0.8.1转写速度非常慢

[syazyz]

4080显卡，速度可能不到原来的1%，堪比用CPU跑。但看显卡占用又跑满了，找不到原因。是否没有正确调用到打包里的PyTorch和TensorFlow所致？

fasterwhispergui.log如下：

None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.
None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.
The torchaudio backend is switched to 'soundfile'. Note that 'sox_io' is not supported on Windows.
torchvision is not available - cannot save figures
The torchaudio backend is switched to 'soundfile'. Note that 'sox_io' is not supported on Windows.

faster_whisper_GUI: 0.8.1
==========2024-09-19_18:15:41==========
==========Start==========

current computer language region-format: zh_CN
language: zh

==========2024-09-19_18:16:57==========
==========LoadModel==========

-model_size_or_path: E:/Utilities/Huggingface_Model/models--Systran--faster-whisper-large-v3/snapshots/edaa852ec7e145841d8ffdb056a99866b5f0a478
-device: cuda
-device_index: 0
-compute_type: float32
-cpu_threads: 4
-num_workers: 1
-download_root: C:/Users/syazyz/.cache/huggingface/hub
-local_files_only: False
-use_v3_model: True

Load over
E:/Utilities/Huggingface_Model/models--Systran--faster-whisper-large-v3/snapshots/edaa852ec7e145841d8ffdb056a99866b5f0a478
max_length: 448
num_samples_per_token: 320
time_precision: 0.02
tokens_per_second: 50
input_stride: 2

[Using V3 model, modify number of mel-filters to 128]

==========2024-09-19_18:18:05==========
==========Process==========

redirect std output
vad_filter : True
-threshold : 0.2
-min_speech_duration_ms : 250
-max_speech_duration_s : inf
-min_silence_duration_ms : 2000
-speech_pad_ms : 800
Transcribes options:
-audio : ['E:/VideoDownload/you-get/겜스트GAMEST/20240912 - 감스트 즉흥으로 열린 노래자랑, 과연 참가자 실력은？ [24.9.11].mkv']
-language : None
-task : True
-beam_size : 1
-best_of : 5
-patience : 1.0
-length_penalty : 1.0
-temperature : [0.0, 0.2, 0.4, 0.6, 0.8, 1.0]
-compression_ratio_threshold : 1.4
-log_prob_threshold : -10.0
-no_speech_threshold : 0.9
-condition_on_previous_text : False
-initial_prompt : None
-prefix : None
-suppress_blank : True
-suppress_tokens : [-1]
-without_timestamps : False
-max_initial_timestamp : 1.0
-word_timestamps : True
-prepend_punctuations : "'“¿([{-
-append_punctuations : "'.。,，!！?？:：”)]}、
-repetition_penalty : 1.0
-no_repeat_ngram_size : 0
-prompt_reset_on_temperature : 0.5
-max_new_tokens : None
-chunk_length : 30.0
-clip_mode : 0
-clip_timestamps : 0
-hallucination_silence_threshold : 0.5
-hotwords :
-language_detection_threshold : None
-language_detection_segments : 1
create transcribe process with 1 workers
start transcribe process

[CheshireCC]

转写速度和显存有一定关系，显存不够的时候会调用系统内存作为共享显存来进行缓冲，速度就慢了，系统内存比显存慢得多，解决办法就是把计算精度换成 16 位或者 8位，这样占用显存少了数据就能直接进显存了

[lowy-git]

我猜……可能你也爆显存了，看一眼log吧

[syazyz]

faster_whisper080.log
faster_whisper081.log
fasterwhispergui080.log
fasterwhispergui081.log

试跑了一下0.8.1，log文件为faster_whisper081.log和fasterwhispergui081.log。作为对比，用同样的文件在0.8.0也跑了一次，对应的log文件是faster_whisper080.log和fasterwhispergui080.log。
0.8.1的log里没有发现提示显存占满的信息。我为了确认还专门开了GPU-Z和hwinfo两个监控软件看显存占用状态，0.8.1全程都在8.8G到11G左右，和0.8.0一模一样。而4080有16G显存，远远未到占满的程度。
这段音频长度为2分18秒，0.8.0用了11秒完成，而0.8.1用了50多秒。