganov/whisper.cpp/pull/2949
Resolves: https://github.com/ggerganov/whisper.cpp/issues/2781
2025-04-25 14:56:06 +02:00
adaea088bc ruby : add cmake option (#0)
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2025-04-24 20:39:16 +03:00
6c0d843f9d cuda : fix unused variable compile warning (#0)
ggml-ci
2025-04-24 20:39:16 +03:00
efb800557f sync : ggml
ggml-ci
2025-04-24 20:39:16 +03:00
337becefb9 opencl : remove obsolete files (skip) (ggml/1200) 2025-04-24 20:39:16 +03:00
11ae30c19e sync : ggml 2025-04-24 20:39:16 +03:00
88c3cecd43 opencl: split ggml-opencl.cl into multiple files and cleanup (llama/12886)
---------

Co-authored-by: Shangqing Gu <quic_shawngu@quicinc.com>
2025-04-24 20:39:16 +03:00
fe4acb33e3 ggml : fix trailing whitespaces (llama/0) 2025-04-24 20:39:16 +03:00
fd5a3e1bc6 CUDA: use switch statements in constexpr functions (llama/13095) 2025-04-24 20:39:16 +03:00
01e1600edd metal : fix floating-point range of attention scores in FA kernels (llama/13090)
ggml-ci
2025-04-24 20:39:16 +03:00
Eve
cf3eb291ab vulkan: matmul gcn tuning (llama/13016)
* tune matmul for gcn

* this one is more power efficient

* Update ggml/src/ggml-vulkan/ggml-vulkan.cpp

Co-authored-by: 0cc4m <picard12@live.de>

* disable this tune for the proprietary driver

---------

Co-authored-by: 0cc4m <picard12@live.de>
2025-04-24 20:39:16 +03:00
3d54b68ea7 CUDA: noncont MMVQ + batched bs1 MUL_MAT_ID (llama/13014)
* CUDA: noncont MMVQ + batched bs1 MUL_MAT_ID

* fix logic for RoPE support, CUDA graphs
2025-04-24 20:39:16 +03:00
11218294db ggml : add SSE 4.2 and x64 base variant for CPUs without AVX (llama/12871)
* ggml : add SSE 4.2 variant for CPUs without AVX

* ggml : add x64 base ABI variant
2025-04-24 20:39:16 +03:00
33c89ade7d SYCL: Add non-contiguous support in ROPE (llama/12993)
ggml-ci
2025-04-24 20:39:16 +03:00
27a56e7243 vulkan: support noncontiguous rms_norm (llama/13031) 2025-04-24 20:39:16 +03:00
f4ca3e2f9c metal: add neg operator (llama/13029) 2025-04-24 20:39:16 +03:00
0287a5c51b SYCL: Refactor and enable FP16 in binary broadcast OPs (llama/12975)
* SYCL: refactor move to a separate file

* Fix binbcast

* Remove duplicates

* fix include formatting

* fix typo
2025-04-24 20:39:16 +03:00
24d29c55df rpc : add RPC_CMD_HELLO (llama/12955)
Add RPC_CMD_HELLO for getting the version of the protocol implemend by
the server. Follow the semantic versioning rules at https://semver.org

Hopefully this bring better user experience when we make breaking
changes at the protocol level and avoid issues like #12465
2025-04-24 20:39:16 +03:00
36019c35a3 graph : make FA compatible with MLA + add initial Metal kernels (llama/12953)
* graph : make mla compatible with FA

* metal : add exp FA kernels for DeepSeek models

ggml-ci

* llama : minor naming updates

ggml-ci

* ggml : disable FA for DS head sizes

* tests : add FA tests for MLA shapes

ggml-ci
2025-04-24 20:39:16 +03:00
4e936e2afa ggml: Re-enable CUDA graphs in presence of CONT and DUP nodes (llama/12970) 2025-04-24 20:39:16 +03:00
314ce5981e CANN: Add support for async operator submission (llama/12864)
Submit operators using asynchronous threads to improve performance.

Use the environment variable GGML_CANN_ASYNC_MODE to control whether
asynchronous submission is enabled. It is disabled by default.

Testing shows a 10%–20% performance improvement in scenarios with
small parameter sizes, especially in quantized models.
2025-04-24 20:39:16 +03:00
cb7642b0f5 opencl: fix incorrect local_size index in profiling log (llama/12868) 2025-04-24 20:39:16 +03:00
7db8f278f0 vulkan: enable coopmat2 FA gqa and split_k optimizations more often (llama/12931)
The grouped query attention optmization doesn't require a power of two ratio,
the only thing relying on it was the modulo operation written as bitwise &.

split_k need not depend on gqa_ratio - enable it any time there's only one
workgroup in the X dimension. The shader gets the split index from the x coord,
and multiple workgroups in the X dimension (pre-split) indicates a larger
FA operation that wouldn't need splitting.
2025-04-24 20:39:16 +03:00
be42a19eab CANN: Add 310P operator support check (llama/12962) 2025-04-24 20:39:16 +03:00
b8755670ca metal : add FA-vec kernels for head size 96 (llama/12952)
ggml-ci
2025-04-24 20:39:16 +03:00
483eecae62 CANN: Add x86 build ci (llama/12950)
* CANN: Add x86 build ci

* CANN: fix code format
2025-04-24 20:39:16 +03:00
43e3d25d93 CUDA/HIP: Share the same unified memory allocation logic. (llama/12934)
Replace compile-time `GGML_HIP_UMA` with environment variable `GGML_CUDA_ENABLE_UNIFIED_MEMORY`. This unifies the usage on NVIDIA and AMD GPUs, and allows a single binary to be shared between integrated and dedicated GPUs.
2025-04-24 20:39:16 +03:00
e1dbf9a42e SYCL: Add ROPE vision kernel (llama/12887)
* SYCL: Add ROPE vision kernel

* Add comment about rope mode
2025-04-24 20:39:16 +03:00
ee0013865d ggml : Add AVX512 implementation of GEMM - Q4_Kx8 (llama/12829)
* Add AVX512 implementation of GEMM - q4kx8

* Update changes to remove unnecessary whitespaces
2025-04-24 20:39:16 +03:00
32a407166b CANN: Opt ROPE optimization (llama/12865)
* [CANN]Opt ROPE optimization

* [CANN]Codestyle adjustment

* [CANN]Fix the ROPE precision issue

* [CANN]codestyle fix

* [CANN]add rope unsupport case

Signed-off-by: noemotiovon <noemotiovon@gmail.com>
2025-04-24 20:39:16 +03:00
622f981853 CANN: Optimize CANN buffer pool memory management (llama/12875)
Multiple optional memory pools are provided for CANN, including VMM,
priority queue-based, and traditional memory pools.
1.When the memory pool is available and GGML_CANN_DISABLE_VMM_POOL
   is not defined, the VMM pool is selected by default.
2.Otherwise, if GGML_CANN_ENABLE_BUF_PRIO_POOL is defined,
   the priority queue-based memory pool is used.
3.If neither condition is met, the default memory pool is used.
2025-04-24 20:39:16 +03:00
d049d67065 SYCL: Fix im2col (llama/12910)
* SYCL: Fix im2col

* restore local workgroup size adjustments for large inputs

* restore format
2025-04-24 20:39:16 +03:00
877308838e rpc : use ggml_context_ptr (llama/12938) 2025-04-24 20:39:16 +03:00
d87dfcf7c0 ggml : Depthwise 2D convolution (ggml/1152)
* ggml-cpu : kernels for faster depthwise 2D convolution

* fix compile: remove static after moving to ops.cpp

* add dilation for depthwise_conv_2d

* review: rename to ggml_conv_2d_dw_direct, remove redundant struct keywords, pass by ref, whitespace

* review: rename depthwise_conv_2d -> conv_2d_dw everywhere
2025-04-24 20:39:16 +03:00
SXX
915c14ef10 ggml: use _mm[512/256]_dpbusd[_avx]_epi32 to directly accumulate into the result register (llama/12773)
* ggml: use _mm[512/256]_dpbusd[_avx]_epi32 to directly accumulate into the result register

* simplifies the codebase by removing redundant functions
2025-04-24 20:39:16 +03:00
5d33d3c929 ggml: disable CUDA graphs for unsupported DUP and CONT node types (llama/12891)
Fixes #12798
2025-04-24 20:39:16 +03:00
751e42b21e vulkan: use aligned loads for flash attention mask (llama/12853)
Rewrite the stride logic for the mask tensor in the FA shader to force the
stride to be aligned, to allow using more efficient loads.
2025-04-24 20:39:16 +03:00
e8ee32d12d sycl: Support sycl_ext_oneapi_limited_graph (llama/12873)
The current usage of the SYCL-Graph extension checks for
the `sycl_ext_oneapi_graph` device aspect. However, it is also
possible to support `sycl_ext_oneapi_limied_graph` devices that
don't support update
2025-04-24 20:39:16 +03:00
e9ce285135 SYCL: Add fp16 type support to unary op kernels (llama/12788)
* SYCL: Add fp16 support to some elementwise OP kernels

* remove comment

ggml-ci

* Use static_cast directly

* remove not needed cast from tanh

* Use static cast and remove unneeded castings

* Adjust device_support_op for unary OPs

* Use cast_data and typed_data struct to deduplicate casting code
2025-04-24 20:39:16 +03:00
b942f451b6 ggml: fix compilation error s390x (llama/12848)
* ggml: fixes #12846 compilation error

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

Co-authored-by: Aleksei Nikiforov <aleksei.nikiforov@ibm.com>

* ggml: add documentation for code change

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

Co-authored-by: Aleksei Nikiforov <aleksei.nikiforov@ibm.com>

* ggml: refactor to type-cast and update documentation

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

Co-authored-by: Aleksei Nikiforov <aleksei.nikiforov@ibm.com>

* ggml: update documentation to provide full issue link

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

Co-authored-by: Aleksei Nikiforov <aleksei.nikiforov@ibm.com>

---------

Co-authored-by: Aleksei Nikiforov <aleksei.nikiforov@ibm.com>
2025-04-24 20:39:16 +03:00
e6410faf99 cpu: fix cpu backend's supports-op for GET_ROWS_BACK. fixes a fatal when running test-backend-ops with only the CPU backend (ggml/1190) 2025-04-24 20:39:16 +03:00
182df69384 CANN: Support more ops (llama/12841)
* [CANN]Support Opt LOG && MEAN && PAD_REFLECT_1D

* [CANN]Support COUNT_EQUAL && STEP && SGN

* [CANN]codestyle adjustment

* [CANN]codestyle adjustment

---------

Signed-off-by: noemotiovon <noemotiovon@gmail.com>
2025-04-24 20:39:16 +03:00
3bf9691dfd Fixes #12823 (llama/12830)
* Including limits file on AIX

* Fixes #12823
2025-04-24 20:39:16 +03:00
ba444e9c23 ggml-cpu-impl.h: do not redefine bool on POWER9 (llama/12856)
error: unknown type name '_Bool'
2025-04-24 20:39:16 +03:00
c6caf8eef2 ggml-impl.h: fix build on POWER9 (llama/12855)
error: ISO C++17 does not allow 'register' storage class specifier
2025-04-24 20:39:16 +03:00
6cae79a1d7 CANN: Support Opt CONV_TRANSPOSE_1D and ELU (llama/12786)
* [CANN] Support ELU and CONV_TRANSPOSE_1D

* [CANN]Modification review comments

* [CANN]Modification review comments

* [CANN]name adjustment

* [CANN]remove lambda used in template

* [CANN]Use std::func instead of template

* [CANN]Modify the code according to the review comments

---------

Signed-off-by: noemotiovon <noemotiovon@gmail.com>
2025-04-24 20:39:16 +03:00
b9bfe0c693 vulkan: In coopmat2 mmq, load q4_k/q5_k scales through shared memory (llama/12833)
q4_k and q5_k had a lot of redundant global loads where the same 16B of
scale information is repeatedly loaded and decoded during each loop iteration.
This change restructures the loops to more explicitly iterate over whole
blocks in the outer loop (with unrolled inner loop) and to copy/decode the
scale data into shared memory once at the start of each outer loop. The copy
is pipelined so the scale load from global memory is relatively cheap.

This improves q4_k/q5_k model prompt processing performance by around 5-7%.
I briefly tried applying this to q6_k and q4_0, and it didn't help for q6_k
and hurt for q4_0.

The big "else" path in mul_mm_cm2.comp that had all the clamped/unclamped
variants isn't used as often as it originally was (e.g. due to the padded_N
change), so I trimmed it down to offset some of the new complexity of the
semi-manual loop unrolling.
2025-04-24 20:39:16 +03:00
1d50c6ac22 vulkan: Use fp16 for the flash attention P*V multiplication (llama/12783)
This is consistent with the ggml-cuda behavior and the mul_mat fallback.
2025-04-24 20:39:16 +03:00
79f23d9132 cuda : add f32 to bf16 copy op (llama/12806)
This allows BF16 KV-cache on CUDA.
2025-04-24 20:39:16 +03:00
ee2cbeeb74 llama : fix FA when KV cache is not used (i.e. embeddings) (llama/12825)
* ggml : FA supports F32 V

* graph : cast KV to F16 when the KV cache is not used

ggml-ci

* server : add test that exercises embeddings with FA enabled

ggml-ci
2025-04-24 20:39:16 +03:00
868a5ce310 ggml: don't include arm_neon.h when using CUDA 12 with ARM Neon (ggml/1187)
fix #1186
2025-04-24 20:39:16 +03:00
b9c71fae5a ggml : add bilinear upscale support (ggml/1185) 2025-04-24 20:39:16 +03:00
6d67c6d93d ggml : add more generic custom op, remove deprecated custom ops (ggml/1183)
* ggml : add more generic ggml_custom op

* ggml : remove deprecated custom ops
2025-04-24 20:39:16 +03:00
12cade118e Revert "sycl:remove redundant memcopy in function ggml_backend_sycl_buffer_set_tensor" (llama/12812)
* Revert "sycl: remove redundant memcopy in function ggml_backend_sycl_buffer_s…"

This reverts commit 518a01480eb3a7c80a4951b430db9dee55428310.

* Update ggml/src/ggml-sycl/ggml-sycl.cpp

* Update ggml/src/ggml-sycl/ggml-sycl.cpp

* rm tail space
2025-04-24 20:39:16 +03:00
fd1c725e65 opencl: better identify Adreno GPU (llama/12760) 2025-04-24 20:39:16 +03:00
d33fd00cfe cuda : fix HIP and MUSA BF16 (llama/0)
ggml-ci
2025-04-24 20:39:16 +03:00
3e0d89782a sycl: remove redundant memcopy in function ggml_backend_sycl_buffer_set_tensor (llama/12734) 2025-04-24 20:39:16 +03:00
7074b622eb CANN: fix typo in ggml-cann (llama/12733) 2025-04-24 20:39:16 +03:00
b8d3e45342 CANN: Refactor to reduce duplicate code (llama/12731)
* CANN: Refactor to reduce duplicate code

* CANN: fix review comment
2025-04-24 20:39:16 +03:00
1901505138 musa: fix compilation warnings in mp_22/31 (llama/12780)
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
2025-04-24 20:39:16 +03:00
3c26dd3353 vulkan: fix NaN issue in flash attention shader (llama/12776)
Use -FLT_MAX/2 rather than -inf as the initial value for computing the maximum.
2025-04-24 20:39:16 +03:00
d792d2a2dc vulkan: Use unclamped loads for flash attention mask (llama/12720)
nem1 must be a multiple of GGML_KQ_MASK_PAD, and GGML_KQ_MASK_PAD is a multiple
of the number of rows in the matrix. The KV dim is a multiple of the number of
columns for the aligned shader.
2025-04-24 20:39:16 +03:00
8add58aa5e Vulkan: Tune Vulkan mmq int dot shader for performance (llama/12767) 2025-04-24 20:39:16 +03:00
8f8ede1b12 sycl: allow ggml-sycl configuration and compilation using Visual Studio project/solution (llama/12625) 2025-04-24 20:39:16 +03:00
3a6fe8d767 cmake: fix ggml-shaders-gen compiler paths containing spaces (llama/12747)
fixes error for compiler paths with spaces
2025-04-24 20:39:16 +03:00
76231bda56 vulkan: Hybrid waitForFences/getFenceStatus to reduce fence latency (llama/12630)
There seems to be a bubble waking up from waitForFences, which costs a few
percent performance and also increased variance in performance. This change
inserts an "almost_ready" fence when the graph is about 80% complete and we
waitForFences for the almost_ready fence and then spin (with _mm_pauses) waiting
for the final fence to be signaled.
2025-04-24 20:39:16 +03:00
785437c253 vulkan: set cmake minimum and project name in vulkan-shaders (llama/12744) 2025-04-24 20:39:16 +03:00
2f0612cb1c CUDA: Prefer vector flash decoding kernel for Gemma models (llama/12738)
* Prefer vector flash decoding kernel for Gemma models

Vector flash decoding kernel was not being picked for models with head dimension 256. Gemma models are in this category.
Removing this limit improves e2e performance by upto 12% in gen phase throughput for Gemm models.

* Update ggml/src/ggml-cuda/fattn.cu

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>

---------

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2025-04-24 20:39:16 +03:00
e944065d5b vulkan: Fix missing cmake logic for dot product extension (llama/12721) 2025-04-24 20:39:16 +03:00
ccc7b5df0b fix MUSA compiler warning (llama/12704)
* fix MUSA compiler warning

* replace (void) with GGML_UNUSED
2025-04-24 20:39:16 +03:00
fbed36851e CANN: Support operator SIN COS ARGMAX (llama/12709)
* [CANN]support sin cos argmax

Signed-off-by: noemotiovon <noemotiovon@gmail.com>

* [CANN]codestyle adjustment

Signed-off-by: noemotiovon <noemotiovon@gmail.com>

* [CANN]Remove redundant code

Signed-off-by: noemotiovon <noemotiovon@gmail.com>

---------

Signed-off-by: noemotiovon <noemotiovon@gmail.com>
Co-authored-by: noemotiovon <noemotiovon@gmail.com>
2025-04-24 20:39:16 +03:00
d1d847f184 Simplify and improve CUDA graphs through use of indirect copy pointers (llama/9017)
* CUDA: Simplify and improve CUDA graphs through use of indirect copy pointers

Previously there was complexity in the CUDA graphs implementation due
frequently changing parameters to copy kernels associated with K and V
cache pointers. This patch simplifies by using indirection to avoid
such parameters frequently changing, avoiding the need for frequent
graph updates.

Fixes #12152

* Addressed comments

* fix HIP builds

* properly sync to stream

* removed ggml_cuda_cpy_fn_ptrs

* move stream sync before free

* guard to only use indirection with graphs

* style fixes

* check for errors

---------

Co-authored-by: slaren <slarengh@gmail.com>
2025-04-24 20:39:16 +03:00
337f91d4a6 CANN: Fix failed test cases (llama/12708)
* CANN: Fix memory waste in aclnn_tensor

* CANN: fix backend ops fail

* CANN: fix acl_tensor memory alloc.

* CANN: format

* CANN: remove trailing whitespace
2025-04-24 20:39:16 +03:00
317a0031f9 opencl: use max_alloc_size in backend ctx instead of querying again (llama/12705) 2025-04-24 20:39:16 +03:00
b243416918 vulkan: Implement split_k for coopmat2 flash attention. (llama/12627)
When using group query attention, we have one workgroup per KV batch and this
can be very few workgroups (e.g. just 8 in some models). Enable split_k to
spread the work across SMs. This helps a lot when the KV cache is large.
2025-04-24 20:39:16 +03:00
6e532c7187 cmake: remove caching from vulkan coopmat checks (llama/12719) 2025-04-24 20:39:16 +03:00
2105b110d3 vulkan: Implement grouped query attention in the coopmat2 FA shader (llama/12559)
When adjacent batches of Q share the same batches of K/V, batch them into
the same workgroup. For example, when:

dst(128,32,1,1) = FA(q(128,1,32,1), k(128,16640,8,1), v(128,16640,8,1))

previously we would run 32 workgroups computing 1 result each, now we will
run 8 workgroups computing 4 results each.

This doesn't directly translate to better performance (at least when you have
>=32 SMs), but in a subsequent change I'll enable split_k which will scale much
better with 4x fewer workgroups.
2025-04-24 20:39:16 +03:00
f82622180f Vulkan: Fix mmq int dot float cache size (llama/12722) 2025-04-24 20:39:16 +03:00
a71c64512a llama : add option to override model tensor buffers (llama/11397)
* llama : add option to override tensor buffers

* ggml : fix possible underflow in ggml_nbytes
2025-04-24 20:39:16 +03:00
1e9c2f87f1 ggml : simplify Arm fp16 CPU logic (ggml/1177)
* ggml : simlpify Arm fp16 CPU logic

ggml-ci

* cont : bring back CUDA/MUSA checks

ggml-ci
2025-04-24 20:39:16 +03:00
06ce8f83e6 CUDA: don't convert BF16 weights to FP32 (ggml/1174)
* add bf16 support

* use convert_from_bf16_cuda instead of convert_unary_cuda for f32

* revert 7ec5085

* move functionality into convert_unary with constexpr
2025-04-24 20:39:16 +03:00
8b92060a10 coreml : set convert_to="mlprogram" in convert
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* coreml : skip model load in convert-whisper-to-coreml.py

This commit updates the conversion process for Whisper models to use the
"mlprogram" format instead of "neuralnetwork".

The motivation for this change is that when using the "neuralnetwork"
format the underlying model produced is based on protobuf and my
understanding is that there are limitations to this format, such as
sizes of strings and the complexity of the model.

Currently when trying to convert larger models such as large-v3 the
conversion fails but succeeds for smaller models.

The "mlprogram" format is a more recent addition to CoreML and is
designed to be more flexible and powerful, allowing for more complex
models and larger data types. This seems to work for larger and smaller
models alike and unless I'm there are considerations that I'm not aware
of I think this is what we should be using moving forward.
The error that is generated for large models is the following:
```console
Running MIL backend_neuralnetwork pipeline: 100%|█████████| 9/9 [00:00<00:00, 35.44 passes/s]
Translating MIL ==> NeuralNetwork Ops: 100%|███████████| 5641/5641 [03:31<00:00, 26.65 ops/s]
Traceback (most recent call last):
  File "/Users/danbev/work/ai/whisper-work/models/convert-whisper-to-coreml.py", line 322, in <module>
    encoder = convert_encoder(hparams, encoder, quantize=args.quantize)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/danbev/work/ai/whisper-work/models/convert-whisper-to-coreml.py", line 255, in convert_encoder
    model = ct.convert(
            ^^^^^^^^^^^
  File "/Users/danbev/work/ai/whisper-work/venv/lib/python3.11/site-packages/coremltools/converters/_converters_entry.py", line 635, in convert
    mlmodel = mil_convert(
              ^^^^^^^^^^^^
  File "/Users/danbev/work/ai/whisper-work/venv/lib/python3.11/site-packages/coremltools/converters/mil/converter.py", line 186, in mil_convert
    return _mil_convert(
           ^^^^^^^^^^^^^
  File "/Users/danbev/work/ai/whisper-work/venv/lib/python3.11/site-packages/coremltools/converters/mil/converter.py", line 245, in _mil_convert
    return modelClass(
           ^^^^^^^^^^^
  File "/Users/danbev/work/ai/whisper-work/venv/lib/python3.11/site-packages/coremltools/models/model.py", line 489, in __init__
    self.__proxy__, self._spec, self._framework_error = self._get_proxy_and_spec(
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/danbev/work/ai/whisper-work/venv/lib/python3.11/site-packages/coremltools/models/model.py", line 550, in _get_proxy_and_spec
    _MLModelProxy(
ValueError: basic_string
```

Refs: https://github.com/ggml-org/whisper.cpp/issues/3012
2025-04-23 08:24:38 +02:00
7858eddd10 ci : disable freeBSD job in build.yml (#3064)
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This commit disables the FreeBSD job in build.yml of the GitHub Actions
workflow.

The motivation for this is that this job seems to stall and timeout from
time to time, taking up to 6 hours to complete/cancel.
2025-04-22 11:07:54 +02:00
3a88f1e504 examples : add HEAPU8 to exported runtime methods (#3062)
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This commit adds `HEAPU8` to the list of exported methods.

The motivation for this commit is that currently this is causing an
error on Window systems where HEAPU8 in undefined, which results in the
following error message in the web console:
```console
main.js:1 Uncaught TypeError:
Cannot read properties of undefined (reading 'buffer') at __emval_get_property
(main.js:1:1363125) at 003a453a:0xc4a47 at 003a453a:0xc51cd at
Object.full_default (eval at craftInvokerFunction (main.js:1:1347011),
<anonymous>:9:10) at whisper.cpp/:647:42
```

Resolves: https://github.com/ggml-org/whisper.cpp/issues/3059
2025-04-20 19:40:25 +02:00
f0d2bfbfb7 ruby : make Ruby bindings installed with build options (#3056)
* Fix signature of URI.new7s return value

* Use path instead of string | _ToPath

* Add document comment to RBS

* Remove unnecessary build flags

* Remove unnecessary line

* Remove files have become unnecessary

* Make gem install accept build options for whisper.cpp

* Add instraction for build options in README

* Add methods for check to Options

* Test build options

* Rename: configs -> options

* Add assert_installed assertion

* Use assert_installed

* Remove unused attribute

* Extract dependency check logic as Dependencies class

* Update README

* Add WHISPER_FFMPEG option

* Test extra build options only on local test

* Bump version to 1.3.2 [skip ci]
2025-04-17 18:49:58 +09:00
170b2faf75 whisper : add no_context parameter to whisper_params (#3045)
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2025-04-16 06:24:38 +02:00
f8a3509b6d examples : add FFmpeg v7.0 support to ffmpeg-transcode.cpp (#3038)
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FFmpeg introduced a new channel layout API that uses `AVChannelLayout`
interface in v6.0. It subsequently dropped the old bitmask-based API
in v7.0.

This updates decode_audio() to support the new channel layout API,
so that we can compile `whisper-cli` and `whisper-server` with FFmpeg
v7.0 or later.

Tested on on Ubuntu 24.10 with FFmpeg v7.0.2.

Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net>
2025-04-15 06:09:00 +02:00
2a2d21c75d ruby: use CMake in build process (#3043)
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* Use CMake to build shared object

* Make Rakefile follow change of build process

* Add test for packaging

* Run CI for Ruby bindings almost always

because each CMakeLists.txt might affect Ruby bindings

* Enable PIC

* Bump Ruby version to 3.2 on CI

* Check libgomp

* Check dependency of whisper.cpp accurately
2025-04-14 18:18:27 +09:00
9cfcd6cc45 docs : update README.md to note newer nvidia gpus (#3031)
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Resolves: https://github.com/ggml-org/whisper.cpp/issues/3030
2025-04-11 08:54:51 +02:00
e853620270 addon.node : support max_context api for addon.node (#3025)
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* feat: support max content

* feat: show api in test file

---------

Co-authored-by: linxiaodong <calm.lin@wukongsch.com>
2025-04-11 06:36:38 +02:00
549db9376f whisper : reduce delta_min from 1000ms to 100ms (#3028)
ggml-ci
2025-04-11 06:23:02 +02:00
33a25e4dda docs : document how to use 'WHISPER_FFMPEG' build option (#3029)
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FFmpeg integration was introduced in 1b51fdf by William Tambellini,
but not mentioned in the main documentation.

Add a short guide on how to enable the feature. Confirmed to work
on both Ubuntu 24.04 and Fedora 39.

Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net>
2025-04-10 18:21:38 +02:00
43f5030aeb docs : fix README.md (#3024)
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2025-04-09 19:49:37 +02:00
cf794133de xcf : use check for visionos build version (#3021)
This commit adds a check for the visionos build version used with vtool
in build-xcframework.sh. The script now checks the Xcode version and
determines whether to use "xros" or "visionos" for the build version.

This commit also uses xcrun for the vtool so that the version of vtool
in xcode command line tools is used instead of the one in the system
path.

Refs: https://github.com/ggml-org/whisper.cpp/pull/2994#issuecomment-2773292223
2025-04-09 16:34:58 +02:00
ef6cf357e7 ruby : fix types of arguments for rb_get_kwargs in ruby_whisper_params.c (#3022)
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Change param_names and values not to be references for rb_get_kwargs - so it can be compiled on ruby 3.3.6 and 3.4.1
2025-04-09 20:49:25 +09:00
b1f5c11b32 ruby : Update uri.rb (#3016)
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Bugfix ... without this Pathname the "/" operator wouldn't work and will throw an error
2025-04-08 22:27:40 +09:00
ada745f4a5 models : fix dead link to models in readme (#3006)
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2025-04-06 08:29:41 +03:00
01985c22c0 ruby : change homepage URI in Ruby gemspec (#3007)
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2025-04-05 07:55:09 +03:00
448f3d3b93 tests : add script to benchmark whisper.cpp on LibriSpeech corpus (#2999)
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* tests : add script to benchmark whisper.cpp on LibriSpeech corpus

LibriSpeech is a widely-used benchmark dataset for training and
testing speech recognition models.

This adds a set of scripts to measure the recognition accuracy of
whisper.cpp models, following the common benchmark standards.

Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net>

* Document how to prepare `whisper-cli` and model files

Feedback from Daniel Bevenius.

This adds a short code example how to prepare the `whisper-cli`
command, to make the initial setup step a little bit clearer.

Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net>

* tests : Simplify how to set up Python environment

Based on a feedback from Georgi Gerganov.

Instead of setting up a virtual environment in Makefile, let users
set up the Python environment. This is better since users may have
their own preferred workflow/toolkit.

Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net>

---------

Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net>
2025-04-04 19:51:26 +03:00
e6234cd435 whisper : fix "bench-all outputs an invalid result on larger models" (#3002)
The benchmark script 'scripts/bench-all.sh' assumes that the 11th
field of the output line is a timestamp. This assumption does not
hold when the target model takes a bit longer to process.

Fix this issue by introducing an explicit whitespace to the output
lines of `whisper_print_timings()`.

Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net>
2025-04-04 18:36:19 +03:00
2b6d0d2200 rename : ggerganov -> ggml-org (#3005) 2025-04-04 16:11:52 +03:00
0b17d4507e examples : update server.py to match github pages app [no ci] (#3004)
This commit updates examples/server.py which is used to serve the wasm
examples locally. The changes include:

- Added a redirect from the root URL to /whisper.cpp.
  So now accessing http://localhost:8000/ will redirect to
  http://localhost:8000/whisper.cpp/ which matches the url for the app
  deployed to github pages.

- Custom handling for coi-serviceworker.js to serve it to avoid
  and error in the console. This file is not strictly necessary
  for the local server to work as the headers are provided already but
  it is nice to not have an error in the console.

- Fixed the shutdown of the server to ensure it exits cleanly
  on Ctrl+C. Previously it would continue to hang onto the port even
  after the processed had exited.
2025-04-04 10:23:53 +02:00
77e0c86ab6 whisper.wasm : fix unknown language issue (#3000)
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* whisper.wasm : fix unknown language issue

This commit addresses an issue with whisper.wasm where the following
error was being displayed when running the application in github pages:
```
whisper_lang_id: unknown language 'д=␙c'
```

This turned out to be a memory corruption issue and further details
can be found in the reference issue below.

Refs: https://github.com/ggerganov/whisper.cpp/issues/2998
2025-04-03 19:50:47 +02:00
eac1bc9c47 examples : add new sources
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ggml-ci
2025-04-03 10:30:16 +03:00
cbde66d913 sync : ggml 2025-04-03 10:30:16 +03:00
513ecf8dc0 cpu: move all the operators into a separate c++ file (except mul_mat) (ggml/1167)
* cpu: refactor SIMD mappings and vectorized op functions into separate files

* Fix warning for ggml_float to float

* Fix warnings

* cpu: move all the operations (except mul_mat) to a separate c++ file

* fix whitespace

* Update ggml/src/ggml-cpu/vec.h

Co-authored-by: Diego Devesa <slarengh@gmail.com>

* Fix PR comments - use GGML_UNUSED, use cassert in ops.cpp

* Reverse the order of import for ops.h and vec.h, to match what was present in ggml-cpu.c previously

---------

Co-authored-by: Diego Devesa <slarengh@gmail.com>
2025-04-03 10:30:16 +03:00
cce5daf17b docs : add xcframework section to README.md [no ci] (#2997)
This adds a section to the README.md file that describes how to use the
XCFramework.

The modification for this is that is not obvious how to use the
XCFramework and and example will help.
One thing to note is that the example is using the latest release
including the checksum. We are thinking about how we might automate
this in the future but for now this is a good start.
2025-04-03 09:06:53 +02:00
2c502b3c00 readme : update roadmap link
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2025-04-02 17:38:35 +03:00
51c6961c7b release : v1.7.5 2025-04-02 16:39:48 +03:00
503a786c9a bench : update numbers [no ci] (#2993) 2025-04-02 16:27:36 +03:00
ad4e350933 sync : ggml
ggml-ci
2025-04-02 15:51:57 +03:00
d7a9346ab1 get_rows and dup optimization (llama/12671)
* [CANN]get_rows and dup optimization.

Co-authored-by: hipudding <huafengchun@gmail.com>
Signed-off-by: noemotiovon <noemotiovon@gmail.com>

* [CANN]GET_ROWS and CPY/DUP optimization

Co-authored-by: hipudding <huafengchun@gmail.com>
Signed-off-by: noemotiovon <noemotiovon@gmail.com>

* [CANN]code style adjustment

Signed-off-by: noemotiovon <noemotiovon@gmail.com>

* [CANN]code style adjustment

Signed-off-by: noemotiovon <noemotiovon@gmail.com>

* [CANN]code style adjustment

Signed-off-by: noemotiovon <noemotiovon@gmail.com>

* [CANN]code style adjustment

Signed-off-by: noemotiovon <noemotiovon@gmail.com>

---------

Signed-off-by: noemotiovon <noemotiovon@gmail.com>
Co-authored-by: noemotiovon <noemotiovon@gmail.com>
Co-authored-by: hipudding <huafengchun@gmail.com>
2025-04-02 15:51:57 +03:00
b63d23f728 opencl : fix memory allocation size (llama/12649)
issue:
https://github.com/CodeLinaro/llama.cpp/pull/17#issuecomment-2760611283

This patch fixes the memory allocation size
not exceeding the maximum size of the OpenCL device.
2025-04-02 15:51:57 +03:00
f6ce10e4a1 metal : use F32 prec in FA kernels (llama/12688)
* metal : use F32 prec in FA kernels

ggml-ci

* cont : fix FA vec kernel

ggml-ci
2025-04-02 15:51:57 +03:00
6cb2b86581 Fix clang warning in gguf_check_reserved_keys (llama/12686)
* Fix clang warning in gguf_check_reserved_keys

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* Fix typo

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

---------

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
2025-04-02 15:51:57 +03:00
801d6bd809 vulkan: fix build when glslc doesn't support coopmat (llama/12683) 2025-04-02 15:51:57 +03:00
ddf7e6a15d SYCL: Rename oneMKL to oneMath (llama/12192)
* Rename oneMKL Interface to oneMath

* Use oneMath for Intel vendor

* Rename occurences to mkl

* clang-format

* Silence verbose warnings

* Set oneMath HIP_TARGETS

* Fix silence warnings

* Remove step to build oneMath from build instructions

* Use fixed oneMath version

* Remove INTEL_CPU

* Fold CMake oneDNN conditions

* Use Intel oneMKL for Intel devices

* Improve CMake message

* Link against MKL::MKL_SYCL::BLAS only

* Move oneMath documentation to Nvidia and AMD sections
2025-04-02 15:51:57 +03:00
0d42097fd3 SYCL: switch to SYCL namespace (llama/12674) 2025-04-02 15:51:57 +03:00
842b9c984c ggml : faster ssm scan (llama/10558)
* faster ssm_scan

* delete unused commnet

* clang format

* add space

* modify unnecessary calculations

* faster ssm conv implementatioin

* modify file name with dash
2025-04-02 15:51:57 +03:00
0810f02547 Vulkan: Add DP4A MMQ and Q8_1 quantization shader (llama/12135)
* Vulkan: Add DP4A MMQ and Q8_1 quantization shader

* Add q4_0 x q8_1 matrix matrix multiplication support

* Vulkan: Add int8 coopmat MMQ support

* Vulkan: Add q4_1, q5_0 and q5_1 quants, improve integer dot code

* Add GL_EXT_integer_dot_product check

* Remove ggml changes, fix mmq pipeline picker

* Remove ggml changes, restore Intel coopmat behaviour

* Fix glsl compile attempt when integer vec dot is not supported

* Remove redundant code, use non-saturating integer dot, enable all matmul sizes for mmq

* Remove redundant comment

* Fix integer dot check

* Fix compile issue with unsupported int dot glslc

* Update Windows build Vulkan SDK version
2025-04-02 15:51:57 +03:00
8c13c78f9d cmake : fix whitespace (llama/0) 2025-04-02 15:51:57 +03:00
f31b404fcb tests : remove gh label test-whisper-cli-tiny-en (#2988)
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This commit removes test-whisper-cli-tiny-en from the gh label.

The motivation for this change is that until recently the tests were
disabled. But now that they are enabled some of the tests, specifically
the ci jobs that use sanatizers (e.g. thread-sanitizer) take a long time
to run as they are instrumented.
Some of these jobs also have matricies which means that there are
multiple jobs are created that all run these tests.
The suggestion here is to limit the number of tests that are run in the
ci jobs so cut down the CI build time.
2025-04-02 10:50:31 +02:00
854c0518bc examples : clarify Core ML encoder model usage [no ci] (#2987)
This commit clarifies the usage of the Core ML encoder model in the
whisper.obj and whisper.swiftui examples.

Refs: https://github.com/ggerganov/whisper.cpp/issues/2783
2025-04-02 08:32:14 +02:00
c8e3968edd ci : remove intermediate build on push to master (#2986)
This commit removes the builds that happen on each push to master.

Refs: https://github.com/ggerganov/whisper.cpp/discussions/2983#discussioncomment-12691424
2025-04-02 08:29:28 +02:00
b358de2458 whisper.objc : fix typo in README.md [no ci] (#2985)
This commit fixes a typo in the README.md file of the whisper.objc
example.

Resolves: https://github.com/ggerganov/whisper.cpp/issues/2984
2025-04-02 08:26:57 +02:00
11688b262f coreml: fix Whisper to CoreML conversion by disabling SDPA [no ci] (#2979)
* coreml: fix Whisper to CoreML conversion by disabling SDPA

This commit disables the use of PyTorch's
`scaled_dot_product_attention` in the Whisper model to avoid
compatibility issues during CoreML conversion.
The issue occurs because coremltools requires PyTorch 2.5.0, but the
Whisper implementation may expect behavior from newer PyTorch versions.

By setting `MultiHeadAttention.use_sdpa = False`, we force Whisper to
use its fallback manual attention implementation, which works correctly
with PyTorch 2.5.0 during the tracing process.

Refs: https://github.com/ggerganov/whisper.cpp/issues/2783

* coreml: fix audio shape in whisper decoder conversion

This commit fixes the audio shape in the whisper decoder conversion
script.

The motivation for this is that the  audio shape was incorrect and
was causing the conversion to fail.

* coreml : set -e in generate-coreml-interface.sh

The commit sets the -e flag in the generate-coreml-interface.sh script
to make sure the script fails if any command fails.

* coreml : update generated encoder/decoder interfaces

This commit updates the generated encoder/decoder interfaces for the
whisper model which is the result of running the
generate-coreml-interface.sh script.
2025-04-01 18:01:23 +02:00
04b9508fb3 ci : add coreml job that converts base.en to coreml [no ci] (#2981)
* ci : add coreml job that converts base.en to coreml [no ci]

This commit adds a new job to the CI pipeline that downloads the base.en
model and converts it to CoreML format. The CoreML model is then packed
into a zip file and uploaded as an artifact.

This will only be done for pushes to master, releases, or pre-releases.

Refs: https://github.com/ggerganov/whisper.cpp/issues/2783

* coreml : remove publishing of coreml model

* ci : add GGML_OPENMP=OFF to ubuntu-22-gcc-sanitized
2025-04-01 17:04:32 +02:00
4200430e75 tests : re-enable tests [no ci] (#2977)
This commit re-enables the tests in the build process which are
currently commented out.

It is possible to build the tests using `-DWHISPER_BUILD_TESTS=ON` and
then run a single test using:
```console
$ ctest -R test-whisper-cli-tiny.en --test-dir build
Internal ctest changing into directory: /home/danbev/work/ai/whisper-work/build
Test project /home/danbev/work/ai/whisper-work/build
    Start 2: test-whisper-cli-tiny.en
1/1 Test #2: test-whisper-cli-tiny.en .........   Passed    4.44 sec

100% tests passed, 0 tests failed out of 1

Label Time Summary:
en      =   4.44 sec*proc (1 test)
gh      =   4.44 sec*proc (1 test)
tiny    =   4.44 sec*proc (1 test)

Total Test time (real) =   4.44 sec
```

Some of the tests take a long time to run so it might not be a good idea
to enable them in CI, or perhaps we could only run a subset of the tests
in CI.
2025-03-31 17:04:37 +02:00
e153b8eaa2 android.java : re-add ggml source updates (#2975)
This commit updates the ggml source to include the new unary and binary
operations. I merged https://github.com/ggerganov/whisper.cpp/pull/2958
which seems to have overwritten the changes to the ggml source which
were added in https://github.com/ggerganov/whisper.cpp/pull/2972.

Sorry about this.
2025-03-31 16:14:33 +02:00
83af237f0b ci : re-enable freeBDS-latest job (#2973)
This commit re-enables the freeBSD-latest job which has been commented
out.

Refs: https://github.com/ggerganov/whisper.cpp/issues/2781
2025-03-31 15:24:08 +02:00
7a2e39750a ci : re-enable android_java job (#2958)
This commit re-enables the android_java job in the CI workflow. The job
was disabled because of a failing build.

The motivation for this is that Commit
226d344f56 ("whisper.android.java : update
build with ggml source changes") addressed build issues and it should
now be possible to re-enable this job.
2025-03-31 15:14:24 +02:00
0a40ae9728 android : add new ggml source files
ggml-ci
2025-03-31 14:56:53 +03:00
32cfdcbf42 ruby : add new ggml sources
ggml-ci
2025-03-31 14:56:53 +03:00
cfa42aca09 sync : ggml
ggml-ci
2025-03-31 14:56:53 +03:00
2e2f0f954b SYCL: Remove misleading ggml_sycl_op_flatten function (llama/12387)
* SYCL: Remove misleading ggml_sycl_op_flatten function

* remove trailing whitespace

* Fix L2 norm from rebase

* remove try catch block from element_wise.cpp

* remove comment from common.hp

* ggml-sycl.cpp: Add try catch sycl::exception block in compute_forward

* norm.cpp: remove try catch exception block
2025-03-31 14:56:53 +03:00
93631b2be6 metal : use constexpr in FA kernels + fix typedef (llama/12659)
* metal : use constexpr in FA kernels

ggml-ci

* cont

ggml-ci

* cont : fix typedef

ggml-ci
2025-03-31 14:56:53 +03:00
f9015b585b musa: fix all warnings, re-enable -DLLAMA_FATAL_WARNINGS=ON in ci and update doc (llama/12611)
* musa: fix all warnings

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* musa: enable -DLLAMA_FATAL_WARNINGS=ON in run.sh

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* musa: update ci doc (install ccache)

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* fix Windows build issue

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* Address review comments

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* Address review comments

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

---------

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
2025-03-31 14:56:53 +03:00
Jay
1880ffd7ff cmake : fix ccache conflict (llama/12522)
If users already set CMAKE_C_COMPILER_LAUNCHER globally, setting it in
cmake again will lead to conflict and compile fail.

Signed-off-by: Jay <BusyJay@users.noreply.github.com>
2025-03-31 14:56:53 +03:00
9173932c78 cpu : rm unused variable (ggml/1166) 2025-03-31 14:56:53 +03:00
94c3f3877f cpu: de-duplicate some of the operators and refactor (ggml/1144)
* cpu: de-duplicate some of the operators and refactor

* Fix PR comments

* Fix PR comments
2025-03-31 14:56:53 +03:00
00086469fb cmake: improve Vulkan cooperative matrix support checks (#2966)
Co-authored-by: Sandro Hanea <me@sandro.rocks>
2025-03-31 13:44:36 +03:00
2d8e40e2a0 examples : update README links to point to pages deployment (#2971)
This commit updates the README links to point to the pages deployment
instead of whisper.ggerganov.com.
2025-03-31 12:32:27 +02:00
e17af6524f ci : add github pages workflow for wasm examples (#2969)
* ci : add github pages workflow for wasm examples

This commit adds a github workflow to build and deploy the wasm examples
to github pages. The whisper.wasm example is deployed as the main page.

This workflow is trigged by a push to master and will deploy the
examples to: https://ggerganov.github.io/whisper.cpp/.

This requires that the repository has enabled github actions in
`Settings` -> `Pages` -> `Build and deployment` -> `Source` be set to
`GitHub Actions`.

One thing to note is that this commit removes the `talk` example as I'm
not sure how this example is built yet.

Refs: https://github.com/ggerganov/whisper.cpp/issues/2784
2025-03-31 11:34:40 +02:00
88d13a17a7 feat: add health check endpoint to server (#2968)
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2025-03-31 11:03:41 +03:00
f92bd59951 whisper : remove unnecessary GGML_UNUSED macro (#2960)
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2025-03-30 05:56:10 +02:00
6e7629b146 sync : ggml
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ggml-ci
2025-03-28 21:47:42 +02:00
27533e7f63 metal : improve FA + improve MoE (llama/12612)
* ggml : FA with different K, V head sizes (CPU)

ggml-ci

* metal : add FA with HS=192

* metal : extend FA to support different K and V head sizes

ggml-ci

* metal : add FA vector kernels for heads K 192 and V 128

ggml-ci

* ggml : restrict op on other backends to equal head sizes

ggml-ci

* metal : optimize FA-vec kernel

ggml-ci

* metal : FA remove mq registers

* metal : improve MoE mul_mat_id condition

ggml-ci

* metal : fix comments + remove unnecessary addition

ggml-ci

* metal : avoid too much shared memory usage with mul_mat_id

ggml-ci
2025-03-28 21:47:42 +02:00
1b81415963 vulkan: fix coopmat shader generation when cross-compiling (llama/12272)
* vulkan: fix coopmat shader generation when cross-compiling

Previously the status of coopmat{,2} support isn't passed to the
vulkan-shaders-gen project building on the host, which leads to build
failure because of the cross-compiling code expecting coopmat{,2}
shaders that didn't get generated.

Fix this by passing the coopmat{,2} support status to vulkan-shaders
subproject.

Signed-off-by: Icenowy Zheng <uwu@icenowy.me>

* Only call coop-mat shaders once

* Fix whitespace

---------

Signed-off-by: Icenowy Zheng <uwu@icenowy.me>
Co-authored-by: bandoti <141645996+bandoti@users.noreply.github.com>
2025-03-28 21:47:42 +02:00
0001ec075f llamafile : ppc64le GEMV forwarding for FP32. (llama/12594)
This patch enables usage of MMA when one of the
dimensions of the matrix(ie either M or N) is 1. This
is useful in case of token generation where N < 2.

The concept of 'GEMV Forwarding' is used where when one
of the matrix has a single row/column, the elements are
broadcasted, instead of using packing routine to prepack
the matrix elements.

This change results in 5% - 15% improvement in total
speed(ie all tokens/total time), across various batch
sizes. This is in comparision with the corresponding
dot product implementation.

The patch is tested with FP32 models of Meta-Lllama-3-8B,
Mistral-7B, Llama-2-7B-chat-hf on a IBM POWER10 machine.

Signed-off-by: Amrita H S <amritahs@linux.vnet.ibm.com>
2025-03-28 21:47:42 +02:00
5bad2e5099 rpc : send hash when tensor data is above some fixed threshold (llama/12496)
* rpc : send hash when tensor data is above some fixed threshold

ref #10095

* rpc : put cache under $HOME/.cache/llama.cpp

* try to fix win32 build

* another try to fix win32 build

* remove llama as dependency
2025-03-28 21:47:42 +02:00
6fc0ae2f5a opencl: add multi and vision rope, gelu_quick and im2col (llama/12600)
* opencl: add `im2col`

* opencl: add `gelu_quick`

* opencl: add mrope

* opencl: add vision rope
2025-03-28 21:47:42 +02:00
de6b38c6d9 bindings.go : add DetectedLanguage to go bindings (#2947)
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Adding in DetectedLanguage(), a function to retrieve the detected
language that's populated by processing audio. Also adding in a unit
test to test the success.

Co-authored-by: Amanda Der Bedrosian <aderbedrosian@sdl.com>
2025-03-28 12:26:22 +01:00
46d6e0abc1 ruby : fix test failures in test_whisper (#2955)
* bindings.ruby : fix test failures in test_whisper

This commit updates the parallel tests to use 2 processors instead of
the number of processors on the system. It also comments out the setting
of the log callback to an empty lambda as this causes a segfault when
enabled.

The motivation for the change to the number of processors is that if one
has a large number of processors, for example I have 16 on the machine I
used to test this, this would cause the following warning to be printed:
```console
whisper_full_with_state: input is too short - 680 ms < 1000 ms. consider padding the input audio with silence
```

This is logged from:
```c++
int whisper_full_with_state(
        struct whisper_context * ctx,
          struct whisper_state * state,
    struct whisper_full_params   params,
                   const float * samples,
                           int   n_samples) {
   ...
    if (seek_end < seek_start + 100) {
        WHISPER_LOG_WARN("%s: input is too short - %d ms < 1000 ms. consider padding the input audio with silence\n", __func__, (seek_end - seek_start)*10);
        return 0;
    }
```
This will return early and there will be segment callbacks to be invoked
which in turn will cause the tests to fail.

* bindings.ruby : fix warnings in tests

This commit fixes the following warnings in the Ruby tests:
```console
/whisper/bindings/ruby/tests/test_segment.rb:52:
warning: ambiguity between regexp and two divisions:
wrap regexp in parentheses or add a space after `/' operator
```
And also adds a '_' prefix to some unused variables to avoid warnings.

* bindings.ruby : enable Wisper.log_set in tests

The commit reverts the commenting out of the Whisper.log_set call in
the test_whisper.rb tests.

I'm no longer getting segfaults when running the tests with this
which was the case earlier. One theory could be that I rebased this to
include the latest ggml sync to master to make sure things still worked.
With the latest changes in ggml, I can't reproduce the segfaults.
2025-03-28 17:29:56 +09:00
1279f0d0bc examples : support progress_callback API for addon.node (#2941)
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* feat: progress supported

* fix: missing params

* style: Format the code to improve readability

Unified code indentation ensures consistent coding style, enhancing code readability and maintainability.

* feat: support prompt api

---------

Co-authored-by: linxiaodong <calm.lin@wukongsch.com>
2025-03-28 06:34:26 +01:00
f28bf5d186 xcf : fix visionOS build
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ref: https://github.com/ggml-org/llama.cpp/pull/12415

ggml-ci
2025-03-27 11:06:03 +02:00
1fbdfb1d36 files : remove old wkv6 (#0)
ggml-ci
2025-03-27 11:06:03 +02:00
ee5581633b sync : ggml
ggml-ci
2025-03-27 11:06:03 +02:00
8ca67df291 ggml : sync/merge cmake,riscv,powerpc, add common.cmake (ggml/0) 2025-03-27 11:06:03 +02:00
fc6d343e76 llamafile : ppc64le MMA implementation for Q4_0. (llama/12489)
This change upstreams llamafile's cpu matrix
multiplication kernels for ppc64le ISA using MMA
builtins. This patch handles matrix multiplication
between quantised datatypes, block_q4_0 and
block_q8_0.

This change results in 5% - 50% improvement
in total speed(ie all tokens/total time), across
various batch sizes.

The patch is tested with Meta-Lllama-3-8B,
Mistral-7B, Llama-2-7B-chat-hf models on a
IBM POWER10 machine.

Signed-off-by: Amrita H S <amritahs@linux.vnet.ibm.com>
2025-03-27 11:06:03 +02:00
3199356d3a SYCL: implement memset ggml backend buffer interface (llama/12580)
* SYCL: implement memset ggml backend buffer interface

* use GGML_ABORT macro

* Do not wait for all queues to finish for memset operation
2025-03-27 11:06:03 +02:00
e0c43b0bbf HIP: Add support for RDNA4 targets (llama/12372) 2025-03-27 11:06:03 +02:00
f4f619ea8e metal : refactor mat-vec code (llama/12569)
* metal : refactor mat-vec code

ggml-ci

* metal : rename all_sum -> sum_all

ggml-ci

* metal : fix comments [no ci]

* metal : fix nr constant [no ci]

* metal : mv q6_K support nr0 > 1

ggml-ci

* metal : reduce register pressure

ggml-ci

* metal : fix typo [no ci]

* metal : reduce register pressure

ggml-ci
2025-03-27 11:06:03 +02:00
3c4d363872 ggml : fix MUL_MAT_ID repack with Q8_K (llama/12544)
* ggml : fix MUL_MAT_ID repack with Q8_K

ggml-ci

* ggml : improve repack templates

ggml-ci
2025-03-27 11:06:03 +02:00
15aa189329 ggml-cpu : update KleidiAI to v1.5.0 (llama/12568)
ggml-cpu : bug fix related to KleidiAI LHS packing

Signed-off-by: Dan Johansson <dan.johansson@arm.com>
2025-03-27 11:06:03 +02:00
c53d5c9e85 SYCL: disable Q4_0 reorder optimization (llama/12560)
ggml-ci
2025-03-27 11:06:03 +02:00
ba6f584f30 opencl: simplify kernel embedding logic in cmakefile (llama/12503)
Co-authored-by: Max Krasnyansky <quic_maxk@quicinc.com>
2025-03-27 11:06:03 +02:00
a219941812 CUDA: Fix clang warnings (llama/12540)
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
2025-03-27 11:06:03 +02:00
a2cc8c2666 vulkan: fix mul_mat_vec failure in backend tests (llama/12529)
The OOB calculation could be wrong if the last iteration was during one of
the unrolled loops. Adjust the unrolling counts to avoid this. Add a couple
new backend tests that hit this failure on NVIDIA GPUs.
2025-03-27 11:06:03 +02:00
388ed98220 ggml : fix quantized cpy op (llama/12310)
* ggml : fix quantized cpy op

ggml-ci

* tests : add cpy tests for all types

ggml-ci

* tests : add BF16 copy tests

ggml-ci

* tests : fix loop for same-type copy

ggml-ci

* tests : add option to permute the dst tensor

ggml-ci
2025-03-27 11:06:03 +02:00
d487a28ae1 musa: refine compute capability (llama/12493)
* musa: refine compute capability

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* Address review comments

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

---------

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
2025-03-27 11:06:03 +02:00
cbb88c4050 vulkan: Optimize mul_mat_vec p021 and nc shaders (llama/12505)
* tests: add mul_mat perf/functional tests for p021/nc vulkan shaders

* vulkan: Optimize mul_mat_vec p021 and nc shaders.

These shaders are used in attention calculations, and when the KV cache grows
large they start to dominate the run time. For the nc shader (which is called
with large 'k' dimension), use unrolling and vector loads. For the p021 shader
(which is called with large 'm' and small 'k' dimensions), take advantage of
grouped query attention to reuse loads from the A matrix for the whole group,
and reduce the number of workgroups (too much overhead from tiny dispatches).

Using subgroupAdd in the p021 shader also helps, use that conditionally.
2025-03-27 11:06:03 +02:00
13455c0b5f Vulkan: RTE rounding for cpy to quant (llama/12480)
* Vulkan: RTE rounding for cpy to quant

Co-Authored-By: Jeff Bolz <jbolz@nvidia.com>

* remove trailing whitespace

* avoid duplicating pipeline_cpy_f32_quant

* fix copypasting issue

* remove duplicated code

---------

Co-authored-by: Jeff Bolz <jbolz@nvidia.com>
2025-03-27 11:06:03 +02:00
Eve
2f77a9e9bd vulkan: workaround for AMD Windows driver 16 bit unpack8 bug (llama/12472) 2025-03-27 11:06:03 +02:00
fa2b5249ff Fix build on Windows when ccache enabled (ggml/9954) (llama/9976)
* [SYCL] Fix build on Windows when ccache enabled (llama/9954)

* take effect only on windows and force it to icl

---------

Co-authored-by: Romain Biessy <romain.biessy@codeplay.com>
2025-03-27 11:06:03 +02:00
5b854ebba5 sycl: cleanup oneDNN related code (llama/12097) 2025-03-27 11:06:03 +02:00
8058f19d0b ggml : block interleaving support for Q4_K quantization for x86 AVX2 architecture (llama/12332)
* Add block interleaving support for Q4_K quantization

* Remove whitespaces and fix CI/CD issues

* Update pointer of bsums from int16_t to const int16_t

* Add vector version of quantize_q8_K_4x8 function

* Update code formatting based on review comments
2025-03-27 11:06:03 +02:00
ae6a9bb9a5 CUDA: Improve flash decoding kernel GPU occupancy for BS=1 case (llama/12183)
- Find out active blocks per SM using cudaOccupancyMaxActiveBlocksPerMultiprocessor API. Use this value to determine the optimal parallel_blocks value.
- Prefer vector flash attention kernels over MMA kernel for BS=1

Fixes Issue: #12182
---------

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2025-03-27 11:06:03 +02:00
24faba9e9b vulkan: optimize iq1 coopmat2 dequant functions (llama/12427) 2025-03-27 11:06:03 +02:00
c722ff84d3 Fix visionOS build and add CI (llama/12415)
* ci: add visionOS build workflow

Add a new GitHub Actions workflow for building on visionOS with CMake and Xcode.

* ggml: Define _DARWIN_C_SOURCE for visionOS to fix missing u_xxx typedefs

* ci: remove define hacks for u_xxx system types

---------

Co-authored-by: Giovanni Petrantoni <7008900+sinkingsugar@users.noreply.github.com>
2025-03-27 11:06:03 +02:00
102af79f63 vulkan: Submit once enough matmul work has been recorded (llama/12406)
I've been seeing significantly worse performance for tg with flash attention
enabled vs disabled, and it seems to be related to the submit heuristic.
Change the heuristic to check how many bytes worth of weight matrix are
used and flush every 100MB, and ramp up after the first few submits.
This seems to resolve the issue, and also increases perf for non-FA a bit.
2025-03-27 11:06:03 +02:00
03c364557d opencl: improve profiling (llama/12442)
* opencl: more profiling timing

* opencl: generate trace for profiling

* opencl: reduce profiling overhead

* Populate profiling timing info at the end rather than after each
  kernel run

* opencl: fix for chrome tracing
2025-03-27 11:06:03 +02:00
31b62276cf musa: override warp_size of musa device to 32 (llama/12445)
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
2025-03-27 11:06:03 +02:00
97b5a3055d SYCL: using graphs is configurable by environment variable and compile option (llama/12371)
* alberto changes

* enable sycl graphs by env variable

* fixed compilation warnings in ggml-sycl.cpp

* renamed graph variables

* fix markdown in docs/backend/SYCL.md

Co-authored-by: Romain Biessy <romain.biessy@codeplay.com>

* fix markdown in docs/backend/SYCL.md again

* compiling graphs by default, renamed graph_enable to graph_disable

---------

Co-authored-by: Romain Biessy <romain.biessy@codeplay.com>
2025-03-27 11:06:03 +02:00
9993c3f703 ggml : add SVE support for q6_K_q8_K (llama/12361) 2025-03-27 11:06:03 +02:00
fa72479cfb Vulkan: Default to 1GB allocations instead of 4GB to avoid fragmentation and driver issues (llama/12434) 2025-03-27 11:06:03 +02:00
6c15539c54 fixed compilation warnings in ggml-sycl (llama/12424) 2025-03-27 11:06:03 +02:00
52c4c03b0a llama: Add support for RWKV v7 architecture (llama/12412)
* ggml: Add op l2_norm

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* ggml: Add op rwkv_wkv7

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* llama: Add support for RWKV7 and ARWKV7 models

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* llama: fix inference with RWKV6Qwen2

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* llama: add more (a)rwkv7 variants in size

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* Apply code-format changes

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* fix MUSA build

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* llama: fix shape error with rwkv using llama-parallel

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

---------

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>
2025-03-27 11:06:03 +02:00
cfc2560e41 cuda : enable CUDA Graph on CUDA Toolkit < 12.x (llama/12394)
* Enable CUDA Graph on CTK < 12.x

`cudaGraphExecUpdate` API was changed on 12.x. For this reason CUDA graph support was disabled on older CUDA toolkit. This change enables CUDA support in CTK version < 12.x by using older API if CTK < 12.x.

* Fix compilation errors with MUSA

* Disable CUDA Graph for MUSA
2025-03-27 11:06:03 +02:00
db6e8056b5 ggml-vulkan: remove unused find_program(glslc) (llama/12416)
It's already found by FindVulkan.cmake in the parent CMakeLists
2025-03-27 11:06:03 +02:00
b3f3779c1b vulkan: Add N/2 and N/4 optimized paths in coopmat2 shader (llama/12312) 2025-03-27 11:06:03 +02:00
13eeebb1b2 vulkan: subgroup size tuning (llama/12087)
* vulkan: subgroup size test

* Vulkan: Add device architecture enum and logic to recognize AMD generations

* vulkan: use new architecture logic to specify subgroup size

* Initial vulkan subgroup size tuning for RDNA3

* vulkan: commonize RDNA subgroup tuning

* vulkan: override subgroup size if required_subgroup_size = 0

* vulkan: disable warp 32 for RDNA3

* vulkan: fine tuned RDNA1 subgroup sizes

* vulkan: adjusted subgroup size map

* vulkan: fixed RDNA2 subgroup map

---------

Co-authored-by: 0cc4m <picard12@live.de>
2025-03-27 11:06:03 +02:00
905b834af1 vulkan: use fp32 in coopmat2 q4_k dequant function (llama/12309) 2025-03-27 11:06:03 +02:00
2cd3061a23 vulkan: Pad N dimension of B matrix for coopmat2 perf, to avoid bounds checking (llama/12273)
* vulkan: Pad N dimension of B matrix for coopmat2 perf, to avoid bounds checking
2025-03-27 11:06:03 +02:00
88d59e21b2 vulkan: Adjust coopmat2 tile sizes and selection heuristic (llama/12258) 2025-03-27 11:06:03 +02:00
4917f122d4 cmake : enable building llama.cpp using system libggml (llama/12321)
* cmake: Factor out compiler flag function from ggml

llama.cpps's build requires it, too, and we may want to make use of it
without add_subdirectory(ggml).

* cmake: Enable building against system ggml

This facilitates package maintenance for Linux distributions, where the
libggml library most likely will be shipped as an individual package
upon which a llama.cpp package depends.
2025-03-27 11:06:03 +02:00
16a1b77249 SYCL: set extras only on GGML_TYPE_Q4_0 (llama/12366)
* SYCL: set extras only on GGML_TYPE_Q4_0

* release tensor_extras in reset buffer interface
2025-03-27 11:06:03 +02:00
51d1398a0a SYCL: Delete redundant plus sign and space (llama/12391) 2025-03-27 11:06:03 +02:00
3499dd83c0 SYCL : support non-contiguous tensors in binary ops (add, sub, etc) (llama/12399)
* sycl : support non-contiguous tensors in binary ops

* sycl : silence unused variable warning

---------

Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com>
2025-03-27 11:06:03 +02:00
7b7d9ae35e MUL_MAT optimization (llama/12382) 2025-03-27 11:06:03 +02:00
2dcb7181ff sycl : variable sg_size support for mmvq kernels (llama/12336) 2025-03-27 11:06:03 +02:00
96ab3b2465 CUDA/HIP: Fix fattn-vec-* when device warp size is not 32 (llama/12315)
When fattn-wmma was ported over to warp64 various bits that also touch fattn-vec where converted to
selectable warp size, however the fattn-vec kernels dont work with 64 wide warps for now, so we need
to avoid launching them with parameters for warp64
2025-03-27 11:06:03 +02:00
08f32992d0 vulkan: fix bug in coopmat1 mul_mat_id (llama/12316)
* tests: run mul_mat_id with a larger N

* vulkan: fix bug in coopmat1 mul_mat_id
2025-03-27 11:06:03 +02:00
394fae57c3 CUDA/HIP: refractor mmqv to unify the calculation of nwarps and rows per block between host and device code. (llama/12177)
refactor mmqv to unify the calculation of nwarps and rows per block between host and device code.

---------

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2025-03-27 11:06:03 +02:00
0708835301 ggml-backend : fix backend search path (llama/12330)
* Fix backend search path

* replace .native() with '/'

* reverted .native()
2025-03-27 11:06:03 +02:00
774c519433 metal : Cache the Metal library at the device context level (llama/12265) 2025-03-27 11:06:03 +02:00
Eve
776cdceb9e mat vec double buffer (llama/12188) 2025-03-27 11:06:03 +02:00
03d050481e musa: support new arch mp_31 and update doc (llama/12296)
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
2025-03-27 11:06:03 +02:00
3d60219622 opencl: use OpenCL C standard supported by the device (llama/12221)
This patch nudges the llama.cpp a bit to be supported on PoCL which
doesn't support OpenCL C CL2.0. The issue is solved by querying the
device for the supported OpenCL C versions and using the highest one
available.
2025-03-27 11:06:03 +02:00
521d72d76e ggml-backend : make path_str compatible with C++20 (llama/12269) 2025-03-27 11:06:03 +02:00
9fb9025a40 ggml : skip intermediate .air file when compiling .metallib (llama/12247)
This commit updates the compilation of default.metallib to skip the
intermediate .air (Apple Intermediate Representation) file.

The motivation for this change is to simplify the custom command a
little and avoid generating and then removing the .air file.
2025-03-27 11:06:03 +02:00
3c2abb01e8 cmake: Enable specifying exact PowerPC CPU architecture (ggml/1138)
In the process, guard automatic CPU detection with GGML_NATIVE.

https://gcc.gnu.org/onlinedocs/gcc/RS_002f6000-and-PowerPC-Options.html#index-mcpu-10
2025-03-27 11:06:03 +02:00
efd9407e22 cmake: Comment out GGML_BIN_DIR for now (ggml/1139)
Nothing installs to it yet, so when attempting to use the cmake package,
set_and_check() triggers an error if the directory doesn't already exist
for other reasons.
2025-03-27 11:06:03 +02:00
3684af2594 scripts : update sync 2025-03-27 11:06:03 +02:00
206459a804 bindings-go : update Makefile to use cmake (#2952)
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This commit updates the Makefile to use cmake instead of make to build
whisper.cpp.

The motivation for this change is that currently the make recipe test
will fail with the following error:
```console
$ make test
Mkdir build
Mkdir models
Build whisper
make[1]: Entering directory '/home/danbev/work/ai/whisper-work'
make[1]: *** No rule to make target 'libwhisper.a'.  Stop.
make[1]: Leaving directory '/home/danbev/work/ai/whisper-work'
make: *** [Makefile:33: whisper] Error 2
```
2025-03-26 16:21:07 +01:00
21d890d534 whisper : add support for backends with multiple ggml_backend_buffer_type (#2863)
* whisper : add support for ggml_backend_buffer_type

Signed-off-by: Dan Johansson <dan.johansson@arm.com>

* fix compile error when building on Ubuntu

Signed-off-by: Dan Johansson <dan.johansson@arm.com>

* remove copyright header from include file

Signed-off-by: Dan Johansson <dan.johansson@arm.com>

---------

Signed-off-by: Dan Johansson <dan.johansson@arm.com>
2025-03-26 16:54:02 +02:00
0b43a02be8 bindings.java : enable copyLibs task [no ci] (#2949)
* bindings.java : enable copyLibs task [no ci]

This commit adds a dependency on the copyLibs task to the sourcesJar and
jar tasks. This ensures that the libwhisper.so file is copied to the
correct location before the jar is built.

It also sets the executable bit on the gradlew file.

* bindings.java : add copyLibs dep for processResources [no ci]

This will otherwise cause builds to fail after doing an initial build.

* bindings.java : pass structs by value to native code

This commit refactors the code to pass the structs by value to the
native code. This is done by creating a ByValue class for each struct
and using it in the Java code.

The motivation for this change is that without this application crashes
due to what I believe was memory mis-alignement. When the structs were
passed to the native code they would be att different memory locations.
Passing by value overcomes this issue and considering that the structs
hold parementers (context and full params) it might be alright do to
this. These changes allow all the tests to pass.

* bindings.java : fix javadoc warnings [no ci]

* bindings.java : fix libwhisper.dylib path in build.gradle [no ci]

This commit fixes the copyLibwhisperDynlib task in the build.gradle file
to copy the correct libwhisper.dylib file from build/src.
2025-03-26 15:01:28 +01:00
2699e1485a bindings.javascript : update test instructions [no ci] (#2951)
This commit updates the instructions for running the test in the
JavaScript bindings README file.

The motivation for this is for Node.js versions after v16.4.0 the
`--experimental-wasm-threads` and `--experimental-wasm-simd` flags are
no longer required and they generate the following errors:
```console
$ node --experimental-wasm-threads --experimental-wasm-simd ../tests/test-whisper.js
node: bad option: --experimental-wasm-threads
node: bad option: --experimental-wasm-simd
```
2025-03-26 14:49:12 +01:00
594a121f3e readme : add note about SDL2 (#2946)
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Precise the README section about real time audio processing, stating that sdl2 is needed.
2025-03-26 09:30:59 +02:00
996581c5e2 whisper.android : add GGML_USE_CPU compile definition (#2945)
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This commit add GGML_USE_CPU to built target library to enable CPU
backend.

The motivation for this that without the compile definition the CPU
backend is not enabled and the app will crash when trying to use it.
2025-03-25 18:01:18 +01:00
226d344f56 whisper.android.java : update build with ggml source changes (#2942)
* whisper.android.java : update build with ggml source changes

This commit updates the whisper.android.java build to include the
new ggml source files and directories. The gradle build configuration is
also updated to include the aliyun maven repository.
2025-03-25 16:01:59 +01:00
bb9f68129f ci: fix SYCL build (#2943)
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2025-03-25 11:20:37 +02:00
30cf30ca82 examples : reduce initial memory to 512MB (#2939)
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* examples : reduce initial memory to 512MB

This commit reduces the initial memory size to 512MB. This is done to
to avoid WebAssembly memory allocation issues on some platforms. It also
adds a flag to allow the memory to grow dynamically (up to the maximum).

The motivation for this change is that currently the initial memory is
set to 2GB which might be to large for some platforms. This will lead to
an error being thrown from the JavaScript code generated by Emscripten
when trying to allocate memory. More details can be found in the
referenced issue below.


* examples : set MAXIMUM_MEMORY instead of TOTAL_MEMORY

This commit sets MAXIMUM_MEMORY instead of TOTAL_MEMORY in the
whisper.wasm example.

The motivation for this is that TOTAL_MEMORY and INITIAL_MEMORY are
actually the same thing. Instead we want to set MAXIMUM_MEMORY to
2GB. 

Refs: https://github.com/ggerganov/whisper.cpp/issues/2920
Refs: https://emscripten.org/docs/tools_reference/settings_reference.html#initial-memory
2025-03-24 14:42:12 +01:00
ee6286c35d examples : fix nthread parsing in whisper.wasm (#2938)
This commit fixes the nthread parsing in the whisper.wasm example when
using the `Threads` slider to change the number of threads to be used.

Currently this results in the following error:
```console
main.js:5597 Uncaught TypeError: Cannot convert "5" to int
    at checkAssertions (main.js:5597:21)
    at Object.toWireType (main.js:5611:15)
    at Object.full_default (eval at new_ (main.js:5292:27), <anonymous>:10:26)
    at whisper.wasm/:649:42
```
2025-03-24 14:40:00 +01:00
c7941d5ccc examples : fix request path for local worker files (#2937)
This commit adds a fix to the server.py file to handle requests for
web worker files when running the local python server to test the wasm
examples.

The motivation for this is that currently the server is serving files
from the build-em/bin directory which is where the .worker.js files
exist. But when examples access these resources they do so with the
application context path, for example /whisper.wasm/libmain.worker.js
but this will not be found as it currently works.
2025-03-24 14:33:45 +01:00
b82ac32a6c ggml : add logging for native build options/vars (#2935)
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This commit adds debug level logging for the native build options and
variables to ggml/CMakeLists.txt.

The motivation for this is that it can be useful to see the effective
result of `GGML_NATIVE`, `GGML_NATIVE_DEFAULT`, and `INS_ENB` for a
cmake build. I've found myself adding similar logging a few times now,
so I thought it might be a good idea to add this.

Example output, specifying `-DCMAKE_MESSAGE_LOG_LEVEL=DEBUG` when
running cmake produces the following output:
```console
-- GGML_NATIVE         : OFF
-- GGML_NATIVE_DEFAULT : OFF
-- INS_ENB             : OFF
```
2025-03-24 09:53:38 +01:00
edf1ee1ef8 whisper : enhance model download scripts functionality and resolve compiler warning (#2925)
* whisper : improve whisper-cli executable path detection in model download shell scripts

If whisper-cli is found on the path, do not suggest invoking from build directory. This improves flexibility and usability for distribution and packaging scenarios.

* whisper : enhance Windows model download batch script to have comparable functionality and behaviour as shell scripts

* Download models to the current directory if the script is executed from the \bin\ directory (for future distribution scenarios where the script is in the \bin\ subdirectory of a Windows build)
* Add model_path command line argument
* If whisper-cli is found on the path, do not suggest invoking from build directory

* whisper : resolve compiler warning by removing duplicate definition of NOMINMAX in whisper-cli code
2025-03-24 10:39:50 +02:00
cf5ddb8c21 whisper : initialize decoder's rng with unique seed (#2932)
This change initializes each decoder's random number generator with a
unique seed.

The motivation for this is that currently all decoders are initialized
with the same seed value, 0. The result of this is that for the same
state (logits, probs, and logprobs) they will produce the same output.
2025-03-24 09:36:07 +01:00
7fe4979f25 ci : remove CMAKE_CUDA_ARCHITECTURES in windows-cublas (#2923)
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This commit removes the -DCMAKE_CUDA_ARCHITECTURES=all flag from the
windows-cublas job in the build.yml file.

The motivation for this is that building for all architectures is
unnecessary and takes a long time. Without this flag the architectures
will instead be set by ggml-cuda.

Refs: https://github.com/ggerganov/whisper.cpp/pull/2915#issuecomment-2743160743
2025-03-22 15:40:28 +01:00
9bc0dc7235 whisper : update default model download directory behavior to use current working directory when script is in /bin/ directory (#2924)
This change ensures that when the script is packaged and distributed, models are downloaded to the current directory instead of the script's location, preventing conflicts with system directories. This improves flexibility and usability for distribution and packaging scenarios.
2025-03-22 16:27:57 +02:00
3fc6ad97a3 whisper.swiftui : Add Core ML support to README [no ci] (#2921)
This commit updates the README to include instructions on how to use
a Core ML model with the example.
2025-03-21 11:38:32 +01:00
663cafc1e8 readme : update Python version to 3.11 for Core ML support [no -ci] (#2919)
This commit updates the recommended version of Python to 3.11 for Core
ML conversion support. It also adds the `-e` flag to the
`generate-coreml-model.sh` script to ensure that the script exits on the
first error.

The motivation for this that when following the installation instructions
using Python 3.10 I get the following error:
```console
(venv) $ ./models/generate-coreml-model.sh base.en

A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.1.3 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.

If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.

Traceback (most recent call last):  File "/whisper-work/models/convert-whisper-to-coreml.py", line 2, in <module>
    import torch
  File "/whisper-work/venv/lib/python3.10/site-packages/torch/__init__.py", line 870, in <module>
    from . import _masked
  File "/whisper-work/venv/lib/python3.10/site-packages/torch/_masked/__init__.py", line 420, in <module>
    def sum(input: Tensor,
  File "/whisper-work/venv/lib/python3.10/site-packages/torch/_masked/__init__.py", line 223, in _apply_docstring_templates
    example_input = torch.tensor([[-3, -2, -1], [0, 1, 2]])
/whisper-work/venv/lib/python3.10/site-packages/torch/_masked/__init__.py:223: UserWarning: Failed to initialize NumPy: _ARRAY_API not found (Triggered internally at  /Users/distiller/project/pytorch/torch/csrc/utils/tensor_numpy.cpp:68.)
  example_input = torch.tensor([[-3, -2, -1], [0, 1, 2]])
Minimum required torch version for importing coremltools.optimize.torch is 2.1.0. Got torch version 1.11.0.
Traceback (most recent call last):
  File "/whisper-work/models/convert-whisper-to-coreml.py", line 4, in <module>
    import coremltools as ct
  File "/whisper-work/venv/lib/python3.10/site-packages/coremltools/__init__.py", line 120, in <module>
    from . import converters, models, optimize, proto
  File "/whisper-work/venv/lib/python3.10/site-packages/coremltools/converters/__init__.py", line 7, in <module>
    from . import libsvm, sklearn, xgboost
  File "/Users/danbev/work/ai/whisper-work/venv/lib/python3.10/site-packages/coremltools/converters/xgboost/__init__.py", line 6, in <module>
    from ._tree import convert
  File "/Users/danbev/work/ai/whisper-work/venv/lib/python3.10/site-packages/coremltools/converters/xgboost/_tree.py", line 9, in <module>
    from ._tree_ensemble import convert_tree_ensemble as _convert_tree_ensemble
  File "/Users/danbev/work/ai/whisper-work/venv/lib/python3.10/site-packages/coremltools/converters/xgboost/_tree_ensemble.py", line 11, in <module>
    from ...models.tree_ensemble import TreeEnsembleClassifier
  File "/Users/danbev/work/ai/whisper-work/venv/lib/python3.10/site-packages/coremltools/models/__init__.py", line 6, in <module>
    from . import (
  File "/Users/danbev/work/ai/whisper-work/venv/lib/python3.10/site-packages/coremltools/models/ml_program/__init__.py", line 6, in <module>
    from . import compression_utils
  File "/Users/danbev/work/ai/whisper-work/venv/lib/python3.10/site-packages/coremltools/models/ml_program/compression_utils.py", line 8, in <module>
    from coremltools.converters.mil.mil import Operation as _Operation
  File "/Users/danbev/work/ai/whisper-work/venv/lib/python3.10/site-packages/coremltools/converters/mil/__init__.py", line 7, in <module>
    from .frontend.tensorflow.tf_op_registry import register_tf_op
  File "/Users/danbev/work/ai/whisper-work/venv/lib/python3.10/site-packages/coremltools/converters/mil/frontend/__init__.py", line 6, in <module>
    from . import tensorflow, tensorflow2, torch
  File "/Users/danbev/work/ai/whisper-work/venv/lib/python3.10/site-packages/coremltools/converters/mil/frontend/torch/__init__.py", line 11, in <module>
    from . import ops, quantization_ops
  File "/Users/danbev/work/ai/whisper-work/venv/lib/python3.10/site-packages/coremltools/converters/mil/frontend/torch/ops.py", line 36, in <module>
    from .internal_graph import InternalTorchIRGraph, InternalTorchIRNode
  File "/Users/danbev/work/ai/whisper-work/venv/lib/python3.10/site-packages/coremltools/converters/mil/frontend/torch/internal_graph.py", line 15, in <module>
    from .exir_utils import extract_io_from_exir_program
  File "/Users/danbev/work/ai/whisper-work/venv/lib/python3.10/site-packages/coremltools/converters/mil/frontend/torch/exir_utils.py", line 99, in <module>
    ) -> Dict[str, torch.fx.Node]:
AttributeError: module 'torch' has no attribute 'fx'
```
Using Python3.11 the conversion script runs without any errors.
2025-03-21 10:31:55 +01:00
be9de81171 whisper : add check for CPU backend initialization (#2918)
This commit adds a check for the CPU backend initialization in the
whisper library. If the initialization fails, an exception is thrown.

The motivation for this change is to make the library more robust and
handle the case when the CPU backend initialization fails.

Resolves: https://github.com/ggerganov/whisper.cpp/issues/2917
2025-03-21 09:53:26 +01:00
21fb513ef1 examples : update whisper.objc README.md (#2916)
This commit updates the hisper.objc README.md to reflect the changes of
using the xcframework and the new build process.

Since whisper.cpp is no longer compiled by the example project, instead
the library from the xframework will be used, the build instructions
have been removed.
2025-03-21 09:52:53 +01:00
4e56747944 ci : increase windows-cublas evict-old-files to 5d (#2915)
This commit updates the evict-old-files parameter for the windows-cublas
build job to 5 days.

The motivation for this change is to avoid the full rebuild which takes
around 1.5 hours for the windows-cublas build job. Considering that
there are periods of low traffic on whisper.cpp (like weekends etc.) it
might be better to have a longer eviction policy to avoid the full
rebuild.
2025-03-21 08:19:24 +01:00
ca75449a92 xcframework : add support for CoreML to ios/macOS (#2912)
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* xcframework : add support for CoreML to ios/macOS

This commit add support for compiling whisper with CoreML support for
iOS and macOS.

The motivation for this change is it will allow users to use a Core ML
model or fall back to a ggml model if Core ML is not available.

With the updated xcframework, I was able to run the whisper.objc example
and successfully load a Core ML model:
```console
whisper_init_state: loading Core ML model from '/Users/danbev/Library/Developer/CoreSimulator/Devices/25E8C27D-0253-4281-AF17-C3F2A4D1D8F4/data/Containers/Bundle/Application/B81F6FF0-BF1A-40DF-AC2A-3908EC4BCC9A/whisper.objc.app/ggml-base.en-encoder.mlmodelc'
whisper_init_state: first run on a device may take a while ...
whisper_init_state: Core ML model loaded
```

* squash! xcframework : add support for CoreML to ios/macOS

Fix grammar in output message.
2025-03-20 18:39:08 +01:00
80dad86b2c examples : add WHISPER_SDL2 check to deprecation executables (#2911)
This commit adds a check for `WHISPER_SDL2` to the deprecation warning
examples. This is to prevent the examples from being built when
WHISPER_SDL2 is not enabled.

The motivation for this is that currently these deprecation executables
are generate and when run they refer the user to examples with other
names, for example `whisper-command` but unless they have built with
`WHISPER_SDL2` those executable will not be present:
```console
$ ls build/bin/
bench  command  main  quantize  stream  whisper-bench  whisper-cli
whisper-server

$ ./build/bin/command

WARNING: The binary 'command' is deprecated.
 Please use 'whisper-command' instead.
 See https://github.com/ggerganov/whisper.cpp/tree/master/examples/deprecation-warning/README.md for more information.
```
2025-03-20 18:36:02 +01:00
485ece6725 ci : use ninja and fix caching for windows-cublas (#2910)
This commit updates the windows-cublas job to use Ninja as the build
system instead of msbuild/msvc.

The motivation for this is that msbuild/mscv does not seem to handle
ccache/sccache well, for example it ignores the
`CMAKE_C_COMPILER_LAUNCHER` etc. variables. But using Ninja as the build
caching works and the build is initially the same speed as it is
currently (without caching) subsequently builds are much faster.

Refs: https://github.com/ggerganov/whisper.cpp/issues/2781
2025-03-20 17:01:48 +01:00
e7d9d8687a examples : update wasm examples to include server.py [no ci] (#2908)
This commit updates the README files for the wasm examples to include
instructions on how to run the examples using the provided server.py
which was included in Commit 6e8242f7fe
("examples : command.wasm updates (#2904)").

The motivation for this is consistency with the command.wasm example.
2025-03-20 09:07:43 +01:00
6e8242f7fe examples : command.wasm updates (#2904)
This commit updates the command.wasm example by adding a server.py script to make it easy to start a local http server to try out the example, updates the build instructions, and also addresses some of the compiler warnings that were being generated.

* emscripten : fix TOTAL_STACK for wasm

This commit moves the TOTAL_STACK setting from the compile flags to the
linker flags. This is because the TOTAL_STACK setting is a linker
setting.

The motivation for this change is that currently the following warnings
are generated when building:
```console
em++: warning: linker setting ignored during compilation: 'TOTAL_STACK' [-Wunused-command-line-argument]
em++: warning: linker setting ignored during compilation: 'TOTAL_STACK' [-Wunused-command-line-argument]
em++: warning: linker setting ignored during compilation: 'TOTAL_STACK' [-Wunused-command-line-argument]
em++: warning: linker setting ignored during compilation: 'TOTAL_STACK' [-Wunused-command-line-argument]
em++: warning: linker setting ignored during compilation: 'TOTAL_STACK' [-Wunused-command-line-argument]
em++: warning: linker setting ignored during compilation: 'TOTAL_STACK' [-Wunused-command-line-argument]
```

* examples : suppress C++17 deprecation warning for std::codecvt_utf8

This commit suppresses the C++17 deprecation warning for
std::codecvt_utf8 similar to what is done in
examples/talk-llama/unicode.cpp.

The motivation for this change is to suppress these warnings:
```console
/Users/danbev/work/ai/whisper-work/examples/common.cpp:251:31: warning: 'codecvt_utf8<wchar_t>' is deprecated [-Wdeprecated-declarations]
  251 |     std::wstring_convert<std::codecvt_utf8<wchar_t>> converter;
      |                               ^
/Users/danbev/work/wasm/emsdk/upstream/emscripten/cache/sysroot/include/c++/v1/codecvt:193:28: note: 'codecvt_utf8<wchar_t>' has been explicitly marked deprecated here
  193 | class _LIBCPP_TEMPLATE_VIS _LIBCPP_DEPRECATED_IN_CXX17 codecvt_utf8 : public __codecvt_utf8<_Elem> {
      |                            ^
/Users/danbev/work/wasm/emsdk/upstream/emscripten/cache/sysroot/include/c++/v1/__config:723:41: note: expanded from macro '_LIBCPP_DEPRECATED_IN_CXX17'
  723 | #    define _LIBCPP_DEPRECATED_IN_CXX17 _LIBCPP_DEPRECATED
      |                                         ^
/Users/danbev/work/wasm/emsdk/upstream/emscripten/cache/sysroot/include/c++/v1/__config:688:49: note: expanded from macro '_LIBCPP_DEPRECATED'
  688 | #      define _LIBCPP_DEPRECATED __attribute__((__deprecated__))
      |                                                 ^
/Users/danbev/work/ai/whisper-work/examples/common.cpp:251:10: warning: 'wstring_convert<std::codecvt_utf8<wchar_t>>' is deprecated [-Wdeprecated-declarations]
  251 |     std::wstring_convert<std::codecvt_utf8<wchar_t>> converter;
      |          ^
/Users/danbev/work/wasm/emsdk/upstream/emscripten/cache/sysroot/include/c++/v1/locale:3145:28: note: 'wstring_convert<std::codecvt_utf8<wchar_t>>' has been explicitly marked deprecated here
 3145 | class _LIBCPP_TEMPLATE_VIS _LIBCPP_DEPRECATED_IN_CXX17 wstring_convert {
      |                            ^
/Users/danbev/work/wasm/emsdk/upstream/emscripten/cache/sysroot/include/c++/v1/__config:723:41: note: expanded from macro '_LIBCPP_DEPRECATED_IN_CXX17'
  723 | #    define _LIBCPP_DEPRECATED_IN_CXX17 _LIBCPP_DEPRECATED
      |                                         ^
/Users/danbev/work/wasm/emsdk/upstream/emscripten/cache/sysroot/include/c++/v1/__config:688:49: note: expanded from macro '_LIBCPP_DEPRECATED'
  688 | #      define _LIBCPP_DEPRECATED __attribute__((__deprecated__))
      |                                                 ^
/Users/danbev/work/ai/whisper-work/examples/common.cpp:257:31: warning: 'codecvt_utf8<wchar_t>' is deprecated [-Wdeprecated-declarations]
  257 |     std::wstring_convert<std::codecvt_utf8<wchar_t>> converter;
      |                               ^
/Users/danbev/work/wasm/emsdk/upstream/emscripten/cache/sysroot/include/c++/v1/codecvt:193:28: note: 'codecvt_utf8<wchar_t>' has been explicitly marked deprecated here
  193 | class _LIBCPP_TEMPLATE_VIS _LIBCPP_DEPRECATED_IN_CXX17 codecvt_utf8 : public __codecvt_utf8<_Elem> {
      |                            ^
/Users/danbev/work/wasm/emsdk/upstream/emscripten/cache/sysroot/include/c++/v1/__config:723:41: note: expanded from macro '_LIBCPP_DEPRECATED_IN_CXX17'
  723 | #    define _LIBCPP_DEPRECATED_IN_CXX17 _LIBCPP_DEPRECATED
      |                                         ^
/Users/danbev/work/wasm/emsdk/upstream/emscripten/cache/sysroot/include/c++/v1/__config:688:49: note: expanded from macro '_LIBCPP_DEPRECATED'
  688 | #      define _LIBCPP_DEPRECATED __attribute__((__deprecated__))
      |                                                 ^
/Users/danbev/work/ai/whisper-work/examples/common.cpp:257:10: warning: 'wstring_convert<std::codecvt_utf8<wchar_t>>' is deprecated [-Wdeprecated-declarations]
  257 |     std::wstring_convert<std::codecvt_utf8<wchar_t>> converter;
      |          ^
/Users/danbev/work/wasm/emsdk/upstream/emscripten/cache/sysroot/include/c++/v1/locale:3145:28: note: 'wstring_convert<std::codecvt_utf8<wchar_t>>' has been explicitly marked deprecated here
 3145 | class _LIBCPP_TEMPLATE_VIS _LIBCPP_DEPRECATED_IN_CXX17 wstring_convert {
      |                            ^
/Users/danbev/work/wasm/emsdk/upstream/emscripten/cache/sysroot/include/c++/v1/__config:723:41: note: expanded from macro '_LIBCPP_DEPRECATED_IN_CXX17'
  723 | #    define _LIBCPP_DEPRECATED_IN_CXX17 _LIBCPP_DEPRECATED
      |                                         ^
/Users/danbev/work/wasm/emsdk/upstream/emscripten/cache/sysroot/include/c++/v1/__config:688:49: note: expanded from macro '_LIBCPP_DEPRECATED'
  688 | #      define _LIBCPP_DEPRECATED __attribute__((__deprecated__))
      |                                                 ^
4 warnings generated.
```

* ggml : suppress double-promotion warning in GGML_F16x4_REDUCE

This commit adds a cast to `ggml_float` in the `GGML_F16x4_REDUCE` macro
to suppress a double-promotion warning.

Currently the following warning is generated when compiling the
command.wasm example:
```console
/whisper-work/ggml/src/ggml-cpu/ggml-cpu.c:1592:5: warning: implicit conversion increases floating-point precision: 'float' to 'ggml_float' (aka 'double') [-Wdouble-promotion]
 1592 |     GGML_F16_VEC_REDUCE(sumf, sum);
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/Users/danbev/work/ai/whisper-work/ggml/src/ggml-cpu/ggml-cpu.c:932:37: note: expanded from macro 'GGML_F16_VEC_REDUCE'
  932 | #define GGML_F16_VEC_REDUCE         GGML_F16x4_REDUCE
      |                                     ^
/Users/danbev/work/ai/whisper-work/ggml/src/ggml-cpu/ggml-cpu.c:920:44: note: expanded from macro 'GGML_F16x4_REDUCE'
  918 |     res = wasm_f32x4_extract_lane(x[0], 0) +       \
      |         ~ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  919 |           wasm_f32x4_extract_lane(x[0], 1) +       \
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  920 |           wasm_f32x4_extract_lane(x[0], 2) +       \
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
  921 |           wasm_f32x4_extract_lane(x[0], 3);        \
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/whisper-work/ggml/src/ggml-cpu/ggml-cpu.c:1640:9: warning: implicit conversion increases floating-point precision: 'float' to 'ggml_float' (aka 'double') [-Wdouble-promotion]
 1640 |         GGML_F16_VEC_REDUCE(sumf[k], sum[k]);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/Users/danbev/work/ai/whisper-work/ggml/src/ggml-cpu/ggml-cpu.c:932:37: note: expanded from macro 'GGML_F16_VEC_REDUCE'
  932 | #define GGML_F16_VEC_REDUCE         GGML_F16x4_REDUCE
      |                                     ^
/Users/danbev/work/ai/whisper-work/ggml/src/ggml-cpu/ggml-cpu.c:920:44: note: expanded from macro 'GGML_F16x4_REDUCE'
  918 |     res = wasm_f32x4_extract_lane(x[0], 0) +       \
      |         ~ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  919 |           wasm_f32x4_extract_lane(x[0], 1) +       \
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  920 |           wasm_f32x4_extract_lane(x[0], 2) +       \
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
  921 |           wasm_f32x4_extract_lane(x[0], 3);        \
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2 warnings generated.
```
wasm_f32x4_extract_lane returns a 32-bit float and this is what the
addition is performed on. But there is an implicit conversion from
32-bit float to 64-bit double when the result is assigned to `res`,
which is of type `ggml_float`. My understanding here is that this is
intentional and adding a cast to `ggml_float` should suppress the
warning.

* emscripten : add -Wno-deprecated to for emscripten

This commit adds -Wno-deprecated to the CMAKE_CXX_FLAGS for emscripten
builds.

The motivation for this is that currently there a number of warnings
generated like the following:
```console
warning: JS library symbol '$print' is deprecated. Please open a bug if you have a continuing need for this symbol [-Wdeprecated]
warning: JS library symbol '$printErr' is deprecated. Please open a bug if you have a continuing need for this symbol [-Wdeprecated]
em++: warning: warnings in JS library compilation [-Wjs-compiler]
em++: warning: linker setting ignored during compilation: 'ENVIRONMENT' [-Wunused-command-line-argument]
warning: JS library symbol '$print' is deprecated. Please open a bug if you have a continuing need for this symbol [-Wdeprecated]
warning: JS library symbol '$printErr' is deprecated. Please open a bug if you have a continuing need for this symbol [-Wdeprecated]
em++: warning: warnings in JS library compilation [-Wjs-compiler]
warning: JS library symbol '$print' is deprecated. Please open a bug if you have a continuing need for this symbol [-Wdeprecated]
warning: JS library symbol '$printErr' is deprecated. Please open a bug if you have a continuing need for this symbol [-Wdeprecated]
em++: warning: warnings in JS library compilation [-Wjs-compiler]
em++: warning: linker setting ignored during compilation: 'ENVIRONMENT' [-Wunused-command-line-argument]
em++: warning: linker setting ignored during compilation: 'ENVIRONMENT' [-Wunused-command-line-argument]
```

The downside of this is that we might miss other deprecation warnings
in the future so I'm not sure if this is acceptable. But it make the
wasm examples cleaner without the warnings.

* examples : fix tautological-compare warning in stb_vorbis.c [no ci]

This commit applies a fix to address a tautological-compare warning
in stb_vorbis.c.

The motivation for this is that currently the following warning is
generated when compiling the commmand-wasm example:
```console
/Users/danbev/work/ai/whisper-work/examples/stb_vorbis.c:1404:75: warning: pointer comparison always evaluates to false [-Wtautological-compare]
 1404 |       if (f->stream_start + loc >= f->stream_end || f->stream_start + loc < f->stream_start) {
      |                                                                           ^
1 warning generated.
```

This fix was taken from an open pull request on the stb repository
that addreses this issue:
https://github.com/nothings/stb/pull/1746

* squash! examples : update command.wasm instructions [no ci]

This commit adds a Python script to serve the the wasm examples build
in the `build-em` directory. Initially I thought that it would be enough
to start a simple python server but I did not notice that there was an
error in the browser console when I did that:
```console
command.js:1 Uncaught (in promise) DataCloneError: Failed to execute 'postMessage' on 'Worker': SharedArrayBuffer transfer requires self.crossOriginIsolated.
    at command.js:1:1206224
    at new Promise (<anonymous>)
    at loadWasmModuleToWorker (command.js:1:1204981)
    at Array.map (<anonymous>)
    at Object.loadWasmModuleToAllWorkers (command.js:1:1206428)
    at command.js:1:1204318
    at callRuntimeCallbacks (command.js:1:1202062)
    at preRun (command.js:1:6136)
    at run (command.js:1:1294094)
    at removeRunDependency (command.js:1:7046)
```
We need a few CORS headers to be set and in order hopefully make this
easy for users a Python script is added to the examples directory.
This should be able to server all the wasm examples provided they have
been built. command.wasm's README.md is updated to reflect this change.

* examples : remove unused functions

This commit removed the unused functions convert_to_utf8 and
convert_to_wstring from examples/common.cpp.

* Revert "examples : fix tautological-compare warning in stb_vorbis.c [no ci]"

This reverts commit 8e3c47d961.

We should not make this change here and instead when the upstream PR is
merged we can sync with it.

Refs: https://github.com/ggerganov/whisper.cpp/issues/2784
2025-03-20 07:02:18 +01:00
e27fd6f0c0 ci : refactor cuda toolkit installation steps (#2902)
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The commit updates the CUDA tookkit installation steps to use variables
for the CUDA version and the components versions.

The motivation for this change is that the currently the versions for
the components are used in multiple places and it is hard to update
and maintain.
2025-03-19 09:41:14 +01:00
96db0c5a9c go : add Encoder Begin Callback (#2900)
Adding in EncoderBeginCallback to the Context's Process callback.
This optional callback function returns false if computation should
be aborted.

Co-authored-by: Amanda Der Bedrosian <aderbedr@gmail.com>
2025-03-19 09:05:04 +02:00
d2aaffd5d9 ci : add ccache action to windows-cublas job (#2893)
* ci : add ccache action to windows-cublas job

This commit adds the ccache action to the windows-cublas job. This will
allow us to cache the build artifacts and hopefully speed up the build
process.

Refs: https://github.com/ggerganov/whisper.cpp/issues/2781
2025-03-19 04:53:08 +01:00
215990abde whisper : fix compiler warnings in whisper.cpp (#2895)
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This commit fixes compiler warnings in whisper.cpp by changing the type
of the loop index variable from int64_t to size_t.

Currently the following warnings are generated by the compiler:
```console
/whisper.cpp/src/whisper.cpp:209:27: warning: comparison of integers of different signs: 'int64_t' (aka 'long long') and 'size_t' (aka 'unsigned long') [-Wsign-compare]
  209 |     for (int64_t i = 0; i < nels; ++i) {
      |                         ~ ^ ~~~~
/whisper.cpp/src/whisper.cpp:219:27: warning: comparison of integers of different signs: 'int64_t' (aka 'long long') and 'size_t' (aka 'unsigned long') [-Wsign-compare]
  219 |     for (int64_t i = 0; i < nels; ++i) {
      |                         ~ ^ ~~~~
```
2025-03-18 13:38:41 +01:00
7e23d8c64a ci : add missing env.branch_name to build.yml (#2896)
This commit adds the missing env.branch_name to the build.yml file.

The motivation for this is that the currently the build is failing
during the release job because the branch_name is not set in the
an invalid tag is being used.
2025-03-18 13:38:21 +01:00
740bf7f6a1 whisper : enable compiler warnings for src (#2891)
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* whisper : enable compiler warnings for src

This commit enables compiler warnings for the src directory. Currently
when the WHISPER_ALL_WARNINGS flag is set to ON is only enables warnings
in ggml, by setting GGML_ALL_WARNINGS to ON. This commit adds the same
compiler flags for whisper's src directory.

The motivation for this is to catch potential bugs and issues early on
in the development process.

* squash! whisper : enable compiler warnings for src

Remove GF_C_FLAGS and GF_CXX_FLAGS from add_compile_options.
2025-03-18 05:19:18 +01:00
c8e12f59dd ci : add release job and include xcframework (#2889)
* ci : add release job and include xcframework

This commit adds a release job that uploads the xcframework as an
artifact and creates a release with the xcframework as an asset.

This job can be triggered manually and enables a pre-release tag name to
be specified to that these releases can be distinguished from the
regular releases more easily.

Resolves: https://github.com/ggerganov/whisper.cpp/issues/2886
2025-03-18 05:18:20 +01:00
83b14c357c examples : use xcframework in whisper.objc example (#2882)
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* examples : use xcframework in whisper.objc example

This commit updates the whisper.objc example to use the xcframework.

The motivation for this to be consistent with the swift example and to
also act as a reference for how to use the xcframework in an objc
project.

Resolves: https://github.com/ggerganov/whisper.cpp/issues/2881

* examples : setup audio session viewDidload

This commit adds the setup of the audio session in the viewDidload
method of the ViewController.m file. This is necessary to allow the app
to record audio.

The motivation for this is that without this it was not possible to
caputue audio from the microphone. It was possible to click on the
Capture button but nothing happened after that, and the button was not
marked red indicating that the button could be clicked again to stop
capturing. With this change it is possible to capture audio from the
microphone and get it transcribed.
2025-03-17 13:01:24 +01:00
60b481d881 whisper : add option to use system-installed GGML (#2887)
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2025-03-17 09:54:48 +02:00
4854789751 convert : update convert-h5-to-ggml.py (#2840)
improved handling of missing max_length
2025-03-17 09:41:05 +02:00
e0f3c9d4dd examples : add GGML_USE_CPU=ON flag to whisper.objc (#2880)
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This commit adds the GGML_USE_CPU=ON flag to the whisper.objc project in
order to enable the CPU backend for the whisper.objc project.

The motivation for this change is that currently the following error
is generated when running the example:
```console
ggml_backend_buffer_type_t ggml_backend_get_default_buffer_type(ggml_backend_t backend) {
    return ggml_backend_dev_buffer_type(backend->device); <- Thread 1: EXC_BAD_ACCESS (code=1, address=0x70)
}
```
If we inspect the `backend` variable we can see that it is a `nullptr`.
```console
(lldb) p backend
(ggml_backend_t) nullptr
```
When running in a simulator and that automatically means that there will
be no gpu as there is a check for this in the code. But the CPU backend
should still be present.

The objective-c code will compile the whisper sources including the ggml
sources. And if `-DGGMLL_USE_CPU` is not defined then there will be no
CPU backend, and in this particular case of backend at all.

Resolves: https://github.com/ggerganov/whisper.cpp/issues/2870
2025-03-14 15:40:20 +01:00
1f4886b40d ggml-ci: update input env variables to GG_BUILD_ (#2879) 2025-03-14 10:53:29 +02:00
f11de0e73c ggml-ci: add run.sh (#2877)
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2025-03-14 09:29:55 +02:00
d5cc27ee4d examples : add dl to the list of libraries linked (#2875)
* examples : add dl to the list of libraries linked

This commit adds the dynamic linker library to the list of libraries
linked by the examples.

The motivation for this change is that when building the examples on
ubuntu 20.04, which uses GCC 9.4.0, the dynamic linker requires
explicit linking or the following error is generated:
```console
[ 64%] Linking CXX executable ../../bin/whisper-cli
cd /app/whisper.cpp/build/examples/cli && /usr/bin/cmake -E cmake_link_script CMakeFiles/whisper-cli.dir/link.txt --verbose=1
/usr/bin/c++  -O3 -DNDEBUG   CMakeFiles/whisper-cli.dir/cli.cpp.o  -o ../../bin/whisper-cli  -Wl,-rpath,/app/whisper.cpp/build/src:/app/whisper.cpp/build/ggml/src: ../libcommon.a ../../src/libwhisper.so.1.7.4 -pthread ../../ggml/src/libggml.so ../../ggml/src/libggml-cpu.so ../../ggml/src/libggml-base.so
/usr/bin/ld: ../libcommon.a(common-whisper.cpp.o): undefined reference to symbol 'dlclose@@GLIBC_2.2.5'
/usr/bin/ld: /lib/x86_64-linux-gnu/libdl.so.2: error adding symbols: DSO missing from command line
collect2: error: ld returned 1 exit status
make[2]: *** [examples/cli/CMakeFiles/whisper-cli.dir/build.make:89: bin/whisper-cli] Error 1
make[2]: Leaving directory '/app/whisper.cpp/build'
make[1]: *** [CMakeFiles/Makefile2:433: examples/cli/CMakeFiles/whisper-cli.dir/all] Error 2
make[1]: Leaving directory '/app/whisper.cpp/build'
make: *** [Makefile:130: all] Error 2
```

Resolves: https://github.com/ggerganov/whisper.cpp/issues/2854
2025-03-14 04:42:20 +01:00
5bb1d58c6a whisper: add xcframework build script (#2873)
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* whisper: add xcframework build script

* added apple validation scripts

* fixed Readme

* validation script fix
2025-03-13 13:56:39 +01:00
7d14005717 objc : fix build, tmp remove GPU support, use C++17
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2025-03-08 15:13:01 +02:00
4ffb8e3e4d cmake : fix ggml-config (ggml/0) 2025-03-08 15:13:01 +02:00
1d8d8ae55e sync : ggml 2025-03-08 15:13:01 +02:00
eebf6bc0bd ggml-cpu: faster AVX2 variant for IQ1_M (llama/12216) 2025-03-08 15:13:01 +02:00
dc8f423b40 metal : simplify kernel arguments using a struct (ggml/3229) (llama/12194)
* metal : refactor im2col parameters into a struct

* metal: Change im2col offset types from int32_t to uint64_t to support larger memory offsets

* metal : refactor sum_rows parameters into a struct

* metal : refactor soft_max parameters into a struct

* metal : refactor diag_mask_inf parameters into a struct

* metal : refactor ssm_conv parameters into a struct

* metal : refactor ssm_scan parameters into a struct

* metal : refactor get_rows parameters into a struct

* metal : refactor group_norm parameters into a struct

* metal : refactor conv_transpose_1d parameters into a struct

* metal : refactor upscale parameters into a struct

* metal : refactor pad parameters into a struct

* metal : refactor pad_reflect_1d parameters into a struct

* metal : refactor arange parameters into a struct

* metal : refactor timestep_embedding parameters into a struct

* metal : refactor argsort parameters into a struct

* metal : refactor leaky_relu parameters into a struct

* metal : refactor pool_2d parameters into a struct

* metal : fix trailing whitespace

---------

Co-authored-by: alexju <alexju@tencent.com>
2025-03-08 15:13:01 +02:00
548e7052f1 metal : fix default.metallib build (llama/12224)
This commit updates the custom command to build the default.metallib
file to use the correct path to ../ggml-common.h by using the variable
METALLIB_COMMON.

The motivation for this change is that currently when building and
specifying GGML_METAL_EMBED_LIBRARY=OFF the following error is
generated:
```console
[ 11%] Linking CXX shared library ../../bin/libggml.dylib
[ 11%] Built target ggml
make[2]: *** No rule to make target `ggml/src/ggml-metal/ggml-common.h', needed by `bin/default.metallib'.  Stop.
make[1]: *** [ggml/src/ggml-metal/CMakeFiles/ggml-metal-lib.dir/all] Error 2
```

With the above change the build could progress but there was a follow
on error about not being able to find the ggml-common.h file in
ggml-metal.metal where is was included as a relative path:
```console
[ 11%] Compiling Metal kernels
/Users/danbev/work/llama.cpp/build/bin/ggml-metal.metal:6:10: error: '../ggml-common.h' file not found, did you mean 'ggml-common.h'?
         ^~~~~~~~~~~~~~~~~~
         "ggml-common.h"
1 error generated.
```
Removing the relative path then allowed the build to complete
successfully.
2025-03-08 15:13:01 +02:00
a34cb73dc2 opencl: Noncontiguous norm, rms_norm, disable fp16 for some ops (llama/12217)
* opencl: support noncontiguous `norm`

* opencl: support noncontiguous `rms_norm`

* opencl: disable fp16 for `ADD`, `MUL`, `SCALE`, `RELU`, `GELU`, `SILU`, `CLAMP`
2025-03-08 15:13:01 +02:00
82f9496657 cmake : fix undefined reference errors for std::filesystem in ggml (#12092) (llama/12094)
Signed-off-by: Ray Lee <hburaylee@gmail.com>
Co-authored-by: Ray Lee <hburaylee@gmail.com>
2025-03-08 15:13:01 +02:00
e3c85e75bd CUDA: fix FA logic for PTX 7.0 and CC >= 7.5 (llama/12222) 2025-03-08 15:13:01 +02:00
b9eab73fa2 HIP/CUDA: set the paramerter value in maintain_cuda_graph instead of replaceing it. (llama/12209)
This avoids conflict with internal cuda/hip runtimes memory managment behavior.
2025-03-08 15:13:01 +02:00
76385c8311 opencl : fix buffer alignment (llama/12197)
Fix the following error:

```
ggml-alloc.c:99: not enough space in the buffer
ggml_tallocr_alloc: not enough space in the buffer to allocate blk.17.ffn_down.weight (needed 27525120, available 27521024)
```

which occurs when `ggml_backend_opencl_context::alignment` is larger
than `cl_ptr_base` (hard-coded to `0x1000`).

Also, fix `ggml_backend_opencl_context::alignment` was set to
`CL_DEVICE_MEM_BASE_ADDR_ALIGN` which was treated as bytes but the
value is reported in bits.
2025-03-08 15:13:01 +02:00
442cd1d2e7 opencl : fix ulong kernel args were set from int variables (llama/12174)
... which left garbage bits in the upper half of the kernel args. This
caused segmentation faults when running PoCL.
2025-03-08 15:13:01 +02:00
bc8cb97e02 opencl : fix profile-related errors (llama/12095)
Co-authored-by: ubuntu <ubuntu@localhost.localdomain>
2025-03-08 15:13:01 +02:00
8dcadf736b ggml-cpu: Faster IQ1 mul_mat_vec on AVX2 using BMI2 instructions (llama/12154)
* ggml-cpu: Faster IQ1 mul_mat_vec on AVX2 using BMI2 instructions

* cmake: Add GGML_BMI2 build option

* ggml: enable BMI2 on relevant CPU variants

* ggml-cpu: include BMI2 in backend score

* ggml-cpu: register BMI2 in ggml_backend_cpu_get_features

* ggml-cpu: add __BMI2__ define when using MSVC
2025-03-08 15:13:01 +02:00
93986b61e0 SYCL: Disable f16 Unary OPs as not supported by the kernels (llama/12201) 2025-03-08 15:13:01 +02:00
bd1a9e34c9 ggml : fix GGMLMetalClass ODR (llama/12200)
-- it might happen if ggml is loaded from 2 separate libraries since each one of them will expose the class. This is more of a guard since we want to use only Metal as embedded library and don't care about the other case.
2025-03-08 15:13:01 +02:00
cc03608e78 ggml : ggml_compute_forward_concat() for arbitrary tensor type (ggml/1118)
* ggml_compute_forward_concat() for arbitrary tensor type

* Check that tensors' type match

* ggml-cpu.c: check type of source tensors

* ggml-cpu.c: move tensor type check to ggml_compute_forward_concat()

* ggml.c: check concatenated tensor type

* Remove tensor type check from ggml_compute_forward_concat() in ggml-cpu.c

..., as it was moved to ggml.c.
2025-03-08 15:13:01 +02:00
54a54faee4 vulkan : sync (llama/0)
ggml-ci
2025-03-08 15:13:01 +02:00
96a92ecc4c ggml : portability fixes for VS 2017 (llama/12150)
* Add include files for std::min/max and std::toupper/tolower

* win32: move _USE_MATH_DEFINES before includes to ensure M_PI is defined

* Use GGML_RESTRICT instead of "restrict" keyword everywhere, and use "__restrict" in MSVC plain C mode

* win32: only use __restrict in MSVC if C11/C17 support is not enabled

---------

Co-authored-by: Marcus Groeber <Marcus.Groeber@cerence.com>
2025-03-08 15:13:01 +02:00
edd1d8686a HIP: implement FlashAttention via rocWMMA for CDNA and RDNA3+ (llama/12032)
Adds GGML_HIP_ROCWMMA_FATTN and rocwmma header check
Adds rocWMMA support to fattn-wmma-f16
2025-03-08 15:13:01 +02:00
dc6f4e7c05 ggml : fix kleidiai build (llama/12159)
The libggml API has changed, but this has not been updated.
2025-03-08 15:13:01 +02:00
74c85d154e SYCL: Move CPY kernels to a separate file and add few missing kernels (llama/12133)
* SYCL: refactor and move cpy kernels to a separate file

* Add few missing cpy kernels

* refactor and add debug logs
2025-03-08 15:13:01 +02:00
eb2d8b6ffd ggml-backend : keep paths in native string type when possible (llama/12144) 2025-03-08 15:13:01 +02:00
b442dcd598 CUDA: compress mode option and default to size (llama/12029)
cuda 12.8 added the option to specify stronger compression for binaries, so we now default to "size".
2025-03-08 15:13:01 +02:00
c98681e6d5 ggml : upgrade init_tensor API to return a ggml_status (llama/11854)
* Upgrade init_tensor API to return a ggml_status

To prepare for an 'abort-free' ggml
(ggml not to abort on OOMs but return a OOM status),
as agreeed with Diego in the ggml repo,
upgrade the init_tensor() and view_init() APIs
to return a ggml_status.

* misc fixes

---------

Co-authored-by: slaren <slarengh@gmail.com>
2025-03-08 15:13:01 +02:00
3bab804981 vulkan: add specific MMV kernels for IQ2 and IQ3 quants + optimizations (llama/11595)
* vulkan: implement specialized MMV kernels for IQ2 quantizations

* vulkan: add MMV kernels for IQ3 quants

* vulkan: Increase MMV batch size and unroll IQ LUT setup

* vulkan: fix init_iq_shmem for WG sizes larger than tables

* vulkan: common batch size for all I-quants
2025-03-08 15:13:01 +02:00
c927830a70 CUDA: fix logic for V100 + GGML_CUDA_FORCE_MMQ (llama/12098) 2025-03-08 15:13:01 +02:00
992b51b3d5 ggml: aarch64: implement SVE kernels for q2_k_q8_k vector dot (llama/12064)
* Added SVE Support for Q2_K Quantized Models

* Use 4-space indentation in the switch cases

* removed comments lines

* Remove the loop Retain the curly bracess for better understanding of code

* Remove the comment like added for q3_k_q8_k kernel

---------

Co-authored-by: vithulep <p.m.vithule1517@gmail.com>
2025-03-08 15:13:01 +02:00
2c882cbe4c CANN: Fix build error with GCC 13 (llama/11990)
Remove unused header file that causes compilation failure on ARM
platform with GCC 13.
2025-03-08 15:13:01 +02:00
Eve
1fbb119b1e vulkan: matmul dequantization improvements (llama/12015)
* faster dequant for old quants

* dont use unpack for iq4_nl

* vec2 unpack for q8
2025-03-08 15:13:01 +02:00
40dea850fd vulkan: improve im2col (llama/11826)
* vulkan: improve im2col performance
2025-03-08 15:13:01 +02:00
8255a830a8 cmake: Fix ggml backend dependencies and installation (llama/11818)
* Fix dependencies between ggml and backends

ggml backends link only to ggml-base and ggml links to all backends.

* Fix installation of ggml backends

Set up GNUInstallDirs before setting the installation directory of ggml backends
2025-03-08 15:13:01 +02:00
a0f76b2da7 vulkan: fix assertion when qy_needs_dequant (llama/12068)
Looks like a copy/paste bug from qx_needs_dequant.
2025-03-08 15:13:01 +02:00
394768c48b ggml-cpu: Fix build with sve (llama/12059)
* ggml-cpu: Fix build with sve

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* ggml-cpu: Remove unused variable in sve q3_k vec dot

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

---------

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>
2025-03-08 15:13:01 +02:00
846e01b2c0 cuda: unary ops as float + de-duplicate (ggml/1130) 2025-03-08 15:13:01 +02:00
6ac8e6b2ce cuda/vulkan: specify fp32-only support for some operations in supports_op (ggml/1129)
* cuda: restrict SILU_BACK to fp32, since fp16 exceeds the desired test threshold

* vulkan: specify fp32-only support for certain ops (that are now tested for fp16 as well)

* f32 sigmoid in vulkan supports op

* Revert "f32 sigmoid in vulkan supports op"

This reverts commit c6f04b3c19bf4504c2776149c6d8cd84e0b48acb.
2025-03-08 15:13:01 +02:00
60d2ddebdf cuda/cpu: Increase support for fp16 unary operations (ggml/1125)
* Support fp16 unary operations in the CUDA backend

* cpu: increase fp16 support for unary operators in the CPU backend

* cuda: increase fp16 support for unary operators in the CUDA backend

* Add test cases for fp16 unary operators

* metal: update supports_op for unary operators that don't support fp16, to prevent test-backend-ops from failing

* metal: fix PR comments for unary op support after fp16 unary tests
2025-03-08 15:13:01 +02:00
2e180184a8 Told cmake to install ggml-cpp.h as a public header file. (ggml/1126)
It is used by Whisper talk-llama example.

Co-authored-by: Petter Reinholdtsen <pere@debian.org>
2025-03-08 15:13:01 +02:00
ef40950c4a common : more general m_audio_len update logic (#2855)
Co-authored-by: Ivy233 <wangjinrun@uniontech.com>
2025-03-07 10:10:03 +02:00
c774eec709 go : improve model download (#2756)
* Updated models download URL

* Updated list of models available

All of the high efficiency quantized models are rejected when trying to download. They exist on the server. Let's allow them.

* added path prefix for whisper-cli in message to user. The message is misleading if this script is called from another script in a different folder. So the message has to be fixed.

* undid download URL change I made earlier. Fixed filepath.Join(urlPath, model) bug.

* Undid download URL change I made earlier.

Seems that the old URL works but only when provided a model to download. Still doesn't explain why there's a different download URL that also works. Please elucidate in docs.

* Fixed URLForModel Function's bug

filepath.Join is designed for filesystem paths, and it uses backslashes (\) on Windows. URLs, however, require forward slashes (/), so the use of filepath.Join is inappropriate for constructing URLs.

The fmt.Sprintf function ensures that forward slashes are used.

* Fixed URL trailing / double slash bug

Ensure no double slash by trimming trailing '/' from srcUrl if present

* Fixed bad download URL, missing ggml prefix

Not sure if that was a bug I introduced but it was trying to download without the prefix.

* Added question before downloading all models. Added download size estimate

HEAD Requests:
Efficiently fetches file sizes without downloading the content.
Interactive Workflow:
Allows the user to make informed decisions about downloading all models.
Safe Defaults:
Aborts if the user does not explicitly confirm.

* Fixed Unbuffered channel warning.

warning in context.go : misuse of unbuffered os.Signal channel as argument to signal.

The warning indicates that the unbuffered channel used in signal.Notify in context.go may be misused. In Go, unbuffered channels can cause potential deadlocks if signals are sent faster than they are received.

* Fixed download size calculation, download URL prefix bug, added link to models URL for user.

The URL formatter was prepending the model name to the formatted model name in the URL

* Added logs and exes to gitignore

* Delete bindings/go/examples/go-model-download/go-model-download.exe

* Delete whisper_build.log
2025-03-07 10:03:51 +02:00
5b481a27a6 common : fix audio loading by miniaudio (#2862)
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2025-03-04 19:05:21 +02:00
fc7b1ee521 fix: missing include common-whisper (#2858)
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2025-03-02 20:55:11 +02:00
c42f67e2d2 ruby : follow audio library change (#2851)
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* Enable CPU

* Follow audio lib change
2025-02-28 08:09:02 +02:00
339a1cba5d whisper : support GGML_BACKEND_DL (#2843)
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* whisper : support GGML_BACKEND_DL

* fix DTW crash

* whisper.objc : fix build - add ggml-cpp.h

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2025-02-27 13:35:07 +01:00
c64f3e8ada common : separate whisper sources (#2846)
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Publish Docker image / Push Docker image to Docker Hub (map[dockerfile:.devops/main.Dockerfile platform:linux/amd64 tag:main]) (push) Waiting to run
Examples Tests / addon_node-ubuntu-22 (16.x) (push) Has been cancelled
Examples Tests / addon_node-ubuntu-22 (18.x) (push) Has been cancelled
* common : separate whisper sources

* examples : add chrono

* examples : add more headers
2025-02-27 12:50:32 +02:00
9f83f67221 common : fix build min/max (#2845)
* common : try to fix build

* cont : try another fix
2025-02-27 10:39:13 +02:00
7d3da68f79 examples : use miniaudio for direct decoding flac, mp3, ogg and wav (#2759) 2025-02-27 09:06:54 +02:00
b5d21359c1 stream : stop on ^C when no audio is received (#2822)
Add check for ctrl-c in potentially endless loop while calling audio.get()
to receive sound.

Co-authored-by: Petter Reinholdtsen <pere@debian.org>
2025-02-27 08:59:51 +02:00
17addf7104 sync : ggml 2025-02-27 08:55:36 +02:00
cdaee8b4bd Support pure float16 add/sub/mul/div operations in the CUDA (and CPU) backend (ggml/1121)
* Support float16-to-float16 add/sub/mul/div operations in the CUDA backend

* Add fp16 support for add/sub/mul/div on the CPU backend

* Add test cases for fp16 add/sub/mul/div
2025-02-27 08:55:36 +02:00
4b60ff4f92 metal : copy kernels for quant to F32/F16 conversions (llama/12017)
metal: use dequantize_q templates

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2025-02-27 08:55:36 +02:00
b43b9d928c opencl: fix for small models (llama/11950)
* opencl: fix small shape gemv, remove unused extensions

* opencl: fix `transpose_16`, `dump_tensor`, enforce subgroup size

* opencl: fix for token length < 4

* opencl: use wave size of 64 for all Adreno GPUs

---------

Co-authored-by: Shawn Gu <quic_shawngu@quicinc.com>
Co-authored-by: Skyler Szot <quic_sszot@quicinc.com>
2025-02-27 08:55:36 +02:00
e3cb412a59 Optimize mul_mat for Q4_0 on Intel GPU (llama/12035)
* opt performance by reorder for Intel GPU

* detect hw type and save opt feature, and print opt feature

* correct name

* support optimize graph once when compute graph, record the opt status in tensor->extra, make CI passed

* add env variable GGML_SYCL_DISABLE_OPT for debug

* use syclex::architecture replace the custom hw define, update the guide for GGML_SYCL_DISABLE_OPT

* add performance data

* mv getrows functions to separeted files

* fix global variables

---------

Co-authored-by: arthw <14088817+arthw@users.noreply.github.com>
2025-02-27 08:55:36 +02:00
ac301a7d9b SYCL: Fix GGML_SYCL_DEBUG macro (llama/11995) 2025-02-27 08:55:36 +02:00
82e04e7670 ggml-cpu: Support s390x SIMD Instruction Set (llama/12019)
* ggml: add s390x ARCH_FLAGS for compilation

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: add SIMD for s390x using vector intrinsics

SIMD is activated for:
* ggml_vec_dot_f32
* ggml_vec_dot_f16
* ggml_vec_mad_f32
* ggml_vec_mad_f16
* ggml_vec_mad_f32_unroll
* ggml_vec_scale_f32
* ggml_vec_scale_f16

SIMD is NOT activated for:
* ggml_vec_dot_f16_unroll (pending bugfix)

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: fix missing escape character in GGML_F32x4_REDUCE

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: add temporary patch for GGML_F32_ARR and GGML_F16_ARR

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: fix s390x GGML_F32x4_REDUCE

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: full SIMD activation for F32,F16 s390x

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: add option to disable s390x VXE/VXE2

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: change vecintrin.h include to ggml-cpu-impl

* add __VXE__ and __VXE2__ macros

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* cmake: add s390x target detection for VX/VXE/VXE2

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: move s390x vector intrinsics to ggml-cpu-impl.h

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: s390x Q8_0 SIMD

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: correct documentation for Q8_0

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: s390x reduce code complexity Q8_0

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: s390x bugfix typo Q8_0

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: s390x SIMD activated for Q4_1

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: s390x inline vec_reve

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: s390x SIMD activation for Q4_0

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: add VXE backend feature

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: remove test.py

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: s390x SIMD activation for quantize_row_q8_0

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: s390x SIMD activation for quantize_row_q8_1

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: s390x SIMD activation for iq4_xs

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: bugfix iq4_xs

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: s390x SIMD activation for iq4_nl

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: add float, double, and long vector data type

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: clean up iq4_xs SIMD

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: fix improper use of restrict keyword

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: update warning message for ggml_vec_tbl

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: untested implementation of ggml_vec_dot_iq2_xxs_q8_K

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: update ggml_vec_dot_q4_1_q8_1 to use typedefs

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: switch to restrict for iq4_nl

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: slight dot product speed improvement for q4_1_q8_1

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: s390x SIMD activation for q6_K

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: add missing `_t` to ggml_int8x16x4_t

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: fix missing `_t` for ggml_vec_xl_s8x4

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: fix more missing `_t`

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: add unroll and prefetch to Q8_0

increase of 3.86% for prompt processing and 32.22% for token generation

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: patch Q8_0 to use proper vector sizes

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: optimise Q8_0 dot prod compute kernel further

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: add unroll and prefetch to Q4_1

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: refactor Q6_K variable naming for readability

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: fix Q6_K typos

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: s390x SIMD activation for Q5_K

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: fix wrong char*x16_t naming

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: Q5_K y0 wrong signness

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: fix Q5_K invalid uchar type

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: fix Q5_K invalid uchar type

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: s390x SIMD activation for Q4_K

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: fix Q4_K invalid vector intrinsics

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: simplify ggml_padd_s16 compute kernel

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: correct ggml-cpu vxe wording

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: change ggml_aligned_malloc alignment to 256

256 is the cache line size for s390x platforms

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: resolve pr merge via cherry-pick 225bbbf

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml : fix LoongArch compile error with 128-bit SIMD (llama/11701)

* ggml: resolve pr merge via cherry-pick 4571953

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: cmake remove fork when determining s390x machine type

thank you @ericcurtin

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

---------

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
Co-authored-by: Jinyang He <hejinyang@loongson.cn>
Co-authored-by: junchao-zhao <68935141+junchao-loongson@users.noreply.github.com>
2025-02-27 08:55:36 +02:00
38ac47cd4d CUDA: app option to compile without FlashAttention (llama/12025) 2025-02-27 08:55:36 +02:00
2d70cd36d7 CUDA: optimize FA for GQA + large batches (llama/12014) 2025-02-27 08:55:36 +02:00
98dab49b9a cuda: Add Q5_1, Q5_0, Q4_1 and Q4_0 to F32 conversion support. (llama/12000) 2025-02-27 08:55:36 +02:00
b1385e9aa9 CUDA: correct the lowest Maxwell supported by CUDA 12 (llama/11984)
* CUDA: correct the lowest Maxwell supported by CUDA 12

---------

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2025-02-27 08:55:36 +02:00
48f5e893f5 MUSA: support ARM64 and enable dp4a .etc (llama/11843)
* MUSA:  support ARM64 and enable __dp4a .etc

* fix cross entropy loss op for musa

* update

* add cc info log for musa

* add comment for the MUSA .cc calculation block

---------

Co-authored-by: Bodhi Hu <huaishun.hu@mthreads.com>
2025-02-27 08:55:36 +02:00
dc21871fcb ggml-cpu: Add CPU backend support for KleidiAI library (llama/11390)
* ggml-cpu: Add CPU backend support for KleidiAI library

* Add environmental variable GGML_KLEIDIAI_SME

* Add support for multithread LHS conversion

* Switch kernel selection order to dotprod and i8mm

* updates for review comments

* More updates for review comments

* Reorganize and rename KleidiAI files

* Move ggml-cpu-traits.h to source file

* Update cmake for SME build and add alignment for SME

* Remove append GGML_USE_CPU_KLEIDIAI to the GGML_CDEF_PUBLIC list
2025-02-27 08:55:36 +02:00
64a430bc81 ggml: aarch64: implement SVE kernels for q3_K_q8_K vector dot (llama/11917)
* Added SVE Implementation for Q3_K Kernel in ggml-cpu-quants.c file

* Improved Formating of code in  ggml-cpu-quants.c file

* style : minor fixes

* style : less whitespaces

* style : ptr spaceing

---------

Co-authored-by: vithulep <p.m.vithule1517@gmail.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2025-02-27 08:55:36 +02:00
51a3580c79 CUDA: use async data loading for FlashAttention (llama/11894)
* CUDA: use async data loading for FlashAttention

---------

Co-authored-by: Diego Devesa <slarengh@gmail.com>
2025-02-27 08:55:36 +02:00
37a21dd43d vulkan: implement several ops relevant for ggml_opt (llama/11769)
* vulkan: support memset_tensor

* vulkan: support GGML_OP_SUM

* vulkan: implement GGML_OP_ARGMAX

* vulkan: implement GGML_OP_SUB

* vulkan: implement GGML_OP_COUNT_EQUAL

* vulkan: implement GGML_OP_OPT_STEP_ADAMW

* vulkan: fix check_results RWKV_WKV6 crash and memory leaks

* vulkan: implement GGML_OP_REPEAT_BACK

* tests: remove invalid test-backend-ops REPEAT_BACK tests

* vulkan: fix COUNT_EQUAL memset using a fillBuffer command
2025-02-27 08:55:36 +02:00
8a22a8b17f vulkan: support multi/vision rope, and noncontiguous rope (llama/11902) 2025-02-27 08:55:36 +02:00
fcbcad0c90 metal : fix the crash caused by the lack of residency set support on Intel Macs. (llama/11904) 2025-02-27 08:55:36 +02:00
4444db7360 metal : optimize dequant q6_K kernel (llama/11892) 2025-02-27 08:55:36 +02:00
a7fc1038ca repo : update links to new url (llama/11886)
* repo : update links to new url

ggml-ci

* cont : more urls

ggml-ci
2025-02-27 08:55:36 +02:00
1689aaf854 vulkan: initial support for IQ1_S and IQ1_M quantizations (llama/11528)
* vulkan: initial support for IQ1_S and IQ1_M quantizations

* vulkan: define MMV kernels for IQ1 quantizations

* devops: increase timeout of Vulkan tests again

* vulkan: simplify ifdef for init_iq_shmem
2025-02-27 08:55:36 +02:00
4b48fe449a opencl: Fix rope and softmax (llama/11833)
* opencl: fix `ROPE`

* opencl: fix `SOFT_MAX`

* Add fp16 variant

* opencl: enforce subgroup size for `soft_max`
2025-02-27 08:55:36 +02:00
47cc043e69 cuda : add ampere to the list of default architectures (llama/11870) 2025-02-27 08:55:36 +02:00
e3d9ffb98b ggml: optimize some vec dot functions for LoongArch ASX (llama/11842)
* Optimize ggml_vec_dot_q3_K_q8_K for LoongArch ASX

* Optimize ggml_vec_dot_q4_K_q8_K for LoongArch ASX

* Optimize ggml_vec_dot_q6_K_q8_K for LoongArch ASX

* Optimize ggml_vec_dot_q5_K_q8_K for LoongArch ASX

* Optimize ggml_vec_dot_q2_K_q8_K for LoongArch ASX

* Optimize mul_sum_i8_pairs_float for LoongArch ASX

* Optimize ggml_vec_dot_iq4_xs_q8_K for LoongArch ASX
2025-02-27 08:55:36 +02:00
Eve
e22d69839d vulkan: linux builds + small subgroup size fixes (llama/11767)
* mm subgroup size

* upload vulkan x86 builds
2025-02-27 08:55:36 +02:00
defe731263 llamafile: use member variable instead of constant for iq4nlt (llama/11780) 2025-02-27 08:55:36 +02:00
4e07957bf9 musa: bump MUSA SDK version to rc3.1.1 (llama/11822)
* musa: Update MUSA SDK version to rc3.1.1

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* musa: Remove workaround in PR #10042

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

---------

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
2025-02-27 08:55:36 +02:00
d2c5154bb5 ggml-cpu : add chunking support to mul_mat_id (llama/11666)
* ggml-cpu : add chunking support to mul_mat_id

* allocate chunk counter in wdata
parallelize src1 quantization by column to allows parallelization even when there is only one row

* disable for arm

* cleanup

* better way to disable for arm

* fix uninitialized counter when using 1 thread only

* revert test-backend-ops changes
2025-02-27 08:55:36 +02:00
4fac43fe00 ggml : x2 speed for WASM by optimizing SIMD (llama/11453)
* ggml : x2 speed for WASM by optimizing SIMD

* fix bad merging

* rm trailing spaces

* rm redundant clamp

* better quantize_row_q8_K

Co-authored-by: camel-cdr <camel-cdr@protonmail.com>

* remove memset that causes buffer overflow
Co-authored-by: camel-cdr <camel-cdr@protonmail.com>

---------

Co-authored-by: camel-cdr <camel-cdr@protonmail.com>
2025-02-27 08:55:36 +02:00
3be9670f17 HIP: Remove GCN from list of devices that avoid MMQ (llama/11831) 2025-02-27 08:55:36 +02:00
86729fcd6d HIP: Switch to std::vector in rocblas version check (llama/11820) 2025-02-27 08:55:36 +02:00
7fbca6304e cleanup: fix compile warnings associated with gnu_printf (llama/11811) 2025-02-27 08:55:36 +02:00
d597f83e1a ggml : fix multi-threaded clamp_f32 (llama/11824)
* Bug fix for clamp_f32

When using tensors larger than 1d clamp operation does not work due to the restriction of returning if ith is not 0.

* Bug fix for clamp_f32

* Bug fix for clamp_f32
2025-02-27 08:55:36 +02:00
e5edcc6259 ggml-cpu: Fix duplicate MATMUL_INT8 (llama/11817)
Signed-off-by: Weizhao Ouyang <o451686892@gmail.com>
2025-02-27 08:55:36 +02:00
556f773d53 CUDA: fix CUDART_VERSION checks (llama/11821) 2025-02-27 08:55:36 +02:00
91d02de332 Fix #11802: Compile bug - RegQueryValueExA changed to RegQueryValueEx (llama/11803)
* Fix #11802: Compile bug - RegQueryValueExA changed to RegQueryValueEx

* Fix #11802: PR #11803 - keep RegQueryValueExA, remove TEXT macro, description needs to be ANSI string
2025-02-27 08:55:36 +02:00
1b67d72f87 CUDA: use arch list for compatibility check (llama/11775)
* CUDA: use arch list for feature availability check

---------

Co-authored-by: Diego Devesa <slarengh@gmail.com>
2025-02-27 08:55:36 +02:00
14d7c0368d fix: typos in documentation files (llama/11791)
* Update ggml.c

* Update arg.cpp

* Update speculative.h
2025-02-27 08:55:36 +02:00
db6e19188a vulkan: Make Vulkan optional at runtime (ggml/11493). (llama/11494)
Co-authored-by: Jeff Bolz <jbolz@nvidia.com>
2025-02-27 08:55:36 +02:00
b4b063a5c9 vulkan: add environment variable GGML_VK_PREFER_HOST_MEMORY to avoid VRAM allocation (llama/11592) 2025-02-27 08:55:36 +02:00
930b739e7a vulkan: account for lookup tables when checking shared memory size (llama/11502) 2025-02-27 08:55:36 +02:00
5981352bb5 ggml: Fix data race in ggml threadpool (llama/11736)
After the barrier in last iteration is executed, still the loop termination
condition will be executed. However main thread can destroy the cgraph object
and its nodes already, then another thread will access it, but the thing is already gone.
Also trouble can happen when n_nodes == 0 or abort is called, but I'm not sure if the
prior situation is possible.

Last syncronization should be done after the loop to ensure the cgraph/cplan won't be
accessed after the main thread exits from the function.
2025-02-27 08:55:36 +02:00
7561da244e CUDA: fix min. version for movmatrix (llama/11751) 2025-02-27 08:55:36 +02:00
be83f342fb vulkan: print shared memory size (llama/11719) 2025-02-27 08:55:36 +02:00
fd369871f7 SYCL: remove XMX info from print devices (llama/11712) 2025-02-27 08:55:36 +02:00
bbd8364f5e ggml : optimize and build warning fix for LoongArch (llama/11709)
* ggml : optimize convert f32<->f16 for loongarch_asx

* ggml : optimize loongarch_asx extend i16,i8,u8 to i32,i16

* ggml : Fix warnings when run cpu CI locally on LoongArch
2025-02-27 08:55:36 +02:00
e4102440ef SYCL: Adjust support condition for norm operators (llama/11674)
SYCL does not support non contiguous tensors for norm operations
2025-02-27 08:55:36 +02:00
f8242ec483 ggml : fix LoongArch compile error with 128-bit SIMD (llama/11701) 2025-02-27 08:55:36 +02:00
ef51b4cba4 vulkan: optimize coopmat2 iq2/iq3 callbacks (llama/11521)
* vulkan: optimize coopmat2 iq2/iq3 callbacks

* build: trigger CI on GLSL compute shader changes
2025-02-27 08:55:36 +02:00
6f08b24146 vulkan: initial support for IQ4_XS quantization (llama/11501) 2025-02-27 08:55:36 +02:00
7c165d7fa8 vulkan: use smaller combined allocations to avoid fragmentation (llama/11551) 2025-02-27 08:55:36 +02:00
2f0cf44915 metal : avoid breaking build when metal API predates TARGET_OS_VISION (llama/11690)
Avoids breakage in nix flake build introduced by b0569130c5e9c671152c913d82803b7c2f014ff9
2025-02-27 08:55:36 +02:00
b9c972fd0d metal : adjust support conditions for norm operators (llama/11671)
cont #11659

ggml-ci
2025-02-27 08:55:36 +02:00
01c9aafbfd CUDA: support for mat. mul. with ne03 != ne13 (llama/11656) 2025-02-27 08:55:36 +02:00
bae6bbf487 CUDA: non-contiguous (RMS) norm support (llama/11659)
* CUDA: non-contiguous (RMS) norm support

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2025-02-27 08:55:36 +02:00
c310272fa0 HIP: force max threads per block to be 1024 (llama/11621)
Some old/vendor forked version of llvm still use 256. Explicitly set it to 1024 to align with upstream llvm.

Signed-off-by: fxzjshm <fxzjshm@163.com>
2025-02-27 08:55:36 +02:00
bd0b55dbe0 metal : use residency set for other platforms (llama/11648) 2025-02-27 08:55:36 +02:00
ba4645db2c rpc: fix known RCE in rpc-server (ggml/1103)
Add bounds checking in `rpc_server::copy_tensor` to prevent out-of-bounds writes
+ Check if  `(uint8_t *)dst->data + ggml_nbytes(src)` remains within the destination buffer’s allocated region.
2025-02-27 08:55:36 +02:00
dfc6ca62f3 stream : add beam size parameter(#2836)
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* feat: Add beam size parameter to stream.cpp for beam search configuration

* feat: Add beam size parameter to whisper full params in stream example

* fix: Remove duplicate beam search size assignment in server.cpp
2025-02-25 11:39:33 +02:00
47e14c0529 whisper : restore big endian support (#2816)
* whisper : fix BYTESWAP whitespace

* whisper : make byteswap useable with C++17

* cmake : define WHISPER_BIG_ENDIAN for big-endian targets

* ci : fix (again) arm64 build fails

* docker : attempt fixing arm64 build on ci

* qemu v7.0.0-28

[imported from
https://github.com/ggml-org/llama.cpp
/commit/818a340ea8be55b3706e1772527cb8738e90a8c7
(#11895)]

---------

Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com>
2025-02-25 11:38:13 +02:00
452 changed files with 171016 additions and 51250 deletions

View File

@ -13,8 +13,6 @@ WORKDIR /app
ARG CUDA_DOCKER_ARCH=all
# Set nvcc architecture
ENV CUDA_DOCKER_ARCH=${CUDA_DOCKER_ARCH}
# Enable cuBLAS
ENV GGML_CUDA=1
RUN apt-get update && \
apt-get install -y build-essential libsdl2-dev wget cmake git \
@ -25,7 +23,8 @@ ENV CUDA_MAIN_VERSION=12.3
ENV LD_LIBRARY_PATH /usr/local/cuda-${CUDA_MAIN_VERSION}/compat:$LD_LIBRARY_PATH
COPY .. .
RUN make base.en
# Enable cuBLAS
RUN make base.en CMAKE_ARGS="-DGGML_CUDA=1"
FROM ${BASE_CUDA_RUN_CONTAINER} AS runtime
ENV CUDA_MAIN_VERSION=12.3
@ -37,4 +36,5 @@ RUN apt-get update && \
&& rm -rf /var/lib/apt/lists/* /var/cache/apt/archives/*
COPY --from=build /app /app
ENV PATH=/app/build/bin:$PATH
ENTRYPOINT [ "bash", "-c" ]

View File

@ -0,0 +1,29 @@
ARG UBUNTU_VERSION=22.04
# This needs to generally match the container host's environment.
ARG MUSA_VERSION=rc3.1.1
# Target the MUSA build image
ARG BASE_MUSA_DEV_CONTAINER=mthreads/musa:${MUSA_VERSION}-devel-ubuntu${UBUNTU_VERSION}
# Target the MUSA runtime image
ARG BASE_MUSA_RUN_CONTAINER=mthreads/musa:${MUSA_VERSION}-runtime-ubuntu${UBUNTU_VERSION}
FROM ${BASE_MUSA_DEV_CONTAINER} AS build
WORKDIR /app
RUN apt-get update && \
apt-get install -y build-essential libsdl2-dev wget cmake git \
&& rm -rf /var/lib/apt/lists/* /var/cache/apt/archives/*
COPY .. .
# Enable muBLAS
RUN make base.en CMAKE_ARGS="-DGGML_MUSA=1"
FROM ${BASE_MUSA_RUN_CONTAINER} AS runtime
WORKDIR /app
RUN apt-get update && \
apt-get install -y curl ffmpeg wget cmake git \
&& rm -rf /var/lib/apt/lists/* /var/cache/apt/archives/*
COPY --from=build /app /app
ENV PATH=/app/build/bin:$PATH
ENTRYPOINT [ "bash", "-c" ]

View File

@ -16,4 +16,5 @@ RUN apt-get update && \
&& rm -rf /var/lib/apt/lists/* /var/cache/apt/archives/*
COPY --from=build /app /app
ENV PATH=/app/build/bin:$PATH
ENTRYPOINT [ "bash", "-c" ]

3
.dockerignore Normal file
View File

@ -0,0 +1,3 @@
build*/
.github/
.devops/

View File

@ -1,45 +1,11 @@
name: Bindings Tests (Ruby)
on:
push:
paths:
- bindings/ruby/**
- src/**/*.c
- src/**/*.cpp
- src/**/*.h
- src/**/*.m
- src/**/*.metal
- include/**/*.c
- include/**/*.cpp
- include/**/*.h
- include/**/*.m
- include/**/*.metal
- ggml/**/*.c
- ggml/**/*.cpp
- ggml/**/*.h
- ggml/**/*.m
- ggml/**/*.metal
- scripts/get-flags.mk
- examples/dr_wav.h
branches:
- master
pull_request:
paths:
- bindings/ruby/**
- src/**/*.c
- src/**/*.cpp
- src/**/*.h
- src/**/*.m
- src/**/*.metal
- include/**/*.c
- include/**/*.cpp
- include/**/*.h
- include/**/*.m
- include/**/*.metal
- ggml/**/*.c
- ggml/**/*.cpp
- ggml/**/*.h
- ggml/**/*.m
- ggml/**/*.metal
- scripts/get-flags.mk
- examples/dr_wav.h
types: [opened, synchronize, reopened]
jobs:
ubuntu-22:
@ -50,6 +16,6 @@ jobs:
steps:
- uses: ruby/setup-ruby@v1
with:
ruby-version: '3.1'
ruby-version: '3.2'
- uses: actions/checkout@v4
- run: rake test

View File

@ -6,17 +6,81 @@ on:
- master
pull_request:
types: [opened, synchronize, reopened]
workflow_dispatch:
inputs:
create_release:
description: 'Create new release'
required: true
type: boolean
pre_release_tag:
description: 'Pre-release tag name'
required: false
type: string
run_type:
description: 'Workflow type to run'
required: true
type: choice
options:
- full-ci
- release-only
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
permissions:
contents: write # for creating release
env:
BRANCH_NAME: ${{ github.head_ref || github.ref_name }}
ubuntu_image: "ubuntu:22.04"
VCPKG_BINARY_SOURCES: "clear;x-gha,readwrite"
jobs:
determine-tag:
runs-on: ubuntu-latest
outputs:
tag_name: ${{ steps.tag.outputs.name }}
steps:
- name: Checkout with full history
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Determine tag name
id: tag
shell: bash
run: |
BUILD_NUMBER=$(git rev-list --count HEAD)
SHORT_HASH=$(git rev-parse --short=7 HEAD)
CUSTOM_TAG="${{ github.event.inputs.pre_release_tag }}"
echo "Raw values:"
echo "BUILD_NUMBER: $BUILD_NUMBER"
echo "SHORT_HASH: $SHORT_HASH"
echo "BRANCH_NAME: ${{ env.BRANCH_NAME }}"
echo "CUSTOM_TAG: $CUSTOM_TAG"
# Use custom tag if provided
if [[ -n "$CUSTOM_TAG" ]]; then
echo "Using custom tag"
TAG_NAME="${CUSTOM_TAG}"
elif [[ "${{ env.BRANCH_NAME }}" == "master" ]]; then
echo "Using master branch format"
TAG_NAME="b${BUILD_NUMBER}"
else
echo "Using non-master branch format"
SAFE_NAME=$(echo "${{ env.BRANCH_NAME }}" | tr '/' '-')
TAG_NAME="${SAFE_NAME}-b${BUILD_NUMBER}-${SHORT_HASH}"
fi
echo "Final tag name: $TAG_NAME"
echo "name=$TAG_NAME" >> $GITHUB_OUTPUT
ubuntu-22:
if: ${{ github.event_name == 'push' || github.event_name == 'pull_request' ||
github.event.inputs.run_type == 'full-ci' }}
runs-on: ubuntu-22.04
strategy:
@ -43,6 +107,8 @@ jobs:
cmake --build build --config Release -j $(nproc)'
ubuntu-22-arm64:
if: ${{ github.event_name == 'push' || github.event_name == 'pull_request' ||
github.event.inputs.run_type == 'full-ci' }}
runs-on: ubuntu-22.04
strategy:
@ -69,6 +135,8 @@ jobs:
cmake --build build --config Release -j $(nproc)'
ubuntu-22-arm-v7:
if: ${{ github.event_name == 'push' || github.event_name == 'pull_request' ||
github.event.inputs.run_type == 'full-ci' }}
runs-on: ubuntu-22.04
strategy:
@ -95,12 +163,25 @@ jobs:
cmake --build build --config Release -j $(nproc)'
macOS-latest:
if: ${{ github.event_name == 'push' || github.event_name == 'pull_request' ||
github.event.inputs.run_type == 'full-ci' }}
runs-on: macOS-latest
strategy:
matrix:
destination: ['generic/platform=macOS', 'generic/platform=iOS', 'generic/platform=tvOS']
steps:
- name: Clone
id: checkout
uses: actions/checkout@v4
- name: ccache
uses: hendrikmuhs/ccache-action@v1.2.16
with:
key: macOS-latest-swift
evict-old-files: 1d
- name: Dependencies
run: |
brew update
@ -108,28 +189,38 @@ jobs:
- name: Build
run: |
cmake -B build
cmake --build build --config Release
sysctl -a
cmake -B build -G Xcode \
-DGGML_METAL_USE_BF16=ON \
-DGGML_METAL_EMBED_LIBRARY=ON \
-DWHISPER_BUILD_EXAMPLES=OFF \
-DWHISPER_BUILD_TESTS=OFF \
-DWHISPER_BUILD_SERVER=OFF \
-DCMAKE_OSX_ARCHITECTURES="arm64;x86_64"
cmake --build build --config Release -j $(sysctl -n hw.logicalcpu)
# freeBSD-latest:
# runs-on: macos-12
# runs-on: macos-13
#
# steps:
# - name: Clone
# uses: actions/checkout@v4
#
# - name: Build
# uses: cross-platform-actions/action@v0.24.0
# uses: cross-platform-actions/action@v0.27.0
# with:
# operating_system: freebsd
# version: '13.3'
# version: '14.2'
# run: |
# sudo pkg update
# sudo pkg install -y gmake sdl2 cmake
# sudo pkg install -y gmake sdl2 cmake git
# cmake -B build
# cmake --build build --config Release
ubuntu-22-gcc:
if: ${{ github.event_name == 'push' || github.event_name == 'pull_request' ||
github.event.inputs.run_type == 'full-ci' }}
runs-on: ubuntu-22.04
strategy:
@ -158,6 +249,8 @@ jobs:
ctest -L gh --output-on-failure'
ubuntu-22-gcc-arm64:
if: ${{ github.event_name == 'push' || github.event_name == 'pull_request' ||
github.event.inputs.run_type == 'full-ci' }}
runs-on: ubuntu-22.04
strategy:
@ -186,6 +279,8 @@ jobs:
ctest -L gh --output-on-failure'
ubuntu-22-gcc-arm-v7:
if: ${{ github.event_name == 'push' || github.event_name == 'pull_request' ||
github.event.inputs.run_type == 'full-ci' }}
runs-on: ubuntu-22.04
strategy:
@ -214,6 +309,8 @@ jobs:
ctest -L gh --output-on-failure'
ubuntu-22-clang:
if: ${{ github.event_name == 'push' || github.event_name == 'pull_request' ||
github.event.inputs.run_type == 'full-ci' }}
runs-on: ubuntu-22.04
strategy:
@ -245,6 +342,8 @@ jobs:
ctest -L gh --output-on-failure'
ubuntu-22-gcc-sanitized:
if: ${{ github.event_name == 'push' || github.event_name == 'pull_request' ||
github.event.inputs.run_type == 'full-ci' }}
runs-on: ubuntu-22.04
strategy:
@ -268,11 +367,15 @@ jobs:
set -e
apt update
apt install -y build-essential cmake git
cmake . -DCMAKE_BUILD_TYPE=Debug -DWHISPER_SANITIZE_${{ matrix.sanitizer }}=ON
cmake . -DCMAKE_BUILD_TYPE=Debug \
-DWHISPER_SANITIZE_${{ matrix.sanitizer }}=ON \
-DGGML_OPENMP=OFF
make
ctest -L gh --output-on-failure'
ubuntu-22-cmake-sycl:
if: ${{ github.event_name == 'push' || github.event_name == 'pull_request' ||
github.event.inputs.run_type == 'full-ci' }}
runs-on: ubuntu-22.04
strategy:
@ -323,6 +426,8 @@ jobs:
cmake --build . --config Release -j $(nproc)
ubuntu-22-cmake-sycl-fp16:
if: ${{ github.event_name == 'push' || github.event_name == 'pull_request' ||
github.event.inputs.run_type == 'full-ci' }}
runs-on: ubuntu-22.04
strategy:
@ -373,6 +478,8 @@ jobs:
cmake --build . --config Release -j $(nproc)
windows-msys2:
if: ${{ github.event_name == 'push' || github.event_name == 'pull_request' ||
github.event.inputs.run_type == 'full-ci' }}
runs-on: windows-latest
strategy:
@ -417,6 +524,8 @@ jobs:
cmake --build build --config ${{ matrix.build }} -j $(nproc)
windows:
if: ${{ github.event_name == 'push' || github.event_name == 'pull_request' ||
github.event.inputs.run_type == 'full-ci' }}
runs-on: windows-latest
strategy:
@ -452,6 +561,7 @@ jobs:
run: >
cmake -S . -B ./build -A ${{ matrix.arch }}
-DCMAKE_BUILD_TYPE=${{ matrix.build }}
-DBUILD_SHARED_LIBS=ON
-DWHISPER_SDL2=${{ matrix.sdl2 }}
- name: Build
@ -463,12 +573,37 @@ jobs:
if: matrix.sdl2 == 'ON'
run: copy "$env:SDL2_DIR/../lib/${{ matrix.s2arc }}/SDL2.dll" build/bin/${{ matrix.build }}
- name: Upload dll
- name: Upload SDL2.dll
if: matrix.sdl2 == 'ON'
uses: actions/upload-artifact@v4
with:
name: ${{ matrix.jnaPath }}_whisper.dll
name: ${{ matrix.s2arc }}_SDL2.dll
path: build/bin/${{ matrix.build }}/SDL2.dll
- name: Upload whisper dll
uses: actions/upload-artifact@v4
with:
name: whisper_${{ matrix.arch }}.dll
path: build/bin/${{ matrix.build }}/whisper.dll
- name: Upload ggml dll
uses: actions/upload-artifact@v4
with:
name: ggml_${{ matrix.arch }}.dll
path: build/bin/${{ matrix.build }}/ggml.dll
- name: Upload ggml base dll
uses: actions/upload-artifact@v4
with:
name: ggml_base_${{ matrix.arch }}.dll
path: build/bin/${{ matrix.build }}/ggml-base.dll
- name: Upload ggml cpu dll
uses: actions/upload-artifact@v4
with:
name: ggml_cpu_${{ matrix.arch }}.dll
path: build/bin/${{ matrix.build }}/ggml-cpu.dll
- name: Upload binaries
if: matrix.sdl2 == 'ON'
uses: actions/upload-artifact@v4
@ -477,6 +612,8 @@ jobs:
path: build/bin/${{ matrix.build }}
windows-blas:
if: ${{ github.event_name == 'push' || github.event_name == 'pull_request' ||
github.event.inputs.run_type == 'full-ci' }}
runs-on: windows-latest
strategy:
@ -550,6 +687,8 @@ jobs:
path: build/bin/${{ matrix.build }}
windows-cublas:
if: ${{ github.event_name == 'push' || github.event_name == 'pull_request' ||
github.event.inputs.run_type == 'full-ci' }}
runs-on: windows-2019
strategy:
matrix:
@ -566,15 +705,134 @@ jobs:
- name: Clone repository
uses: actions/checkout@v4
- name: Install Ninja
id: install_ninja
run: |
choco install ninja
- name: Install ccache
uses: hendrikmuhs/ccache-action@v1.2.16
with:
key: ${{ github.job }}-${{ matrix.cuda-toolkit }}-${{ matrix.build }}
variant: sccache
evict-old-files: 5d
- name: Install Cuda Toolkit 11.8.0
if: ${{ matrix.cuda-toolkit == '11.8.0' }}
run: |
$CUDA_VERSION = ${{ matrix.cuda-toolkit }}
$CUDA_TOOLKIT_DIR = "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v$CUDA_VERSION"
$CUDA_DOWNLOAD = "https://developer.download.nvidia.com/compute/cuda/redist"
# Components versions
$CUDART_VER = "11.8.89"
$NVCC_VER = "11.8.89"
$NVRTC_VER = "11.8.89"
$CUBLAS_VER = "11.8.1.74"
$NVTX_VER = "11.8.86"
$VS_VER = "11.8.86"
$NVPROF_VER = "11.8.87"
$CCCL_VER = "11.8.89"
# Create the directory where the CUDA Toolkit will be installed
mkdir -p $CUDA_TOOLKIT_DIR
# Install unzip to extract the downloaded files
choco install unzip -y
# Download all the required components
curl -O "$CUDA_DOWNLOAD/cuda_cudart/windows-x86_64/cuda_cudart-windows-x86_64-${CUDART_VER}-archive.zip"
curl -O "$CUDA_DOWNLOAD/cuda_nvcc/windows-x86_64/cuda_nvcc-windows-x86_64-${NVCC_VER}-archive.zip"
curl -O "$CUDA_DOWNLOAD/cuda_nvrtc/windows-x86_64/cuda_nvrtc-windows-x86_64-${NVRTC_VER}-archive.zip"
curl -O "$CUDA_DOWNLOAD/libcublas/windows-x86_64/libcublas-windows-x86_64-${CUBLAS_VER}-archive.zip"
curl -O "$CUDA_DOWNLOAD/cuda_nvtx/windows-x86_64/cuda_nvtx-windows-x86_64-${NVTX_VER}-archive.zip"
curl -O "$CUDA_DOWNLOAD/visual_studio_integration/windows-x86_64/visual_studio_integration-windows-x86_64-${VS_VER}-archive.zip"
curl -O "$CUDA_DOWNLOAD/cuda_nvprof/windows-x86_64/cuda_nvprof-windows-x86_64-${NVPROF_VER}-archive.zip"
curl -O "$CUDA_DOWNLOAD/cuda_cccl/windows-x86_64/cuda_cccl-windows-x86_64-${CCCL_VER}-archive.zip"
# Extract all the downloaded files to the CUDA Toolkit directory
unzip '*.zip' -d $CUDA_TOOLKIT_DIR
# Copy all the extracted files to the main CUDA Toolkit directory
xcopy "$CUDA_TOOLKIT_DIR\cuda_cudart-windows-x86_64-${CUDART_VER}-archive\*" "$CUDA_TOOLKIT_DIR" /E /I /H /Y
xcopy "$CUDA_TOOLKIT_DIR\cuda_nvcc-windows-x86_64-${NVCC_VER}-archive\*" "$CUDA_TOOLKIT_DIR" /E /I /H /Y
xcopy "$CUDA_TOOLKIT_DIR\cuda_nvrtc-windows-x86_64-${NVRTC_VER}-archive\*" "$CUDA_TOOLKIT_DIR" /E /I /H /Y
xcopy "$CUDA_TOOLKIT_DIR\libcublas-windows-x86_64-${CUBLAS_VER}-archive\*" "$CUDA_TOOLKIT_DIR" /E /I /H /Y
xcopy "$CUDA_TOOLKIT_DIR\cuda_nvtx-windows-x86_64-${NVTX_VER}-archive\*" "$CUDA_TOOLKIT_DIR" /E /I /H /Y
xcopy "$CUDA_TOOLKIT_DIR\cuda_nvprof-windows-x86_64-${NVPROF_VER}-archive\*" "$CUDA_TOOLKIT_DIR" /E /I /H /Y
xcopy "$CUDA_TOOLKIT_DIR\cuda_cccl-windows-x86_64-${CCCL_VER}-archive\*" "$CUDA_TOOLKIT_DIR" /E /I /H /Y
xcopy "$CUDA_TOOLKIT_DIR\visual_studio_integration-windows-x86_64-${VS_VER}-archive\*" "$CUDA_TOOLKIT_DIR" /E /I /H /Y
# Visual Studio integration
xcopy "$CUDA_TOOLKIT_DIR\visual_studio_integration-windows-x86_64-${VS_VER}-archive\visual_studio_integration\MSBuildExtensions\*" "C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\MSBuild\Microsoft\VC\v160\BuildCustomizations" /E /I /H /Y
# Set environment variables
echo "$CUDA_TOOLKIT_DIR\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
echo "$CUDA_TOOLKIT_DIR\libnvvp" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
echo "CUDA_PATH=$CUDA_TOOLKIT_DIR" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8
echo "CUDA_PATH_V11_8=$CUDA_TOOLKIT_DIR" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8
- name: Install Cuda Toolkit 12.2.0
if: ${{ matrix.cuda-toolkit == '12.2.0' }}
run: |
$CUDA_VERSION = ${{ matrix.cuda-toolkit }}
$CUDA_TOOLKIT_DIR = "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v$CUDA_VERSION"
$CUDA_DOWNLOAD = "https://developer.download.nvidia.com/compute/cuda/redist"
# Components versions
$CUDART_VER = "12.2.140"
$NVCC_VER = "12.2.140"
$NVRTC_VER = "12.2.140"
$CUBLAS_VER = "12.2.5.6"
$NVTX_VER = "12.2.140"
$PROFILER_VER = "12.2.140"
$VS_VER = "12.2.140"
$NVPROF_VER = "12.2.142"
$CCCL_VER = "12.2.140"
# Create the directory where the CUDA Toolkit will be installed
mkdir -p $CUDA_TOOLKIT_DIR
# Install unzip to extract the downloaded files
choco install unzip -y
# Download all the required components
curl -O "$CUDA_DOWNLOAD/cuda_cudart/windows-x86_64/cuda_cudart-windows-x86_64-${CUDART_VER}-archive.zip"
curl -O "$CUDA_DOWNLOAD/cuda_nvcc/windows-x86_64/cuda_nvcc-windows-x86_64-${NVCC_VER}-archive.zip"
curl -O "$CUDA_DOWNLOAD/cuda_nvrtc/windows-x86_64/cuda_nvrtc-windows-x86_64-${NVRTC_VER}-archive.zip"
curl -O "$CUDA_DOWNLOAD/libcublas/windows-x86_64/libcublas-windows-x86_64-${CUBLAS_VER}-archive.zip"
curl -O "$CUDA_DOWNLOAD/cuda_nvtx/windows-x86_64/cuda_nvtx-windows-x86_64-${NVTX_VER}-archive.zip"
curl -O "$CUDA_DOWNLOAD/cuda_profiler_api/windows-x86_64/cuda_profiler_api-windows-x86_64-${PROFILER_VER}-archive.zip"
curl -O "$CUDA_DOWNLOAD/visual_studio_integration/windows-x86_64/visual_studio_integration-windows-x86_64-${VS_VER}-archive.zip"
curl -O "$CUDA_DOWNLOAD/cuda_nvprof/windows-x86_64/cuda_nvprof-windows-x86_64-${NVPROF_VER}-archive.zip"
curl -O "$CUDA_DOWNLOAD/cuda_cccl/windows-x86_64/cuda_cccl-windows-x86_64-${CCCL_VER}-archive.zip"
# Extract all the downloaded files to the CUDA Toolkit directory
unzip -q '*.zip' -d $CUDA_TOOLKIT_DIR
# Copy all the extracted files to the main CUDA Toolkit directory
xcopy "$CUDA_TOOLKIT_DIR\cuda_cudart-windows-x86_64-${CUDART_VER}-archive\*" "$CUDA_TOOLKIT_DIR" /E /I /H /Y
xcopy "$CUDA_TOOLKIT_DIR\cuda_nvcc-windows-x86_64-${NVCC_VER}-archive\*" "$CUDA_TOOLKIT_DIR" /E /I /H /Y
xcopy "$CUDA_TOOLKIT_DIR\cuda_nvrtc-windows-x86_64-${NVRTC_VER}-archive\*" "$CUDA_TOOLKIT_DIR" /E /I /H /Y
xcopy "$CUDA_TOOLKIT_DIR\libcublas-windows-x86_64-${CUBLAS_VER}-archive\*" "$CUDA_TOOLKIT_DIR" /E /I /H /Y
xcopy "$CUDA_TOOLKIT_DIR\cuda_nvtx-windows-x86_64-${NVTX_VER}-archive\*" "$CUDA_TOOLKIT_DIR" /E /I /H /Y
xcopy "$CUDA_TOOLKIT_DIR\cuda_nvprof-windows-x86_64-${NVPROF_VER}-archive\*" "$CUDA_TOOLKIT_DIR" /E /I /H /Y
xcopy "$CUDA_TOOLKIT_DIR\cuda_cccl-windows-x86_64-${CCCL_VER}-archive\*" "$CUDA_TOOLKIT_DIR" /E /I /H /Y
xcopy "$CUDA_TOOLKIT_DIR\cuda_profiler_api-windows-x86_64-${PROFILER_VER}-archive\*" "$CUDA_TOOLKIT_DIR" /E /I /H /Y
xcopy "$CUDA_TOOLKIT_DIR\visual_studio_integration-windows-x86_64-${VS_VER}-archive\*" "$CUDA_TOOLKIT_DIR" /E /I /H /Y
# Visual Studio integration
xcopy "$CUDA_TOOLKIT_DIR\visual_studio_integration-windows-x86_64-${VS_VER}-archive\visual_studio_integration\MSBuildExtensions\*" "C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\MSBuild\Microsoft\VC\v160\BuildCustomizations" /E /I /H /Y
# Set environment variables
echo "$CUDA_TOOLKIT_DIR\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
echo "$CUDA_TOOLKIT_DIR\libnvvp" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
echo "CUDA_PATH=$CUDA_TOOLKIT_DIR" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8
echo "CUDA_PATH_V12_2=$CUDA_TOOLKIT_DIR" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8
- name: Add msbuild to PATH
uses: microsoft/setup-msbuild@v2
- name: Install CUDA Toolkit
id: cuda-toolkit
uses: Jimver/cuda-toolkit@v0.2.15
with:
cuda: '${{ matrix.cuda-toolkit }}'
- name: Install 7-Zip
run: choco install 7zip -y
@ -586,25 +844,30 @@ jobs:
echo "SDL2_DIR=${{ github.workspace }}\SDL2-${{ matrix.sdl2_ver }}\cmake" | Out-File -FilePath $env:GITHUB_ENV -Append
echo "${{ github.workspace }}\SDL2-${{ matrix.sdl2_ver }}\cmake" > SDL2_PATH.txt
- name: Configure CMake
shell: cmd
run: |
cmake -S . -B ./build -A ${{ matrix.arch }} ^
-DCMAKE_BUILD_TYPE=${{ matrix.build }} ^
-DGGML_CUDA=${{ matrix.cublas }} ^
-DCMAKE_CUDA_ARCHITECTURES=all ^
-DWHISPER_SDL2=${{ matrix.sdl2 }} ^
-DSDL2_DIR="%SDL2_DIR%"
- name: Install cmake
run: choco install cmake
- name: Build Project
shell: cmd
run: |
cd ./build
cmake --build . --config ${{ matrix.build }}
call "C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\VC\Auxiliary\Build\vcvars64.bat"
cmake --version
where cmake
cmake -S . -B build -G "Ninja Multi-Config" ^
-DCMAKE_BUILD_TYPE=${{ matrix.build }} ^
-DGGML_CUDA=${{ matrix.cublas }} ^
-DWHISPER_SDL2=${{ matrix.sdl2 }} ^
-DSDL2_DIR="%SDL2_DIR%"
set /A NINJA_JOBS=%NUMBER_OF_PROCESSORS%-1
cmake --build build --config ${{ matrix.build }} -j %NUMBER_OF_PROCESSORS%
- name: Check sccache status after build
run: |
sccache --show-stats
- name: Copy CUDA DLLs
run: |
Get-ChildItem "${{ steps.cuda-toolkit.outputs.CUDA_PATH }}/bin/" -Filter "*.dll" |
Get-ChildItem "$env:CUDA_PATH\bin\" -Filter "*.dll" |
Copy-Item -Destination "build/bin/${{ matrix.build }}"
- name: Copy SDL2.dll
@ -618,6 +881,8 @@ jobs:
path: build/bin/${{ matrix.build }}
emscripten:
if: ${{ github.event_name == 'push' || github.event_name == 'pull_request' ||
github.event.inputs.run_type == 'full-ci' }}
runs-on: ubuntu-22.04
strategy:
@ -641,6 +906,7 @@ jobs:
ios-xcode-build:
runs-on: macos-latest
needs: determine-tag
strategy:
matrix:
@ -671,20 +937,38 @@ jobs:
-DCMAKE_OSX_DEPLOYMENT_TARGET=14.0 \
-DCMAKE_XCODE_ATTRIBUTE_DEVELOPMENT_TEAM=ggml
cmake --build . --config Release -j $(sysctl -n hw.logicalcpu) -- CODE_SIGNING_ALLOWED=NO
sudo cmake --install . --config Release
- name: xcodebuild for swift package
id: xcodebuild
run: |
xcodebuild -scheme whisper-Package -destination 'generic/platform=iOS'
./build-xcframework.sh
- name: Build objc example
run: xcodebuild -project examples/whisper.objc/whisper.objc.xcodeproj -scheme whisper.objc -configuration ${{ matrix.build }} -sdk iphoneos CODE_SIGN_IDENTITY="" CODE_SIGNING_REQUIRED=NO build
run: xcodebuild -project examples/whisper.objc/whisper.objc.xcodeproj -scheme whisper.objc -configuration ${{ matrix.build }} -sdk iphoneos CODE_SIGN_IDENTITY="" CODE_SIGNING_REQUIRED=NO FRAMEWORK_FOLDER_PATH=./build-ios build
- name: Build swiftui example
run: xcodebuild -project examples/whisper.swiftui/whisper.swiftui.xcodeproj -scheme WhisperCppDemo -configuration ${{ matrix.build }} -sdk iphoneos CODE_SIGNING_REQUIRED=NO CODE_SIGN_IDENTITY= -destination 'generic/platform=iOS' build
run: xcodebuild -project examples/whisper.swiftui/whisper.swiftui.xcodeproj -scheme WhisperCppDemo -configuration ${{ matrix.build }} -sdk iphoneos CODE_SIGNING_REQUIRED=NO CODE_SIGN_IDENTITY= -destination 'generic/platform=iOS' FRAMEWORK_FOLDER_PATH=./build-ios build
- name: Pack artifacts
id: pack_artifacts
if: ${{ (github.event_name == 'push' && github.ref == 'refs/heads/master') ||
github.event.inputs.create_release == 'true' ||
github.event.inputs.pre_release_tag != '' }}
run: |
zip --symlinks -r whisper-${{ needs.determine-tag.outputs.tag_name }}-xcframework.zip build-apple/whisper.xcframework
- name: Upload artifacts
if: ${{ (github.event_name == 'push' && github.ref == 'refs/heads/master') ||
github.event.inputs.create_release == 'true' ||
github.event.inputs.pre_release_tag != '' }}
uses: actions/upload-artifact@v4
with:
path: whisper-${{ needs.determine-tag.outputs.tag_name }}-xcframework.zip
name: whisper-${{ needs.determine-tag.outputs.tag_name }}-xcframework
android:
if: ${{ github.event_name == 'push' || github.event_name == 'pull_request' ||
github.event.inputs.run_type == 'full-ci' }}
runs-on: ubuntu-22.04
steps:
@ -713,64 +997,113 @@ jobs:
cd whisper/examples/whisper.android
./gradlew assembleRelease --no-daemon
# TODO: disable because of following fail: https://github.com/ggerganov/whisper.cpp/actions/runs/11019444420/job/30627193602
# android_java:
# runs-on: ubuntu-22.04
#
# steps:
# - name: Clone
# uses: actions/checkout@v4
#
# - name: set up JDK 11
# uses: actions/setup-java@v4
# with:
# java-version: '11'
# distribution: 'temurin'
# cache: gradle
#
# - name: Setup Android SDK
# uses: android-actions/setup-android@v3
# with:
# cmdline-tools-version: 9.0
#
# - name: Build
# run: |
# cd examples/whisper.android.java
# chmod +x ./gradlew
# ./gradlew assembleRelease
android_java:
runs-on: ubuntu-22.04
steps:
- name: Clone
uses: actions/checkout@v4
- name: set up JDK 11
uses: actions/setup-java@v4
with:
java-version: '11'
distribution: 'temurin'
cache: gradle
- name: Setup Android SDK
uses: android-actions/setup-android@v3
with:
cmdline-tools-version: 9.0
- name: Build
run: |
cd examples/whisper.android.java
chmod +x ./gradlew
./gradlew assembleRelease
bindings-java:
if: ${{ github.event_name == 'push' || github.event_name == 'pull_request' ||
github.event.inputs.run_type == 'full-ci' }}
needs: ['windows']
runs-on: windows-latest
steps:
- uses: actions/checkout@v4
- name: Install Java
uses: actions/setup-java@v4
with:
distribution: zulu
java-version: 20
- name: Download Whisper Windows lib
uses: actions/download-artifact@v4
with:
name: whisper_x64.dll
- name: Download GGML Windows lib
uses: actions/download-artifact@v4
with:
name: ggml_x64.dll
- name: Download GGML Base Windows lib
uses: actions/download-artifact@v4
with:
name: ggml_base_x64.dll
- name: Download GGML CPU Windows lib
uses: actions/download-artifact@v4
with:
name: ggml_cpu_x64.dll
- name: Download SDL2.dll
uses: actions/download-artifact@v4
with:
name: x64_SDL2.dll
- name: List downloaded files
shell: pwsh
run: |
Get-ChildItem -Path "." -Recurse -Filter "*.dll"
- name: Move DLL to correct location
shell: pwsh
run: |
New-Item -Path "build\bin\Release" -ItemType Directory -Force
Copy-Item -Path "whisper.dll" -Destination "build\bin\Release\whisper.dll" -Force
Write-Host "Copied whisper.dll to build\bin\Release\whisper.dll directory"
Copy-Item -Path "ggml.dll" -Destination "build\bin\Release\ggml.dll" -Force
Write-Host "Copied ggml.dll to build\bin\Release\ggml.dll directory"
Copy-Item -Path "ggml-base.dll" -Destination "build\bin\Release\ggml-base.dll" -Force
Write-Host "Copied ggml-base.dll to build\bin\Release\ggml-base.dll directory"
Copy-Item -Path "ggml-cpu.dll" -Destination "build\bin\Release\ggml-cpu.dll" -Force
Write-Host "Copied ggml-cpu.dll to build\bin\Release\ggml-cpu.dll directory"
Copy-Item -Path "SDL2.dll" -Destination "build\bin\Release\SDL2.dll" -Force
Write-Host "Copied SDL2.dll to build\bin\Release\SDL2.dll directory"
- name: List build release files
shell: pwsh
run: |
Get-ChildItem -Path "build\Release" -Recurse -Filter "*.dll"
- name: Build
run: |
models\download-ggml-model.cmd tiny.en models/
cd bindings/java
chmod +x ./gradlew
./gradlew build --info
- name: Upload jar
uses: actions/upload-artifact@v4
with:
name: whispercpp.jar
path: bindings/java/build/libs/whispercpp-*.jar
# TODO: disabled because of following fail: https://github.com/ggerganov/whisper.cpp/actions/runs/9686220096/job/26735899598
# java:
# needs: [ 'windows' ]
# runs-on: windows-latest
# steps:
# - uses: actions/checkout@v4
#
# - name: Install Java
# uses: actions/setup-java@v4
# with:
# distribution: zulu
# java-version: 20
#
# - name: Download Windows lib
# uses: actions/download-artifact@v4
# with:
# name: win32-x86-64_whisper.dll
# path: bindings/java/build/generated/resources/main/win32-x86-64
#
# - name: Build
# run: |
# models\download-ggml-model.cmd tiny.en
# cd bindings/java
# chmod +x ./gradlew
# ./gradlew build
#
# - name: Upload jar
# uses: actions/upload-artifact@v4
# with:
# name: whispercpp.jar
# path: bindings/java/build/libs/whispercpp-*.jar
#
# - name: Publish package
# if: ${{ github.ref == 'refs/heads/master' }}
# uses: gradle/gradle-build-action@v2.4.2
@ -784,6 +1117,8 @@ jobs:
# PGP_PASSPHRASE: ${{ secrets.GPG_PASSPHRASE }}
quantize:
if: ${{ github.event_name == 'push' || github.event_name == 'pull_request' ||
github.event.inputs.run_type == 'full-ci' }}
runs-on: ubuntu-22.04
steps:
@ -796,3 +1131,95 @@ jobs:
cmake -B build
cmake --build build --config Release
./build/bin/quantize models/ggml-tiny.en.bin models/ggml-tiny.en-q4_0.bin q4_0
release:
if: ${{ github.event.inputs.create_release == 'true' || github.event.inputs.pre_release_tag != '' }}
runs-on: ubuntu-latest
needs:
- determine-tag
- ios-xcode-build
steps:
- name: Clone
id: checkout
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: ccache
uses: hendrikmuhs/ccache-action@v1.2.16
with:
key: release
evict-old-files: 1d
# Downloads all the artifacts from the previous jobs
- name: Download artifacts
id: download-artifact
uses: actions/download-artifact@v4
with:
path: ./artifact
- name: Move artifacts
id: move_artifacts
run: mkdir -p ./artifact/release && mv ./artifact/*/*.zip ./artifact/release
- name: Create release
id: create_release
uses: ggml-org/action-create-release@v1
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
with:
tag_name: ${{ needs.determine-tag.outputs.tag_name }}
prerelease: ${{ github.event.inputs.pre_release_tag != '' }}
- name: Upload release
id: upload_release
uses: actions/github-script@v3
with:
github-token: ${{secrets.GITHUB_TOKEN}}
script: |
const path = require('path');
const fs = require('fs');
const release_id = '${{ steps.create_release.outputs.id }}';
for (let file of await fs.readdirSync('./artifact/release')) {
if (path.extname(file) === '.zip') {
console.log('uploadReleaseAsset', file);
await github.repos.uploadReleaseAsset({
owner: context.repo.owner,
repo: context.repo.repo,
release_id: release_id,
name: file,
data: await fs.readFileSync(`./artifact/release/${file}`)
});
}
}
coreml-base-en:
if: ${{ (github.event_name == 'push' && github.ref == 'refs/heads/master') ||
github.event.inputs.create_release == 'true' ||
github.event.inputs.pre_release_tag != '' }}
runs-on: macos-latest
needs: determine-tag
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set environment variables
id: set_vars
run: |
echo "MODEL_NAME=base.en" >> $GITHUB_ENV
echo "GEN_MODEL_NAME=whisper-${{ needs.determine-tag.outputs.tag_name }}-ggml-base.en-encoder.mlmodelc" >> $GITHUB_ENV
- name: Download model
run: |
./models/download-ggml-model.sh ${{ env.MODEL_NAME }}
- name: Generate CoreML model
run: |
python3.11 -m venv venv
source venv/bin/activate
pip install ane_transformers openai-whisper coremltools
./models/generate-coreml-model.sh ${{ env.MODEL_NAME }}

View File

@ -18,6 +18,7 @@ jobs:
matrix:
config:
- { tag: "main", dockerfile: ".devops/main.Dockerfile", platform: "linux/amd64" }
- { tag: "main-musa", dockerfile: ".devops/main-musa.Dockerfile", platform: "linux/amd64" }
#TODO: the cuda image keeps failing - disable for now
# https://github.com/ggerganov/whisper.cpp/actions/runs/11019444428/job/30602020339
#- { tag: "main-cuda", dockerfile: ".devops/main-cuda.Dockerfile", platform: "linux/amd64" }
@ -28,6 +29,8 @@ jobs:
- name: Set up QEMU
uses: docker/setup-qemu-action@v3
with:
image: tonistiigi/binfmt:qemu-v7.0.0-28
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3

91
.github/workflows/examples-wasm.yml vendored Normal file
View File

@ -0,0 +1,91 @@
name: Examples WASM
on:
push:
branches: ["master"]
workflow_dispatch:
permissions:
contents: read
pages: write
id-token: write
concurrency:
group: "pages"
cancel-in-progress: false
jobs:
deploy-wasm-github-pages:
environment:
name: github-pages
url: ${{ steps.deployment.outputs.page_url }}
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Setup Pages
uses: actions/configure-pages@v4
- name: Setup emsdk
uses: mymindstorm/setup-emsdk@v14
- name: Build WASM Examples
# Enable for real build later in whisper.cpp
run: |
mkdir -p build-em && cd build-em
emcmake cmake .. -DCMAKE_BUILD_TYPE=Release
make -j
- name: Create staging directory
run: mkdir -p staging
- name: Create .nojekyll file in staging directory
run: touch staging/.nojekyll
- name: Copy application files
run: |
build_dir=build-em/bin
ls ${build_dir}
# command.wasm
target_dir=staging/command.wasm
mkdir -p ${target_dir}
cp ${build_dir}/command.wasm/{index.html,command.js,helpers.js} ${target_dir}
cp ${build_dir}/libcommand.js ${target_dir}
# bench.wasm
target_dir=staging/bench.wasm
mkdir -p ${target_dir}
cp ${build_dir}/bench.wasm/{index.html,bench.js,helpers.js} ${target_dir}
cp ${build_dir}/libbench.js ${target_dir}
# stream.wasm
target_dir=staging/stream.wasm
mkdir -p ${target_dir}
cp ${build_dir}/stream.wasm/{index.html,stream.js,helpers.js} ${target_dir}
cp ${build_dir}/libstream.js ${target_dir}
# whisper.wasm (this will be the main example page)
target_dir=staging
mkdir -p ${target_dir}
cp ${build_dir}/whisper.wasm/{index.html,main.js,helpers.js} ${target_dir}
cp ${build_dir}/libmain.js ${target_dir}
# Copy Cross-Origin Isolation service worker
cp -v examples/coi-serviceworker.js staging/
- name: List files in staging directory (for debugging)
run: |
echo "Files in staging directory:"
find staging -type f | sort
- name: Upload artifact
uses: actions/upload-pages-artifact@v3
with:
path: ./staging
- name: Deploy to GitHub Pages
id: deployment
uses: actions/deploy-pages@v4

2
.gitignore vendored
View File

@ -58,3 +58,5 @@ cmake-build-debug/
.cxx/
.gradle/
local.properties
.log
.exe

0
.gitmodules vendored
View File

View File

@ -1,6 +1,6 @@
cmake_minimum_required(VERSION 3.5) # for add_link_options and implicit target directories.
project("whisper.cpp" C CXX)
project("whisper.cpp" VERSION 1.7.4)
project("whisper.cpp" VERSION 1.7.5)
include(CheckIncludeFileCXX)
set(SOVERSION 1)
@ -38,8 +38,13 @@ if (EMSCRIPTEN)
# TODO: without these, we get the following error:
# wasm-ld: error: --shared-memory is disallowed by whisper.cpp.o because it was not compiled with 'atomics' or 'bulk-memory' features.
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -pthread -s TOTAL_STACK=5242880")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -pthread -s TOTAL_STACK=5242880")
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -pthread")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -pthread")
set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} -s TOTAL_STACK=5242880")
set(CMAKE_SHARED_LINKER_FLAGS "${CMAKE_SHARED_LINKER_FLAGS} -s TOTAL_STACK=5242880")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-deprecated")
else()
if (MINGW)
set(BUILD_SHARED_LIBS_DEFAULT OFF)
@ -62,7 +67,8 @@ option(WHISPER_ALL_WARNINGS "whisper: enable all compiler warnings"
option(WHISPER_ALL_WARNINGS_3RD_PARTY "whisper: enable all compiler warnings in 3rd party libs" OFF)
# build
option(WHISPER_FATAL_WARNINGS "whisper: enable -Werror flag" OFF)
option(WHISPER_FATAL_WARNINGS "whisper: enable -Werror flag" OFF)
option(WHISPER_USE_SYSTEM_GGML "whisper: use system-installed GGML library" OFF)
# sanitizers
option(WHISPER_SANITIZE_THREAD "whisper: enable thread sanitizer" OFF)
@ -121,7 +127,31 @@ whisper_option_depr(WARNING WHISPER_SYCL_F16 GGML_SYCL_F16)
#
if (NOT TARGET ggml)
add_subdirectory(ggml)
if (WHISPER_USE_SYSTEM_GGML)
find_package(ggml REQUIRED)
if (NOT ggml_FOUND)
message(FATAL_ERROR "System-installed GGML library not found.")
endif()
add_library(ggml ALIAS ggml::ggml)
else()
add_subdirectory(ggml)
if(WIN32)
# The following adds a _DISABLE_CONSTEXPR_MUTEX_CONSTRUCTOR macro and is a workaround for
# the Windows C++ standard library which does not support constexpr mutexes.
# From the release notes://github.com/microsoft/STL/wiki/Changelog
# Disable constexpr mutex constructor on Windows
# Fixed mutex's constructor to be constexpr. #3824 #4000 #4339
# Note: Programs that aren't following the documented restrictions on binary compatibility may encounter
# null dereferences in mutex machinery. You must follow this rule:
# When you mix binaries built by different supported versions of the toolset, the Redistributable version
# must be at least as new as the latest toolset used by any app component.
# You can define _DISABLE_CONSTEXPR_MUTEX_CONSTRUCTOR as an escape hatch.
#
# Specifically to whisper.cpp this would cause a crash when using the Java bindings.
# resulting in a Invalid memory access error.
target_compile_definitions(ggml-base PRIVATE _DISABLE_CONSTEXPR_MUTEX_CONSTRUCTOR)
endif()
endif()
# ... otherwise assume ggml is added by a parent CMakeLists.txt
endif()
add_subdirectory(src)
@ -176,10 +206,40 @@ install(FILES "${CMAKE_CURRENT_BINARY_DIR}/whisper.pc"
#
if (WHISPER_BUILD_TESTS AND NOT CMAKE_JS_VERSION)
#include(CTest)
#add_subdirectory(tests)
include(CTest)
add_subdirectory(tests)
endif ()
if (WHISPER_BUILD_EXAMPLES)
add_subdirectory(examples)
endif()
if (MSVC)
set(MSVC_WARNING_FLAGS
/wd4101 # Unreferenced local variable
/wd4005 # Macro redefinition
/wd4065 # switch statement contains 'default' but no 'case' labels
/wd4267 # Conversion from 'size_t' to a smaller type, possible loss of data
/wd4244 # Conversion from one type to another type, possible loss of ata
/wd4805 # Unsafe mix of type
/wd4305 # Truncation from 'type1' to 'type2' (often double to float)
/wd4996 # Function or variable may be unsafe/deprecated
)
function(disable_msvc_warnings target_name)
target_compile_options(${target_name} PRIVATE ${MSVC_WARNING_FLAGS})
endfunction()
if (WHISPER_BUILD_EXAMPLES)
disable_msvc_warnings(common)
disable_msvc_warnings(common-sdl)
disable_msvc_warnings(lsp)
disable_msvc_warnings(wchess-core)
disable_msvc_warnings(whisper-command)
disable_msvc_warnings(whisper-cli)
disable_msvc_warnings(whisper-server)
disable_msvc_warnings(whisper-stream)
disable_msvc_warnings(whisper-talk-llama)
disable_msvc_warnings(whisper-bench)
disable_msvc_warnings(quantize)
endif()
endif()

View File

@ -4,7 +4,7 @@
.PHONY: build
build:
cmake -B build
cmake -B build $(CMAKE_ARGS)
cmake --build build --config Release
# download a few audio samples into folder "./samples":
@ -18,17 +18,6 @@ samples:
@wget --quiet --show-progress -O samples/mm1.wav https://cdn.openai.com/whisper/draft-20220913a/micro-machines.wav
@wget --quiet --show-progress -O samples/a13.mp3 https://upload.wikimedia.org/wikipedia/commons/transcoded/6/6f/Apollo13-wehaveaproblem.ogg/Apollo13-wehaveaproblem.ogg.mp3
@wget --quiet --show-progress -O samples/diffusion2023-07-03.flac https://archive.org/download/diffusion2023-07-03/diffusion2023-07-03.flac
@echo "Converting to 16-bit WAV ..."
@ffmpeg -loglevel -0 -y -i samples/gb0.ogg -ar 16000 -ac 1 -c:a pcm_s16le samples/gb0.wav
@ffmpeg -loglevel -0 -y -i samples/gb1.ogg -ar 16000 -ac 1 -c:a pcm_s16le samples/gb1.wav
@ffmpeg -loglevel -0 -y -i samples/hp0.ogg -ar 16000 -ac 1 -c:a pcm_s16le samples/hp0.wav
@rm samples/*.ogg
@ffmpeg -loglevel -0 -y -i samples/mm1.wav -ar 16000 -ac 1 -c:a pcm_s16le samples/mm0.wav
@rm samples/mm1.wav
@ffmpeg -loglevel -0 -y -i samples/a13.mp3 -ar 16000 -ac 1 -c:a pcm_s16le -ss 00:00:00 -to 00:00:30 samples/a13.wav
@rm samples/a13.mp3
@ffmpeg -loglevel -0 -y -i samples/diffusion2023-07-03.flac -ar 16000 -ac 1 -c:a pcm_s16le samples/diffusion2023-07-03.wav
@rm samples/diffusion2023-07-03.flac
#
# Models
@ -52,17 +41,17 @@ samples:
tiny.en tiny base.en base small.en small medium.en medium large-v1 large-v2 large-v3 large-v3-turbo:
bash ./models/download-ggml-model.sh $@
cmake -B build
cmake -B build $(CMAKE_ARGS)
cmake --build build --config Release
@echo ""
@echo "==============================================="
@echo "Running $@ on all samples in ./samples ..."
@echo "==============================================="
@echo ""
@for f in samples/*.wav; do \
@for f in samples/*.{flac,mp3,ogg,wav}; do \
echo "----------------------------------------------" ; \
echo "[+] Running $@ on $$f ... (run 'ffplay $$f' to listen)" ; \
echo "----------------------------------------------" ; \
echo "----------------------------------------------" ; \
echo "" ; \
./build/bin/whisper-cli -m models/ggml-$@.bin -f $$f ; \
echo "" ; \

View File

@ -1,19 +0,0 @@
// swift-tools-version:5.5
import PackageDescription
let package = Package(
name: "whisper",
platforms: [
.macOS(.v12),
.iOS(.v14),
.watchOS(.v4),
.tvOS(.v14)
],
products: [
.library(name: "whisper", targets: ["whisper"]),
],
targets: [
.systemLibrary(name: "whisper", pkgConfig: "whisper"),
]
)

161
README.md
View File

@ -2,15 +2,12 @@
![whisper.cpp](https://user-images.githubusercontent.com/1991296/235238348-05d0f6a4-da44-4900-a1de-d0707e75b763.jpeg)
[![Actions Status](https://github.com/ggerganov/whisper.cpp/workflows/CI/badge.svg)](https://github.com/ggerganov/whisper.cpp/actions)
[![Actions Status](https://github.com/ggml-org/whisper.cpp/workflows/CI/badge.svg)](https://github.com/ggml-org/whisper.cpp/actions)
[![License: MIT](https://img.shields.io/badge/license-MIT-blue.svg)](https://opensource.org/licenses/MIT)
[![Conan Center](https://shields.io/conan/v/whisper-cpp)](https://conan.io/center/whisper-cpp)
[![npm](https://img.shields.io/npm/v/whisper.cpp.svg)](https://www.npmjs.com/package/whisper.cpp/)
> [!NOTE]
> New maintenance roadmap: https://github.com/ggerganov/whisper.cpp/discussions/2788
Stable: [v1.7.4](https://github.com/ggerganov/whisper.cpp/releases/tag/v1.7.4) / [Roadmap | F.A.Q.](https://github.com/ggerganov/whisper.cpp/discussions/126)
Stable: [v1.7.5](https://github.com/ggml-org/whisper.cpp/releases/tag/v1.7.5) / [Roadmap](https://github.com/orgs/ggml-org/projects/4/)
High-performance inference of [OpenAI's Whisper](https://github.com/openai/whisper) automatic speech recognition (ASR) model:
@ -26,7 +23,8 @@ High-performance inference of [OpenAI's Whisper](https://github.com/openai/whisp
- [Efficient GPU support for NVIDIA](#nvidia-gpu-support)
- [OpenVINO Support](#openvino-support)
- [Ascend NPU Support](#ascend-npu-support)
- [C-style API](https://github.com/ggerganov/whisper.cpp/blob/master/include/whisper.h)
- [Moore Threads GPU Support](#moore-threads-gpu-support)
- [C-style API](https://github.com/ggml-org/whisper.cpp/blob/master/include/whisper.h)
Supported platforms:
@ -34,14 +32,14 @@ Supported platforms:
- [x] [iOS](examples/whisper.objc)
- [x] [Android](examples/whisper.android)
- [x] [Java](bindings/java/README.md)
- [x] Linux / [FreeBSD](https://github.com/ggerganov/whisper.cpp/issues/56#issuecomment-1350920264)
- [x] Linux / [FreeBSD](https://github.com/ggml-org/whisper.cpp/issues/56#issuecomment-1350920264)
- [x] [WebAssembly](examples/whisper.wasm)
- [x] Windows ([MSVC](https://github.com/ggerganov/whisper.cpp/blob/master/.github/workflows/build.yml#L117-L144) and [MinGW](https://github.com/ggerganov/whisper.cpp/issues/168)]
- [x] [Raspberry Pi](https://github.com/ggerganov/whisper.cpp/discussions/166)
- [x] [Docker](https://github.com/ggerganov/whisper.cpp/pkgs/container/whisper.cpp)
- [x] Windows ([MSVC](https://github.com/ggml-org/whisper.cpp/blob/master/.github/workflows/build.yml#L117-L144) and [MinGW](https://github.com/ggml-org/whisper.cpp/issues/168)]
- [x] [Raspberry Pi](https://github.com/ggml-org/whisper.cpp/discussions/166)
- [x] [Docker](https://github.com/ggml-org/whisper.cpp/pkgs/container/whisper.cpp)
The entire high-level implementation of the model is contained in [whisper.h](include/whisper.h) and [whisper.cpp](src/whisper.cpp).
The rest of the code is part of the [`ggml`](https://github.com/ggerganov/ggml) machine learning library.
The rest of the code is part of the [`ggml`](https://github.com/ggml-org/ggml) machine learning library.
Having such a lightweight implementation of the model allows to easily integrate it in different platforms and applications.
As an example, here is a video of running the model on an iPhone 13 device - fully offline, on-device: [whisper.objc](examples/whisper.objc)
@ -54,14 +52,14 @@ https://user-images.githubusercontent.com/1991296/204038393-2f846eae-c255-4099-a
On Apple Silicon, the inference runs fully on the GPU via Metal:
https://github.com/ggerganov/whisper.cpp/assets/1991296/c82e8f86-60dc-49f2-b048-d2fdbd6b5225
https://github.com/ggml-org/whisper.cpp/assets/1991296/c82e8f86-60dc-49f2-b048-d2fdbd6b5225
## Quick start
First clone the repository:
```bash
git clone https://github.com/ggerganov/whisper.cpp.git
git clone https://github.com/ggml-org/whisper.cpp.git
```
Navigate into the directory:
@ -152,6 +150,7 @@ standard cmake setup with:
cmake -B build -DGGML_BLAS=1
cmake --build build --config Release
./build/bin/whisper-cli [ .. etc .. ]
```
## Quantization
@ -184,11 +183,11 @@ speed-up - more than x3 faster compared with CPU-only execution. Here are the in
```
- To ensure `coremltools` operates correctly, please confirm that [Xcode](https://developer.apple.com/xcode/) is installed and execute `xcode-select --install` to install the command-line tools.
- Python 3.10 is recommended.
- Python 3.11 is recommended.
- MacOS Sonoma (version 14) or newer is recommended, as older versions of MacOS might experience issues with transcription hallucination.
- [OPTIONAL] It is recommended to utilize a Python version management system, such as [Miniconda](https://docs.conda.io/en/latest/miniconda.html) for this step:
- To create an environment, use: `conda create -n py310-whisper python=3.10 -y`
- To activate the environment, use: `conda activate py310-whisper`
- To create an environment, use: `conda create -n py311-whisper python=3.11 -y`
- To activate the environment, use: `conda activate py311-whisper`
- Generate a Core ML model. For example, to generate a `base.en` model, use:
@ -225,7 +224,7 @@ speed-up - more than x3 faster compared with CPU-only execution. Here are the in
The first run on a device is slow, since the ANE service compiles the Core ML model to some device-specific format.
Next runs are faster.
For more information about the Core ML implementation please refer to PR [#566](https://github.com/ggerganov/whisper.cpp/pull/566).
For more information about the Core ML implementation please refer to PR [#566](https://github.com/ggml-org/whisper.cpp/pull/566).
## OpenVINO support
@ -310,7 +309,7 @@ This can result in significant speedup in encoder performance. Here are the inst
The first time run on an OpenVINO device is slow, since the OpenVINO framework will compile the IR (Intermediate Representation) model to a device-specific 'blob'. This device-specific blob will get
cached for the next run.
For more information about the OpenVINO implementation please refer to PR [#1037](https://github.com/ggerganov/whisper.cpp/pull/1037).
For more information about the OpenVINO implementation please refer to PR [#1037](https://github.com/ggml-org/whisper.cpp/pull/1037).
## NVIDIA GPU support
@ -324,6 +323,12 @@ cmake -B build -DGGML_CUDA=1
cmake --build build -j --config Release
```
or for newer NVIDIA GPU's (RTX 5000 series):
```
cmake -B build -DGGML_CUDA=1 -DCMAKE_CUDA_ARCHITECTURES="86"
cmake --build build -j --config Release
```
## Vulkan GPU support
Cross-vendor solution which allows you to accelerate workload on your GPU.
First, make sure your graphics card driver provides support for Vulkan API.
@ -377,6 +382,56 @@ Run the inference examples as usual, for example:
- If you have trouble with Ascend NPU device, please create a issue with **[CANN]** prefix/tag.
- If you run successfully with your Ascend NPU device, please help update the table `Verified devices`.
## Moore Threads GPU support
With Moore Threads cards the processing of the models is done efficiently on the GPU via muBLAS and custom MUSA kernels.
First, make sure you have installed `MUSA SDK rc3.1.1`: https://developer.mthreads.com/sdk/download/musa?equipment=&os=&driverVersion=&version=rc3.1.1
Now build `whisper.cpp` with MUSA support:
```
cmake -B build -DGGML_MUSA=1
cmake --build build -j --config Release
```
or specify the architecture for your Moore Threads GPU. For example, if you have a MTT S80 GPU, you can specify the architecture as follows:
```
cmake -B build -DGGML_MUSA=1 -DMUSA_ARCHITECTURES="21"
cmake --build build -j --config Release
```
## FFmpeg support (Linux only)
If you want to support more audio formats (such as Opus and AAC), you can turn on the `WHISPER_FFMPEG` build flag to enable FFmpeg integration.
First, you need to install required libraries:
```bash
# Debian/Ubuntu
sudo apt install libavcodec-dev libavformat-dev libavutil-dev
# RHEL/Fedora
sudo dnf install libavcodec-free-devel libavformat-free-devel libavutil-free-devel
```
Then you can build the project as follows:
```bash
cmake -B build -D WHISPER_FFMPEG=yes
cmake --build build
```
Run the following example to confirm it's working:
```bash
# Convert an audio file to Opus format
ffmpeg -i samples/jfk.wav jfk.opus
# Transcribe the audio file
./build/bin/whisper-cli --model models/ggml-base.en.bin --file jfk.opus
```
## Docker
### Prerequisites
@ -388,8 +443,9 @@ Run the inference examples as usual, for example:
We have two Docker images available for this project:
1. `ghcr.io/ggerganov/whisper.cpp:main`: This image includes the main executable file as well as `curl` and `ffmpeg`. (platforms: `linux/amd64`, `linux/arm64`)
2. `ghcr.io/ggerganov/whisper.cpp:main-cuda`: Same as `main` but compiled with CUDA support. (platforms: `linux/amd64`)
1. `ghcr.io/ggml-org/whisper.cpp:main`: This image includes the main executable file as well as `curl` and `ffmpeg`. (platforms: `linux/amd64`, `linux/arm64`)
2. `ghcr.io/ggml-org/whisper.cpp:main-cuda`: Same as `main` but compiled with CUDA support. (platforms: `linux/amd64`)
3. `ghcr.io/ggml-org/whisper.cpp:main-musa`: Same as `main` but compiled with MUSA support. (platforms: `linux/amd64`)
### Usage
@ -402,11 +458,11 @@ docker run -it --rm \
docker run -it --rm \
-v path/to/models:/models \
-v path/to/audios:/audios \
whisper.cpp:main "./main -m /models/ggml-base.bin -f /audios/jfk.wav"
whisper.cpp:main "whisper-cli -m /models/ggml-base.bin -f /audios/jfk.wav"
# transcribe an audio file in samples folder
docker run -it --rm \
-v path/to/models:/models \
whisper.cpp:main "./main -m /models/ggml-base.bin -f ./samples/jfk.wav"
whisper.cpp:main "whisper-cli -m /models/ggml-base.bin -f ./samples/jfk.wav"
```
## Installing with Conan
@ -427,7 +483,8 @@ For detailed instructions on how to use Conan, please refer to the [Conan docume
This is a naive example of performing real-time inference on audio from your microphone.
The [stream](examples/stream) tool samples the audio every half a second and runs the transcription continuously.
More info is available in [issue #10](https://github.com/ggerganov/whisper.cpp/issues/10).
More info is available in [issue #10](https://github.com/ggml-org/whisper.cpp/issues/10).
You will need to have [sdl2](https://wiki.libsdl.org/SDL2/Installation) installed for it to work properly.
```bash
cmake -B build -DWHISPER_SDL2=ON
@ -515,7 +572,7 @@ main: processing './samples/jfk.wav' (176000 samples, 11.0 sec), 4 threads, 1 pr
## Speaker segmentation via tinydiarize (experimental)
More information about this approach is available here: https://github.com/ggerganov/whisper.cpp/pull/1058
More information about this approach is available here: https://github.com/ggml-org/whisper.cpp/pull/1058
Sample usage:
@ -579,7 +636,7 @@ https://user-images.githubusercontent.com/1991296/199337538-b7b0c7a3-2753-4a88-a
## Video comparison of different models
Use the [scripts/bench-wts.sh](https://github.com/ggerganov/whisper.cpp/blob/master/scripts/bench-wts.sh) script to generate a video in the following format:
Use the [scripts/bench-wts.sh](https://github.com/ggml-org/whisper.cpp/blob/master/scripts/bench-wts.sh) script to generate a video in the following format:
```bash
./scripts/bench-wts.sh samples/jfk.wav
@ -596,7 +653,7 @@ In order to have an objective comparison of the performance of the inference acr
use the [whisper-bench](examples/bench) tool. The tool simply runs the Encoder part of the model and prints how much time it
took to execute it. The results are summarized in the following Github issue:
[Benchmark results](https://github.com/ggerganov/whisper.cpp/issues/89)
[Benchmark results](https://github.com/ggml-org/whisper.cpp/issues/89)
Additionally a script to run whisper.cpp with different models and audio files is provided [bench.py](scripts/bench.py).
@ -623,25 +680,24 @@ You can download the converted models using the [models/download-ggml-model.sh](
or manually from here:
- https://huggingface.co/ggerganov/whisper.cpp
- https://ggml.ggerganov.com
For more details, see the conversion script [models/convert-pt-to-ggml.py](models/convert-pt-to-ggml.py) or [models/README.md](models/README.md).
## [Bindings](https://github.com/ggerganov/whisper.cpp/discussions/categories/bindings)
## [Bindings](https://github.com/ggml-org/whisper.cpp/discussions/categories/bindings)
- [x] Rust: [tazz4843/whisper-rs](https://github.com/tazz4843/whisper-rs) | [#310](https://github.com/ggerganov/whisper.cpp/discussions/310)
- [x] JavaScript: [bindings/javascript](bindings/javascript) | [#309](https://github.com/ggerganov/whisper.cpp/discussions/309)
- [x] Rust: [tazz4843/whisper-rs](https://github.com/tazz4843/whisper-rs) | [#310](https://github.com/ggml-org/whisper.cpp/discussions/310)
- [x] JavaScript: [bindings/javascript](bindings/javascript) | [#309](https://github.com/ggml-org/whisper.cpp/discussions/309)
- React Native (iOS / Android): [whisper.rn](https://github.com/mybigday/whisper.rn)
- [x] Go: [bindings/go](bindings/go) | [#312](https://github.com/ggerganov/whisper.cpp/discussions/312)
- [x] Go: [bindings/go](bindings/go) | [#312](https://github.com/ggml-org/whisper.cpp/discussions/312)
- [x] Java:
- [GiviMAD/whisper-jni](https://github.com/GiviMAD/whisper-jni)
- [x] Ruby: [bindings/ruby](bindings/ruby) | [#507](https://github.com/ggerganov/whisper.cpp/discussions/507)
- [x] Objective-C / Swift: [ggerganov/whisper.spm](https://github.com/ggerganov/whisper.spm) | [#313](https://github.com/ggerganov/whisper.cpp/discussions/313)
- [x] Ruby: [bindings/ruby](bindings/ruby) | [#507](https://github.com/ggml-org/whisper.cpp/discussions/507)
- [x] Objective-C / Swift: [ggml-org/whisper.spm](https://github.com/ggml-org/whisper.spm) | [#313](https://github.com/ggml-org/whisper.cpp/discussions/313)
- [exPHAT/SwiftWhisper](https://github.com/exPHAT/SwiftWhisper)
- [x] .NET: | [#422](https://github.com/ggerganov/whisper.cpp/discussions/422)
- [x] .NET: | [#422](https://github.com/ggml-org/whisper.cpp/discussions/422)
- [sandrohanea/whisper.net](https://github.com/sandrohanea/whisper.net)
- [NickDarvey/whisper](https://github.com/NickDarvey/whisper)
- [x] Python: | [#9](https://github.com/ggerganov/whisper.cpp/issues/9)
- [x] Python: | [#9](https://github.com/ggml-org/whisper.cpp/issues/9)
- [stlukey/whispercpp.py](https://github.com/stlukey/whispercpp.py) (Cython)
- [AIWintermuteAI/whispercpp](https://github.com/AIWintermuteAI/whispercpp) (Updated fork of aarnphm/whispercpp)
- [aarnphm/whispercpp](https://github.com/aarnphm/whispercpp) (Pybind11)
@ -649,6 +705,33 @@ For more details, see the conversion script [models/convert-pt-to-ggml.py](model
- [x] R: [bnosac/audio.whisper](https://github.com/bnosac/audio.whisper)
- [x] Unity: [macoron/whisper.unity](https://github.com/Macoron/whisper.unity)
## XCFramework
The XCFramework is a precompiled version of the library for iOS, visionOS, tvOS,
and macOS. It can be used in Swift projects without the need to compile the
library from source. For examples:
```swift
// swift-tools-version: 5.10
// The swift-tools-version declares the minimum version of Swift required to build this package.
import PackageDescription
let package = Package(
name: "Whisper",
targets: [
.executableTarget(
name: "Whisper",
dependencies: [
"WhisperFramework"
]),
.binaryTarget(
name: "WhisperFramework",
url: "https://github.com/ggml-org/whisper.cpp/releases/download/v1.7.5/whisper-v1.7.5-xcframework.zip",
checksum: "c7faeb328620d6012e130f3d705c51a6ea6c995605f2df50f6e1ad68c59c6c4a"
)
]
)
```
## Examples
There are various examples of using the library for different projects in the [examples](examples) folder.
@ -667,13 +750,13 @@ Some of the examples are even ported to run in the browser using WebAssembly. Ch
| [whisper.android](examples/whisper.android) | | Android mobile application using whisper.cpp |
| [whisper.nvim](examples/whisper.nvim) | | Speech-to-text plugin for Neovim |
| [generate-karaoke.sh](examples/generate-karaoke.sh) | | Helper script to easily [generate a karaoke video](https://youtu.be/uj7hVta4blM) of raw audio capture |
| [livestream.sh](examples/livestream.sh) | | [Livestream audio transcription](https://github.com/ggerganov/whisper.cpp/issues/185) |
| [livestream.sh](examples/livestream.sh) | | [Livestream audio transcription](https://github.com/ggml-org/whisper.cpp/issues/185) |
| [yt-wsp.sh](examples/yt-wsp.sh) | | Download + transcribe and/or translate any VOD [(original)](https://gist.github.com/DaniruKun/96f763ec1a037cc92fe1a059b643b818) |
| [wchess](examples/wchess) | [wchess.wasm](examples/wchess) | Voice-controlled chess |
## [Discussions](https://github.com/ggerganov/whisper.cpp/discussions)
## [Discussions](https://github.com/ggml-org/whisper.cpp/discussions)
If you have any kind of feedback about this project feel free to use the Discussions section and open a new topic.
You can use the [Show and tell](https://github.com/ggerganov/whisper.cpp/discussions/categories/show-and-tell) category
You can use the [Show and tell](https://github.com/ggml-org/whisper.cpp/discussions/categories/show-and-tell) category
to share your own projects that use `whisper.cpp`. If you have a question, make sure to check the
[Frequently asked questions (#126)](https://github.com/ggerganov/whisper.cpp/discussions/126) discussion.
[Frequently asked questions (#126)](https://github.com/ggml-org/whisper.cpp/discussions/126) discussion.

View File

@ -1,5 +0,0 @@
module whisper [system] {
header "whisper.h"
link "whisper"
export *
}

View File

@ -1,4 +0,0 @@
#pragma once
#include <whisper.h>

View File

@ -11,11 +11,11 @@ UNAME_M := $(shell uname -m)
endif
GGML_METAL_PATH_RESOURCES := $(abspath ../..)
BUILD_DIR := build
BUILD_DIR := build_go
MODELS_DIR := models
EXAMPLES_DIR := $(wildcard examples/*)
INCLUDE_PATH := $(abspath ../../include):$(abspath ../../ggml/include)
LIBRARY_PATH := $(abspath ../..)
LIBRARY_PATH := $(abspath ../../${BUILD_DIR}/src:$(abspath ../../${BUILD_DIR}/ggml/src))
ifeq ($(GGML_CUDA),1)
LIBRARY_PATH := $(LIBRARY_PATH):$(CUDA_PATH)/targets/$(UNAME_M)-linux/lib/
@ -29,8 +29,10 @@ endif
all: clean whisper examples
whisper: mkdir
@echo Build whisper
@${MAKE} -C ../.. libwhisper.a
cmake -S ../.. -B ../../${BUILD_DIR} \
-DCMAKE_BUILD_TYPE=Release \
-DBUILD_SHARED_LIBS=OFF
cmake --build ../../${BUILD_DIR} --target whisper
test: model-small whisper modtidy
ifeq ($(UNAME_S),Darwin)

View File

@ -31,7 +31,7 @@ func main() {
if err != nil {
panic(err)
}
if err := context.Process(samples, nil, nil); err != nil {
if err := context.Process(samples, nil, nil, nil); err != nil {
return err
}
@ -51,7 +51,7 @@ func main() {
In order to build, you need to have the Go compiler installed. You can get it from [here](https://golang.org/dl/). Run the tests with:
```bash
git clone https://github.com/ggerganov/whisper.cpp.git
git clone https://github.com/ggml-org/whisper.cpp.git
cd whisper.cpp/bindings/go
make test
```
@ -98,7 +98,7 @@ The API Documentation:
Getting help:
* Follow the discussion for the go bindings [here](https://github.com/ggerganov/whisper.cpp/discussions/312)
* Follow the discussion for the go bindings [here](https://github.com/ggml-org/whisper.cpp/discussions/312)
## License

View File

@ -1,5 +1,5 @@
/*
github.com/ggerganov/whisper.cpp/bindings/go
github.com/ggml-org/whisper.cpp/bindings/go
provides a speech-to-text service bindings for the Go programming language.
*/
package whisper

View File

@ -9,22 +9,23 @@ import (
// ContextForSignal returns a context object which is cancelled when a signal
// is received. It returns nil if no signal parameter is provided
func ContextForSignal(signals ...os.Signal) context.Context {
if len(signals) == 0 {
return nil
}
if len(signals) == 0 {
return nil
}
ch := make(chan os.Signal)
ctx, cancel := context.WithCancel(context.Background())
ch := make(chan os.Signal, 1) // Buffered channel with space for 1 signal
ctx, cancel := context.WithCancel(context.Background())
// Send message on channel when signal received
signal.Notify(ch, signals...)
// Send message on channel when signal received
signal.Notify(ch, signals...)
// When any signal received, call cancel
go func() {
<-ch
cancel()
}()
// When any signal is received, call cancel
go func() {
<-ch
cancel()
}()
// Return success
return ctx
// Return success
return ctx
}

View File

@ -9,6 +9,7 @@ import (
"net/url"
"os"
"path/filepath"
"strings"
"syscall"
"time"
)
@ -17,14 +18,27 @@ import (
// CONSTANTS
const (
srcUrl = "https://huggingface.co/ggerganov/whisper.cpp/resolve/main" // The location of the models
srcExt = ".bin" // Filename extension
bufSize = 1024 * 64 // Size of the buffer used for downloading the model
srcUrl = "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/" // The location of the models
srcExt = ".bin" // Filename extension
bufSize = 1024 * 64 // Size of the buffer used for downloading the model
)
var (
// The models which will be downloaded, if no model is specified as an argument
modelNames = []string{"ggml-tiny.en", "ggml-tiny", "ggml-base.en", "ggml-base", "ggml-small.en", "ggml-small", "ggml-medium.en", "ggml-medium", "ggml-large-v1", "ggml-large-v2", "ggml-large-v3", "large-v3-turbo"}
modelNames = []string{
"tiny", "tiny-q5_1", "tiny-q8_0",
"tiny.en", "tiny.en-q5_1", "tiny.en-q8_0",
"base", "base-q5_1", "base-q8_0",
"base.en", "base.en-q5_1", "base.en-q8_0",
"small", "small-q5_1", "small-q8_0",
"small.en", "small.en-q5_1", "small.en-q8_0",
"medium", "medium-q5_0", "medium-q8_0",
"medium.en", "medium.en-q5_0", "medium.en-q8_0",
"large-v1",
"large-v2", "large-v2-q5_0", "large-v2-q8_0",
"large-v3", "large-v3-q5_0",
"large-v3-turbo", "large-v3-turbo-q5_0", "large-v3-turbo-q8_0",
}
)
var (
@ -44,7 +58,25 @@ var (
func main() {
flag.Usage = func() {
name := filepath.Base(flag.CommandLine.Name())
fmt.Fprintf(flag.CommandLine.Output(), "Usage: %s [options] <model>\n\n", name)
fmt.Fprintf(flag.CommandLine.Output(), `
Usage: %s [options] [<model>...]
Options:
-out string Specify the output folder where models will be saved.
Default: Current working directory.
-timeout duration Set the maximum duration for downloading a model.
Example: 10m, 1h (default: 30m0s).
-quiet Suppress all output except errors.
Examples:
1. Download a specific model:
%s -out ./models tiny-q8_0
2. Download all models:
%s -out ./models
`, name, name, name)
flag.PrintDefaults()
}
flag.Parse()
@ -114,23 +146,87 @@ func GetOut() (string, error) {
// GetModels returns the list of models to download
func GetModels() []string {
if flag.NArg() == 0 {
return modelNames
} else {
return flag.Args()
fmt.Println("No model specified.")
fmt.Println("Preparing to download all models...")
// Calculate total download size
fmt.Println("Calculating total download size...")
totalSize, err := CalculateTotalDownloadSize(modelNames)
if err != nil {
fmt.Println("Error calculating download sizes:", err)
os.Exit(1)
}
fmt.Println("View available models: https://huggingface.co/ggerganov/whisper.cpp/tree/main")
fmt.Printf("Total download size: %.2f GB\n", float64(totalSize)/(1024*1024*1024))
fmt.Println("Would you like to download all models? (y/N)")
// Prompt for user input
var response string
fmt.Scanln(&response)
if response != "y" && response != "Y" {
fmt.Println("Aborting. Specify a model to download.")
os.Exit(0)
}
return modelNames // Return all models if confirmed
}
return flag.Args() // Return specific models if arguments are provided
}
func CalculateTotalDownloadSize(models []string) (int64, error) {
var totalSize int64
client := http.Client{}
for _, model := range models {
modelURL, err := URLForModel(model)
if err != nil {
return 0, err
}
// Issue a HEAD request to get the file size
req, err := http.NewRequest("HEAD", modelURL, nil)
if err != nil {
return 0, err
}
resp, err := client.Do(req)
if err != nil {
return 0, err
}
resp.Body.Close()
if resp.StatusCode != http.StatusOK {
fmt.Printf("Warning: Unable to fetch size for %s (HTTP %d)\n", model, resp.StatusCode)
continue
}
size := resp.ContentLength
totalSize += size
}
return totalSize, nil
}
// URLForModel returns the URL for the given model on huggingface.co
func URLForModel(model string) (string, error) {
// Ensure "ggml-" prefix is added only once
if !strings.HasPrefix(model, "ggml-") {
model = "ggml-" + model
}
// Ensure ".bin" extension is added only once
if filepath.Ext(model) != srcExt {
model += srcExt
}
// Parse the base URL
url, err := url.Parse(srcUrl)
if err != nil {
return "", err
} else {
url.Path = filepath.Join(url.Path, model)
}
// Ensure no trailing slash in the base URL
url.Path = fmt.Sprintf("%s/%s", strings.TrimSuffix(url.Path, "/"), model)
return url.String(), nil
}

View File

@ -67,7 +67,7 @@ func Process(model whisper.Model, path string, flags *Flags) error {
// Process the data
fmt.Fprintf(flags.Output(), " ...processing %q\n", path)
context.ResetTimings()
if err := context.Process(data, cb, nil); err != nil {
if err := context.Process(data, nil, cb, nil); err != nil {
return err
}

View File

@ -71,6 +71,10 @@ func (context *context) Language() string {
return whisper.Whisper_lang_str(context.params.Language())
}
func (context *context) DetectedLanguage() string {
return whisper.Whisper_lang_str(context.model.ctx.Whisper_full_lang_id())
}
// Set translate flag
func (context *context) SetTranslate(v bool) {
context.params.SetTranslate(v)
@ -189,6 +193,7 @@ func (context *context) WhisperLangAutoDetect(offset_ms int, n_threads int) ([]f
// Process new sample data and return any errors
func (context *context) Process(
data []float32,
callEncoderBegin EncoderBeginCallback,
callNewSegment SegmentCallback,
callProgress ProgressCallback,
) error {
@ -203,7 +208,20 @@ func (context *context) Process(
// We don't do parallel processing at the moment
processors := 0
if processors > 1 {
if err := context.model.ctx.Whisper_full_parallel(context.params, data, processors, nil, func(new int) {
if err := context.model.ctx.Whisper_full_parallel(context.params, data, processors, callEncoderBegin,
func(new int) {
if callNewSegment != nil {
num_segments := context.model.ctx.Whisper_full_n_segments()
s0 := num_segments - new
for i := s0; i < num_segments; i++ {
callNewSegment(toSegment(context.model.ctx, i))
}
}
}); err != nil {
return err
}
} else if err := context.model.ctx.Whisper_full(context.params, data, callEncoderBegin,
func(new int) {
if callNewSegment != nil {
num_segments := context.model.ctx.Whisper_full_n_segments()
s0 := num_segments - new
@ -211,22 +229,11 @@ func (context *context) Process(
callNewSegment(toSegment(context.model.ctx, i))
}
}
}); err != nil {
return err
}
} else if err := context.model.ctx.Whisper_full(context.params, data, nil, func(new int) {
if callNewSegment != nil {
num_segments := context.model.ctx.Whisper_full_n_segments()
s0 := num_segments - new
for i := s0; i < num_segments; i++ {
callNewSegment(toSegment(context.model.ctx, i))
}, func(progress int) {
if callProgress != nil {
callProgress(progress)
}
}
}, func(progress int) {
if callProgress != nil {
callProgress(progress)
}
}); err != nil {
}); err != nil {
return err
}

View File

@ -88,6 +88,37 @@ func TestProcess(t *testing.T) {
context, err := model.NewContext()
assert.NoError(err)
err = context.Process(data, nil, nil)
err = context.Process(data, nil, nil, nil)
assert.NoError(err)
}
func TestDetectedLanguage(t *testing.T) {
assert := assert.New(t)
fh, err := os.Open(SamplePath)
assert.NoError(err)
defer fh.Close()
// Decode the WAV file - load the full buffer
dec := wav.NewDecoder(fh)
buf, err := dec.FullPCMBuffer()
assert.NoError(err)
assert.Equal(uint16(1), dec.NumChans)
data := buf.AsFloat32Buffer().Data
model, err := whisper.New(ModelPath)
assert.NoError(err)
assert.NotNil(model)
defer model.Close()
context, err := model.NewContext()
assert.NoError(err)
err = context.Process(data, nil, nil, nil)
assert.NoError(err)
expectedLanguage := "en"
actualLanguage := context.DetectedLanguage()
assert.Equal(expectedLanguage, actualLanguage)
}

View File

@ -16,6 +16,10 @@ type SegmentCallback func(Segment)
// processing. It is called during the Process function
type ProgressCallback func(int)
// EncoderBeginCallback is the callback function for checking if we want to
// continue processing. It is called during the Process function
type EncoderBeginCallback func() bool
// Model is the interface to a whisper model. Create a new model with the
// function whisper.New(string)
type Model interface {
@ -31,12 +35,13 @@ type Model interface {
Languages() []string
}
// Context is the speach recognition context.
// Context is the speech recognition context.
type Context interface {
SetLanguage(string) error // Set the language to use for speech recognition, use "auto" for auto detect language.
SetTranslate(bool) // Set translate flag
IsMultilingual() bool // Return true if the model is multilingual.
Language() string // Get language
DetectedLanguage() string // Get detected language
SetOffset(time.Duration) // Set offset
SetDuration(time.Duration) // Set duration
@ -58,7 +63,7 @@ type Context interface {
// Process mono audio data and return any errors.
// If defined, newly generated segments are passed to the
// callback function during processing.
Process([]float32, SegmentCallback, ProgressCallback) error
Process([]float32, EncoderBeginCallback, SegmentCallback, ProgressCallback) error
// After process is called, return segments until the end of the stream
// is reached, when io.EOF is returned.

View File

@ -9,7 +9,7 @@ import (
// CGO
/*
#cgo LDFLAGS: -lwhisper -lm -lstdc++ -fopenmp
#cgo LDFLAGS: -lwhisper -lggml -lggml-base -lggml-cpu -lm -lstdc++ -fopenmp
#cgo darwin LDFLAGS: -framework Accelerate -framework Metal -framework Foundation -framework CoreGraphics
#include <whisper.h>
#include <stdlib.h>

View File

@ -31,10 +31,10 @@ public class Example {
var whisperParams = whisper.getFullDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_GREEDY);
// custom configuration if required
whisperParams.temperature_inc = 0f;
var samples = readAudio(); // divide each value by 32767.0f
whisper.fullTranscribe(whisperParams, samples);
int segmentCount = whisper.getTextSegmentCount(context);
for (int i = 0; i < segmentCount; i++) {
String text = whisper.getTextSegment(context, i);
@ -52,7 +52,7 @@ public class Example {
In order to build, you need to have the JDK 8 or higher installed. Run the tests with:
```bash
git clone https://github.com/ggerganov/whisper.cpp.git
git clone https://github.com/ggml-org/whisper.cpp.git
cd whisper.cpp/bindings/java
./gradlew build

View File

@ -25,25 +25,43 @@ sourceSets {
}
tasks.register('copyLibwhisperDynlib', Copy) {
from '../../build'
include 'libwhisper.dynlib'
into 'build/generated/resources/main/darwin'
from '../../build/src'
include 'libwhisper.dylib'
into 'build/generated/resources/main'
}
tasks.register('copyLibwhisperSo', Copy) {
from '../../build'
from '../../build/src'
include 'libwhisper.so'
into 'build/generated/resources/main/linux-x86-64'
into 'build/generated/resources/main'
}
tasks.register('copyWhisperDll', Copy) {
from '../../build/Release'
tasks.register('copyWhisperDLL', Copy) {
from '../../build/bin/Release'
include 'whisper.dll'
into 'build/generated/resources/main/windows-x86-64'
into 'build/generated/resources/main'
}
tasks.register('copyGGML_BASE_DLL', Copy) {
from '../../build/bin/Release'
include 'ggml-base.dll'
into 'build/generated/resources/main'
}
tasks.register('copyGGML_DLL', Copy) {
from '../../build/bin/Release'
include 'ggml.dll'
into 'build/generated/resources/main'
}
tasks.register('copyGGML_CPU_DLL', Copy) {
from '../../build/bin/Release'
include 'ggml-cpu.dll'
into 'build/generated/resources/main'
}
tasks.register('copyLibs') {
dependsOn copyLibwhisperDynlib, copyLibwhisperSo, copyWhisperDll
dependsOn copyLibwhisperDynlib, copyLibwhisperSo, copyWhisperDLL, copyGGML_BASE_DLL, copyGGML_DLL, copyGGML_CPU_DLL
}
test {
@ -55,7 +73,12 @@ java {
withJavadocJar()
}
sourcesJar() {
dependsOn copyLibs
}
jar {
dependsOn copyLibs
exclude '**/whisper_java.exp', '**/whisper_java.lib'
}
@ -67,6 +90,9 @@ tasks.withType(Test) {
useJUnitPlatform()
}
test.dependsOn copyLibs
processResources.dependsOn copyLibs
dependencies {
implementation "net.java.dev.jna:jna:5.13.0"
testImplementation "org.junit.jupiter:junit-jupiter:5.9.2"

0
bindings/java/gradlew vendored Normal file → Executable file
View File

View File

@ -0,0 +1,24 @@
package io.github.ggerganov.whispercpp;
/**
* Presets for alignment heads in DTW token timestamps
*/
public class WhisperConstants {
// Alignment heads presets
public static final int WHISPER_AHEADS_NONE = 0;
public static final int WHISPER_AHEADS_TINY_EN = 1;
public static final int WHISPER_AHEADS_TINY = 2;
public static final int WHISPER_AHEADS_BASE_EN = 3;
public static final int WHISPER_AHEADS_BASE = 4;
public static final int WHISPER_AHEADS_SMALL_EN = 5;
public static final int WHISPER_AHEADS_SMALL = 6;
public static final int WHISPER_AHEADS_MEDIUM_EN = 7;
public static final int WHISPER_AHEADS_MEDIUM = 8;
public static final int WHISPER_AHEADS_LARGE_V1 = 9;
public static final int WHISPER_AHEADS_LARGE_V2 = 10;
public static final int WHISPER_AHEADS_LARGE_V3 = 11;
public static final int WHISPER_AHEADS_LARGE_V3_TURBO = 12;
public static final int WHISPER_AHEADS_CUSTOM = 13;
public static final int WHISPER_AHEADS_N_TOP_MOST = 14;
public static final int WHISPER_AHEADS_COUNT = 15;
}

View File

@ -1,7 +1,9 @@
package io.github.ggerganov.whispercpp;
import com.sun.jna.NativeLong;
import com.sun.jna.Structure;
import com.sun.jna.ptr.PointerByReference;
import com.sun.jna.Pointer;
import io.github.ggerganov.whispercpp.ggml.GgmlType;
import io.github.ggerganov.whispercpp.WhisperModel;
import io.github.ggerganov.whispercpp.params.WhisperContextParams;
@ -9,33 +11,26 @@ import io.github.ggerganov.whispercpp.params.WhisperContextParams;
import java.util.List;
public class WhisperContext extends Structure {
int t_load_us = 0;
int t_start_us = 0;
public NativeLong t_load_us;
public NativeLong t_start_us;
/** weight type (FP32 / FP16 / QX) */
GgmlType wtype = GgmlType.GGML_TYPE_F16;
public GgmlType wtype = GgmlType.GGML_TYPE_F16;
/** intermediate type (FP32 or FP16) */
GgmlType itype = GgmlType.GGML_TYPE_F16;
public GgmlType itype = GgmlType.GGML_TYPE_F16;
// WhisperModel model;
public PointerByReference model;
// whisper_vocab vocab;
// whisper_state * state = nullptr;
public PointerByReference vocab;
public PointerByReference state;
public WhisperContextParams.ByValue params;
public Pointer model;
public Pointer vocab;
public Pointer state;
/** populated by whisper_init_from_file_with_params() */
String path_model;
WhisperContextParams params;
public Pointer path_model;
// public static class ByReference extends WhisperContext implements Structure.ByReference {
// }
//
// public static class ByValue extends WhisperContext implements Structure.ByValue {
// }
//
// @Override
// protected List<String> getFieldOrder() {
// return List.of("t_load_us", "t_start_us", "wtype", "itype", "model", "vocab", "state", "path_model");
// }
@Override
protected List<String> getFieldOrder() {
return List.of("t_load_us", "t_start_us", "wtype", "itype",
"params", "model", "vocab", "state", "path_model");
}
}

View File

@ -43,11 +43,11 @@ public class WhisperCpp implements AutoCloseable {
* @param modelPath - absolute path, or just the name (eg: "base", "base-en" or "base.en")
* @param params - params to use when initialising the context
*/
public void initContext(String modelPath, WhisperContextParams params) throws FileNotFoundException {
public void initContext(String modelPath, WhisperContextParams.ByValue params) throws FileNotFoundException {
initContextImpl(modelPath, params);
}
private void initContextImpl(String modelPath, WhisperContextParams params) throws FileNotFoundException {
private void initContextImpl(String modelPath, WhisperContextParams.ByValue params) throws FileNotFoundException {
if (ctx != null) {
lib.whisper_free(ctx);
}
@ -69,15 +69,13 @@ public class WhisperCpp implements AutoCloseable {
/**
* Provides default params which can be used with `whisper_init_from_file_with_params()` etc.
* Because this function allocates memory for the params, the caller must call either:
* - call `whisper_free_context_params()`
* - `Native.free(Pointer.nativeValue(pointer));`
* Returns a ByValue instance to ensure proper parameter passing to native code.
*/
public WhisperContextParams getContextDefaultParams() {
paramsPointer = lib.whisper_context_default_params_by_ref();
WhisperContextParams params = new WhisperContextParams(paramsPointer);
params.read();
return params;
public WhisperContextParams.ByValue getContextDefaultParams() {
WhisperContextParams.ByValue valueParams = new WhisperContextParams.ByValue(
lib.whisper_context_default_params_by_ref());
valueParams.read();
return valueParams;
}
/**
@ -88,7 +86,7 @@ public class WhisperCpp implements AutoCloseable {
*
* @param strategy - GREEDY
*/
public WhisperFullParams getFullDefaultParams(WhisperSamplingStrategy strategy) {
public WhisperFullParams.ByValue getFullDefaultParams(WhisperSamplingStrategy strategy) {
Pointer pointer;
// whisper_full_default_params_by_ref allocates memory which we need to delete, so only create max 1 pointer for each strategy.
@ -104,7 +102,7 @@ public class WhisperCpp implements AutoCloseable {
pointer = beamParamsPointer;
}
WhisperFullParams params = new WhisperFullParams(pointer);
WhisperFullParams.ByValue params = new WhisperFullParams.ByValue(pointer);
params.read();
return params;
}
@ -138,15 +136,21 @@ public class WhisperCpp implements AutoCloseable {
}
/**
* Run the entire model: PCM -> log mel spectrogram -> encoder -> decoder -> text.
* Run the entire model: PCM -&gt; log mel spectrogram -&gt; encoder -&gt; decoder -&gt; text.
* Not thread safe for same context
* Uses the specified decoding strategy to obtain the text.
*/
public String fullTranscribe(WhisperFullParams whisperParams, float[] audioData) throws IOException {
public String fullTranscribe(WhisperFullParams.ByValue whisperParams, float[] audioData) throws IOException {
if (ctx == null) {
throw new IllegalStateException("Model not initialised");
}
/*
WhisperFullParams.ByValue valueParams = new WhisperFullParams.ByValue(
lib.whisper_full_default_params_by_ref(WhisperSamplingStrategy.WHISPER_SAMPLING_BEAM_SEARCH.ordinal()));
valueParams.read();
*/
if (lib.whisper_full(ctx, whisperParams, audioData, audioData.length) != 0) {
throw new IOException("Failed to process audio");
}
@ -163,12 +167,17 @@ public class WhisperCpp implements AutoCloseable {
return str.toString().trim();
}
public List<WhisperSegment> fullTranscribeWithTime(WhisperFullParams whisperParams, float[] audioData) throws IOException {
if (ctx == null) {
throw new IllegalStateException("Model not initialised");
}
if (lib.whisper_full(ctx, whisperParams, audioData, audioData.length) != 0) {
WhisperFullParams.ByValue valueParams = new WhisperFullParams.ByValue(
lib.whisper_full_default_params_by_ref(WhisperSamplingStrategy.WHISPER_SAMPLING_BEAM_SEARCH.ordinal()));
valueParams.read();
if (lib.whisper_full(ctx, valueParams, audioData, audioData.length) != 0) {
throw new IOException("Failed to process audio");
}

View File

@ -9,6 +9,7 @@ import io.github.ggerganov.whispercpp.params.WhisperContextParams;
import io.github.ggerganov.whispercpp.params.WhisperFullParams;
public interface WhisperCppJnaLibrary extends Library {
WhisperCppJnaLibrary instance = Native.load("whisper", WhisperCppJnaLibrary.class);
String whisper_print_system_info();
@ -38,7 +39,7 @@ public interface WhisperCppJnaLibrary extends Library {
* @param params Pointer to whisper_context_params
* @return Whisper context on success, null on failure
*/
Pointer whisper_init_from_file_with_params(String path_model, WhisperContextParams params);
Pointer whisper_init_from_file_with_params(String path_model, WhisperContextParams.ByValue params);
/**
* Allocate (almost) all memory needed for the model by loading from a buffer.
@ -180,12 +181,12 @@ public interface WhisperCppJnaLibrary extends Library {
/**
* @return the id of the specified language, returns -1 if not found.
* Examples:
* "de" -> 2
* "german" -> 2
* "de" -&gt; 2
* "german" -&gt; 2
*/
int whisper_lang_id(String lang);
/** @return the short string of the specified language id (e.g. 2 -> "de"), returns nullptr if not found */
/** @return the short string of the specified language id (e.g. 2 -&gt; "de"), returns nullptr if not found */
String whisper_lang_str(int id);
/**
@ -268,20 +269,21 @@ public interface WhisperCppJnaLibrary extends Library {
void whisper_free_params(Pointer params);
/**
* Run the entire model: PCM -> log mel spectrogram -> encoder -> decoder -> text
* Run the entire model: PCM -&gt; log mel spectrogram -&gt; encoder -&gt; decoder -&gt; text
* Not thread safe for same context
* Uses the specified decoding strategy to obtain the text.
*/
int whisper_full(Pointer ctx, WhisperFullParams params, final float[] samples, int n_samples);
int whisper_full(Pointer ctx, WhisperFullParams.ByValue params, final float[] samples, int n_samples);
int whisper_full_with_state(Pointer ctx, Pointer state, WhisperFullParams params, final float[] samples, int n_samples);
public int whisper_full_with_state(Pointer ctx, Pointer state, WhisperFullParams.ByValue params, float[] samples, int n_samples);
//int whisper_full_with_state(Pointer ctx, Pointer state, WhisperFullParams params, final float[] samples, int n_samples);
// Split the input audio in chunks and process each chunk separately using whisper_full_with_state()
// Result is stored in the default state of the context
// Not thread safe if executed in parallel on the same context.
// It seems this approach can offer some speedup in some cases.
// However, the transcription accuracy can be worse at the beginning and end of each chunk.
int whisper_full_parallel(Pointer ctx, WhisperFullParams params, final float[] samples, int n_samples, int n_processors);
int whisper_full_parallel(Pointer ctx, WhisperFullParams.ByValue params, final float[] samples, int n_samples, int n_processors);
/**
* Number of generated text segments.

View File

@ -0,0 +1,17 @@
package io.github.ggerganov.whispercpp.callbacks;
import com.sun.jna.Callback;
/**
* Callback for aborting GGML computation
* Maps to the C typedef: bool (*ggml_abort_callback)(void * data)
*/
public interface GgmlAbortCallback extends Callback {
/**
* Return true to abort the computation, false to continue
*
* @param data User data passed to the callback
* @return true to abort, false to continue
*/
boolean invoke(com.sun.jna.Pointer data);
}

View File

@ -0,0 +1,30 @@
package io.github.ggerganov.whispercpp.params;
import com.sun.jna.*;
import java.util.Arrays;
import java.util.List;
public class WhisperAhead extends Structure {
public int n_text_layer;
public int n_head;
public WhisperAhead() {
super();
}
public WhisperAhead(int textLayer, int head) {
super();
this.n_text_layer = textLayer;
this.n_head = head;
}
@Override
protected List<String> getFieldOrder() {
return Arrays.asList("n_text_layer", "n_head");
}
public static class ByReference extends WhisperAhead implements Structure.ByReference {}
public static class ByValue extends WhisperAhead implements Structure.ByValue {}
}

View File

@ -0,0 +1,41 @@
package io.github.ggerganov.whispercpp.params;
import com.sun.jna.*;
import java.util.Arrays;
import java.util.List;
public class WhisperAheads extends Structure {
public NativeLong n_heads;
public Pointer heads;
public WhisperAheads() {
super();
}
/**
* Create alignment heads from an array of WhisperAhead objects
*/
public void setHeads(WhisperAhead[] aheadsArray) {
this.n_heads = new NativeLong(aheadsArray.length);
int structSize = aheadsArray[0].size();
Memory mem = new Memory(structSize * aheadsArray.length);
for (int i = 0; i < aheadsArray.length; i++) {
aheadsArray[i].write();
byte[] buffer = aheadsArray[i].getPointer().getByteArray(0, structSize);
mem.write(i * structSize, buffer, 0, buffer.length);
}
this.heads = mem;
}
@Override
protected List<String> getFieldOrder() {
return Arrays.asList("n_heads", "heads");
}
public static class ByReference extends WhisperAheads implements Structure.ByReference {}
public static class ByValue extends WhisperAheads implements Structure.ByValue {}
}

View File

@ -1,7 +1,5 @@
package io.github.ggerganov.whispercpp.params;
import com.sun.jna.*;
import java.util.Arrays;
import java.util.List;
@ -11,21 +9,73 @@ import java.util.List;
* whisper_context_default_params()
*/
public class WhisperContextParams extends Structure {
public WhisperContextParams(Pointer p) {
super(p);
}
/** Use GPU for inference Number (default = true) */
public WhisperContextParams() {
super();
}
/** Use GPU for inference (default = true) */
public CBool use_gpu;
/** Use GPU for inference Number (default = true) */
/** Use flash attention (default = false) */
public CBool flash_attn;
/** CUDA device to use (default = 0) */
public int gpu_device;
/** [EXPERIMENTAL] Enable token-level timestamps with DTW (default = false) */
public CBool dtw_token_timestamps;
/** [EXPERIMENTAL] Alignment heads preset for DTW */
public int dtw_aheads_preset;
/** Number of top layers to use for DTW when using WHISPER_AHEADS_N_TOP_MOST preset */
public int dtw_n_top;
public WhisperAheads.ByValue dtw_aheads;
/** DTW memory size (internal use) */
public NativeLong dtw_mem_size;
/** Use GPU for inference */
public void useGpu(boolean enable) {
use_gpu = enable ? CBool.TRUE : CBool.FALSE;
}
/** Use flash attention */
public void useFlashAttn(boolean enable) {
flash_attn = enable ? CBool.TRUE : CBool.FALSE;
}
/** Enable DTW token-level timestamps */
public void enableDtwTokenTimestamps(boolean enable) {
dtw_token_timestamps = enable ? CBool.TRUE : CBool.FALSE;
}
/** Set DTW alignment heads preset */
public void setDtwAheadsPreset(int preset) {
dtw_aheads_preset = preset;
}
@Override
protected List<String> getFieldOrder() {
return Arrays.asList("use_gpu");
return Arrays.asList(
"use_gpu",
"flash_attn",
"gpu_device",
"dtw_token_timestamps",
"dtw_aheads_preset",
"dtw_n_top",
"dtw_aheads",
"dtw_mem_size"
);
}
public static class ByValue extends WhisperContextParams implements Structure.ByValue {
public ByValue() { super(); }
public ByValue(Pointer p) { super(p); }
}
}

View File

@ -5,6 +5,7 @@ import io.github.ggerganov.whispercpp.callbacks.WhisperEncoderBeginCallback;
import io.github.ggerganov.whispercpp.callbacks.WhisperLogitsFilterCallback;
import io.github.ggerganov.whispercpp.callbacks.WhisperNewSegmentCallback;
import io.github.ggerganov.whispercpp.callbacks.WhisperProgressCallback;
import io.github.ggerganov.whispercpp.callbacks.GgmlAbortCallback;
import java.util.Arrays;
import java.util.List;
@ -16,10 +17,12 @@ import java.util.List;
*/
public class WhisperFullParams extends Structure {
public WhisperFullParams() {
super();
}
public WhisperFullParams(Pointer p) {
super(p);
// super(p, ALIGN_MSVC);
// super(p, ALIGN_GNUC);
}
/** Sampling strategy for whisper_full() function. */
@ -69,10 +72,10 @@ public class WhisperFullParams extends Structure {
single_segment = single ? CBool.TRUE : CBool.FALSE;
}
/** Flag to print special tokens (e.g., &lt;SOT>, &lt;EOT>, &lt;BEG>, etc.). (default = false) */
/** Flag to print special tokens (e.g., &lt;SOT&gt;, &lt;EOT&gt;, &lt;BEG&gt;, etc.). (default = false) */
public CBool print_special;
/** Flag to print special tokens (e.g., &lt;SOT>, &lt;EOT>, &lt;BEG>, etc.). (default = false) */
/** Flag to print special tokens (e.g., &lt;SOT&gt;, &lt;EOT&gt;, &lt;BEG&gt;, etc.). (default = false) */
public void printSpecial(boolean enable) {
print_special = enable ? CBool.TRUE : CBool.FALSE;
}
@ -129,6 +132,14 @@ public class WhisperFullParams extends Structure {
/** Maximum tokens per segment (0, default = no limit) */
public int max_tokens;
/** [EXPERIMENTAL] Enable debug mode for extra info */
public CBool debug_mode;
/** Enable debug mode */
public void enableDebugMode(boolean enable) {
debug_mode = enable ? CBool.TRUE : CBool.FALSE;
}
/** Overwrite the audio context size (0 = use default). */
public int audio_ctx;
@ -274,6 +285,16 @@ public class WhisperFullParams extends Structure {
*/
public Pointer encoder_begin_callback_user_data;
/** Callback used to abort GGML computation */
public Pointer abort_callback;
/** User data for the abort_callback */
public Pointer abort_callback_user_data;
public void setAbortCallback(GgmlAbortCallback callback) {
abort_callback = CallbackReference.getFunctionPointer(callback);
}
/**
* Callback by each decoder to filter obtained logits.
* WhisperLogitsFilterCallback
@ -310,17 +331,28 @@ public class WhisperFullParams extends Structure {
@Override
protected List<String> getFieldOrder() {
return Arrays.asList("strategy", "n_threads", "n_max_text_ctx", "offset_ms", "duration_ms", "translate",
"no_context", "single_segment", "no_timestamps",
"print_special", "print_progress", "print_realtime", "print_timestamps", "token_timestamps",
"thold_pt", "thold_ptsum", "max_len", "split_on_word", "max_tokens", "audio_ctx",
"tdrz_enable", "suppress_regex", "initial_prompt", "prompt_tokens", "prompt_n_tokens", "language", "detect_language",
"suppress_blank", "suppress_nst", "temperature", "max_initial_ts", "length_penalty",
"temperature_inc", "entropy_thold", "logprob_thold", "no_speech_thold", "greedy", "beam_search",
"new_segment_callback", "new_segment_callback_user_data",
return Arrays.asList("strategy", "n_threads", "n_max_text_ctx",
"offset_ms", "duration_ms", "translate", "no_context",
"no_timestamps", "single_segment", "print_special",
"print_progress", "print_realtime", "print_timestamps",
"token_timestamps", "thold_pt", "thold_ptsum", "max_len",
"split_on_word", "max_tokens", "debug_mode", "audio_ctx",
"tdrz_enable", "suppress_regex", "initial_prompt",
"prompt_tokens", "prompt_n_tokens", "language", "detect_language",
"suppress_blank", "suppress_nst", "temperature",
"max_initial_ts", "length_penalty", "temperature_inc",
"entropy_thold", "logprob_thold", "no_speech_thold", "greedy",
"beam_search", "new_segment_callback", "new_segment_callback_user_data",
"progress_callback", "progress_callback_user_data",
"encoder_begin_callback", "encoder_begin_callback_user_data",
"abort_callback", "abort_callback_user_data",
"logits_filter_callback", "logits_filter_callback_user_data",
"grammar_rules", "n_grammar_rules", "i_start_rule", "grammar_penalty");
}
public static class ByValue extends WhisperFullParams implements Structure.ByValue {
public ByValue() { super(); }
public ByValue(Pointer p) { super(p); }
}
}

View File

@ -76,7 +76,7 @@ class WhisperCppTest {
float[] floats = new float[b.length / 2];
//WhisperFullParams params = whisper.getFullDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_GREEDY);
WhisperFullParams params = whisper.getFullDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_BEAM_SEARCH);
WhisperFullParams.ByValue params = whisper.getFullDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_BEAM_SEARCH);
params.setProgressCallback((ctx, state, progress, user_data) -> System.out.println("progress: " + progress));
params.print_progress = CBool.FALSE;
//params.initial_prompt = "and so my fellow Americans um, like";

View File

@ -33,6 +33,9 @@ mkdir build-em && cd build-em
emcmake cmake .. && make -j
# run test
node ../tests/test-whisper.js
# For Node.js versions prior to v16.4.0, experimental features need to be enabled:
node --experimental-wasm-threads --experimental-wasm-simd ../tests/test-whisper.js
# publish npm package

View File

@ -1,6 +1,6 @@
{
"name": "whisper.cpp",
"version": "1.7.4",
"version": "1.7.5",
"description": "Whisper speech recognition",
"main": "whisper.js",
"scripts": {

View File

@ -1,3 +1,6 @@
LICENSE
pkg/
lib/whisper.*
ext/sources/*
!ext/sources/CMakeGraphVizOptions.cmake
ext/mkmf.log

View File

@ -16,6 +16,18 @@ If bundler is not being used to manage dependencies, install the gem by executin
$ gem install whispercpp
You can pass build options for whisper.cpp, for instance:
$ bundle config build.whispercpp --enable-ggml-cuda
or,
$ gem install whispercpp -- --enable-ggml-cuda
See whisper.cpp's [README](https://github.com/ggml-org/whisper.cpp/blob/master/README.md) for available options. You need convert options present the README to Ruby-style options.
For boolean options like `GGML_CUDA`, the README says `-DGGML_CUDA=1`. You need strip `-D`, prepend `--enable-` for `1` or `ON` (`--disable-` for `0` or `OFF`) and make it kebab-case: `--enable-ggml-cuda`.
For options which require arguments like `CMAKE_CUDA_ARCHITECTURES`, the README says `-DCMAKE_CUDA_ARCHITECTURES="86"`. You need strip `-D`, prepend `--`, make it kebab-case, append `=` and append argument: `--cmake-cuda-architectures="86"`.
Usage
-----
@ -228,7 +240,7 @@ The second argument `samples` may be an array, an object with `length` and `each
Development
-----------
% git clone https://github.com/ggerganov/whisper.cpp.git
% git clone https://github.com/ggml-org/whisper.cpp.git
% cd whisper.cpp/bindings/ruby
% rake test
@ -241,5 +253,5 @@ License
The same to [whisper.cpp][].
[whisper.cpp]: https://github.com/ggerganov/whisper.cpp
[models]: https://github.com/ggerganov/whisper.cpp/tree/master/models
[whisper.cpp]: https://github.com/ggml-org/whisper.cpp
[models]: https://github.com/ggml-org/whisper.cpp/tree/master/models

View File

@ -3,11 +3,15 @@ require "bundler/gem_tasks"
require "rake/testtask"
require_relative "extsources"
SOURCES_DIR = "ext/sources"
SOURCES = FileList[]
EXTSOURCES.each do |src|
basename = src.pathmap("%f")
dest = basename == "LICENSE" ? basename : src.pathmap("%{../..,ext}p")
dest = basename == "LICENSE" ? basename
: src.pathmap("%{\\.\\./\\.\\.,#{SOURCES_DIR}}p")
.pathmap("%{\\.\\./javascript,#{SOURCES_DIR}/bindings/javascript}p")
dir = dest.pathmap("%d")
file src
directory dir
@ -18,7 +22,6 @@ EXTSOURCES.each do |src|
end
CLEAN.include SOURCES
CLEAN.include FileList["ext/**/*.o", "ext/**/*.metal", "ext/**/*.tmp", "ext/whisper.{so,bundle,dll}"]
SRC = FileList["ext/*.{c,cpp,h}"]
@ -36,6 +39,20 @@ file "ext/Makefile" => SRC + ["ext/extconf.rb"] + SOURCES do |t|
ruby "extconf.rb"
end
end
if File.exist? "ext/Makefile"
task :make_clean do
cd "ext" do
sh "make", "clean"
end
end
task clean: :make_clean
task :make_distclean do
cd "ext" do
sh "make", "distclean"
end
end
task clobber: :make_distclean
end
file SO_FILE => "ext/Makefile" do |t|
chdir "ext" do

View File

@ -1,9 +0,0 @@
ggml/src/ggml-cpu/ggml-cpu-cpp.o: \
ggml/src/ggml-cpu/ggml-cpu.cpp \
ggml/include/ggml-backend.h \
ggml/include/ggml.h \
ggml/include/ggml-alloc.h \
ggml/src/ggml-backend-impl.h \
ggml/include/ggml-cpu.h \
ggml/src/ggml-impl.h
$(CXX) $(CXXFLAGS) -c $< -o $@

View File

@ -0,0 +1,61 @@
require "tsort"
class Dependencies
def initialize(cmake, options)
@cmake = cmake
@options = options
generate_dot
@libs = parse_dot
end
def to_s
@libs.join(" ")
end
private
def dot_path
File.join(__dir__, "build", "whisper.cpp.dot")
end
def generate_dot
system @cmake, "-S", "sources", "-B", "build", "--graphviz", dot_path, "-D", "BUILD_SHARED_LIBS=OFF", @options.to_s, exception: true
end
def parse_dot
static_lib_shape = nil
nodes = {}
depends = Hash.new {|h, k| h[k] = []}
class << depends
include TSort
alias tsort_each_node each_key
def tsort_each_child(node, &block)
fetch(node, []).each(&block)
end
end
File.open(dot_path).each_line do |line|
case line
when /\[\s*label\s*=\s*"Static Library"\s*,\s*shape\s*=\s*(?<shape>\w+)\s*\]/
static_lib_shape = $~[:shape]
when /\A\s*"(?<node>\w+)"\s*\[\s*label\s*=\s*"(?<label>\S+)"\s*,\s*shape\s*=\s*(?<shape>\w+)\s*\]\s*;\s*\z/
node = $~[:node]
label = $~[:label]
shape = $~[:shape]
nodes[node] = [label, shape]
when /\A\s*"(?<depender>\w+)"\s*->\s*"(?<dependee>\w+)"/
depender = $~[:depender]
dependee = $~[:dependee]
depends[depender] ||= []
depends[depender] << dependee
end
end
depends.tsort.filter_map {|node|
label, shape = nodes[node]
shape == static_lib_shape ? label : nil
}.collect {|lib| "lib#{lib}.a"}
.reverse
end
end

View File

@ -1,206 +1,22 @@
require 'mkmf'
require "mkmf"
require_relative "options"
require_relative "dependencies"
# need to use c++ compiler flags
$CXXFLAGS << ' -std=c++17'
cmake = find_executable("cmake") || abort
options = Options.new
have_library("gomp") rescue nil
libs = Dependencies.new(cmake, options)
$LDFLAGS << ' -lstdc++'
$INCFLAGS << " -Isources/include -Isources/ggml/include -Isources/examples"
$LOCAL_LIBS << " #{libs}"
$cleanfiles << " build #{libs}"
# Set to true when building binary gems
if enable_config('static-stdlib', false)
$LDFLAGS << ' -static-libgcc -static-libstdc++'
end
if enable_config('march-tune-native', false)
$CFLAGS << ' -march=native -mtune=native'
$CXXFLAGS << ' -march=native -mtune=native'
end
if ENV['WHISPER_METAL']
$GGML_METAL ||= true
$DEPRECATE_WARNING ||= true
end
$UNAME_S = `uname -s`.chomp
$UNAME_P = `uname -p`.chomp
$UNAME_M = `uname -m`.chomp
if $UNAME_S == 'Darwin'
unless ENV['GGML_NO_METAL']
$GGML_METAL ||= true
end
$GGML_NO_OPENMP ||= true
end
if $GGML_METAL
$GGML_METAL_EMBED_LIBRARY = true
end
$MK_CPPFLAGS = '-Iggml/include -Iggml/src -Iggml/src/ggml-cpu -Iinclude -Isrc -Iexamples'
$MK_CFLAGS = '-std=c11 -fPIC'
$MK_CXXFLAGS = '-std=c++17 -fPIC'
$MK_NVCCFLAGS = '-std=c++17'
$MK_LDFLAGS = ''
$OBJ_GGML = []
$OBJ_WHISPER = []
$OBJ_COMMON = []
$OBJ_SDL = []
$MK_CPPFLAGS << ' -D_XOPEN_SOURCE=600'
if $UNAME_S == 'Linux'
$MK_CPPFLAGS << ' -D_GNU_SOURCE'
end
if $UNAME_S == 'Darwin'
$MK_CPPFLAGS << ' -D_DARWIN_C_SOURCE'
end
if ENV['WHISPER_DEBUG']
$MK_CFLAGS << ' -O0 -g'
$MK_CXXFLAGS << ' -O0 -g'
$MK_LDFLAGS << ' -g'
$MK_NVCCFLAGS << ' -O0 -g'
else
$MK_CPPFLAGS << ' -DNDEBUG'
$MK_CFLAGS << ' -O3'
$MK_CXXFLAGS << ' -O3'
$MK_NVCCFLAGS << ' -O3'
end
$WARN_FLAGS =
' -Wall' <<
' -Wextra' <<
' -Wpedantic' <<
' -Wcast-qual' <<
' -Wno-unused-function'
$MK_CFLAGS <<
$WARN_FLAGS <<
' -Wshadow' <<
' -Wstrict-prototypes' <<
' -Wpointer-arith' <<
' -Wmissing-prototypes' <<
' -Werror=implicit-int' <<
' -Werror=implicit-function-declaration'
$MK_CXXFLAGS <<
$WARN_FLAGS <<
' -Wmissing-declarations' <<
' -Wmissing-noreturn'
unless `#{cc_command} #{$LDFLAGS} -Wl,-v 2>&1`.chomp.include? 'dyld-1015.7'
$MK_CPPFLAGS << ' -DHAVE_BUGGY_APPLE_LINKER'
end
if %w[Linux Darwin FreeBSD NetBSD OpenBSD Haiku].include? $UNAME_S
$MK_CFLAGS << ' -pthread'
$MK_CXXFLAGS << ' -pthread'
end
unless $_WIN32
$DSO_EXT = '.so'
else
$DSO_EXT = '.dll'
end
unless ENV['RISCV']
if %w[x86_64 i686 amd64].include? $UNAME_M
$HOST_CXXFLAGS ||= ''
$MK_CFLAGS << ' -march=native -mtune=native'
$HOST_CXXFLAGS << ' -march=native -mtune=native'
end
else
$MK_CFLAGS << ' -march=rv64gcv -mabi=lp64d'
$MK_CXXFLAGS << ' -march=rv64gcv -mabi=lp64d'
end
unless ENV['GGML_NO_ACCELERATE']
if $UNAME_S == 'Darwin'
$MK_CPPFLAGS << ' -DGGML_USE_ACCELERATE -DGGML_USE_BLAS -DGGML_BLAS_USE_ACCELERATE'
$MK_CPPFLAGS << ' -DACCELERATE_NEW_LAPACK'
$MK_CPPFLAGS << ' -DACCELERATE_LAPACK_ILP64'
$MK_LDFLAGS << ' -framework Accelerate'
$OBJ_GGML << 'ggml/src/ggml-blas/ggml-blas.o'
end
end
if ENV['GGML_OPENBLAS']
$MK_CPPFLAGS << " -DGGML_USE_BLAS #{`pkg-config --cflags-only-I openblas`.chomp}"
$MK_CFLAGS << " #{`pkg-config --cflags-only-other openblas)`.chomp}"
$MK_LDFLAGS << " #{`pkg-config --libs openblas`}"
$OBJ_GGML << 'ggml/src/ggml-blas/ggml-blas.o'
end
if ENV['GGML_OPENBLAS64']
$MK_CPPFLAGS << " -DGGML_USE_BLAS #{`pkg-config --cflags-only-I openblas64`.chomp}"
$MK_CFLAGS << " #{`pkg-config --cflags-only-other openblas64)`.chomp}"
$MK_LDFLAGS << " #{`pkg-config --libs openblas64`}"
$OBJ_GGML << 'ggml/src/ggml-blas/ggml-blas.o'
end
if $GGML_METAL
$MK_CPPFLAGS << ' -DGGML_USE_METAL'
$MK_LDFLAGS << ' -framework Foundation -framework Metal -framework MetalKit'
$OBJ_GGML << 'ggml/src/ggml-metal/ggml-metal.o'
if ENV['GGML_METAL_NDEBUG']
$MK_CPPFLAGS << ' -DGGML_METAL_NDEBUG'
end
if $GGML_METAL_EMBED_LIBRARY
$MK_CPPFLAGS << ' -DGGML_METAL_EMBED_LIBRARY'
$OBJ_GGML << 'ggml/src/ggml-metal/ggml-metal-embed.o'
end
end
$OBJ_GGML <<
'ggml/src/ggml.o' <<
'ggml/src/ggml-alloc.o' <<
'ggml/src/ggml-backend.o' <<
'ggml/src/ggml-backend-reg.o' <<
'ggml/src/ggml-opt.o' <<
'ggml/src/ggml-quants.o' <<
'ggml/src/ggml-threading.o' <<
'ggml/src/ggml-cpu/ggml-cpu.o' <<
'ggml/src/ggml-cpu/ggml-cpu-cpp.o' <<
'ggml/src/ggml-cpu/ggml-cpu-aarch64.o' <<
'ggml/src/ggml-cpu/ggml-cpu-hbm.o' <<
'ggml/src/ggml-cpu/ggml-cpu-quants.o' <<
'ggml/src/ggml-cpu/ggml-cpu-traits.o'
$OBJ_WHISPER <<
'src/whisper.o'
$objs = $OBJ_GGML + $OBJ_WHISPER + $OBJ_COMMON + $OBJ_SDL
$objs <<
"ruby_whisper.o" <<
"ruby_whisper_context.o" <<
"ruby_whisper_transcribe.o" <<
"ruby_whisper_params.o" <<
"ruby_whisper_error.o" <<
"ruby_whisper_segment.o" <<
"ruby_whisper_model.o"
$CPPFLAGS = "#{$MK_CPPFLAGS} #{$CPPFLAGS}"
$CFLAGS = "#{$CPPFLAGS} #{$MK_CFLAGS} #{$GF_CFLAGS} #{$CFLAGS}"
$BASE_CXXFLAGS = "#{$MK_CXXFLAGS} #{$CXXFLAGS}"
$CXXFLAGS = "#{$BASE_CXXFLAGS} #{$HOST_CXXFLAGS} #{$GF_CXXFLAGS} #{$CPPFLAGS}"
$NVCCFLAGS = "#{$MK_NVCCFLAGS} #{$NVCCFLAGS}"
$LDFLAGS = "#{$MK_LDFLAGS} #{$LDFLAGS}"
create_makefile('whisper')
File.open 'Makefile', 'a' do |file|
file.puts 'include scripts/get-flags.mk'
file.puts 'include cpu.mk'
if $GGML_METAL
file.puts 'include metal.mk'
if $GGML_METAL_EMBED_LIBRARY
file.puts 'include metal-embed.mk'
end
end
create_makefile "whisper" do |conf|
conf << <<~EOF
$(TARGET_SO): #{libs}
#{libs}: cmake-targets
cmake-targets:
#{"\t"}#{cmake} -S sources -B build -D BUILD_SHARED_LIBS=OFF -D CMAKE_ARCHIVE_OUTPUT_DIRECTORY=#{__dir__} -D CMAKE_POSITION_INDEPENDENT_CODE=ON #{options}
#{"\t"}#{cmake} --build build --config Release --target common whisper
EOF
end

View File

@ -1,17 +0,0 @@
ggml/src/ggml-metal/ggml-metal-embed.o: \
ggml/src/ggml-metal/ggml-metal.metal \
ggml/src/ggml-metal/ggml-metal-impl.h \
ggml/src/ggml-common.h
@echo "Embedding Metal library"
@sed -e '/__embed_ggml-common.h__/r ggml/src/ggml-common.h' -e '/__embed_ggml-common.h__/d' < ggml/src/ggml-metal/ggml-metal.metal > ggml/src/ggml-metal/ggml-metal-embed.metal.tmp
@sed -e '/#include "ggml-metal-impl.h"/r ggml/src/ggml-metal/ggml-metal-impl.h' -e '/#include "ggml-metal-impl.h"/d' < ggml/src/ggml-metal/ggml-metal-embed.metal.tmp > ggml/src/ggml-metal/ggml-metal-embed.metal
$(eval TEMP_ASSEMBLY=$(shell mktemp -d))
@echo ".section __DATA, __ggml_metallib" > $(TEMP_ASSEMBLY)/ggml-metal-embed.s
@echo ".globl _ggml_metallib_start" >> $(TEMP_ASSEMBLY)/ggml-metal-embed.s
@echo "_ggml_metallib_start:" >> $(TEMP_ASSEMBLY)/ggml-metal-embed.s
@echo ".incbin \"ggml/src/ggml-metal/ggml-metal-embed.metal\"" >> $(TEMP_ASSEMBLY)/ggml-metal-embed.s
@echo ".globl _ggml_metallib_end" >> $(TEMP_ASSEMBLY)/ggml-metal-embed.s
@echo "_ggml_metallib_end:" >> $(TEMP_ASSEMBLY)/ggml-metal-embed.s
$(CC) $(CFLAGS) -c $(TEMP_ASSEMBLY)/ggml-metal-embed.s -o $@
@rm -f ${TEMP_ASSEMBLY}/ggml-metal-embed.s
@rmdir ${TEMP_ASSEMBLY}

View File

@ -1,6 +0,0 @@
ggml/src/ggml-metal/ggml-metal.o: \
ggml/src/ggml-metal/ggml-metal.m \
ggml/src/ggml-metal/ggml-metal-impl.h \
ggml/include/ggml-metal.h \
ggml/include/ggml.h
$(CC) $(CFLAGS) -c $< -o $@

View File

@ -0,0 +1,219 @@
class Options
def initialize
@options = {}
@pending_options = []
@ignored_options = []
configure
end
def help
@options
.collect_concat {|name, (type, value)|
option = option_name(name)
if type == :bool
["--enable-#{option}", "--disable-#{option}"]
else
"--#{option}=#{type.upcase}"
end
}
.join($/)
end
def to_s
@options
.reject {|name, (type, value)| value.nil?}
.collect {|name, (type, value)| "-D #{name}=#{value == true ? "ON" : value == false ? "OFF" : value.shellescape}"}
.join(" ")
end
def cmake_options
return @cmake_options if @cmake_options
output = nil
Dir.chdir __dir__ do
output = `cmake -S sources -B build -L`
end
started = false
@cmake_options = output.lines.filter_map {|line|
if line.chomp == "-- Cache values"
started = true
next
end
next unless started
option, value = line.chomp.split("=", 2)
name, type = option.split(":", 2)
[name, type, value]
}
end
def missing_options
cmake_options.collect {|name, type, value| name} -
@options.keys - @pending_options - @ignored_options
end
def extra_options
@options.keys + @pending_options - @ignored_options -
cmake_options.collect {|name, type, value| name}
end
private
def configure
filepath "ACCELERATE_FRAMEWORK"
ignored "BUILD_SHARED_LIBS"
ignored "BUILD_TESTING"
ignored "CMAKE_BUILD_TYPE"
ignored "CMAKE_INSTALL_PREFIX"
string "CMAKE_OSX_ARCHITECTURES"
ignored "CMAKE_OSX_DEPLOYMENT_TARGET"
string "CMAKE_OSX_SYSROOT"
filepath "FOUNDATION_LIBRARY"
bool "GGML_ACCELERATE"
bool "GGML_ALL_WARNINGS_3RD_PARTY"
bool "GGML_AMX_BF16"
bool "GGML_AMX_INT8"
bool "GGML_AMX_TILE"
bool "GGML_AVX"
bool "GGML_AVX2"
bool "GGML_AVX512"
bool "GGML_AVX512_BF16"
bool "GGML_AVX512_VBMI"
bool "GGML_AVX512_VNNI"
bool "GGML_AVX_VNNI"
ignored "GGML_BACKEND_DL"
ignored "GGML_BIN_INSTALL_DIR"
bool "GGML_BLAS"
string "GGML_BLAS_VENDOR"
bool "GGML_BMI2"
ignored "GGML_BUILD_EXAMPLES"
ignored "GGML_BUILD_TESTS"
filepath "GGML_CCACHE_FOUND"
bool "GGML_CPU"
bool "GGML_CPU_AARCH64"
ignored "GGML_CPU_ALL_VARIANTS"
string "GGML_CPU_ARM_ARCH"
bool "GGML_CPU_HBM"
bool "GGML_CPU_KLEIDIAI"
string "GGML_CPU_POWERPC_CPUTYPE"
bool "GGML_CUDA"
string "GGML_CUDA_COMPRESSION_MODE"
bool "GGML_CUDA_F16"
bool "GGML_CUDA_FA"
bool "GGML_CUDA_FA_ALL_QUANTS"
bool "GGML_CUDA_FORCE_CUBLAS"
bool "GGML_CUDA_FORCE_MMQ"
ignored "GGML_CUDA_GRAPHS"
bool "GGML_CUDA_NO_PEER_COPY"
bool "GGML_CUDA_NO_VMM"
string "GGML_CUDA_PEER_MAX_BATCH_SIZE"
bool "GGML_F16C"
bool "GGML_FMA"
bool "GGML_GPROF"
bool "GGML_HIP"
bool "GGML_HIP_GRAPHS"
bool "GGML_HIP_NO_VMM"
bool "GGML_HIP_ROCWMMA_FATTN"
ignored "GGML_INCLUDE_INSTALL_DIR"
bool "GGML_KOMPUTE"
bool "GGML_LASX"
ignored "GGML_LIB_INSTALL_DIR"
ignored "GGML_LLAMAFILE"
bool "GGML_LSX"
bool "GGML_LTO"
bool "GGML_METAL"
bool "GGML_METAL_EMBED_LIBRARY"
string "GGML_METAL_MACOSX_VERSION_MIN"
bool "GGML_METAL_NDEBUG"
bool "GGML_METAL_SHADER_DEBUG"
string "GGML_METAL_STD"
bool "GGML_METAL_USE_BF16"
bool "GGML_MUSA"
bool "GGML_NATIVE"
bool "GGML_OPENCL"
bool "GGML_OPENCL_EMBED_KERNELS"
bool "GGML_OPENCL_PROFILING"
string "GGML_OPENCL_TARGET_VERSION"
bool "GGML_OPENCL_USE_ADRENO_KERNELS"
bool "GGML_OPENMP"
bool "GGML_RPC"
bool "GGML_RVV"
bool "GGML_RV_ZFH"
pending "GGML_SCCACHE_FOUND"
string "GGML_SCHED_MAX_COPIES"
bool "GGML_SSE42"
ignored "GGML_STATIC"
bool "GGML_SYCL"
string "GGML_SYCL_DEVICE_ARCH"
bool "GGML_SYCL_F16"
bool "GGML_SYCL_GRAPH"
string "GGML_SYCL_TARGET"
bool "GGML_VULKAN"
bool "GGML_VULKAN_CHECK_RESULTS"
bool "GGML_VULKAN_DEBUG"
bool "GGML_VULKAN_MEMORY_DEBUG"
bool "GGML_VULKAN_PERF"
ignored "GGML_VULKAN_RUN_TESTS"
filepath "GGML_VULKAN_SHADERS_GEN_TOOLCHAIN"
bool "GGML_VULKAN_SHADER_DEBUG_INFO"
pending "GGML_VULKAN_VALIDATE"
bool "GGML_VXE"
filepath "GIT_EXE"
filepath "MATH_LIBRARY"
filepath "METALKIT_FRAMEWORK"
filepath "METAL_FRAMEWORK"
bool "WHISPER_ALL_WARNINGS"
bool "WHISPER_ALL_WARNINGS_3RD_PARTY"
ignored "WHISPER_BIN_INSTALL_DIR"
ignored "WHISPER_BUILD_EXAMPLES"
ignored "WHISPER_BUILD_SERVER"
ignored"WHISPER_BUILD_TESTS"
bool "WHISPER_CCACHE"
bool "WHISPER_COREML"
bool "WHISPER_COREML_ALLOW_FALLBACK"
ignored "WHISPER_CURL"
bool "WHISPER_FATAL_WARNINGS"
ignored "WHISPER_FFMPEG"
ignored "WHISPER_INCLUDE_INSTALL_DIR"
ignored "WHISPER_LIB_INSTALL_DIR"
bool "WHISPER_OPENVINO"
bool "WHISPER_SANITIZE_ADDRESS"
bool "WHISPER_SANITIZE_THREAD"
bool "WHISPER_SANITIZE_UNDEFINED"
ignored "WHISPER_SDL2"
pending "WHISPER_USE_SYSTEM_GGML"
end
def option_name(name)
name.downcase.gsub("_", "-")
end
def bool(name)
option = option_name(name)
value = enable_config(option)
@options[name] = [:bool, value]
end
def string(name, type=:string)
option = "--#{option_name(name)}"
value = arg_config(option)
raise "String expected for #{option}" if value == true || value&.empty?
@options[name] = [type, value]
end
def path(name)
string(name, :path)
end
def filepath(name)
string(name, :filepath)
end
def pending(name)
@pending_options << name
end
def ignored(name)
@ignored_options << name
end
end

View File

@ -19,6 +19,7 @@ typedef struct {
bool diarize;
ruby_whisper_callback_container *new_segment_callback_container;
ruby_whisper_callback_container *progress_callback_container;
ruby_whisper_callback_container *encoder_begin_callback_container;
ruby_whisper_callback_container *abort_callback_container;
} ruby_whisper_params;

View File

@ -26,7 +26,7 @@
rb_define_method(cParams, #param_name, ruby_whisper_params_get_ ## param_name, 0); \
rb_define_method(cParams, #param_name "=", ruby_whisper_params_set_ ## param_name, 1);
#define RUBY_WHISPER_PARAMS_PARAM_NAMES_COUNT 30
#define RUBY_WHISPER_PARAMS_PARAM_NAMES_COUNT 32
extern VALUE cParams;
@ -63,6 +63,8 @@ static ID id_new_segment_callback;
static ID id_new_segment_callback_user_data;
static ID id_progress_callback;
static ID id_progress_callback_user_data;
static ID id_encoder_begin_callback;
static ID id_encoder_begin_callback_user_data;
static ID id_abort_callback;
static ID id_abort_callback_user_data;
@ -126,6 +128,33 @@ static void progress_callback(struct whisper_context *ctx, struct whisper_state
}
}
static bool encoder_begin_callback(struct whisper_context *ctx, struct whisper_state *state, void *user_data) {
const ruby_whisper_callback_container *container = (ruby_whisper_callback_container *)user_data;
bool is_aborted = false;
VALUE result;
// Currently, doesn't support state because
// those require to resolve GC-related problems.
if (!NIL_P(container->callback)) {
result = rb_funcall(container->callback, id_call, 3, *container->context, Qnil, container->user_data);
if (result == Qfalse) {
is_aborted = true;
}
}
const long callbacks_len = RARRAY_LEN(container->callbacks);
if (0 == callbacks_len) {
return !is_aborted;
}
for (int j = 0; j < callbacks_len; j++) {
VALUE cb = rb_ary_entry(container->callbacks, j);
result = rb_funcall(cb, id_call, 0);
if (result == Qfalse) {
is_aborted = true;
}
}
return !is_aborted;
}
static bool abort_callback(void * user_data) {
const ruby_whisper_callback_container *container = (ruby_whisper_callback_container *)user_data;
if (!NIL_P(container->callback)) {
@ -161,6 +190,12 @@ void register_callbacks(ruby_whisper_params * rwp, VALUE * context) {
rwp->params.progress_callback_user_data = rwp->progress_callback_container;
}
if (!NIL_P(rwp->encoder_begin_callback_container->callback) || 0 != RARRAY_LEN(rwp->encoder_begin_callback_container->callbacks)) {
rwp->encoder_begin_callback_container->context = context;
rwp->params.encoder_begin_callback = encoder_begin_callback;
rwp->params.encoder_begin_callback_user_data = rwp->encoder_begin_callback_container;
}
if (!NIL_P(rwp->abort_callback_container->callback) || 0 != RARRAY_LEN(rwp->abort_callback_container->callbacks)) {
rwp->abort_callback_container->context = context;
rwp->params.abort_callback = abort_callback;
@ -173,6 +208,7 @@ rb_whisper_params_mark(ruby_whisper_params *rwp)
{
rb_whisper_callbcack_container_mark(rwp->new_segment_callback_container);
rb_whisper_callbcack_container_mark(rwp->progress_callback_container);
rb_whisper_callbcack_container_mark(rwp->encoder_begin_callback_container);
rb_whisper_callbcack_container_mark(rwp->abort_callback_container);
}
@ -198,6 +234,7 @@ ruby_whisper_params_allocate(VALUE klass)
rwp->diarize = false;
rwp->new_segment_callback_container = rb_whisper_callback_container_allocate();
rwp->progress_callback_container = rb_whisper_callback_container_allocate();
rwp->encoder_begin_callback_container = rb_whisper_callback_container_allocate();
rwp->abort_callback_container = rb_whisper_callback_container_allocate();
return Data_Wrap_Struct(klass, rb_whisper_params_mark, rb_whisper_params_free, rwp);
}
@ -849,6 +886,57 @@ ruby_whisper_params_set_progress_callback_user_data(VALUE self, VALUE value)
rwp->progress_callback_container->user_data = value;
return value;
}
static VALUE
ruby_whisper_params_get_encoder_begin_callback(VALUE self)
{
ruby_whisper_params *rwp;
Data_Get_Struct(self, ruby_whisper_params, rwp);
return rwp->encoder_begin_callback_container->callback;
}
/*
* Sets encoder begin callback, called when the encoder starts.
*
* params.encoder_begin_callback = ->(context, _, user_data) {
* # ...
* }
*
* call-seq:
* encoder_begin_callback = callback -> callback
*/
static VALUE
ruby_whisper_params_set_encoder_begin_callback(VALUE self, VALUE value)
{
ruby_whisper_params *rwp;
Data_Get_Struct(self, ruby_whisper_params, rwp);
rwp->encoder_begin_callback_container->callback = value;
return value;
}
static VALUE
ruby_whisper_params_get_encoder_begin_callback_user_data(VALUE self)
{
ruby_whisper_params *rwp;
Data_Get_Struct(self, ruby_whisper_params, rwp);
return rwp->encoder_begin_callback_container->user_data;
}
/*
* Sets user data passed to the last argument of encoder begin callback.
*
* call-seq:
* encoder_begin_callback_user_data = user_data -> use_data
*/
static VALUE
ruby_whisper_params_set_encoder_begin_callback_user_data(VALUE self, VALUE value)
{
ruby_whisper_params *rwp;
Data_Get_Struct(self, ruby_whisper_params, rwp);
rwp->encoder_begin_callback_container->user_data = value;
return value;
}
static VALUE
ruby_whisper_params_get_abort_callback(VALUE self)
{
@ -918,7 +1006,7 @@ ruby_whisper_params_initialize(int argc, VALUE *argv, VALUE self)
return self;
}
rb_get_kwargs(kw_hash, &param_names, 0, RUBY_WHISPER_PARAMS_PARAM_NAMES_COUNT, &values);
rb_get_kwargs(kw_hash, param_names, 0, RUBY_WHISPER_PARAMS_PARAM_NAMES_COUNT, values);
Data_Get_Struct(self, ruby_whisper_params, rwp);
for (i = 0; i < RUBY_WHISPER_PARAMS_PARAM_NAMES_COUNT; i++) {
@ -958,6 +1046,8 @@ ruby_whisper_params_initialize(int argc, VALUE *argv, VALUE self)
SET_PARAM_IF_SAME(new_segment_callback_user_data)
SET_PARAM_IF_SAME(progress_callback)
SET_PARAM_IF_SAME(progress_callback_user_data)
SET_PARAM_IF_SAME(encoder_begin_callback)
SET_PARAM_IF_SAME(encoder_begin_callback_user_data)
SET_PARAM_IF_SAME(abort_callback)
SET_PARAM_IF_SAME(abort_callback_user_data)
}
@ -1008,6 +1098,26 @@ ruby_whisper_params_on_progress(VALUE self)
return Qnil;
}
/*
* Hook called when the encoder starts.
*
* whisper.on_encoder_begin do
* # ...
* end
*
* call-seq:
* on_encoder_begin { ... }
*/
static VALUE
ruby_whisper_params_on_encoder_begin(VALUE self)
{
ruby_whisper_params *rws;
Data_Get_Struct(self, ruby_whisper_params, rws);
const VALUE blk = rb_block_proc();
rb_ary_push(rws->encoder_begin_callback_container->callbacks, blk);
return Qnil;
}
/*
* Call block to determine whether abort or not. Return +true+ when you want to abort.
*
@ -1068,10 +1178,13 @@ init_ruby_whisper_params(VALUE *mWhisper)
DEFINE_PARAM(new_segment_callback_user_data, 25)
DEFINE_PARAM(progress_callback, 26)
DEFINE_PARAM(progress_callback_user_data, 27)
DEFINE_PARAM(abort_callback, 28)
DEFINE_PARAM(abort_callback_user_data, 29)
DEFINE_PARAM(encoder_begin_callback, 28)
DEFINE_PARAM(encoder_begin_callback_user_data, 29)
DEFINE_PARAM(abort_callback, 30)
DEFINE_PARAM(abort_callback_user_data, 31)
rb_define_method(cParams, "on_new_segment", ruby_whisper_params_on_new_segment, 0);
rb_define_method(cParams, "on_progress", ruby_whisper_params_on_progress, 0);
rb_define_method(cParams, "on_encoder_begin", ruby_whisper_params_on_encoder_begin, 0);
rb_define_method(cParams, "abort_on", ruby_whisper_params_abort_on, 0);
}

View File

@ -1,7 +1,6 @@
#include <ruby.h>
#include "ruby_whisper.h"
#define DR_WAV_IMPLEMENTATION
#include "dr_wav.h"
#include "common-whisper.h"
#include <string>
#include <vector>
@ -47,94 +46,20 @@ ruby_whisper_transcribe(int argc, VALUE *argv, VALUE self) {
std::vector<float> pcmf32; // mono-channel F32 PCM
std::vector<std::vector<float>> pcmf32s; // stereo-channel F32 PCM
// WAV input - this is directly from main.cpp example
{
drwav wav;
std::vector<uint8_t> wav_data; // used for pipe input from stdin
if (fname_inp == "-") {
{
uint8_t buf[1024];
while (true) {
const size_t n = fread(buf, 1, sizeof(buf), stdin);
if (n == 0) {
break;
}
wav_data.insert(wav_data.end(), buf, buf + n);
}
}
if (drwav_init_memory(&wav, wav_data.data(), wav_data.size(), nullptr) == false) {
fprintf(stderr, "error: failed to open WAV file from stdin\n");
return self;
}
fprintf(stderr, "%s: read %zu bytes from stdin\n", __func__, wav_data.size());
} else if (drwav_init_file(&wav, fname_inp.c_str(), nullptr) == false) {
fprintf(stderr, "error: failed to open '%s' as WAV file\n", fname_inp.c_str());
return self;
}
if (wav.channels != 1 && wav.channels != 2) {
fprintf(stderr, "WAV file '%s' must be mono or stereo\n", fname_inp.c_str());
return self;
}
if (rwp->diarize && wav.channels != 2 && rwp->params.print_timestamps == false) {
fprintf(stderr, "WAV file '%s' must be stereo for diarization and timestamps have to be enabled\n", fname_inp.c_str());
return self;
}
if (wav.sampleRate != WHISPER_SAMPLE_RATE) {
fprintf(stderr, "WAV file '%s' must be %i kHz\n", fname_inp.c_str(), WHISPER_SAMPLE_RATE/1000);
return self;
}
if (wav.bitsPerSample != 16) {
fprintf(stderr, "WAV file '%s' must be 16-bit\n", fname_inp.c_str());
return self;
}
const uint64_t n = wav_data.empty() ? wav.totalPCMFrameCount : wav_data.size()/(wav.channels*wav.bitsPerSample/8);
std::vector<int16_t> pcm16;
pcm16.resize(n*wav.channels);
drwav_read_pcm_frames_s16(&wav, n, pcm16.data());
drwav_uninit(&wav);
// convert to mono, float
pcmf32.resize(n);
if (wav.channels == 1) {
for (uint64_t i = 0; i < n; i++) {
pcmf32[i] = float(pcm16[i])/32768.0f;
}
} else {
for (uint64_t i = 0; i < n; i++) {
pcmf32[i] = float((int32_t)pcm16[2*i] + pcm16[2*i + 1])/65536.0f;
}
}
if (rwp->diarize) {
// convert to stereo, float
pcmf32s.resize(2);
pcmf32s[0].resize(n);
pcmf32s[1].resize(n);
for (uint64_t i = 0; i < n; i++) {
pcmf32s[0][i] = float(pcm16[2*i])/32768.0f;
pcmf32s[1][i] = float(pcm16[2*i + 1])/32768.0f;
}
}
if (!read_audio_data(fname_inp, pcmf32, pcmf32s, rwp->diarize)) {
fprintf(stderr, "error: failed to open '%s' as WAV file\n", fname_inp.c_str());
return self;
}
{
static bool is_aborted = false; // NOTE: this should be atomic to avoid data race
// Commented out because it is work in progress
// {
// static bool is_aborted = false; // NOTE: this should be atomic to avoid data race
rwp->params.encoder_begin_callback = [](struct whisper_context * /*ctx*/, struct whisper_state * /*state*/, void * user_data) {
bool is_aborted = *(bool*)user_data;
return !is_aborted;
};
rwp->params.encoder_begin_callback_user_data = &is_aborted;
}
// rwp->params.encoder_begin_callback = [](struct whisper_context * /*ctx*/, struct whisper_state * /*state*/, void * user_data) {
// bool is_aborted = *(bool*)user_data;
// return !is_aborted;
// };
// rwp->params.encoder_begin_callback_user_data = &is_aborted;
// }
register_callbacks(rwp, &self);

View File

@ -0,0 +1,8 @@
set(GRAPHVIZ_EXECUTABLES FALSE)
set(GRAPHVIZ_STATIC_LIBS TRUE)
set(GRAPHVIZ_SHARED_LIBS FALSE)
set(GRAPHVIZ_MODULE_LIBS FALSE)
set(GRAPHVIZ_INTERFACE_LIBS FALSE)
set(GRAPHVIZ_OBJECT_LIBS FALSE)
set(GRAPHVIZ_UNKNOWN_LIBS FALSE)
set(GRAPHVIZ_GENERATE_DEPENDERS FALSE)

View File

@ -1,6 +1,34 @@
require "yaml"
ignored_dirs = %w[
.devops
examples/wchess/wchess.wasm
examples/whisper.android
examples/whisper.android.java
examples/whisper.objc
examples/whisper.swiftui
grammars
models
samples
scripts
]
ignored_files = %w[
AUTHORS
Makefile
README.md
README_sycl.md
.gitignore
.gitmodules
whisper.nvim
twitch.sh
yt-wsp.sh
]
sources = `git ls-files -z ../..`.split("\x0")
paths = YAML.load_file("../../.github/workflows/bindings-ruby.yml")[true]["push"]["paths"]
paths.delete "bindings/ruby/**"
EXTSOURCES = (Dir.glob(paths, base: "../..").collect {|path| "../../#{path}"} << "../../LICENSE") & sources
EXTSOURCES =
`git ls-files -z ../..`.split("\x0")
.select {|file|
basename = File.basename(file)
ignored_dirs.all? {|dir| !file.start_with?("../../#{dir}")} &&
!ignored_files.include?(basename) &&
(file.start_with?("../..") || file.start_with?("../javascript")) &&
(!file.start_with?("../../.github/") || basename == "bindings-ruby.yml")
}

View File

@ -34,7 +34,7 @@ module Whisper
when /darwin/
Pathname(Dir.home)/"Library/Caches"
else
ENV.key?("XDG_CACHE_HOME") ? ENV["XDG_CACHE_HOME"] : Pathname(Dir.home)/".cache"
ENV.key?("XDG_CACHE_HOME") ? Pathname(ENV["XDG_CACHE_HOME"]) : Pathname(Dir.home)/".cache"
end
base/"whisper.cpp"
end
@ -53,7 +53,7 @@ module Whisper
http.request request do |response|
case response
when Net::HTTPNotModified
# noop
# noop
when Net::HTTPOK
download response
when Net::HTTPRedirection
@ -68,7 +68,7 @@ module Whisper
rescue => err
if cache_path.exist?
warn err
# Use cache file
# Use cache file
else
raise
end

View File

@ -7,6 +7,7 @@ module Whisper
type log_callback = ^(Integer level, String message, Object user_data) -> void
type new_segment_callback = ^(Whisper::Context, void, Integer n_new, Object user_data) -> void
type progress_callback = ^(Whisper::Context, void, Integer progress, Object user_data) -> void
type encoder_begin_callback = ^(Whisper::Context, void, Object user_data) -> void
type abort_callback = ^(Whisper::Context, void, Object user_data) -> boolish
LOG_LEVEL_NONE: Integer
@ -23,9 +24,20 @@ module Whisper
def self.log_set: (log_callback, Object? user_data) -> log_callback
class Context
def self.new: (string | _ToPath | ::URI::HTTP) -> instance
def self.new: (path | ::URI::HTTP) -> instance
# transcribe a single file
# can emit to a block results
#
# params = Whisper::Params.new
# params.duration = 60_000
# whisper.transcribe "path/to/audio.wav", params do |text|
# puts text
# end
#
def transcribe: (string, Params) -> self
| (string, Params) { (String) -> void } -> self
def model_n_vocab: () -> Integer
def model_n_audio_ctx: () -> Integer
def model_n_audio_state: () -> Integer
@ -34,19 +46,72 @@ module Whisper
def model_n_mels: () -> Integer
def model_ftype: () -> Integer
def model_type: () -> String
# Yields each Whisper::Segment:
#
# whisper.transcribe("path/to/audio.wav", params)
# whisper.each_segment do |segment|
# puts segment.text
# end
#
# Returns an Enumerator if no block given:
#
# whisper.transcribe("path/to/audio.wav", params)
# enum = whisper.each_segment
# enum.to_a # => [#<Whisper::Segment>, ...]
#
def each_segment: { (Segment) -> void } -> void
| () -> Enumerator[Segment]
def model: () -> Model
def full_get_segment: (Integer nth) -> Segment
def full_n_segments: () -> Integer
# Language ID, which can be converted to string by Whisper.lang_str and Whisper.lang_str_full.
#
def full_lang_id: () -> Integer
# Start time of a segment indexed by +segment_index+ in centiseconds (10 times milliseconds).
#
# full_get_segment_t0(3) # => 1668 (16680 ms)
#
def full_get_segment_t0: (Integer) -> Integer
# End time of a segment indexed by +segment_index+ in centiseconds (10 times milliseconds).
#
# full_get_segment_t1(3) # => 1668 (16680 ms)
#
def full_get_segment_t1: (Integer) -> Integer
# Whether the next segment indexed by +segment_index+ is predicated as a speaker turn.
#
# full_get_segment_speacker_turn_next(3) # => true
#
def full_get_segment_speaker_turn_next: (Integer) -> (true | false)
# Text of a segment indexed by +segment_index+.
#
# full_get_segment_text(3) # => "ask not what your country can do for you, ..."
#
def full_get_segment_text: (Integer) -> String
def full_get_segment_no_speech_prob: (Integer) -> Float
# Run the entire model: PCM -> log mel spectrogram -> encoder -> decoder -> text
# Not thread safe for same context
# Uses the specified decoding strategy to obtain the text.
#
# The second argument +samples+ must be an array of samples, respond to :length, or be a MemoryView of an array of float. It must be 32 bit float PCM audio data.
#
def full: (Params, Array[Float] samples, ?Integer n_samples) -> self
| (Params, _Samples, ?Integer n_samples) -> self
# Split the input audio in chunks and process each chunk separately using whisper_full_with_state()
# Result is stored in the default state of the context
# Not thread safe if executed in parallel on the same context.
# It seems this approach can offer some speedup in some cases.
# However, the transcription accuracy can be worse at the beginning and end of each chunk.
#
def full_parallel: (Params, Array[Float], ?Integer n_samples) -> self
| (Params, _Samples, ?Integer n_samples) -> self
| (Params, _Samples, ?Integer? n_samples, Integer n_processors) -> self
@ -82,71 +147,223 @@ module Whisper
?new_segment_callback_user_data: Object,
?progress_callback: progress_callback,
?progress_callback_user_data: Object,
?encoder_begin_callback: encoder_begin_callback,
?encoder_begin_callback_user_data: Object,
?abort_callback: abort_callback,
?abort_callback_user_data: Object
) -> instance
# params.language = "auto" | "en", etc...
#
def language=: (String) -> String # TODO: Enumerate lang names
def language: () -> String
def translate=: (boolish) -> boolish
def translate: () -> (true | false)
def no_context=: (boolish) -> boolish
# If true, does not use past transcription (if any) as initial prompt for the decoder.
#
def no_context: () -> (true | false)
def single_segment=: (boolish) -> boolish
# If true, forces single segment output (useful for streaming).
#
def single_segment: () -> (true | false)
def print_special=: (boolish) -> boolish
# If true, prints special tokens (e.g. <SOT>, <EOT>, <BEG>, etc.).
#
def print_special: () -> (true | false)
def print_progress=: (boolish) -> boolish
# If true, prints progress information.
#
def print_progress: () -> (true | false)
def print_realtime=: (boolish) -> boolish
# If true, prints results from within whisper.cpp. (avoid it, use callback instead)
#
def print_realtime: () -> (true | false)
# If true, prints timestamps for each text segment when printing realtime.
#
def print_timestamps=: (boolish) -> boolish
def print_timestamps: () -> (true | false)
def suppress_blank=: (boolish) -> boolish
# If true, suppresses blank outputs.
#
def suppress_blank: () -> (true | false)
def suppress_nst=: (boolish) -> boolish
# If true, suppresses non-speech-tokens.
#
def suppress_nst: () -> (true | false)
def token_timestamps=: (boolish) -> boolish
# If true, enables token-level timestamps.
#
def token_timestamps: () -> (true | false)
def split_on_word=: (boolish) -> boolish
# If true, split on word rather than on token (when used with max_len).
#
def split_on_word: () -> (true | false)
def initial_prompt=: (_ToS) -> _ToS
# Tokens to provide to the whisper decoder as initial prompt
# these are prepended to any existing text context from a previous call
# use whisper_tokenize() to convert text to tokens.
# Maximum of whisper_n_text_ctx()/2 tokens are used (typically 224).
#
def initial_prompt: () -> (String | nil)
def diarize=: (boolish) -> boolish
# If true, enables diarization.
#
def diarize: () -> (true | false)
def offset=: (Integer) -> Integer
# Start offset in ms.
#
def offset: () -> Integer
def duration=: (Integer) -> Integer
# Audio duration to process in ms.
#
def duration: () -> Integer
def max_text_tokens=: (Integer) -> Integer
# Max tokens to use from past text as prompt for the decoder.
#
def max_text_tokens: () -> Integer
def temperature=: (Float) -> Float
def temperature: () -> Float
def max_initial_ts=: (Float) -> Float
# See https://github.com/openai/whisper/blob/f82bc59f5ea234d4b97fb2860842ed38519f7e65/whisper/decoding.py#L97
#
def max_initial_ts: () -> Float
def length_penalty=: (Float) -> Float
def length_penalty: () -> Float
def temperature_inc=: (Float) -> Float
def temperature_inc: () -> Float
def entropy_thold=: (Float) -> Float
# Similar to OpenAI's "compression_ratio_threshold"
#
def entropy_thold: () -> Float
def logprob_thold=: (Float) -> Float
def logprob_thold: () -> Float
def no_speech_thold=: (Float) -> Float
def no_speech_thold: () -> Float
# Sets new segment callback, called for every newly generated text segment.
#
# params.new_segment_callback = ->(context, _, n_new, user_data) {
# # ...
# }
#
def new_segment_callback=: (new_segment_callback) -> new_segment_callback
def new_segment_callback: () -> (new_segment_callback | nil)
# Sets user data passed to the last argument of new segment callback.
#
def new_segment_callback_user_data=: (Object) -> Object
def new_segment_callback_user_data: () -> Object
# Sets progress callback, called on each progress update.
#
# params.new_segment_callback = ->(context, _, progress, user_data) {
# # ...
# }
#
# +progress+ is an Integer between 0 and 100.
#
def progress_callback=: (progress_callback) -> progress_callback
def progress_callback: () -> (progress_callback | nil)
# Sets user data passed to the last argument of progress callback.
#
def progress_callback_user_data=: (Object) -> Object
def progress_callback_user_data: () -> Object
# Sets encoder begin callback, called when the encoder starts.
#
def encoder_begin_callback=: (encoder_begin_callback) -> encoder_begin_callback
def encoder_begin_callback: () -> (encoder_begin_callback | nil)
# Sets user data passed to the last argument of encoder begin callback.
#
def encoder_begin_callback_user_data=: (Object) -> Object
def encoder_begin_callback_user_data: () -> Object
# Sets abort callback, called to check if the process should be aborted.
#
# params.abort_callback = ->(user_data) {
# # ...
# }
#
#
def abort_callback=: (abort_callback) -> abort_callback
def abort_callback: () -> (abort_callback | nil)
# Sets user data passed to the last argument of abort callback.
#
def abort_callback_user_data=: (Object) -> Object
def abort_callback_user_data: () -> Object
# Hook called on new segment. Yields each Whisper::Segment.
#
# whisper.on_new_segment do |segment|
# # ...
# end
#
def on_new_segment: { (Segment) -> void } -> void
# Hook called on progress update. Yields each progress Integer between 0 and 100.
#
def on_progress: { (Integer progress) -> void } -> void
# Hook called on encoder starts.
#
def on_encoder_begin: { () -> void } -> void
# Call block to determine whether abort or not. Return +true+ when you want to abort.
#
# params.abort_on do
# if some_condition
# true # abort
# else
# false # continue
# end
# end
#
def abort_on: { (Object user_data) -> boolish } -> void
end
@ -167,16 +384,24 @@ module Whisper
def type: () -> String
class URI
def self.new: (string | ::URI::HTTP) -> self
def self.new: (string | ::URI::HTTP) -> instance
def to_path: -> String
def clear_cache: -> void
end
end
class Segment
# Start time in milliseconds.
#
def start_time: () -> Integer
# End time in milliseconds.
#
def end_time: () -> Integer
# Whether the next segment is predicted as a speaker turn.
def speaker_next_turn?: () -> (true | false)
def text: () -> String
def no_speech_prob: () -> Float
end

View File

@ -6,9 +6,9 @@ class TestBase < Test::Unit::TestCase
AUDIO = File.join(__dir__, "..", "..", "..", "samples", "jfk.wav")
class << self
attr_reader :whisper
def whisper
return @whisper if @whisper
def startup
@whisper = Whisper::Context.new("base.en")
params = Whisper::Params.new
params.print_timestamps = false
@ -21,4 +21,15 @@ class TestBase < Test::Unit::TestCase
def whisper
self.class.whisper
end
module BuildOptions
load "ext/options.rb", self
Options.include self
def enable_config(name)
end
def arg_config(name)
end
end
end

View File

@ -25,7 +25,7 @@ class TestCallback < TestBase
assert start_time >= 0
assert_kind_of Integer, end_time
assert end_time > 0
assert_match /ask not what your country can do for you, ask what you can do for your country/, text if i_segment == 0
assert_match(/ask not what your country can do for you, ask what you can do for your country/, text) if i_segment == 0
end
}
@ -111,6 +111,48 @@ class TestCallback < TestBase
assert_equal 100, last
end
def test_encoder_begin_callback
i = 0
@params.encoder_begin_callback = ->(context, state, user_data) {
i += 1
}
@whisper.transcribe(@audio, @params)
assert i > 0
end
def test_encoder_begin_callback_abort
logs = []
Whisper.log_set -> (level, buffer, user_data) {
logs << buffer if level == Whisper::LOG_LEVEL_ERROR
}, logs
@params.encoder_begin_callback = ->(context, state, user_data) {
return false
}
@whisper.transcribe(@audio, @params)
assert_match(/encoder_begin_callback returned false - aborting/, logs.join)
Whisper.log_set ->(level, buffer, user_data) {}, nil
end
def test_encoder_begin_callback_user_data
udata = Object.new
@params.encoder_begin_callback_user_data = udata
yielded = nil
@params.encoder_begin_callback = ->(context, state, user_data) {
yielded = user_data
}
@whisper.transcribe(@audio, @params)
assert_same udata, yielded
end
def test_on_encoder_begin
i = 0
@params.on_encoder_begin do
i += 1
end
@whisper.transcribe(@audio, @params)
assert i > 0
end
def test_abort_callback
i = 0
@params.abort_callback = ->(user_data) {
@ -145,9 +187,9 @@ class TestCallback < TestBase
def test_abort_on
do_abort = false
aborted_from_callback = false
_aborted_from_callback = false
@params.on_new_segment do |segment|
do_abort = true if segment.text.match? /ask/
do_abort = true if segment.text.match?(/ask/)
end
i = 0
@params.abort_on do

View File

@ -4,7 +4,7 @@ class TestError < TestBase
def test_error
error = Whisper::Error.new(-2)
assert_equal "failed to compute log mel spectrogram", error.message
assert_equal -2, error.code
assert_equal(-2, error.code)
end
def test_unknown_error
@ -14,7 +14,7 @@ class TestError < TestBase
def test_non_int_code
assert_raise TypeError do
error = Whisper::Error.new("non int")
_error = Whisper::Error.new("non int")
end
end
end

View File

@ -21,11 +21,26 @@ class TestPackage < TestBase
match_data = `rake -Tbuild`.match(/(whispercpp-(.+)\.gem)/)
filename = match_data[1]
version = match_data[2]
basename = "whisper.#{RbConfig::CONFIG["DLEXT"]}"
Dir.mktmpdir do |dir|
system "gem", "install", "--install-dir", dir.shellescape, "--no-document", "pkg/#{filename.shellescape}", exception: true
assert_path_exist File.join(dir, "gems/whispercpp-#{version}/lib", basename)
assert_installed dir, version
end
end
private
def assert_installed(dir, version)
assert_path_exist File.join(dir, "gems/whispercpp-#{version}/lib", "whisper.#{RbConfig::CONFIG["DLEXT"]}")
assert_path_exist File.join(dir, "gems/whispercpp-#{version}/LICENSE")
assert_path_not_exist File.join(dir, "gems/whispercpp-#{version}/ext/build")
end
end
def test_build_options
options = BuildOptions::Options.new
assert_empty options.missing_options
unless ENV["CI"]
assert_empty options.extra_options
end
end
end

View File

@ -162,7 +162,7 @@ class TestParams < TestBase
end
def test_length_penalty
assert_equal -1.0, @params.length_penalty
assert_equal(-1.0, @params.length_penalty)
@params.length_penalty = 0.5
assert_equal 0.5, @params.length_penalty
end
@ -180,9 +180,9 @@ class TestParams < TestBase
end
def test_logprob_thold
assert_in_delta -1.0, @params.logprob_thold
assert_in_delta(-1.0, @params.logprob_thold)
@params.logprob_thold = -0.5
assert_in_delta -0.5, @params.logprob_thold
assert_in_delta(-0.5, @params.logprob_thold)
end
def test_no_speech_thold

View File

@ -49,13 +49,13 @@ class TestSegment < TestBase
if index == 0
seg = segment
assert_equal 0, segment.start_time
assert_match /ask not what your country can do for you, ask what you can do for your country/, segment.text
assert_match(/ask not what your country can do for you, ask what you can do for your country/, segment.text)
end
index += 1
end
whisper.transcribe(AUDIO, params)
assert_equal 0, seg.start_time
assert_match /ask not what your country can do for you, ask what you can do for your country/, seg.text
assert_match(/ask not what your country can do for you, ask what you can do for your country/, seg.text)
end
def test_on_new_segment_twice

View File

@ -16,7 +16,7 @@ class TestWhisper < TestBase
params.print_timestamps = false
@whisper.transcribe(AUDIO, params) {|text|
assert_match /ask not what your country can do for you, ask what you can do for your country/, text
assert_match(/ask not what your country can do for you, ask what you can do for your country/, text)
}
end
@ -32,7 +32,7 @@ class TestWhisper < TestBase
def test_full_get_segment
segment = whisper.full_get_segment(0)
assert_equal 0, segment.start_time
assert_match /ask not what your country can do for you, ask what you can do for your country/, segment.text
assert_match(/ask not what your country can do for you, ask what you can do for your country/, segment.text)
end
def test_full_get_segment_t0
@ -59,7 +59,7 @@ class TestWhisper < TestBase
end
def test_full_get_segment_text
assert_match /ask not what your country can do for you, ask what you can do for your country/, whisper.full_get_segment_text(0)
assert_match(/ask not what your country can do for you, ask what you can do for your country/, whisper.full_get_segment_text(0))
end
def test_full_get_segment_no_speech_prob
@ -134,14 +134,14 @@ class TestWhisper < TestBase
@whisper.full(@params, @samples, @samples.length)
assert_equal 1, @whisper.full_n_segments
assert_match /ask not what your country can do for you, ask what you can do for your country/, @whisper.each_segment.first.text
assert_match(/ask not what your country can do for you, ask what you can do for your country/, @whisper.each_segment.first.text)
end
def test_full_without_length
@whisper.full(@params, @samples)
assert_equal 1, @whisper.full_n_segments
assert_match /ask not what your country can do for you, ask what you can do for your country/, @whisper.each_segment.first.text
assert_match(/ask not what your country can do for you, ask what you can do for your country/, @whisper.each_segment.first.text)
end
def test_full_enumerator
@ -149,7 +149,7 @@ class TestWhisper < TestBase
@whisper.full(@params, samples, @samples.length)
assert_equal 1, @whisper.full_n_segments
assert_match /ask not what your country can do for you, ask what you can do for your country/, @whisper.each_segment.first.text
assert_match(/ask not what your country can do for you, ask what you can do for your country/, @whisper.each_segment.first.text)
end
def test_full_enumerator_without_length
@ -171,26 +171,28 @@ class TestWhisper < TestBase
@whisper.full(@params, samples)
assert_equal 1, @whisper.full_n_segments
assert_match /ask not what your country can do for you, ask what you can do for your country/, @whisper.each_segment.first.text
assert_match(/ask not what your country can do for you, ask what you can do for your country/, @whisper.each_segment.first.text)
end
def test_full_parallel
@whisper.full_parallel(@params, @samples, @samples.length, Etc.nprocessors)
nprocessors = 2
@whisper.full_parallel(@params, @samples, @samples.length, nprocessors)
assert_equal Etc.nprocessors, @whisper.full_n_segments
assert_equal nprocessors, @whisper.full_n_segments
text = @whisper.each_segment.collect(&:text).join
assert_match /ask what you can do/i, text
assert_match /for your country/i, text
assert_match(/ask what you can do/i, text)
assert_match(/for your country/i, text)
end
def test_full_parallel_with_memory_view
nprocessors = 2
samples = JFKReader.new(AUDIO)
@whisper.full_parallel(@params, samples, nil, Etc.nprocessors)
@whisper.full_parallel(@params, samples, nil, nprocessors)
assert_equal Etc.nprocessors, @whisper.full_n_segments
assert_equal nprocessors, @whisper.full_n_segments
text = @whisper.each_segment.collect(&:text).join
assert_match /ask what you can do/i, text
assert_match /for your country/i, text
assert_match(/ask what you can do/i, text)
assert_match(/for your country/i, text)
end
def test_full_parallel_without_length_and_n_processors
@ -198,17 +200,18 @@ class TestWhisper < TestBase
assert_equal 1, @whisper.full_n_segments
text = @whisper.each_segment.collect(&:text).join
assert_match /ask what you can do/i, text
assert_match /for your country/i, text
assert_match(/ask what you can do/i, text)
assert_match(/for your country/i, text)
end
def test_full_parallel_without_length
@whisper.full_parallel(@params, @samples, nil, Etc.nprocessors)
nprocessors = 2
@whisper.full_parallel(@params, @samples, nil, nprocessors)
assert_equal Etc.nprocessors, @whisper.full_n_segments
assert_equal nprocessors, @whisper.full_n_segments
text = @whisper.each_segment.collect(&:text).join
assert_match /ask what you can do/i, text
assert_match /for your country/i, text
assert_match(/ask what you can do/i, text)
assert_match(/for your country/i, text)
end
def test_full_parallel_without_n_processors
@ -216,8 +219,8 @@ class TestWhisper < TestBase
assert_equal 1, @whisper.full_n_segments
text = @whisper.each_segment.collect(&:text).join
assert_match /ask what you can do/i, text
assert_match /for your country/i, text
assert_match(/ask what you can do/i, text)
assert_match(/for your country/i, text)
end
end
end

View File

@ -3,8 +3,8 @@ require_relative "extsources"
Gem::Specification.new do |s|
s.name = "whispercpp"
s.authors = ["Georgi Gerganov", "Todd A. Fisher"]
s.version = '1.3.1'
s.date = '2024-12-19'
s.version = '1.3.2'
s.date = '2025-04-25'
s.description = %q{High-performance inference of OpenAI's Whisper automatic speech recognition (ASR) model via Ruby}
s.email = 'todd.fisher@gmail.com'
s.extra_rdoc_files = ['LICENSE', 'README.md']
@ -15,7 +15,8 @@ Gem::Specification.new do |s|
if s.extra_rdoc_files.include?(basename)
basename
else
file.sub("../..", "ext")
file.sub("../..", "ext/sources")
.sub("../javascript", "ext/sources/bindings/javascript")
end
}
@ -26,7 +27,7 @@ Gem::Specification.new do |s|
s.required_ruby_version = '>= 3.1.0'
#### Documentation and testing.
s.homepage = 'https://github.com/ggerganov/whisper.cpp'
s.homepage = 'https://github.com/ggml-org/whisper.cpp'
s.rdoc_options = ['--main', 'README.md']

547
build-xcframework.sh Executable file
View File

@ -0,0 +1,547 @@
#!/bin/bash
#
# Options
IOS_MIN_OS_VERSION=16.4
MACOS_MIN_OS_VERSION=13.3
VISIONOS_MIN_OS_VERSION=1.0
TVOS_MIN_OS_VERSION=16.4
BUILD_SHARED_LIBS=OFF
WHISPER_BUILD_EXAMPLES=OFF
WHISPER_BUILD_TESTS=OFF
WHISPER_BUILD_SERVER=OFF
GGML_METAL=ON
GGML_METAL_EMBED_LIBRARY=ON
GGML_BLAS_DEFAULT=ON
GGML_METAL_USE_BF16=ON
GGML_OPENMP=OFF
COMMON_C_FLAGS="-Wno-macro-redefined -Wno-shorten-64-to-32 -Wno-unused-command-line-argument -g"
COMMON_CXX_FLAGS="-Wno-macro-redefined -Wno-shorten-64-to-32 -Wno-unused-command-line-argument -g"
# Common options for all builds
COMMON_CMAKE_ARGS=(
-DCMAKE_XCODE_ATTRIBUTE_CODE_SIGNING_REQUIRED=NO
-DCMAKE_XCODE_ATTRIBUTE_CODE_SIGN_IDENTITY=""
-DCMAKE_XCODE_ATTRIBUTE_CODE_SIGNING_ALLOWED=NO
-DCMAKE_XCODE_ATTRIBUTE_DEBUG_INFORMATION_FORMAT="dwarf-with-dsym"
-DCMAKE_XCODE_ATTRIBUTE_GCC_GENERATE_DEBUGGING_SYMBOLS=YES
-DCMAKE_XCODE_ATTRIBUTE_COPY_PHASE_STRIP=NO
-DCMAKE_XCODE_ATTRIBUTE_STRIP_INSTALLED_PRODUCT=NO
-DCMAKE_XCODE_ATTRIBUTE_DEVELOPMENT_TEAM=ggml
-DBUILD_SHARED_LIBS=${BUILD_SHARED_LIBS}
-DWHISPER_BUILD_EXAMPLES=${WHISPER_BUILD_EXAMPLES}
-DWHISPER_BUILD_TESTS=${WHISPER_BUILD_TESTS}
-DWHISPER_BUILD_SERVER=${WHISPER_BUILD_SERVER}
-DGGML_METAL_EMBED_LIBRARY=${GGML_METAL_EMBED_LIBRARY}
-DGGML_BLAS_DEFAULT=${GGML_BLAS_DEFAULT}
-DGGML_METAL=${GGML_METAL}
-DGGML_METAL_USE_BF16=${GGML_METAL_USE_BF16}
-DGGML_NATIVE=OFF
-DGGML_OPENMP=${GGML_OPENMP}
)
XCODE_VERSION=$(xcodebuild -version 2>/dev/null | head -n1 | awk '{ print $2 }')
MAJOR_VERSION=$(echo $XCODE_VERSION | cut -d. -f1)
MINOR_VERSION=$(echo $XCODE_VERSION | cut -d. -f2)
echo "Detected Xcode version: $XCODE_VERSION"
check_required_tool() {
local tool=$1
local install_message=$2
if ! command -v $tool &> /dev/null; then
echo "Error: $tool is required but not found."
echo "$install_message"
exit 1
fi
}
echo "Checking for required tools..."
check_required_tool "cmake" "Please install CMake 3.28.0 or later (brew install cmake)"
check_required_tool "xcodebuild" "Please install Xcode and Xcode Command Line Tools (xcode-select --install)"
check_required_tool "libtool" "Please install libtool which should be available with Xcode Command Line Tools (CLT). Make sure Xcode CLT is installed (xcode-select --install)"
check_required_tool "dsymutil" "Please install Xcode and Xcode Command Line Tools (xcode-select --install)"
set -e
## Clean up previous builds
rm -rf build-apple
rm -rf build-ios-sim
rm -rf build-ios-device
rm -rf build-macos
rm -rf build-visionos
rm -rf build-visionos-sim
rm -rf build-tvos-sim
rm -rf build-tvos-device
# Setup the xcframework build directory structure
setup_framework_structure() {
local build_dir=$1
local min_os_version=$2
local platform=$3 # "ios", "macos", "visionos", or "tvos"
local framework_name="whisper"
echo "Creating ${platform}-style framework structure for ${build_dir}"
if [[ "$platform" == "macos" ]]; then
# macOS versioned structure uses versioned directories
mkdir -p ${build_dir}/framework/${framework_name}.framework/Versions/A/Headers
mkdir -p ${build_dir}/framework/${framework_name}.framework/Versions/A/Modules
mkdir -p ${build_dir}/framework/${framework_name}.framework/Versions/A/Resources
# Create symbolic links
ln -sf A ${build_dir}/framework/${framework_name}.framework/Versions/Current
ln -sf Versions/Current/Headers ${build_dir}/framework/${framework_name}.framework/Headers
ln -sf Versions/Current/Modules ${build_dir}/framework/${framework_name}.framework/Modules
ln -sf Versions/Current/Resources ${build_dir}/framework/${framework_name}.framework/Resources
ln -sf Versions/Current/${framework_name} ${build_dir}/framework/${framework_name}.framework/${framework_name}
# Set header and module paths
local header_path=${build_dir}/framework/${framework_name}.framework/Versions/A/Headers/
local module_path=${build_dir}/framework/${framework_name}.framework/Versions/A/Modules/
else
# iOS/VisionOS/tvOS use a flat structure
mkdir -p ${build_dir}/framework/${framework_name}.framework/Headers
mkdir -p ${build_dir}/framework/${framework_name}.framework/Modules
# Remove any existing structure to ensure clean build
rm -rf ${build_dir}/framework/${framework_name}.framework/Versions
# Set header and module paths
local header_path=${build_dir}/framework/${framework_name}.framework/Headers/
local module_path=${build_dir}/framework/${framework_name}.framework/Modules/
fi
# Copy all required headers (common for all platforms)
cp include/whisper.h ${header_path}
cp ggml/include/ggml.h ${header_path}
cp ggml/include/ggml-alloc.h ${header_path}
cp ggml/include/ggml-backend.h ${header_path}
cp ggml/include/ggml-metal.h ${header_path}
cp ggml/include/ggml-cpu.h ${header_path}
cp ggml/include/ggml-blas.h ${header_path}
cp ggml/include/gguf.h ${header_path}
# Create module map (common for all platforms)
cat > ${module_path}module.modulemap << EOF
framework module whisper {
header "whisper.h"
header "ggml.h"
header "ggml-alloc.h"
header "ggml-backend.h"
header "ggml-metal.h"
header "ggml-cpu.h"
header "ggml-blas.h"
header "gguf.h"
link "c++"
link framework "Accelerate"
link framework "Metal"
link framework "Foundation"
export *
}
EOF
# Platform-specific settings for Info.plist
local platform_name=""
local sdk_name=""
local supported_platform=""
case "$platform" in
"ios")
platform_name="iphoneos"
sdk_name="iphoneos${min_os_version}"
supported_platform="iPhoneOS"
local plist_path="${build_dir}/framework/${framework_name}.framework/Info.plist"
local device_family=' <key>UIDeviceFamily</key>
<array>
<integer>1</integer>
<integer>2</integer>
</array>'
;;
"macos")
platform_name="macosx"
sdk_name="macosx${min_os_version}"
supported_platform="MacOSX"
local plist_path="${build_dir}/framework/${framework_name}.framework/Versions/A/Resources/Info.plist"
local device_family=""
;;
"visionos")
platform_name="xros"
sdk_name="xros${min_os_version}"
supported_platform="XRPlatform"
local plist_path="${build_dir}/framework/${framework_name}.framework/Info.plist"
local device_family=""
;;
"tvos")
platform_name="appletvos"
sdk_name="appletvos${min_os_version}"
supported_platform="AppleTVOS"
local plist_path="${build_dir}/framework/${framework_name}.framework/Info.plist"
local device_family=' <key>UIDeviceFamily</key>
<array>
<integer>3</integer>
</array>'
;;
esac
# Create Info.plist
cat > ${plist_path} << EOF
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
<key>CFBundleDevelopmentRegion</key>
<string>en</string>
<key>CFBundleExecutable</key>
<string>whisper</string>
<key>CFBundleIdentifier</key>
<string>org.ggml.whisper</string>
<key>CFBundleInfoDictionaryVersion</key>
<string>6.0</string>
<key>CFBundleName</key>
<string>whisper</string>
<key>CFBundlePackageType</key>
<string>FMWK</string>
<key>CFBundleShortVersionString</key>
<string>1.0</string>
<key>CFBundleVersion</key>
<string>1</string>
<key>MinimumOSVersion</key>
<string>${min_os_version}</string>
<key>CFBundleSupportedPlatforms</key>
<array>
<string>${supported_platform}</string>
</array>${device_family}
<key>DTPlatformName</key>
<string>${platform_name}</string>
<key>DTSDKName</key>
<string>${sdk_name}</string>
</dict>
</plist>
EOF
}
# Create dynamic libraries from static libraries.
combine_static_libraries() {
local build_dir="$1"
local release_dir="$2"
local platform="$3" # "ios", "macos", "visionos", or "tvos"
local is_simulator="$4"
local base_dir="$(pwd)"
local framework_name="whisper"
# Determine output path based on platform
local output_lib=""
if [[ "$platform" == "macos" ]]; then
# macOS uses versioned structure
output_lib="${build_dir}/framework/${framework_name}.framework/Versions/A/${framework_name}"
else
# iOS, visionOS, and tvOS use a directory flat structure
output_lib="${build_dir}/framework/${framework_name}.framework/${framework_name}"
fi
local libs=(
"${base_dir}/${build_dir}/src/${release_dir}/libwhisper.a"
"${base_dir}/${build_dir}/ggml/src/${release_dir}/libggml.a"
"${base_dir}/${build_dir}/ggml/src/${release_dir}/libggml-base.a"
"${base_dir}/${build_dir}/ggml/src/${release_dir}/libggml-cpu.a"
"${base_dir}/${build_dir}/ggml/src/ggml-metal/${release_dir}/libggml-metal.a"
"${base_dir}/${build_dir}/ggml/src/ggml-blas/${release_dir}/libggml-blas.a"
)
if [[ "$platform" == "macos" || "$platform" == "ios" ]]; then
echo "Adding libwhisper.coreml library to the build."
libs+=(
"${base_dir}/${build_dir}/src/${release_dir}/libwhisper.coreml.a"
)
fi
# Create temporary directory for processing
local temp_dir="${base_dir}/${build_dir}/temp"
echo "Creating temporary directory: ${temp_dir}"
mkdir -p "${temp_dir}"
# Since we have multiple architectures libtool will find object files that do not
# match the target architecture. We suppress these warnings.
libtool -static -o "${temp_dir}/combined.a" "${libs[@]}" 2> /dev/null
# Determine SDK, architectures, and install_name based on platform and simulator flag.
local sdk=""
local archs=""
local min_version_flag=""
local install_name=""
local frameworks="-framework Foundation -framework Metal -framework Accelerate"
case "$platform" in
"ios")
if [[ "$is_simulator" == "true" ]]; then
sdk="iphonesimulator"
archs="arm64 x86_64"
min_version_flag="-mios-simulator-version-min=${IOS_MIN_OS_VERSION}"
else
sdk="iphoneos"
archs="arm64"
min_version_flag="-mios-version-min=${IOS_MIN_OS_VERSION}"
fi
install_name="@rpath/whisper.framework/whisper"
frameworks+=" -framework CoreML"
;;
"macos")
sdk="macosx"
archs="arm64 x86_64"
min_version_flag="-mmacosx-version-min=${MACOS_MIN_OS_VERSION}"
install_name="@rpath/whisper.framework/Versions/Current/whisper"
frameworks+=" -framework CoreML"
;;
"visionos")
if [[ "$is_simulator" == "true" ]]; then
sdk="xrsimulator"
archs="arm64 x86_64"
min_version_flag="-mtargetos=xros${VISIONOS_MIN_OS_VERSION}-simulator"
else
sdk="xros"
archs="arm64"
min_version_flag="-mtargetos=xros${VISIONOS_MIN_OS_VERSION}"
fi
# Use flat structure for visionOS, same as iOS
install_name="@rpath/whisper.framework/whisper"
;;
"tvos")
if [[ "$is_simulator" == "true" ]]; then
sdk="appletvsimulator"
archs="arm64 x86_64"
min_version_flag="-mtvos-simulator-version-min=${TVOS_MIN_OS_VERSION}"
else
sdk="appletvos"
archs="arm64"
min_version_flag="-mtvos-version-min=${TVOS_MIN_OS_VERSION}"
fi
install_name="@rpath/whisper.framework/whisper"
;;
esac
# Build architecture flags
local arch_flags=""
for arch in $archs; do
arch_flags+=" -arch $arch"
done
# Create dynamic library
echo "Creating dynamic library for ${platform}."
xcrun -sdk $sdk clang++ -dynamiclib \
-isysroot $(xcrun --sdk $sdk --show-sdk-path) \
$arch_flags \
$min_version_flag \
-Wl,-force_load,"${temp_dir}/combined.a" \
$frameworks \
-install_name "$install_name" \
-o "${base_dir}/${output_lib}"
# Platform-specific post-processing for device builds
if [[ "$is_simulator" == "false" ]]; then
if command -v xcrun vtool &>/dev/null; then
case "$platform" in
"ios")
echo "Marking binary as a framework binary for iOS..."
xcrun vtool -set-build-version ios ${IOS_MIN_OS_VERSION} ${IOS_MIN_OS_VERSION} -replace \
-output "${base_dir}/${output_lib}" "${base_dir}/${output_lib}"
;;
"visionos")
echo "Marking binary as a framework binary for visionOS..."
if [[ "$MAJOR_VERSION" -gt 16 ]] || [[ "$MAJOR_VERSION" -eq 16 && "$MINOR_VERSION" -gt 2 ]]; then
echo "Xcode version greater than 16.2, using visionOS."
VISION_OS_BUILD_VERSION="visionos"
else
echo "Xcode version less than or equal to 16.2, using xros."
VISION_OS_BUILD_VERSION="xros"
fi
xcrun vtool -set-build-version ${VISION_OS_BUILD_VERSION} ${VISIONOS_MIN_OS_VERSION} ${VISIONOS_MIN_OS_VERSION} -replace \
-output "${base_dir}/${output_lib}" "${base_dir}/${output_lib}"
;;
"tvos")
echo "Marking binary as a framework binary for tvOS..."
xcrun vtool -set-build-version tvos ${TVOS_MIN_OS_VERSION} ${TVOS_MIN_OS_VERSION} -replace \
-output "${base_dir}/${output_lib}" "${base_dir}/${output_lib}"
;;
esac
else
echo "Warning: vtool not found. Binary may not pass App Store validation."
fi
fi
echo "Creating properly formatted dSYM..."
# Create a separate directory for dSYMs for all platforms
mkdir -p "${base_dir}/${build_dir}/dSYMs"
# iOS and visionOS style dSYM (flat structure)
if [[ "$platform" == "ios" || "$platform" == "visionos" || "$platform" == "tvos" ]]; then
# Generate dSYM in the dSYMs directory
xcrun dsymutil "${base_dir}/${output_lib}" -o "${base_dir}/${build_dir}/dSYMs/whisper.dSYM"
# Create a copy of the binary that will be stripped
cp "${base_dir}/${output_lib}" "${temp_dir}/binary_to_strip"
# Strip debug symbols from the copy
xcrun strip -S "${temp_dir}/binary_to_strip" -o "${temp_dir}/stripped_lib"
# Replace the original with the stripped version
mv "${temp_dir}/stripped_lib" "${base_dir}/${output_lib}"
else
# macOS style dSYM
# First strip debug info to a separate file
xcrun strip -S "${base_dir}/${output_lib}" -o "${temp_dir}/stripped_lib"
# Generate dSYM in the dSYMs directory
xcrun dsymutil "${base_dir}/${output_lib}" -o "${base_dir}/${build_dir}/dSYMs/whisper.dSYM"
# Replace original binary with stripped version
mv "${temp_dir}/stripped_lib" "${base_dir}/${output_lib}"
fi
# Remove any automatically generated dSYM files in the framework structure as they will
# otherwise case Invalid Bundle Structure validation errors.
if [ -d "${base_dir}/${output_lib}.dSYM" ]; then
echo "Removing generated dSYM file in framework structure: ${base_dir}/${output_lib}.dSYM"
rm -rf "${base_dir}/${output_lib}.dSYM"
fi
# Clean up
rm -rf "${temp_dir}"
}
echo "Building for iOS simulator..."
cmake -B build-ios-sim -G Xcode \
"${COMMON_CMAKE_ARGS[@]}" \
-DCMAKE_OSX_DEPLOYMENT_TARGET=${IOS_MIN_OS_VERSION} \
-DIOS=ON \
-DCMAKE_SYSTEM_NAME=iOS \
-DCMAKE_OSX_SYSROOT=iphonesimulator \
-DCMAKE_OSX_ARCHITECTURES="arm64;x86_64" \
-DCMAKE_XCODE_ATTRIBUTE_SUPPORTED_PLATFORMS=iphonesimulator \
-DCMAKE_C_FLAGS="${COMMON_C_FLAGS}" \
-DCMAKE_CXX_FLAGS="${COMMON_CXX_FLAGS}" \
-DWHISPER_COREML="ON" \
-DWHISPER_COREML_ALLOW_FALLBACK="ON" \
-S .
cmake --build build-ios-sim --config Release -- -quiet
echo "Building for iOS devices..."
cmake -B build-ios-device -G Xcode \
"${COMMON_CMAKE_ARGS[@]}" \
-DCMAKE_OSX_DEPLOYMENT_TARGET=${IOS_MIN_OS_VERSION} \
-DCMAKE_OSX_SYSROOT=iphoneos \
-DCMAKE_OSX_ARCHITECTURES="arm64" \
-DCMAKE_XCODE_ATTRIBUTE_SUPPORTED_PLATFORMS=iphoneos \
-DCMAKE_C_FLAGS="${COMMON_C_FLAGS}" \
-DCMAKE_CXX_FLAGS="${COMMON_CXX_FLAGS}" \
-DWHISPER_COREML="ON" \
-DWHISPER_COREML_ALLOW_FALLBACK="ON" \
-S .
cmake --build build-ios-device --config Release -- -quiet
echo "Building for macOS..."
cmake -B build-macos -G Xcode \
"${COMMON_CMAKE_ARGS[@]}" \
-DCMAKE_OSX_DEPLOYMENT_TARGET=${MACOS_MIN_OS_VERSION} \
-DCMAKE_OSX_ARCHITECTURES="arm64;x86_64" \
-DCMAKE_C_FLAGS="${COMMON_C_FLAGS}" \
-DCMAKE_CXX_FLAGS="${COMMON_CXX_FLAGS}" \
-DWHISPER_COREML="ON" \
-DWHISPER_COREML_ALLOW_FALLBACK="ON" \
-S .
cmake --build build-macos --config Release -- -quiet
echo "Building for visionOS..."
cmake -B build-visionos -G Xcode \
"${COMMON_CMAKE_ARGS[@]}" \
-DCMAKE_OSX_DEPLOYMENT_TARGET=${VISIONOS_MIN_OS_VERSION} \
-DCMAKE_OSX_ARCHITECTURES="arm64" \
-DCMAKE_SYSTEM_NAME=visionOS \
-DCMAKE_OSX_SYSROOT=xros \
-DCMAKE_XCODE_ATTRIBUTE_SUPPORTED_PLATFORMS=xros \
-DCMAKE_C_FLAGS="-D_XOPEN_SOURCE=700 ${COMMON_C_FLAGS}" \
-DCMAKE_CXX_FLAGS="-D_XOPEN_SOURCE=700 ${COMMON_CXX_FLAGS}" \
-S .
cmake --build build-visionos --config Release -- -quiet
echo "Building for visionOS simulator..."
cmake -B build-visionos-sim -G Xcode \
"${COMMON_CMAKE_ARGS[@]}" \
-DCMAKE_OSX_DEPLOYMENT_TARGET=${VISIONOS_MIN_OS_VERSION} \
-DCMAKE_OSX_ARCHITECTURES="arm64;x86_64" \
-DCMAKE_SYSTEM_NAME=visionOS \
-DCMAKE_OSX_SYSROOT=xrsimulator \
-DCMAKE_XCODE_ATTRIBUTE_SUPPORTED_PLATFORMS=xrsimulator \
-DCMAKE_C_FLAGS="-D_XOPEN_SOURCE=700 ${COMMON_C_FLAGS}" \
-DCMAKE_CXX_FLAGS="-D_XOPEN_SOURCE=700 ${COMMON_CXX_FLAGS}" \
-S .
cmake --build build-visionos-sim --config Release -- -quiet
# Add tvOS builds (might need the same u_int definitions as watchOS and visionOS)
echo "Building for tvOS simulator..."
cmake -B build-tvos-sim -G Xcode \
"${COMMON_CMAKE_ARGS[@]}" \
-DCMAKE_OSX_DEPLOYMENT_TARGET=${TVOS_MIN_OS_VERSION} \
-DCMAKE_SYSTEM_NAME=tvOS \
-DCMAKE_OSX_SYSROOT=appletvsimulator \
-DCMAKE_OSX_ARCHITECTURES="arm64;x86_64" \
-DGGML_METAL=ON \
-DCMAKE_XCODE_ATTRIBUTE_SUPPORTED_PLATFORMS=appletvsimulator \
-DCMAKE_C_FLAGS="${COMMON_C_FLAGS}" \
-DCMAKE_CXX_FLAGS="${COMMON_CXX_FLAGS}" \
-S .
cmake --build build-tvos-sim --config Release -- -quiet
echo "Building for tvOS devices..."
cmake -B build-tvos-device -G Xcode \
"${COMMON_CMAKE_ARGS[@]}" \
-DCMAKE_OSX_DEPLOYMENT_TARGET=${TVOS_MIN_OS_VERSION} \
-DCMAKE_SYSTEM_NAME=tvOS \
-DCMAKE_OSX_SYSROOT=appletvos \
-DCMAKE_OSX_ARCHITECTURES="arm64" \
-DGGML_METAL=ON \
-DCMAKE_XCODE_ATTRIBUTE_SUPPORTED_PLATFORMS=appletvos \
-DCMAKE_C_FLAGS="${COMMON_C_FLAGS}" \
-DCMAKE_CXX_FLAGS="${COMMON_CXX_FLAGS}" \
-S .
cmake --build build-tvos-device --config Release -- -quiet
# Setup frameworks and copy binaries and headers
echo "Setting up framework structures..."
setup_framework_structure "build-ios-sim" ${IOS_MIN_OS_VERSION} "ios"
setup_framework_structure "build-ios-device" ${IOS_MIN_OS_VERSION} "ios"
setup_framework_structure "build-macos" ${MACOS_MIN_OS_VERSION} "macos"
setup_framework_structure "build-visionos" ${VISIONOS_MIN_OS_VERSION} "visionos"
setup_framework_structure "build-visionos-sim" ${VISIONOS_MIN_OS_VERSION} "visionos"
setup_framework_structure "build-tvos-sim" ${TVOS_MIN_OS_VERSION} "tvos"
setup_framework_structure "build-tvos-device" ${TVOS_MIN_OS_VERSION} "tvos"
# Create dynamic libraries from static libraries
echo "Creating dynamic libraries from static libraries..."
combine_static_libraries "build-ios-sim" "Release-iphonesimulator" "ios" "true"
combine_static_libraries "build-ios-device" "Release-iphoneos" "ios" "false"
combine_static_libraries "build-macos" "Release" "macos" "false"
combine_static_libraries "build-visionos" "Release-xros" "visionos" "false"
combine_static_libraries "build-visionos-sim" "Release-xrsimulator" "visionos" "true"
combine_static_libraries "build-tvos-sim" "Release-appletvsimulator" "tvos" "true"
combine_static_libraries "build-tvos-device" "Release-appletvos" "tvos" "false"
# Create XCFramework with correct debug symbols paths
echo "Creating XCFramework..."
xcodebuild -create-xcframework \
-framework $(pwd)/build-ios-sim/framework/whisper.framework \
-debug-symbols $(pwd)/build-ios-sim/dSYMs/whisper.dSYM \
-framework $(pwd)/build-ios-device/framework/whisper.framework \
-debug-symbols $(pwd)/build-ios-device/dSYMs/whisper.dSYM \
-framework $(pwd)/build-macos/framework/whisper.framework \
-debug-symbols $(pwd)/build-macos/dSYMS/whisper.dSYM \
-framework $(pwd)/build-visionos/framework/whisper.framework \
-debug-symbols $(pwd)/build-visionos/dSYMs/whisper.dSYM \
-framework $(pwd)/build-visionos-sim/framework/whisper.framework \
-debug-symbols $(pwd)/build-visionos-sim/dSYMs/whisper.dSYM \
-framework $(pwd)/build-tvos-device/framework/whisper.framework \
-debug-symbols $(pwd)/build-tvos-device/dSYMs/whisper.dSYM \
-framework $(pwd)/build-tvos-sim/framework/whisper.framework \
-debug-symbols $(pwd)/build-tvos-sim/dSYMs/whisper.dSYM \
-output $(pwd)/build-apple/whisper.xcframework

41
ci/README.md Normal file
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@ -0,0 +1,41 @@
# CI
In addition to [Github Actions](https://github.com/ggerganov/whisper.cpp/actions) `whisper.cpp` uses a custom CI framework:
https://github.com/ggml-org/ci
It monitors the `master` branch for new commits and runs the
[ci/run.sh](https://github.com/ggerganov/whisper.cpp/blob/master/ci/run.sh) script on dedicated cloud instances. This allows us
to execute heavier workloads compared to just using Github Actions. Also with time, the cloud instances will be scaled
to cover various hardware architectures, including GPU and Apple Silicon instances.
Collaborators can optionally trigger the CI run by adding the `ggml-ci` keyword to their commit message.
Only the branches of this repo are monitored for this keyword.
It is a good practice, before publishing changes to execute the full CI locally on your machine:
```bash
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
```
## Environment Variables
The CI script supports several environment variables to control the build:
| Variable | Description |
|----------|-------------|
| `GG_BUILD_CUDA` | Enable NVIDIA CUDA GPU acceleration |
| `GG_BUILD_SYCL` | Enable Intel SYCL acceleration |
| `GG_BUILD_VULKAN` | Enable Vulkan GPU acceleration |
| `GG_BUILD_METAL` | Enable Metal acceleration on Apple Silicon |
| `GG_BUILD_BLAS` | Enable BLAS CPU acceleration |
| `GG_BUILD_OPENVINO` | Enable OpenVINO support |
| `GG_BUILD_COREML` | Enable Core ML support for Apple Neural Engine |
| `GG_BUILD_LOW_PERF` | Limit tests for low-performance hardware |
| `GG_BUILD_TEST_MODELS` | Comma-separated list of models to test (e.g. "tiny.en,tiny,base,medium", defaults to all models unless `GG_BUILD_LOW_PERF` is set) |

336
ci/run.sh Normal file
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#!/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 "$2")
rm -f "$OUT/*.log"
rm -f "$OUT/*.exit"
rm -f "$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 [ ! -z ${GG_BUILD_CUDA} ]; then
CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_CUDA=ON -DCMAKE_CUDA_ARCHITECTURES=native"
fi
if [ ! -z ${GG_BUILD_SYCL} ]; then
if [ -z ${ONEAPI_ROOT} ]; then
echo "Not detected ONEAPI_ROOT, please install oneAPI base toolkit and enable it by:"
echo "source /opt/intel/oneapi/setvars.sh"
exit 1
fi
CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DGGML_SYCL_F16=ON"
fi
if [ ! -z ${GG_BUILD_OPENVINO} ]; then
CMAKE_EXTRA="${CMAKE_EXTRA} -DWHISPER_OPENVINO=ON"
fi
if [ ! -z ${GG_BUILD_METAL} ]; then
CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_METAL=ON"
fi
if [ ! -z ${GG_BUILD_VULKAN} ]; then
CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_VULKAN=ON"
fi
if [ ! -z ${GG_BUILD_BLAS} ]; then
CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_BLAS=ON"
fi
if [ ! -z ${GG_BUILD_COREML} ]; then
CMAKE_EXTRA="${CMAKE_EXTRA} -DWHISPER_COREML=ON"
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 "$MNT/models"
bash "$cwd/models/download-ggml-model.sh" ${model_name} .
cd "$cwd"
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 ${SRC}
# set flash attention flag if enabled
fattn=""
if [ "$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
# 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
fi
done
}
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
if [ -z ${GG_BUILD_SYCL}]; then
test $ret -eq 0 && gg_run ctest debug
fi
test $ret -eq 0 && gg_run ctest release
test $ret -eq 0 && gg_run bench
exit $ret

View File

@ -14,10 +14,6 @@ if (WHISPER_SDL2)
message(STATUS "SDL2_LIBRARIES = ${SDL2_LIBRARIES}")
endif()
if (WHISPER_CLBLAST)
find_package(CLBlast REQUIRED)
endif()
# common
set(TARGET common)
@ -56,6 +52,8 @@ add_library(${TARGET} STATIC
common.cpp
common-ggml.h
common-ggml.cpp
common-whisper.h
common-whisper.cpp
grammar-parser.h
grammar-parser.cpp
${COMMON_SOURCES_FFMPEG}
@ -63,7 +61,7 @@ add_library(${TARGET} STATIC
include(DefaultTargetOptions)
target_link_libraries(${TARGET} PRIVATE whisper ${COMMON_EXTRA_LIBS})
target_link_libraries(${TARGET} PRIVATE whisper ${COMMON_EXTRA_LIBS} ${CMAKE_DL_LIBS})
set_target_properties(${TARGET} PROPERTIES POSITION_INDEPENDENT_CODE ON)
set_target_properties(${TARGET} PROPERTIES FOLDER "libs")

View File

@ -18,6 +18,13 @@ const whisperParamsMock = {
translate: true,
no_timestamps: false,
audio_ctx: 0,
max_len: 0,
prompt: "",
print_progress: false,
progress_callback: (progress) => {
console.log(`Progress: ${progress}`);
},
max_context: -1
};
describe("Run whisper.node", () => {

View File

@ -1,5 +1,6 @@
#include "napi.h"
#include "common.h"
#include "common-whisper.h"
#include "whisper.h"
@ -127,192 +128,227 @@ void whisper_print_segment_callback(struct whisper_context * ctx, struct whisper
void cb_log_disable(enum ggml_log_level, const char *, void *) {}
int run(whisper_params &params, std::vector<std::vector<std::string>> &result) {
if (params.no_prints) {
whisper_log_set(cb_log_disable, NULL);
}
if (params.fname_inp.empty() && params.pcmf32.empty()) {
fprintf(stderr, "error: no input files or audio buffer specified\n");
return 2;
}
if (params.language != "auto" && whisper_lang_id(params.language.c_str()) == -1) {
fprintf(stderr, "error: unknown language '%s'\n", params.language.c_str());
exit(0);
}
// whisper init
struct whisper_context_params cparams = whisper_context_default_params();
cparams.use_gpu = params.use_gpu;
cparams.flash_attn = params.flash_attn;
struct whisper_context * ctx = whisper_init_from_file_with_params(params.model.c_str(), cparams);
if (ctx == nullptr) {
fprintf(stderr, "error: failed to initialize whisper context\n");
return 3;
}
// if params.pcmf32 is provided, set params.fname_inp to "buffer"
// this is simpler than further modifications in the code
if (!params.pcmf32.empty()) {
fprintf(stderr, "info: using audio buffer as input\n");
params.fname_inp.clear();
params.fname_inp.emplace_back("buffer");
}
for (int f = 0; f < (int) params.fname_inp.size(); ++f) {
const auto fname_inp = params.fname_inp[f];
const auto fname_out = f < (int)params.fname_out.size() && !params.fname_out[f].empty() ? params.fname_out[f] : params.fname_inp[f];
std::vector<float> pcmf32; // mono-channel F32 PCM
std::vector<std::vector<float>> pcmf32s; // stereo-channel F32 PCM
// read the input audio file if params.pcmf32 is not provided
if (params.pcmf32.empty()) {
if (!::read_wav(fname_inp, pcmf32, pcmf32s, params.diarize)) {
fprintf(stderr, "error: failed to read WAV file '%s'\n", fname_inp.c_str());
continue;
}
} else {
pcmf32 = params.pcmf32;
}
// print system information
if (!params.no_prints) {
fprintf(stderr, "\n");
fprintf(stderr, "system_info: n_threads = %d / %d | %s\n",
params.n_threads*params.n_processors, std::thread::hardware_concurrency(), whisper_print_system_info());
}
// print some info about the processing
if (!params.no_prints) {
fprintf(stderr, "\n");
if (!whisper_is_multilingual(ctx)) {
if (params.language != "en" || params.translate) {
params.language = "en";
params.translate = false;
fprintf(stderr, "%s: WARNING: model is not multilingual, ignoring language and translation options\n", __func__);
}
}
fprintf(stderr, "%s: processing '%s' (%d samples, %.1f sec), %d threads, %d processors, lang = %s, task = %s, timestamps = %d, audio_ctx = %d ...\n",
__func__, fname_inp.c_str(), int(pcmf32.size()), float(pcmf32.size())/WHISPER_SAMPLE_RATE,
params.n_threads, params.n_processors,
params.language.c_str(),
params.translate ? "translate" : "transcribe",
params.no_timestamps ? 0 : 1,
params.audio_ctx);
fprintf(stderr, "\n");
}
// run the inference
{
whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
wparams.strategy = params.beam_size > 1 ? WHISPER_SAMPLING_BEAM_SEARCH : WHISPER_SAMPLING_GREEDY;
wparams.print_realtime = false;
wparams.print_progress = params.print_progress;
wparams.print_timestamps = !params.no_timestamps;
wparams.print_special = params.print_special;
wparams.translate = params.translate;
wparams.language = params.language.c_str();
wparams.n_threads = params.n_threads;
wparams.n_max_text_ctx = params.max_context >= 0 ? params.max_context : wparams.n_max_text_ctx;
wparams.offset_ms = params.offset_t_ms;
wparams.duration_ms = params.duration_ms;
wparams.token_timestamps = params.output_wts || params.max_len > 0;
wparams.thold_pt = params.word_thold;
wparams.entropy_thold = params.entropy_thold;
wparams.logprob_thold = params.logprob_thold;
wparams.max_len = params.output_wts && params.max_len == 0 ? 60 : params.max_len;
wparams.audio_ctx = params.audio_ctx;
wparams.greedy.best_of = params.best_of;
wparams.beam_search.beam_size = params.beam_size;
wparams.initial_prompt = params.prompt.c_str();
wparams.no_timestamps = params.no_timestamps;
whisper_print_user_data user_data = { &params, &pcmf32s };
// this callback is called on each new segment
if (!wparams.print_realtime) {
wparams.new_segment_callback = whisper_print_segment_callback;
wparams.new_segment_callback_user_data = &user_data;
}
// example for abort mechanism
// in this example, we do not abort the processing, but we could if the flag is set to true
// the callback is called before every encoder run - if it returns false, the processing is aborted
{
static bool is_aborted = false; // NOTE: this should be atomic to avoid data race
wparams.encoder_begin_callback = [](struct whisper_context * /*ctx*/, struct whisper_state * /*state*/, void * user_data) {
bool is_aborted = *(bool*)user_data;
return !is_aborted;
};
wparams.encoder_begin_callback_user_data = &is_aborted;
}
if (whisper_full_parallel(ctx, wparams, pcmf32.data(), pcmf32.size(), params.n_processors) != 0) {
fprintf(stderr, "failed to process audio\n");
return 10;
}
}
}
const int n_segments = whisper_full_n_segments(ctx);
result.resize(n_segments);
for (int i = 0; i < n_segments; ++i) {
const char * text = whisper_full_get_segment_text(ctx, i);
const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
result[i].emplace_back(to_timestamp(t0, params.comma_in_time));
result[i].emplace_back(to_timestamp(t1, params.comma_in_time));
result[i].emplace_back(text);
}
whisper_print_timings(ctx);
whisper_free(ctx);
return 0;
}
class Worker : public Napi::AsyncWorker {
class ProgressWorker : public Napi::AsyncWorker {
public:
Worker(Napi::Function& callback, whisper_params params)
: Napi::AsyncWorker(callback), params(params) {}
void Execute() override {
run(params, result);
}
void OnOK() override {
Napi::HandleScope scope(Env());
Napi::Object res = Napi::Array::New(Env(), result.size());
for (uint64_t i = 0; i < result.size(); ++i) {
Napi::Object tmp = Napi::Array::New(Env(), 3);
for (uint64_t j = 0; j < 3; ++j) {
tmp[j] = Napi::String::New(Env(), result[i][j]);
}
res[i] = tmp;
ProgressWorker(Napi::Function& callback, whisper_params params, Napi::Function progress_callback, Napi::Env env)
: Napi::AsyncWorker(callback), params(params), env(env) {
// Create thread-safe function
if (!progress_callback.IsEmpty()) {
tsfn = Napi::ThreadSafeFunction::New(
env,
progress_callback,
"Progress Callback",
0,
1
);
}
}
~ProgressWorker() {
if (tsfn) {
// Make sure to release the thread-safe function on destruction
tsfn.Release();
}
}
void Execute() override {
// Use custom run function with progress callback support
run_with_progress(params, result);
}
void OnOK() override {
Napi::HandleScope scope(Env());
Napi::Object res = Napi::Array::New(Env(), result.size());
for (uint64_t i = 0; i < result.size(); ++i) {
Napi::Object tmp = Napi::Array::New(Env(), 3);
for (uint64_t j = 0; j < 3; ++j) {
tmp[j] = Napi::String::New(Env(), result[i][j]);
}
res[i] = tmp;
}
Callback().Call({Env().Null(), res});
}
// Progress callback function - using thread-safe function
void OnProgress(int progress) {
if (tsfn) {
// Use thread-safe function to call JavaScript callback
auto callback = [progress](Napi::Env env, Napi::Function jsCallback) {
jsCallback.Call({Napi::Number::New(env, progress)});
};
tsfn.BlockingCall(callback);
}
}
Callback().Call({Env().Null(), res});
}
private:
whisper_params params;
std::vector<std::vector<std::string>> result;
whisper_params params;
std::vector<std::vector<std::string>> result;
Napi::Env env;
Napi::ThreadSafeFunction tsfn;
// Custom run function with progress callback support
int run_with_progress(whisper_params &params, std::vector<std::vector<std::string>> &result) {
if (params.no_prints) {
whisper_log_set(cb_log_disable, NULL);
}
if (params.fname_inp.empty() && params.pcmf32.empty()) {
fprintf(stderr, "error: no input files or audio buffer specified\n");
return 2;
}
if (params.language != "auto" && whisper_lang_id(params.language.c_str()) == -1) {
fprintf(stderr, "error: unknown language '%s'\n", params.language.c_str());
exit(0);
}
// whisper init
struct whisper_context_params cparams = whisper_context_default_params();
cparams.use_gpu = params.use_gpu;
cparams.flash_attn = params.flash_attn;
struct whisper_context * ctx = whisper_init_from_file_with_params(params.model.c_str(), cparams);
if (ctx == nullptr) {
fprintf(stderr, "error: failed to initialize whisper context\n");
return 3;
}
// If params.pcmf32 provides, set params.fname_inp as "buffer"
if (!params.pcmf32.empty()) {
fprintf(stderr, "info: using audio buffer as input\n");
params.fname_inp.clear();
params.fname_inp.emplace_back("buffer");
}
for (int f = 0; f < (int) params.fname_inp.size(); ++f) {
const auto fname_inp = params.fname_inp[f];
const auto fname_out = f < (int)params.fname_out.size() && !params.fname_out[f].empty() ? params.fname_out[f] : params.fname_inp[f];
std::vector<float> pcmf32; // mono-channel F32 PCM
std::vector<std::vector<float>> pcmf32s; // stereo-channel F32 PCM
// If params.pcmf32 is empty, read input audio file
if (params.pcmf32.empty()) {
if (!::read_audio_data(fname_inp, pcmf32, pcmf32s, params.diarize)) {
fprintf(stderr, "error: failed to read audio file '%s'\n", fname_inp.c_str());
continue;
}
} else {
pcmf32 = params.pcmf32;
}
// Print system info
if (!params.no_prints) {
fprintf(stderr, "\n");
fprintf(stderr, "system_info: n_threads = %d / %d | %s\n",
params.n_threads*params.n_processors, std::thread::hardware_concurrency(), whisper_print_system_info());
}
// Print processing info
if (!params.no_prints) {
fprintf(stderr, "\n");
if (!whisper_is_multilingual(ctx)) {
if (params.language != "en" || params.translate) {
params.language = "en";
params.translate = false;
fprintf(stderr, "%s: WARNING: model is not multilingual, ignoring language and translation options\n", __func__);
}
}
fprintf(stderr, "%s: processing '%s' (%d samples, %.1f sec), %d threads, %d processors, lang = %s, task = %s, timestamps = %d, audio_ctx = %d ...\n",
__func__, fname_inp.c_str(), int(pcmf32.size()), float(pcmf32.size())/WHISPER_SAMPLE_RATE,
params.n_threads, params.n_processors,
params.language.c_str(),
params.translate ? "translate" : "transcribe",
params.no_timestamps ? 0 : 1,
params.audio_ctx);
fprintf(stderr, "\n");
}
// Run inference
{
whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
wparams.strategy = params.beam_size > 1 ? WHISPER_SAMPLING_BEAM_SEARCH : WHISPER_SAMPLING_GREEDY;
wparams.print_realtime = false;
wparams.print_progress = params.print_progress;
wparams.print_timestamps = !params.no_timestamps;
wparams.print_special = params.print_special;
wparams.translate = params.translate;
wparams.language = params.language.c_str();
wparams.n_threads = params.n_threads;
wparams.n_max_text_ctx = params.max_context >= 0 ? params.max_context : wparams.n_max_text_ctx;
wparams.offset_ms = params.offset_t_ms;
wparams.duration_ms = params.duration_ms;
wparams.token_timestamps = params.output_wts || params.max_len > 0;
wparams.thold_pt = params.word_thold;
wparams.entropy_thold = params.entropy_thold;
wparams.logprob_thold = params.logprob_thold;
wparams.max_len = params.output_wts && params.max_len == 0 ? 60 : params.max_len;
wparams.audio_ctx = params.audio_ctx;
wparams.greedy.best_of = params.best_of;
wparams.beam_search.beam_size = params.beam_size;
wparams.initial_prompt = params.prompt.c_str();
wparams.no_timestamps = params.no_timestamps;
whisper_print_user_data user_data = { &params, &pcmf32s };
// This callback is called for each new segment
if (!wparams.print_realtime) {
wparams.new_segment_callback = whisper_print_segment_callback;
wparams.new_segment_callback_user_data = &user_data;
}
// Set progress callback
wparams.progress_callback = [](struct whisper_context * /*ctx*/, struct whisper_state * /*state*/, int progress, void * user_data) {
ProgressWorker* worker = static_cast<ProgressWorker*>(user_data);
worker->OnProgress(progress);
};
wparams.progress_callback_user_data = this;
// Abort mechanism example
{
static bool is_aborted = false; // Note: this should be atomic to avoid data races
wparams.encoder_begin_callback = [](struct whisper_context * /*ctx*/, struct whisper_state * /*state*/, void * user_data) {
bool is_aborted = *(bool*)user_data;
return !is_aborted;
};
wparams.encoder_begin_callback_user_data = &is_aborted;
}
if (whisper_full_parallel(ctx, wparams, pcmf32.data(), pcmf32.size(), params.n_processors) != 0) {
fprintf(stderr, "failed to process audio\n");
return 10;
}
}
}
const int n_segments = whisper_full_n_segments(ctx);
result.resize(n_segments);
for (int i = 0; i < n_segments; ++i) {
const char * text = whisper_full_get_segment_text(ctx, i);
const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
result[i].emplace_back(to_timestamp(t0, params.comma_in_time));
result[i].emplace_back(to_timestamp(t1, params.comma_in_time));
result[i].emplace_back(text);
}
whisper_print_timings(ctx);
whisper_free(ctx);
return 0;
}
};
Napi::Value whisper(const Napi::CallbackInfo& info) {
Napi::Env env = info.Env();
if (info.Length() <= 0 || !info[0].IsObject()) {
@ -331,6 +367,29 @@ Napi::Value whisper(const Napi::CallbackInfo& info) {
int32_t audio_ctx = whisper_params.Get("audio_ctx").As<Napi::Number>();
bool comma_in_time = whisper_params.Get("comma_in_time").As<Napi::Boolean>();
int32_t max_len = whisper_params.Get("max_len").As<Napi::Number>();
// Add support for max_context
int32_t max_context = -1;
if (whisper_params.Has("max_context") && whisper_params.Get("max_context").IsNumber()) {
max_context = whisper_params.Get("max_context").As<Napi::Number>();
}
// support prompt
std::string prompt = "";
if (whisper_params.Has("prompt") && whisper_params.Get("prompt").IsString()) {
prompt = whisper_params.Get("prompt").As<Napi::String>();
}
// Add support for print_progress
bool print_progress = false;
if (whisper_params.Has("print_progress")) {
print_progress = whisper_params.Get("print_progress").As<Napi::Boolean>();
}
// Add support for progress_callback
Napi::Function progress_callback;
if (whisper_params.Has("progress_callback") && whisper_params.Get("progress_callback").IsFunction()) {
progress_callback = whisper_params.Get("progress_callback").As<Napi::Function>();
}
Napi::Value pcmf32Value = whisper_params.Get("pcmf32");
std::vector<float> pcmf32_vec;
@ -354,9 +413,13 @@ Napi::Value whisper(const Napi::CallbackInfo& info) {
params.pcmf32 = pcmf32_vec;
params.comma_in_time = comma_in_time;
params.max_len = max_len;
params.max_context = max_context;
params.print_progress = print_progress;
params.prompt = prompt;
Napi::Function callback = info[1].As<Napi::Function>();
Worker* worker = new Worker(callback, params);
// Create a new Worker class with progress callback support
ProgressWorker* worker = new ProgressWorker(callback, params, progress_callback, env);
worker->Queue();
return env.Undefined();
}

View File

@ -19,6 +19,9 @@ const whisperParams = {
no_timestamps: false,
audio_ctx: 0,
max_len: 0,
progress_callback: (progress) => {
console.log(`progress: ${progress}%`);
}
};
const arguments = process.argv.slice(2);

View File

@ -2,7 +2,7 @@
Benchmark the performance of whisper.cpp in the browser using WebAssembly
Link: https://whisper.ggerganov.com/bench/
Link: https://ggerganov.github.io/whisper.cpp/bench.wasm
Terminal version: [examples/bench](/examples/bench)
@ -15,7 +15,17 @@ cd whisper.cpp
mkdir build-em && cd build-em
emcmake cmake ..
make -j
```
The example can then be started by running a local HTTP server:
```console
python3 examples/server.py
```
And then opening a browser to the following URL:
http://localhost:8000/bench.wasm
To run the example in a different server, you need to copy the following files
to the server's HTTP path:
```
# copy the produced page to your HTTP path
cp bin/bench.wasm/* /path/to/html/
cp bin/libbench.worker.js /path/to/html/

View File

@ -24,6 +24,8 @@
overflow-x: scroll;
}
</style>
<script src="../coi-serviceworker.js"></script>
<link rel="icon" href="data:,">
</head>
<body>
<div id="main-container">
@ -36,11 +38,10 @@
<br><br>
<b>More examples:</b>
<a href="https://whisper.ggerganov.com/">main</a> |
<a href="https://whisper.ggerganov.com/bench">bench</a> |
<a href="https://whisper.ggerganov.com/stream">stream</a> |
<a href="https://whisper.ggerganov.com/command">command</a> |
<a href="https://whisper.ggerganov.com/talk">talk</a> |
<a href="../">main</a> |
<a href="../bench.wasm/">bench</a> |
<a href="../stream.wasm">stream</a> |
<a href="../command.wasm/">command</a> |
<br><br>

View File

@ -4,7 +4,7 @@ A very basic tool for benchmarking the inference performance on your device. The
the transformer on some random audio data and records the execution time. This way we can have an objective comparison
of the performance of the model for various setups.
Benchmark results are tracked in the following Github issue: https://github.com/ggerganov/whisper.cpp/issues/89
Benchmark results are tracked in the following Github issue: https://github.com/ggml-org/whisper.cpp/issues/89
```bash
# run the bench too on the small.en model using 4 threads
@ -40,7 +40,7 @@ system_info: n_threads = 4 | AVX2 = 0 | AVX512 = 0 | NEON = 1 | FP16_VA = 1 | WA
If you wish, you can submit these results here:
https://github.com/ggerganov/whisper.cpp/issues/89
https://github.com/ggml-org/whisper.cpp/issues/89
Please include the following information:

View File

@ -50,11 +50,11 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
fprintf(stderr, " -t N, --threads N [%-7d] number of threads to use during computation\n", params.n_threads);
fprintf(stderr, " -m FNAME, --model FNAME [%-7s] model path\n", params.model.c_str());
fprintf(stderr, " -w N, --what N [%-7d] what to benchmark:\n", params.what);
fprintf(stderr, " -ng, --no-gpu [%-7s] disable GPU\n", params.use_gpu ? "false" : "true");
fprintf(stderr, " -fa, --flash-attn [%-7s] enable flash attention\n", params.flash_attn ? "true" : "false");
fprintf(stderr, " %-7s 0 - whisper\n", "");
fprintf(stderr, " %-7s 1 - memcpy\n", "");
fprintf(stderr, " %-7s 2 - ggml_mul_mat\n", "");
fprintf(stderr, " -ng, --no-gpu [%-7s] disable GPU\n", params.use_gpu ? "false" : "true");
fprintf(stderr, " -fa, --flash-attn [%-7s] enable flash attention\n", params.flash_attn ? "true" : "false");
fprintf(stderr, "\n");
}

View File

@ -1,4 +1,5 @@
#include "common.h"
#include "common-whisper.h"
#include "whisper.h"
#include "grammar-parser.h"
@ -6,14 +7,15 @@
#include <cmath>
#include <fstream>
#include <cstdio>
#include <regex>
#include <string>
#include <thread>
#include <vector>
#include <cstring>
#if defined(_WIN32)
#ifndef NOMINMAX
#define NOMINMAX
#endif
#include <windows.h>
#endif
@ -199,7 +201,8 @@ static bool whisper_params_parse(int argc, char ** argv, whisper_params & params
static void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & params) {
fprintf(stderr, "\n");
fprintf(stderr, "usage: %s [options] file0.wav file1.wav ...\n", argv[0]);
fprintf(stderr, "usage: %s [options] file0 file1 ...\n", argv[0]);
fprintf(stderr, "supported audio formats: flac, mp3, ogg, wav\n");
fprintf(stderr, "\n");
fprintf(stderr, "options:\n");
fprintf(stderr, " -h, --help [default] show this help message and exit\n");
@ -244,7 +247,7 @@ static void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params
fprintf(stderr, " -dl, --detect-language [%-7s] exit after automatically detecting language\n", params.detect_language ? "true" : "false");
fprintf(stderr, " --prompt PROMPT [%-7s] initial prompt (max n_text_ctx/2 tokens)\n", params.prompt.c_str());
fprintf(stderr, " -m FNAME, --model FNAME [%-7s] model path\n", params.model.c_str());
fprintf(stderr, " -f FNAME, --file FNAME [%-7s] input WAV file path\n", "");
fprintf(stderr, " -f FNAME, --file FNAME [%-7s] input audio file path\n", "");
fprintf(stderr, " -oved D, --ov-e-device DNAME [%-7s] the OpenVINO device used for encode inference\n", params.openvino_encode_device.c_str());
fprintf(stderr, " -dtw MODEL --dtw MODEL [%-7s] compute token-level timestamps\n", params.dtw.c_str());
fprintf(stderr, " -ls, --log-score [%-7s] log best decoder scores of tokens\n", params.log_score?"true":"false");
@ -1069,8 +1072,8 @@ int main(int argc, char ** argv) {
std::vector<float> pcmf32; // mono-channel F32 PCM
std::vector<std::vector<float>> pcmf32s; // stereo-channel F32 PCM
if (!::read_wav(fname_inp, pcmf32, pcmf32s, params.diarize)) {
fprintf(stderr, "error: failed to read WAV file '%s'\n", fname_inp.c_str());
if (!::read_audio_data(fname_inp, pcmf32, pcmf32s, params.diarize)) {
fprintf(stderr, "error: failed to read audio file '%s'\n", fname_inp.c_str());
continue;
}

View File

@ -0,0 +1,146 @@
/*! coi-serviceworker v0.1.7 - Guido Zuidhof and contributors, licensed under MIT */
let coepCredentialless = false;
if (typeof window === 'undefined') {
self.addEventListener("install", () => self.skipWaiting());
self.addEventListener("activate", (event) => event.waitUntil(self.clients.claim()));
self.addEventListener("message", (ev) => {
if (!ev.data) {
return;
} else if (ev.data.type === "deregister") {
self.registration
.unregister()
.then(() => {
return self.clients.matchAll();
})
.then(clients => {
clients.forEach((client) => client.navigate(client.url));
});
} else if (ev.data.type === "coepCredentialless") {
coepCredentialless = ev.data.value;
}
});
self.addEventListener("fetch", function (event) {
const r = event.request;
if (r.cache === "only-if-cached" && r.mode !== "same-origin") {
return;
}
const request = (coepCredentialless && r.mode === "no-cors")
? new Request(r, {
credentials: "omit",
})
: r;
event.respondWith(
fetch(request)
.then((response) => {
if (response.status === 0) {
return response;
}
const newHeaders = new Headers(response.headers);
newHeaders.set("Cross-Origin-Embedder-Policy",
coepCredentialless ? "credentialless" : "require-corp"
);
if (!coepCredentialless) {
newHeaders.set("Cross-Origin-Resource-Policy", "cross-origin");
}
newHeaders.set("Cross-Origin-Opener-Policy", "same-origin");
return new Response(response.body, {
status: response.status,
statusText: response.statusText,
headers: newHeaders,
});
})
.catch((e) => console.error(e))
);
});
} else {
(() => {
const reloadedBySelf = window.sessionStorage.getItem("coiReloadedBySelf");
window.sessionStorage.removeItem("coiReloadedBySelf");
const coepDegrading = (reloadedBySelf == "coepdegrade");
// You can customize the behavior of this script through a global `coi` variable.
const coi = {
shouldRegister: () => !reloadedBySelf,
shouldDeregister: () => false,
coepCredentialless: () => true,
coepDegrade: () => true,
doReload: () => window.location.reload(),
quiet: false,
...window.coi
};
const n = navigator;
const controlling = n.serviceWorker && n.serviceWorker.controller;
// Record the failure if the page is served by serviceWorker.
if (controlling && !window.crossOriginIsolated) {
window.sessionStorage.setItem("coiCoepHasFailed", "true");
}
const coepHasFailed = window.sessionStorage.getItem("coiCoepHasFailed");
if (controlling) {
// Reload only on the first failure.
const reloadToDegrade = coi.coepDegrade() && !(
coepDegrading || window.crossOriginIsolated
);
n.serviceWorker.controller.postMessage({
type: "coepCredentialless",
value: (reloadToDegrade || coepHasFailed && coi.coepDegrade())
? false
: coi.coepCredentialless(),
});
if (reloadToDegrade) {
!coi.quiet && console.log("Reloading page to degrade COEP.");
window.sessionStorage.setItem("coiReloadedBySelf", "coepdegrade");
coi.doReload("coepdegrade");
}
if (coi.shouldDeregister()) {
n.serviceWorker.controller.postMessage({ type: "deregister" });
}
}
// If we're already coi: do nothing. Perhaps it's due to this script doing its job, or COOP/COEP are
// already set from the origin server. Also if the browser has no notion of crossOriginIsolated, just give up here.
if (window.crossOriginIsolated !== false || !coi.shouldRegister()) return;
if (!window.isSecureContext) {
!coi.quiet && console.log("COOP/COEP Service Worker not registered, a secure context is required.");
return;
}
// In some environments (e.g. Firefox private mode) this won't be available
if (!n.serviceWorker) {
!coi.quiet && console.error("COOP/COEP Service Worker not registered, perhaps due to private mode.");
return;
}
n.serviceWorker.register(window.document.currentScript.src).then(
(registration) => {
!coi.quiet && console.log("COOP/COEP Service Worker registered", registration.scope);
registration.addEventListener("updatefound", () => {
!coi.quiet && console.log("Reloading page to make use of updated COOP/COEP Service Worker.");
window.sessionStorage.setItem("coiReloadedBySelf", "updatefound");
coi.doReload();
});
// If the registration is active, but it's not controlling the page
if (registration.active && !n.serviceWorker.controller) {
!coi.quiet && console.log("Reloading page to make use of COOP/COEP Service Worker.");
window.sessionStorage.setItem("coiReloadedBySelf", "notcontrolling");
coi.doReload();
}
},
(err) => {
!coi.quiet && console.error("COOP/COEP Service Worker failed to register:", err);
}
);
})();
}

View File

@ -3,7 +3,7 @@
This is a basic Voice Assistant example that accepts voice commands from the microphone.
It runs in fully in the browser via WebAseembly.
Online demo: https://whisper.ggerganov.com/command/
Online demo: https://ggerganov.github.io/whisper.cpp/command.wasm
Terminal version: [examples/command](/examples/command)
@ -15,9 +15,18 @@ git clone https://github.com/ggerganov/whisper.cpp
cd whisper.cpp
mkdir build-em && cd build-em
emcmake cmake ..
make -j
make -j libcommand
```
The example can then be started by running a local HTTP server:
```console
python3 examples/server.py
```
And then opening a browser to the following URL:
http://localhost:8000/command.wasm/
# copy the produced page to your HTTP path
To run the example in a different server, you need to copy the following files
to the server's HTTP path:
```
cp bin/command.wasm/* /path/to/html/
cp bin/libcommand.worker.js /path/to/html/
```

View File

@ -24,6 +24,8 @@
overflow-x: scroll;
}
</style>
<script src="../coi-serviceworker.js"></script>
<link rel="icon" href="data:,">
</head>
<body>
<div id="main-container">
@ -36,11 +38,10 @@
<br><br>
<b>More examples:</b>
<a href="https://whisper.ggerganov.com/">main</a> |
<a href="https://whisper.ggerganov.com/bench">bench</a> |
<a href="https://whisper.ggerganov.com/stream">stream</a> |
<a href="https://whisper.ggerganov.com/command">command</a> |
<a href="https://whisper.ggerganov.com/talk">talk</a> |
<a href="../">main</a> |
<a href="../bench.wasm/">bench</a> |
<a href="../stream.wasm">stream</a> |
<a href="../command.wasm/">command</a> |
<br><br>

View File

@ -3,7 +3,7 @@
// Speak short text commands to the microphone.
// This program will detect your voice command and convert them to text.
//
// ref: https://github.com/ggerganov/whisper.cpp/issues/171
// ref: https://github.com/ggml-org/whisper.cpp/issues/171
//
#include "common-sdl.h"
@ -11,22 +11,15 @@
#include "whisper.h"
#include "grammar-parser.h"
#include <sstream>
#include <cassert>
#include <algorithm>
#include <chrono>
#include <cstdio>
#include <fstream>
#include <mutex>
#include <regex>
#include <map>
#include <sstream>
#include <string>
#include <thread>
#include <vector>
#include <map>
#include <chrono>
#if defined(_WIN32)
#define NOMINMAX
#include <windows.h>
#endif
// command-line parameters
struct whisper_params {
@ -685,10 +678,6 @@ static int process_general_transcription(struct whisper_context * ctx, audio_asy
}
int main(int argc, char ** argv) {
#if defined(_WIN32)
SetConsoleOutputCP(CP_UTF8);
#endif
whisper_params params;
if (whisper_params_parse(argc, argv, params) == false) {

View File

@ -159,15 +159,11 @@ void audio_async::callback(uint8_t * stream, int len) {
memcpy(&m_audio[m_audio_pos], stream, n0 * sizeof(float));
memcpy(&m_audio[0], stream + n0 * sizeof(float), (n_samples - n0) * sizeof(float));
m_audio_pos = (m_audio_pos + n_samples) % m_audio.size();
m_audio_len = m_audio.size();
} else {
memcpy(&m_audio[m_audio_pos], stream, n_samples * sizeof(float));
m_audio_pos = (m_audio_pos + n_samples) % m_audio.size();
m_audio_len = std::min(m_audio_len + n_samples, m_audio.size());
}
m_audio_pos = (m_audio_pos + n_samples) % m_audio.size();
m_audio_len = std::min(m_audio_len + n_samples, m_audio.size());
}
}

172
examples/common-whisper.cpp Normal file
View File

@ -0,0 +1,172 @@
#define _USE_MATH_DEFINES // for M_PI
#include "common-whisper.h"
#include "common.h"
#include "whisper.h"
// third-party utilities
// use your favorite implementations
#define STB_VORBIS_HEADER_ONLY
#include "stb_vorbis.c" /* Enables Vorbis decoding. */
#ifdef _WIN32
#ifndef NOMINMAX
#define NOMINMAX
#endif
#endif
#define MA_NO_DEVICE_IO
#define MA_NO_THREADING
#define MA_NO_ENCODING
#define MA_NO_GENERATION
#define MA_NO_RESOURCE_MANAGER
#define MA_NO_NODE_GRAPH
#define MINIAUDIO_IMPLEMENTATION
#include "miniaudio.h"
#if defined(_MSC_VER)
#pragma warning(disable: 4244 4267) // possible loss of data
#endif
#ifdef _WIN32
#include <fcntl.h>
#include <io.h>
#endif
#include <cstring>
#include <fstream>
#ifdef WHISPER_FFMPEG
// as implemented in ffmpeg_trancode.cpp only embedded in common lib if whisper built with ffmpeg support
extern bool ffmpeg_decode_audio(const std::string & ifname, std::vector<uint8_t> & wav_data);
#endif
bool read_audio_data(const std::string & fname, std::vector<float>& pcmf32, std::vector<std::vector<float>>& pcmf32s, bool stereo) {
std::vector<uint8_t> audio_data; // used for pipe input from stdin or ffmpeg decoding output
ma_result result;
ma_decoder_config decoder_config;
ma_decoder decoder;
decoder_config = ma_decoder_config_init(ma_format_f32, stereo ? 2 : 1, WHISPER_SAMPLE_RATE);
if (fname == "-") {
#ifdef _WIN32
_setmode(_fileno(stdin), _O_BINARY);
#endif
uint8_t buf[1024];
while (true)
{
const size_t n = fread(buf, 1, sizeof(buf), stdin);
if (n == 0) {
break;
}
audio_data.insert(audio_data.end(), buf, buf + n);
}
if ((result = ma_decoder_init_memory(audio_data.data(), audio_data.size(), &decoder_config, &decoder)) != MA_SUCCESS) {
fprintf(stderr, "Error: failed to open audio data from stdin (%s)\n", ma_result_description(result));
return false;
}
fprintf(stderr, "%s: read %zu bytes from stdin\n", __func__, audio_data.size());
}
else if (((result = ma_decoder_init_file(fname.c_str(), &decoder_config, &decoder)) != MA_SUCCESS)) {
#if defined(WHISPER_FFMPEG)
if (ffmpeg_decode_audio(fname, audio_data) != 0) {
fprintf(stderr, "error: failed to ffmpeg decode '%s'\n", fname.c_str());
return false;
}
if ((result = ma_decoder_init_memory(audio_data.data(), audio_data.size(), &decoder_config, &decoder)) != MA_SUCCESS) {
fprintf(stderr, "error: failed to read audio data as wav (%s)\n", ma_result_description(result));
return false;
}
#else
if ((result = ma_decoder_init_memory(fname.c_str(), fname.size(), &decoder_config, &decoder)) != MA_SUCCESS) {
fprintf(stderr, "error: failed to read audio data as wav (%s)\n", ma_result_description(result));
return false;
}
#endif
}
ma_uint64 frame_count;
ma_uint64 frames_read;
if ((result = ma_decoder_get_length_in_pcm_frames(&decoder, &frame_count)) != MA_SUCCESS) {
fprintf(stderr, "error: failed to retrieve the length of the audio data (%s)\n", ma_result_description(result));
return false;
}
pcmf32.resize(stereo ? frame_count*2 : frame_count);
if ((result = ma_decoder_read_pcm_frames(&decoder, pcmf32.data(), frame_count, &frames_read)) != MA_SUCCESS) {
fprintf(stderr, "error: failed to read the frames of the audio data (%s)\n", ma_result_description(result));
return false;
}
if (stereo) {
pcmf32s.resize(2);
pcmf32s[0].resize(frame_count);
pcmf32s[1].resize(frame_count);
for (uint64_t i = 0; i < frame_count; i++) {
pcmf32s[0][i] = pcmf32[2*i];
pcmf32s[1][i] = pcmf32[2*i + 1];
}
}
ma_decoder_uninit(&decoder);
return true;
}
// 500 -> 00:05.000
// 6000 -> 01:00.000
std::string to_timestamp(int64_t t, bool comma) {
int64_t msec = t * 10;
int64_t hr = msec / (1000 * 60 * 60);
msec = msec - hr * (1000 * 60 * 60);
int64_t min = msec / (1000 * 60);
msec = msec - min * (1000 * 60);
int64_t sec = msec / 1000;
msec = msec - sec * 1000;
char buf[32];
snprintf(buf, sizeof(buf), "%02d:%02d:%02d%s%03d", (int) hr, (int) min, (int) sec, comma ? "," : ".", (int) msec);
return std::string(buf);
}
int timestamp_to_sample(int64_t t, int n_samples, int whisper_sample_rate) {
return std::max(0, std::min((int) n_samples - 1, (int) ((t*whisper_sample_rate)/100)));
}
bool speak_with_file(const std::string & command, const std::string & text, const std::string & path, int voice_id) {
std::ofstream speak_file(path.c_str());
if (speak_file.fail()) {
fprintf(stderr, "%s: failed to open speak_file\n", __func__);
return false;
} else {
speak_file.write(text.c_str(), text.size());
speak_file.close();
int ret = system((command + " " + std::to_string(voice_id) + " " + path).c_str());
if (ret != 0) {
fprintf(stderr, "%s: failed to speak\n", __func__);
return false;
}
}
return true;
}
#undef STB_VORBIS_HEADER_ONLY
#include "stb_vorbis.c"

24
examples/common-whisper.h Normal file
View File

@ -0,0 +1,24 @@
#pragma once
#include <string>
#include <vector>
#include <cstdint>
// Read WAV audio file and store the PCM data into pcmf32
// fname can be a buffer of WAV data instead of a filename
// The sample rate of the audio must be equal to COMMON_SAMPLE_RATE
// If stereo flag is set and the audio has 2 channels, the pcmf32s will contain 2 channel PCM
bool read_audio_data(
const std::string & fname,
std::vector<float> & pcmf32,
std::vector<std::vector<float>> & pcmf32s,
bool stereo);
// convert timestamp to string, 6000 -> 01:00.000
std::string to_timestamp(int64_t t, bool comma = false);
// given a timestamp get the sample
int timestamp_to_sample(int64_t t, int n_samples, int whisper_sample_rate);
// write text to file, and call system("command voice_id file")
bool speak_with_file(const std::string & command, const std::string & text, const std::string & path, int voice_id);

View File

@ -2,33 +2,18 @@
#include "common.h"
// third-party utilities
// use your favorite implementations
#define DR_WAV_IMPLEMENTATION
#include "dr_wav.h"
#include <cmath>
#include <codecvt>
#include <cstring>
#include <fstream>
#include <regex>
#include <locale>
#include <codecvt>
#include <regex>
#include <sstream>
#if defined(_MSC_VER)
#pragma warning(disable: 4244 4267) // possible loss of data
#endif
#ifdef _WIN32
#include <fcntl.h>
#include <io.h>
#endif
#ifdef WHISPER_FFMPEG
// as implemented in ffmpeg_trancode.cpp only embedded in common lib if whisper built with ffmpeg support
extern bool ffmpeg_decode_audio(const std::string & ifname, std::vector<uint8_t> & wav_data);
#endif
// Function to check if the next argument exists
static std::string get_next_arg(int& i, int argc, char** argv, const std::string& flag, gpt_params& params) {
if (i + 1 < argc && argv[i + 1][0] != '-') {
@ -262,17 +247,6 @@ std::map<std::string, int32_t> json_parse(const std::string & fname) {
return result;
}
std::string convert_to_utf8(const std::wstring & input) {
std::wstring_convert<std::codecvt_utf8<wchar_t>> converter;
return converter.to_bytes(input);
}
std::wstring convert_to_wstring(const std::string & input) {
std::wstring_convert<std::codecvt_utf8<wchar_t>> converter;
return converter.from_bytes(input);
}
void gpt_split_words(std::string str, std::vector<std::string>& words) {
const std::string pattern = R"('s|'t|'re|'ve|'m|'ll|'d| ?[[:alpha:]]+| ?[[:digit:]]+| ?[^\s[:alpha:][:digit:]]+|\s+(?!\S)|\s+)";
const std::regex re(pattern);
@ -624,129 +598,6 @@ gpt_vocab::id gpt_sample_top_k_top_p_repeat(
}
bool is_wav_buffer(const std::string buf) {
// RIFF ref: https://en.wikipedia.org/wiki/Resource_Interchange_File_Format
// WAV ref: https://www.mmsp.ece.mcgill.ca/Documents/AudioFormats/WAVE/WAVE.html
if (buf.size() < 12 || buf.substr(0, 4) != "RIFF" || buf.substr(8, 4) != "WAVE") {
return false;
}
uint32_t chunk_size = *reinterpret_cast<const uint32_t*>(buf.data() + 4);
if (chunk_size + 8 != buf.size()) {
return false;
}
return true;
}
bool read_wav(const std::string & fname, std::vector<float>& pcmf32, std::vector<std::vector<float>>& pcmf32s, bool stereo) {
drwav wav;
std::vector<uint8_t> wav_data; // used for pipe input from stdin or ffmpeg decoding output
if (fname == "-") {
{
#ifdef _WIN32
_setmode(_fileno(stdin), _O_BINARY);
#endif
uint8_t buf[1024];
while (true)
{
const size_t n = fread(buf, 1, sizeof(buf), stdin);
if (n == 0) {
break;
}
wav_data.insert(wav_data.end(), buf, buf + n);
}
}
if (drwav_init_memory(&wav, wav_data.data(), wav_data.size(), nullptr) == false) {
fprintf(stderr, "error: failed to open WAV file from stdin\n");
return false;
}
fprintf(stderr, "%s: read %zu bytes from stdin\n", __func__, wav_data.size());
}
else if (is_wav_buffer(fname)) {
if (drwav_init_memory(&wav, fname.c_str(), fname.size(), nullptr) == false) {
fprintf(stderr, "error: failed to open WAV file from fname buffer\n");
return false;
}
}
else if (drwav_init_file(&wav, fname.c_str(), nullptr) == false) {
#if defined(WHISPER_FFMPEG)
if (ffmpeg_decode_audio(fname, wav_data) != 0) {
fprintf(stderr, "error: failed to ffmpeg decode '%s' \n", fname.c_str());
return false;
}
if (drwav_init_memory(&wav, wav_data.data(), wav_data.size(), nullptr) == false) {
fprintf(stderr, "error: failed to read wav data as wav \n");
return false;
}
#else
fprintf(stderr, "error: failed to open '%s' as WAV file\n", fname.c_str());
return false;
#endif
}
if (wav.channels != 1 && wav.channels != 2) {
fprintf(stderr, "%s: WAV file '%s' must be mono or stereo\n", __func__, fname.c_str());
drwav_uninit(&wav);
return false;
}
if (stereo && wav.channels != 2) {
fprintf(stderr, "%s: WAV file '%s' must be stereo for diarization\n", __func__, fname.c_str());
drwav_uninit(&wav);
return false;
}
if (wav.sampleRate != COMMON_SAMPLE_RATE) {
fprintf(stderr, "%s: WAV file '%s' must be %i kHz\n", __func__, fname.c_str(), COMMON_SAMPLE_RATE/1000);
drwav_uninit(&wav);
return false;
}
if (wav.bitsPerSample != 16) {
fprintf(stderr, "%s: WAV file '%s' must be 16-bit\n", __func__, fname.c_str());
drwav_uninit(&wav);
return false;
}
const uint64_t n = wav_data.empty() ? wav.totalPCMFrameCount : wav_data.size()/(wav.channels*wav.bitsPerSample/8);
std::vector<int16_t> pcm16;
pcm16.resize(n*wav.channels);
drwav_read_pcm_frames_s16(&wav, n, pcm16.data());
drwav_uninit(&wav);
// convert to mono, float
pcmf32.resize(n);
if (wav.channels == 1) {
for (uint64_t i = 0; i < n; i++) {
pcmf32[i] = float(pcm16[i])/32768.0f;
}
} else {
for (uint64_t i = 0; i < n; i++) {
pcmf32[i] = float(pcm16[2*i] + pcm16[2*i + 1])/65536.0f;
}
}
if (stereo) {
// convert to stereo, float
pcmf32s.resize(2);
pcmf32s[0].resize(n);
pcmf32s[1].resize(n);
for (uint64_t i = 0; i < n; i++) {
pcmf32s[0][i] = float(pcm16[2*i])/32768.0f;
pcmf32s[1][i] = float(pcm16[2*i + 1])/32768.0f;
}
}
return true;
}
void high_pass_filter(std::vector<float> & data, float cutoff, float sample_rate) {
const float rc = 1.0f / (2.0f * M_PI * cutoff);
const float dt = 1.0f / sample_rate;
@ -822,90 +673,7 @@ float similarity(const std::string & s0, const std::string & s1) {
return 1.0f - (dist / std::max(s0.size(), s1.size()));
}
bool sam_params_parse(int argc, char ** argv, sam_params & params) {
for (int i = 1; i < argc; i++) {
std::string arg = argv[i];
if (arg == "-s" || arg == "--seed") {
params.seed = std::stoi(argv[++i]);
} else if (arg == "-t" || arg == "--threads") {
params.n_threads = std::stoi(argv[++i]);
} else if (arg == "-m" || arg == "--model") {
params.model = argv[++i];
} else if (arg == "-i" || arg == "--inp") {
params.fname_inp = argv[++i];
} else if (arg == "-o" || arg == "--out") {
params.fname_out = argv[++i];
} else if (arg == "-h" || arg == "--help") {
sam_print_usage(argc, argv, params);
exit(0);
} else {
fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
sam_print_usage(argc, argv, params);
exit(0);
}
}
return true;
}
void sam_print_usage(int /*argc*/, char ** argv, const sam_params & params) {
fprintf(stderr, "usage: %s [options]\n", argv[0]);
fprintf(stderr, "\n");
fprintf(stderr, "options:\n");
fprintf(stderr, " -h, --help show this help message and exit\n");
fprintf(stderr, " -s SEED, --seed SEED RNG seed (default: -1)\n");
fprintf(stderr, " -t N, --threads N number of threads to use during computation (default: %d)\n", params.n_threads);
fprintf(stderr, " -m FNAME, --model FNAME\n");
fprintf(stderr, " model path (default: %s)\n", params.model.c_str());
fprintf(stderr, " -i FNAME, --inp FNAME\n");
fprintf(stderr, " input file (default: %s)\n", params.fname_inp.c_str());
fprintf(stderr, " -o FNAME, --out FNAME\n");
fprintf(stderr, " output file (default: %s)\n", params.fname_out.c_str());
fprintf(stderr, "\n");
}
// 500 -> 00:05.000
// 6000 -> 01:00.000
std::string to_timestamp(int64_t t, bool comma) {
int64_t msec = t * 10;
int64_t hr = msec / (1000 * 60 * 60);
msec = msec - hr * (1000 * 60 * 60);
int64_t min = msec / (1000 * 60);
msec = msec - min * (1000 * 60);
int64_t sec = msec / 1000;
msec = msec - sec * 1000;
char buf[32];
snprintf(buf, sizeof(buf), "%02d:%02d:%02d%s%03d", (int) hr, (int) min, (int) sec, comma ? "," : ".", (int) msec);
return std::string(buf);
}
int timestamp_to_sample(int64_t t, int n_samples, int whisper_sample_rate) {
return std::max(0, std::min((int) n_samples - 1, (int) ((t*whisper_sample_rate)/100)));
}
bool is_file_exist(const char *fileName)
{
std::ifstream infile(fileName);
bool is_file_exist(const char * filename) {
std::ifstream infile(filename);
return infile.good();
}
bool speak_with_file(const std::string & command, const std::string & text, const std::string & path, int voice_id)
{
std::ofstream speak_file(path.c_str());
if (speak_file.fail()) {
fprintf(stderr, "%s: failed to open speak_file\n", __func__);
return false;
} else {
speak_file.write(text.c_str(), text.size());
speak_file.close();
int ret = system((command + " " + std::to_string(voice_id) + " " + path).c_str());
if (ret != 0) {
fprintf(stderr, "%s: failed to speak\n", __func__);
return false;
}
}
return true;
}

View File

@ -11,8 +11,6 @@
#include <fstream>
#include <sstream>
#define COMMON_SAMPLE_RATE 16000
//
// GPT CLI argument parsing
//
@ -136,19 +134,6 @@ gpt_vocab::id gpt_sample_top_k_top_p_repeat(
// Audio utils
//
// Check if a buffer is a WAV audio file
bool is_wav_buffer(const std::string buf);
// Read WAV audio file and store the PCM data into pcmf32
// fname can be a buffer of WAV data instead of a filename
// The sample rate of the audio must be equal to COMMON_SAMPLE_RATE
// If stereo flag is set and the audio has 2 channels, the pcmf32s will contain 2 channel PCM
bool read_wav(
const std::string & fname,
std::vector<float> & pcmf32,
std::vector<std::vector<float>> & pcmf32s,
bool stereo);
// Write PCM data into WAV audio file
class wav_writer {
private:
@ -266,23 +251,6 @@ bool vad_simple(
// compute similarity between two strings using Levenshtein distance
float similarity(const std::string & s0, const std::string & s1);
//
// SAM argument parsing
//
struct sam_params {
int32_t seed = -1; // RNG seed
int32_t n_threads = std::min(4, (int32_t) std::thread::hardware_concurrency());
std::string model = "models/sam-vit-b/ggml-model-f16.bin"; // model path
std::string fname_inp = "img.jpg";
std::string fname_out = "img.out";
};
bool sam_params_parse(int argc, char ** argv, sam_params & params);
void sam_print_usage(int argc, char ** argv, const sam_params & params);
//
// Terminal utils
//
@ -330,14 +298,5 @@ const std::vector<std::string> k_colors = {
// Other utils
//
// convert timestamp to string, 6000 -> 01:00.000
std::string to_timestamp(int64_t t, bool comma = false);
// given a timestamp get the sample
int timestamp_to_sample(int64_t t, int n_samples, int whisper_sample_rate);
// check if file exists using ifstream
bool is_file_exist(const char *fileName);
// write text to file, and call system("command voice_id file")
bool speak_with_file(const std::string & command, const std::string & text, const std::string & path, int voice_id);
bool is_file_exist(const char * filename);

View File

@ -1,4 +1,6 @@
add_executable(main ./deprecation-warning.cpp)
add_executable(bench ./deprecation-warning.cpp)
add_executable(stream ./deprecation-warning.cpp)
add_executable(command ./deprecation-warning.cpp)
if (WHISPER_SDL2)
add_executable(stream ./deprecation-warning.cpp)
add_executable(command ./deprecation-warning.cpp)
endif()

File diff suppressed because it is too large Load Diff

View File

@ -194,7 +194,7 @@ static int decode_audio(struct audio_buffer *audio_buf, s16 **data, int *size)
AVIOContext *avio_ctx;
AVStream *stream;
AVCodecContext *codec;
AVPacket packet;
AVPacket *packet;
AVFrame *frame;
struct SwrContext *swr;
u8 *avio_ctx_buffer;
@ -249,6 +249,20 @@ static int decode_audio(struct audio_buffer *audio_buf, s16 **data, int *size)
/* prepare resampler */
swr = swr_alloc();
#if LIBAVCODEC_VERSION_MAJOR > 60
AVChannelLayout in_ch_layout = codec->ch_layout;
AVChannelLayout out_ch_layout = AV_CHANNEL_LAYOUT_MONO;
/* Set the source audio layout as-is */
av_opt_set_chlayout(swr, "in_chlayout", &in_ch_layout, 0);
av_opt_set_int(swr, "in_sample_rate", codec->sample_rate, 0);
av_opt_set_sample_fmt(swr, "in_sample_fmt", codec->sample_fmt, 0);
/* Convert it into 16khz Mono */
av_opt_set_chlayout(swr, "out_chlayout", &out_ch_layout, 0);
av_opt_set_int(swr, "out_sample_rate", WAVE_SAMPLE_RATE, 0);
av_opt_set_sample_fmt(swr, "out_sample_fmt", AV_SAMPLE_FMT_S16, 0);
#else
av_opt_set_int(swr, "in_channel_count", codec->channels, 0);
av_opt_set_int(swr, "out_channel_count", 1, 0);
av_opt_set_int(swr, "in_channel_layout", codec->channel_layout, 0);
@ -257,6 +271,7 @@ static int decode_audio(struct audio_buffer *audio_buf, s16 **data, int *size)
av_opt_set_int(swr, "out_sample_rate", WAVE_SAMPLE_RATE, 0);
av_opt_set_sample_fmt(swr, "in_sample_fmt", codec->sample_fmt, 0);
av_opt_set_sample_fmt(swr, "out_sample_fmt", AV_SAMPLE_FMT_S16, 0);
#endif
swr_init(swr);
if (!swr_is_initialized(swr)) {
@ -264,7 +279,11 @@ static int decode_audio(struct audio_buffer *audio_buf, s16 **data, int *size)
return -1;
}
av_init_packet(&packet);
packet=av_packet_alloc();
if (!packet) {
LOG("Error allocating the packet\n");
return -1;
}
frame = av_frame_alloc();
if (!frame) {
LOG("Error allocating the frame\n");
@ -274,8 +293,8 @@ static int decode_audio(struct audio_buffer *audio_buf, s16 **data, int *size)
/* iterate through frames */
*data = NULL;
*size = 0;
while (av_read_frame(fmt_ctx, &packet) >= 0) {
avcodec_send_packet(codec, &packet);
while (av_read_frame(fmt_ctx, packet) >= 0) {
avcodec_send_packet(codec, packet);
err = avcodec_receive_frame(codec, frame);
if (err == AVERROR(EAGAIN))
@ -286,10 +305,11 @@ static int decode_audio(struct audio_buffer *audio_buf, s16 **data, int *size)
/* Flush any remaining conversion buffers... */
convert_frame(swr, codec, frame, data, size, true);
av_packet_free(&packet);
av_frame_free(&frame);
swr_free(&swr);
//avio_context_free(); // todo?
avcodec_close(codec);
avcodec_free_context(&codec);
avformat_close_input(&fmt_ctx);
avformat_free_context(fmt_ctx);

View File

@ -41,20 +41,17 @@ fi
# record some raw audio
sox -d rec.wav
# resample to 16kHz
ffmpeg -y -i ./rec.wav -ar 16000 -ac 1 -c:a pcm_s16le ./rec16.wav > /dev/null 2>&1
# run Whisper
echo "Processing ..."
${executable} -m models/ggml-base.en.bin rec16.wav -owts > /dev/null 2>&1
${executable} -m models/ggml-base.en.bin rec.wav -owts > /dev/null 2>&1
# generate Karaoke video
echo "Generating video ..."
source rec16.wav.wts > /dev/null 2>&1
source rec.wav.wts > /dev/null 2>&1
# play the video
echo "Playing ./rec16.wav.mp4 ..."
ffplay -loglevel 0 -autoexit ./rec16.wav.mp4
ffplay -loglevel 0 -autoexit ./rec.wav.mp4
echo "Done"
exit 0

View File

@ -2,7 +2,7 @@
#
# Transcribe audio livestream by feeding ffmpeg output to whisper.cpp at regular intervals
# Idea by @semiformal-net
# ref: https://github.com/ggerganov/whisper.cpp/issues/185
# ref: https://github.com/ggml-org/whisper.cpp/issues/185
#
set -eo pipefail

View File

@ -3,15 +3,15 @@
#include "whisper.h"
#include "json.hpp"
#include <iostream>
#include <cassert>
#include <chrono>
#include <cstdio>
#include <deque>
#include <iostream>
#include <set>
#include <string>
#include <thread>
#include <vector>
#include <deque>
#include <set>
#include <chrono>
using json = nlohmann::json;

93468
examples/miniaudio.h Normal file

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115
examples/server.py Normal file
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@ -0,0 +1,115 @@
import http.server
import socketserver
import os
import sys
from pathlib import Path
import urllib.parse
SCRIPT_DIR = Path(__file__).parent.absolute()
DIRECTORY = os.path.join(SCRIPT_DIR, "../build-em/bin")
DIRECTORY = os.path.abspath(DIRECTORY)
# The context root we want for all applications
CONTEXT_ROOT = "/whisper.cpp"
class CustomHTTPRequestHandler(http.server.SimpleHTTPRequestHandler):
def __init__(self, *args, **kwargs):
super().__init__(*args, directory=DIRECTORY, **kwargs)
def do_GET(self):
# Redirect root to the context root
if self.path == '/':
self.send_response(302)
self.send_header('Location', CONTEXT_ROOT + '/')
self.end_headers()
return
# Handle requests under the context root
if self.path.startswith(CONTEXT_ROOT):
# Remove the context root prefix to get the actual path
actual_path = self.path[len(CONTEXT_ROOT):]
if not actual_path:
self.send_response(302)
self.send_header('Location', CONTEXT_ROOT + '/')
self.end_headers()
return
if '.worker.js' in actual_path:
worker_file = os.path.basename(actual_path)
worker_path = os.path.join(DIRECTORY, worker_file)
if os.path.exists(worker_path):
print(f"Found worker file: {worker_path}")
self.path = '/' + worker_file
else:
print(f"Worker file not found: {worker_path}")
elif actual_path == '/':
self.path = '/whisper.wasm/index.html'
elif actual_path.startswith('/bench.wasm/') or actual_path.startswith('/command.wasm/') or actual_path.startswith('/stream.wasm/'):
# Keep the path as is, just remove the context root
self.path = actual_path
# For all other paths under the context root
else:
# Check if this is a request to a file in whisper.wasm
potential_file = os.path.join(DIRECTORY, 'whisper.wasm', actual_path.lstrip('/'))
if os.path.exists(potential_file) and not os.path.isdir(potential_file):
self.path = '/whisper.wasm' + actual_path
else:
# Try to resolve the file from the base directory
potential_file = os.path.join(DIRECTORY, actual_path.lstrip('/'))
if os.path.exists(potential_file):
self.path = actual_path
# For direct requests to worker files (without context root as these
# are in the build-em/bin directory
elif '.worker.js' in self.path:
worker_file = os.path.basename(self.path)
worker_path = os.path.join(DIRECTORY, worker_file)
if os.path.exists(worker_path):
self.path = '/' + worker_file
# Handle coi-serviceworker.js separately
if 'coi-serviceworker.js' in self.path:
worker_file = "coi-serviceworker.js"
worker_path = os.path.join(SCRIPT_DIR, worker_file)
if os.path.exists(worker_path):
self.send_response(200)
self.send_header('Content-type', 'application/javascript')
self.end_headers()
with open(worker_path, 'rb') as file:
self.wfile.write(file.read())
return
else:
print(f"Warning: Could not find {worker_path}")
return super().do_GET()
def end_headers(self):
# Add required headers for SharedArrayBuffer
self.send_header("Cross-Origin-Opener-Policy", "same-origin")
self.send_header("Cross-Origin-Embedder-Policy", "require-corp")
self.send_header("Access-Control-Allow-Origin", "*")
super().end_headers()
PORT = 8000
# Enable address reuse
class CustomServer(socketserver.TCPServer):
allow_reuse_address = True
try:
with CustomServer(("", PORT), CustomHTTPRequestHandler) as httpd:
print(f"Serving directory '{DIRECTORY}' at http://localhost:{PORT}")
print(f"Application context root: http://localhost:{PORT}{CONTEXT_ROOT}/")
try:
httpd.serve_forever()
except KeyboardInterrupt:
print("\nServer stopped.")
# Force complete exit
sys.exit(0)
except OSError as e:
print(f"Error: {e}")
sys.exit(1)

View File

@ -1,18 +1,18 @@
#include "common.h"
#include "common-whisper.h"
#include "whisper.h"
#include "httplib.h"
#include "json.hpp"
#include <chrono>
#include <cmath>
#include <fstream>
#include <cstdio>
#include <fstream>
#include <sstream>
#include <string>
#include <thread>
#include <vector>
#include <cstring>
#include <sstream>
#include <chrono>
#if defined(_MSC_VER)
#pragma warning(disable: 4244 4267) // possible loss of data
@ -79,6 +79,7 @@ struct whisper_params {
bool use_gpu = true;
bool flash_attn = false;
bool suppress_nst = false;
bool no_context = false;
std::string language = "en";
std::string prompt = "";
@ -140,6 +141,7 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
fprintf(stderr, " --convert, [%-7s] Convert audio to WAV, requires ffmpeg on the server\n", sparams.ffmpeg_converter ? "true" : "false");
fprintf(stderr, " -sns, --suppress-nst [%-7s] suppress non-speech tokens\n", params.suppress_nst ? "true" : "false");
fprintf(stderr, " -nth N, --no-speech-thold N [%-7.2f] no speech threshold\n", params.no_speech_thold);
fprintf(stderr, " -nc, --no-context [%-7s] do not use previous audio context\n", params.no_context ? "true" : "false");
fprintf(stderr, "\n");
}
@ -186,6 +188,7 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params, serve
else if (arg == "-fa" || arg == "--flash-attn") { params.flash_attn = true; }
else if (arg == "-sns" || arg == "--suppress-nst") { params.suppress_nst = true; }
else if (arg == "-nth" || arg == "--no-speech-thold") { params.no_speech_thold = std::stof(argv[++i]); }
else if (arg == "-nc" || arg == "--no-context") { params.no_context = true; }
// server params
else if ( arg == "--port") { sparams.port = std::stoi(argv[++i]); }
@ -506,6 +509,10 @@ void get_req_parameters(const Request & req, whisper_params & params)
{
params.suppress_nst = parse_str_to_bool(req.get_file_value("suppress_nst").content);
}
if (req.has_file("no_context"))
{
params.no_context = parse_str_to_bool(req.get_file_value("no_context").content);
}
}
} // namespace
@ -723,8 +730,8 @@ int main(int argc, char ** argv) {
return;
}
// read wav content into pcmf32
if (!::read_wav(temp_filename, pcmf32, pcmf32s, params.diarize))
// read audio content into pcmf32
if (!::read_audio_data(temp_filename, pcmf32, pcmf32s, params.diarize))
{
fprintf(stderr, "error: failed to read WAV file '%s'\n", temp_filename.c_str());
const std::string error_resp = "{\"error\":\"failed to read WAV file\"}";
@ -735,10 +742,10 @@ int main(int argc, char ** argv) {
// remove temp file
std::remove(temp_filename.c_str());
} else {
if (!::read_wav(audio_file.content, pcmf32, pcmf32s, params.diarize))
if (!::read_audio_data(audio_file.content, pcmf32, pcmf32s, params.diarize))
{
fprintf(stderr, "error: failed to read WAV file\n");
const std::string error_resp = "{\"error\":\"failed to read WAV file\"}";
fprintf(stderr, "error: failed to read audio data\n");
const std::string error_resp = "{\"error\":\"failed to read audio data\"}";
res.set_content(error_resp, "application/json");
return;
}
@ -818,6 +825,7 @@ int main(int argc, char ** argv) {
wparams.no_timestamps = params.no_timestamps;
wparams.token_timestamps = !params.no_timestamps && params.response_format == vjson_format;
wparams.no_context = params.no_context;
wparams.suppress_nst = params.suppress_nst;
@ -918,14 +926,26 @@ int main(int argc, char ** argv) {
res.set_content(ss.str(), "text/vtt");
} else if (params.response_format == vjson_format) {
/* try to match openai/whisper's Python format */
std::string results = output_str(ctx, params, pcmf32s);
std::string results = output_str(ctx, params, pcmf32s);
// Get language probabilities
std::vector<float> lang_probs(whisper_lang_max_id() + 1, 0.0f);
const auto detected_lang_id = whisper_lang_auto_detect(ctx, 0, params.n_threads, lang_probs.data());
json jres = json{
{"task", params.translate ? "translate" : "transcribe"},
{"language", whisper_lang_str_full(whisper_full_lang_id(ctx))},
{"duration", float(pcmf32.size())/WHISPER_SAMPLE_RATE},
{"text", results},
{"segments", json::array()}
{"segments", json::array()},
{"detected_language", whisper_lang_str_full(detected_lang_id)},
{"detected_language_probability", lang_probs[detected_lang_id]},
{"language_probabilities", json::object()}
};
// Add all language probabilities
for (int i = 0; i <= whisper_lang_max_id(); ++i) {
if (lang_probs[i] > 0.001f) { // Only include non-negligible probabilities
jres["language_probabilities"][whisper_lang_str(i)] = lang_probs[i];
}
}
const int n_segments = whisper_full_n_segments(ctx);
for (int i = 0; i < n_segments; ++i)
{
@ -1024,6 +1044,11 @@ int main(int argc, char ** argv) {
// check if the model is in the file system
});
svr.Get(sparams.request_path + "/health", [&](const Request &, Response &res){
const std::string health_response = "{\"status\":\"ok\"}";
res.set_content(health_response, "application/json");
});
svr.set_exception_handler([](const Request &, Response &res, std::exception_ptr ep) {
const char fmt[] = "500 Internal Server Error\n%s";
char buf[BUFSIZ];

5584
examples/stb_vorbis.c Normal file

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@ -13,7 +13,17 @@ cd whisper.cpp
mkdir build-em && cd build-em
emcmake cmake ..
make -j
```
The example can then be started by running a local HTTP server:
```console
python3 examples/server.py
```
And then opening a browser to the following URL:
http://localhost:8000/stream.wasm
To run the example in a different server, you need to copy the following files
to the server's HTTP path:
```
# copy the produced page to your HTTP path
cp bin/stream.wasm/* /path/to/html/
cp bin/libstream.worker.js /path/to/html/

View File

@ -24,6 +24,8 @@
overflow-x: scroll;
}
</style>
<script src="../coi-serviceworker.js"></script>
<link rel="icon" href="data:,">
</head>
<body>
<div id="main-container">
@ -36,11 +38,10 @@
<br><br>
<b>More examples:</b>
<a href="https://whisper.ggerganov.com/">main</a> |
<a href="https://whisper.ggerganov.com/bench">bench</a> |
<a href="https://whisper.ggerganov.com/stream">stream</a> |
<a href="https://whisper.ggerganov.com/command">command</a> |
<a href="https://whisper.ggerganov.com/talk">talk</a> |
<a href="../">main</a> |
<a href="../bench.wasm/">bench</a> |
<a href="../stream.wasm">stream</a> |
<a href="../command.wasm/">command</a> |
<br><br>

View File

@ -4,20 +4,15 @@
//
#include "common-sdl.h"
#include "common.h"
#include "common-whisper.h"
#include "whisper.h"
#include <cassert>
#include <chrono>
#include <cstdio>
#include <fstream>
#include <string>
#include <thread>
#include <vector>
#include <fstream>
#include <chrono>
#if defined(_WIN32)
#define NOMINMAX
#include <windows.h>
#endif
// command-line parameters
struct whisper_params {
@ -28,6 +23,7 @@ struct whisper_params {
int32_t capture_id = -1;
int32_t max_tokens = 32;
int32_t audio_ctx = 0;
int32_t beam_size = -1;
float vad_thold = 0.6f;
float freq_thold = 100.0f;
@ -64,6 +60,7 @@ static bool whisper_params_parse(int argc, char ** argv, whisper_params & params
else if (arg == "-c" || arg == "--capture") { params.capture_id = std::stoi(argv[++i]); }
else if (arg == "-mt" || arg == "--max-tokens") { params.max_tokens = std::stoi(argv[++i]); }
else if (arg == "-ac" || arg == "--audio-ctx") { params.audio_ctx = std::stoi(argv[++i]); }
else if (arg == "-bs" || arg == "--beam-size") { params.beam_size = std::stoi(argv[++i]); }
else if (arg == "-vth" || arg == "--vad-thold") { params.vad_thold = std::stof(argv[++i]); }
else if (arg == "-fth" || arg == "--freq-thold") { params.freq_thold = std::stof(argv[++i]); }
else if (arg == "-tr" || arg == "--translate") { params.translate = true; }
@ -101,6 +98,7 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
fprintf(stderr, " -c ID, --capture ID [%-7d] capture device ID\n", params.capture_id);
fprintf(stderr, " -mt N, --max-tokens N [%-7d] maximum number of tokens per audio chunk\n", params.max_tokens);
fprintf(stderr, " -ac N, --audio-ctx N [%-7d] audio context size (0 - all)\n", params.audio_ctx);
fprintf(stderr, " -bs N, --beam-size N [%-7d] beam size for beam search\n", params.beam_size);
fprintf(stderr, " -vth N, --vad-thold N [%-7.2f] voice activity detection threshold\n", params.vad_thold);
fprintf(stderr, " -fth N, --freq-thold N [%-7.2f] high-pass frequency cutoff\n", params.freq_thold);
fprintf(stderr, " -tr, --translate [%-7s] translate from source language to english\n", params.translate ? "true" : "false");
@ -118,10 +116,6 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
}
int main(int argc, char ** argv) {
#if defined(_WIN32)
SetConsoleOutputCP(CP_UTF8);
#endif
whisper_params params;
if (whisper_params_parse(argc, argv, params) == false) {
@ -166,7 +160,6 @@ int main(int argc, char ** argv) {
cparams.use_gpu = params.use_gpu;
cparams.flash_attn = params.flash_attn;
fprintf(stderr, "whisper_init_from_file_with_params ...\n");
struct whisper_context * ctx = whisper_init_from_file_with_params(params.model.c_str(), cparams);
std::vector<float> pcmf32 (n_samples_30s, 0.0f);
@ -176,8 +169,6 @@ int main(int argc, char ** argv) {
std::vector<whisper_token> prompt_tokens;
// print some info about the processing
fprintf(stderr, "whisper_init_from_file_with_params ok\n");
{
fprintf(stderr, "\n");
if (!whisper_is_multilingual(ctx)) {
@ -253,6 +244,11 @@ int main(int argc, char ** argv) {
if (!use_vad) {
while (true) {
// handle Ctrl + C
is_running = sdl_poll_events();
if (!is_running) {
break;
}
audio.get(params.step_ms, pcmf32_new);
if ((int) pcmf32_new.size() > 2*n_samples_step) {
@ -310,7 +306,7 @@ int main(int argc, char ** argv) {
// run the inference
{
whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
whisper_full_params wparams = whisper_full_default_params(params.beam_size > 1 ? WHISPER_SAMPLING_BEAM_SEARCH : WHISPER_SAMPLING_GREEDY);
wparams.print_progress = false;
wparams.print_special = params.print_special;
@ -321,6 +317,7 @@ int main(int argc, char ** argv) {
wparams.max_tokens = params.max_tokens;
wparams.language = params.language.c_str();
wparams.n_threads = params.n_threads;
wparams.beam_search.beam_size = params.beam_size;
wparams.audio_ctx = params.audio_ctx;

View File

@ -12,9 +12,12 @@ if (WHISPER_SDL2)
llama-context.cpp
llama-cparams.cpp
llama-grammar.cpp
llama-graph.cpp
llama-hparams.cpp
llama-impl.cpp
llama-io.cpp
llama-kv-cache.cpp
llama-memory.cpp
llama-mmap.cpp
llama-model-loader.cpp
llama-model.cpp
@ -25,10 +28,7 @@ if (WHISPER_SDL2)
unicode-data.cpp)
target_include_directories(${TARGET} PRIVATE ${SDL2_INCLUDE_DIRS})
if (WHISPER_CLBLAST)
set(CLBLAST_LIBNAME clblast)
endif ()
target_link_libraries(${TARGET} PRIVATE common common-sdl whisper ${SDL2_LIBRARIES} ${CLBLAST_LIBNAME} ${CMAKE_THREAD_LIBS_INIT})
target_link_libraries(${TARGET} PRIVATE common common-sdl whisper ${SDL2_LIBRARIES} ${CMAKE_THREAD_LIBS_INIT})
if(WIN32)
# It requires Windows 8.1 or later for PrefetchVirtualMemory

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