segmentation fault when use Core ML

[huapingchen]

Hi,
Build whisper.cpp success with Core ML on MacBook Pro with M2.
Run the below command success:
./main -m models/ggml-base.en.bin -f samples/jfk.wav

But it came into segmentation fault when run any other samples (*wav), or when run stream command.

The copy of the segregation fault error as below:

`% ./main -m models/ggml-base.en.bin -f samples/gb0.wav
whisper_init_from_file_no_state: loading model from 'models/ggml-base.en.bin'
whisper_model_load: loading model
whisper_model_load: n_vocab = 51864
whisper_model_load: n_audio_ctx = 1500
whisper_model_load: n_audio_state = 512
whisper_model_load: n_audio_head = 8
whisper_model_load: n_audio_layer = 6
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 512
whisper_model_load: n_text_head = 8
whisper_model_load: n_text_layer = 6
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: type = 2
whisper_model_load: mem required = 310.00 MB (+ 6.00 MB per decoder)
whisper_model_load: adding 1607 extra tokens
whisper_model_load: model ctx = 140.60 MB
whisper_model_load: model size = 140.54 MB
whisper_init_state: kv self size = 5.25 MB
whisper_init_state: kv cross size = 17.58 MB
whisper_init_state: loading Core ML model from 'models/ggml-base.en-encoder.mlmodelc'
whisper_init_state: first run on a device may take a while ...
whisper_init_state: Core ML model loaded

system_info: n_threads = 4 / 12 | AVX = 0 | AVX2 = 0 | AVX512 = 0 | FMA = 0 | NEON = 1 | ARM_FMA = 1 | F16C = 0 | FP16_VA = 1 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 0 | VSX = 0 | COREML = 1 |

main: processing 'samples/gb0.wav' (2037686 samples, 127.4 sec), 4 threads, 1 processors, lang = en, task = transcribe, timestamps = 1 ...

[00:00:00.000 --> 00:00:03.240] Good morning. This Tuesday is Election Day.
[00:00:03.240 --> 00:00:06.000] After months of spirited debate and vigorous campaigning,
[00:00:06.000 --> 00:00:08.640] the time has come for Americans to make important decisions
[00:00:08.640 --> 00:00:10.120] about our nation's future.
[00:00:10.120 --> 00:00:13.760] I encourage all Americans to go to the polls and vote.
[00:00:13.760 --> 00:00:16.120] Election season brings out the spirit of competition
[00:00:16.120 --> 00:00:18.080] between our political parties.
[00:00:18.080 --> 00:00:20.260] And that competition is an essential part
[00:00:20.260 --> 00:00:21.760] of a healthy democracy.
[00:00:21.760 --> 00:00:23.520] But as the campaigns come to a close,
[00:00:23.520 --> 00:00:26.000] Republicans, Democrats, and independents
[00:00:26.000 --> 00:00:29.120] can find common ground on at least one point.
zsh: segmentation fault ./main -m models/ggml-base.en.bin -f samples/gb0.wav`

[huapingchen]

Add the segmentation fault when run stream:

`./stream -m ./models/ggml-base.en.bin -t 8 --step 500 --length 5000
init: found 3 capture devices:
init: - Capture device #0: 'xxx (3) Microphone'
init: - Capture device #1: 'MacBook Pro Microphone'
init: - Capture device #2: 'Microsoft Teams Audio'
init: attempt to open default capture device ...
init: obtained spec for input device (SDL Id = 2):
init: - sample rate: 16000
init: - format: 33056 (required: 33056)
init: - channels: 1 (required: 1)
init: - samples per frame: 1024
whisper_init_from_file_no_state: loading model from './models/ggml-base.en.bin'
whisper_model_load: loading model
whisper_model_load: n_vocab = 51864
whisper_model_load: n_audio_ctx = 1500
whisper_model_load: n_audio_state = 512
whisper_model_load: n_audio_head = 8
whisper_model_load: n_audio_layer = 6
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 512
whisper_model_load: n_text_head = 8
whisper_model_load: n_text_layer = 6
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: type = 2
whisper_model_load: mem required = 310.00 MB (+ 6.00 MB per decoder)
whisper_model_load: adding 1607 extra tokens
whisper_model_load: model ctx = 140.60 MB
whisper_model_load: model size = 140.54 MB
whisper_init_state: kv self size = 5.25 MB
whisper_init_state: kv cross size = 17.58 MB
whisper_init_state: loading Core ML model from './models/ggml-base.en-encoder.mlmodelc'
whisper_init_state: first run on a device may take a while ...
whisper_init_state: Core ML model loaded

main: processing 8000 samples (step = 0.5 sec / len = 5.0 sec / keep = 0.2 sec), 8 threads, lang = en, task = transcribe, timestamps = 0 ...
main: n_new_line = 9, no_context = 1

[BLANK_AUDIO]zsh: segmentation fault ./stream -m ./models/ggml-base.en.bin -t 8 --step 500 --length 5000`

[ggerganov]

Should be fixed now