在arm64 windows 电脑上没有识别出结果

[wmx-github]

在arm64 windows 电脑上没有识别出结果

脚本:

@echo off
setlocal

:: 指定模型路径
set MODEL_PATH=C:\\Users\\Admin123\\.cache\\modelscope\\hub\\lovemefan\\SenseVoiceGGUF\\gguf-fp16-sense-voice-small.bin
:: 执行程序
"../build/bin/Release/sense-voice-main.exe " ^
-m %MODEL_PATH%  "C:\\workspace\\voices\\asr_example_en.wav" ^
-t 4

endlocal

运行之后输出如下：

PS C:\workspace\SenseVoice.cpp\wmx_test> .\test.bat
sense_voice_small_init_from_file_with_params_no_state: loading model from 'C:\\Users\\Admin123\\.cache\\modelscope\\hub\\lovemefan\\SenseVoiceGGUF\\gguf-fp16-sense-voice-small.bin'
sense_voice_init_with_params_no_state: use gpu    = 1
sense_voice_init_with_params_no_state: flash attn = 0
sense_voice_init_with_params_no_state: gpu_device = 0
sense_voice_model_load: version:      3
sense_voice_model_load: alignment:   32
sense_voice_model_load: data offset: 421984
sense_voice_model_load: loading model
sense_voice_model_load: n_vocab = 25055
sense_voice_model_load: n_encoder_hidden_state = 512
sense_voice_model_load: n_encoder_linear_units = 2048
sense_voice_model_load: n_encoder_attention_heads  = 4
sense_voice_model_load: n_encoder_layers = 50
sense_voice_model_load: n_mels  = 80
sense_voice_model_load: ftype  = 1
sense_voice_model_load: vocab[25055] loaded
sense_voice_model_load: CPU total size =   468.98 MB
sense_voice_model_load: n_tensors: 1197
sense_voice_model_load: load SenseVoiceSmall takes 0.763000 second
sense_voice_init_state: kv pad  size  =    3.67 MB
sense_voice_init_state: compute buffer (encoder)   =   17.16 MB
sense_voice_init_state: compute buffer (decoder)   =    5.54 MB

system_info: n_threads = 4 / 4 | AVX = 0 | AVX2 = 0 | AVX512 = 0 | FMA = 0 | NEON = 1 | ARM_FMA = 1 | METAL = 0 | F16C = 0 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 0 | SSSE3 = 0 | VSX = 0 | CUDA = 0 | COREML = 0 | OPENVINO = 0

main: processing audio (35600 samples, 2.22500 sec) , 4 threads, 1 processors, lang = auto...

PS C:\workspace\SenseVoice.cpp\wmx_test>

[lovemefan]

抱歉，有个小bug，请更新代码。感谢关注项目，当前项目尚未充分测试，后续会添加更多测试提高稳定性

[lovemefan]

请问，当前问题还存在吗