388e9f79ad
ggml : fix the fix
2022-11-23 22:40:06 +02:00
35cd29ce1f
ggml : fix cross-compile Linux -> Window with mingw ( #168 )
2022-11-23 22:28:41 +02:00
804f36aa2c
ggml: change inline ggml_fp16_to_fp32, ggml_fp16_t ggml_fp32_to_fp16
2022-11-23 22:16:33 +02:00
83456076f0
add AVX support
2022-11-23 22:16:33 +02:00
2065572a11
ggml : fix Windows build
2022-11-20 22:47:03 +02:00
0bfe728b84
Fix the Windows pthread_create shim
...
The current implementation doesn't actually set the out parameter,
and it returns 0 on failure instead of on success.
2022-11-08 15:02:32 +02:00
75171c2b79
ggml : multi-thread the ggml_add operator
2022-11-03 20:53:44 +02:00
137321915f
ggml : fix the check for NEON support ( #7 )
...
Was using the wrong preprocessor macro
2022-11-02 17:52:24 +02:00
24cd12f647
Cross compilation ( #121 )
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* Cross compile windows
* set env properly
* rm log
* fix review
* Add back space
2022-11-02 08:46:49 +02:00
8dac3c6e10
Fixed sched_yield
2022-10-30 21:38:18 +02:00
6417e59aad
Implemenated sched_yield function for Windows
2022-10-30 21:38:18 +02:00
e5044f87d9
ggml : fix barrier
2022-10-29 19:37:19 +03:00
a272f10b2e
ggml : fix thread-safety of ggml_init and ggml_free
2022-10-29 19:37:19 +03:00
fbd513b813
Add OpenBLAS support
...
Supported via CMake - just add:
cmake .. -DWHISPER_SUPPORT_OPENBLAS=ON
On Ubuntu, you have to install the library like this:
apt install libopenblas-dev
Unfortunately, I don't observe any benefit compared to the
original AVX2 + FP16 implementation. Maybe I'm missing something
2022-10-27 18:31:49 +03:00
34bb3ab0cf
ggml : add system info functions
2022-10-25 20:53:48 +03:00
c6710efde2
refactoring : move main + stream in examples + other stuff
2022-10-25 20:53:48 +03:00
db460b78ff
wip : WASM 128-bit SIMD support
2022-10-22 18:54:01 +03:00
e905c6f827
wip : initial WASM port
...
Works but it is very slow because no SIMD is used.
For example, jfk.wav is processed in ~23 seconds using "tiny.en" model
2022-10-22 18:54:01 +03:00
19817711b4
Add reference to FP16 repo
2022-10-18 19:48:34 +03:00
e36aabe00d
Correct implementation of FP16 GELU
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Can toggle it via the GGML_GELU_FP16 macro
2022-10-18 18:42:08 +03:00
91632eb6ea
Revert GELU change
...
Seems it does not work on x86 for some reason
2022-10-18 00:45:08 +03:00
72d967bce4
Use Accelerate framework on Apple silicon
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Huge performance improvement in the Encode (almost x2 on MacBook M1 Pro)
Also various extra optimizations:
- Multi-threaded NORM operator
- Faster GELU via F16 cast
2022-10-18 00:12:51 +03:00
0e858f080d
close #56 : build on FreeBSD
...
Thanks to @abelbabel for the contribution
2022-10-17 18:10:16 +03:00
0b45d25151
Building with MSVC
2022-10-11 21:40:46 +03:00
4bbb8a587b
Add MinGW support
2022-10-09 22:26:37 +08:00
e29a5dacc6
ref #11 , #18 , #26 : fix CACHE_LINE_SIZE constant
2022-10-07 21:56:44 +03:00
167324584b
wip : rpi4 support
2022-10-05 23:03:46 +03:00
f888c2373d
Flash + language support (ref #2 )
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- Achieved big performance improvement + memory usage reduction
- Can now translate / transcribe different languages
2022-09-28 21:07:32 +03:00
b0a11594ae
Initial release
2022-09-25 22:13:49 +03:00
Georgi Gerganov
katsu560
boolemancer
Syed Jafri
Mikhail Grigorev
Borislav Stanimirov
lnyan