20240131在WIN10下配置whisper

20240131在WIN10下配置whisper
2024/1/31 18:25

首先你要有一张NVIDIA的显卡，比如我用的PDD拼多多的二手GTX1080显卡。【并且极其可能是矿卡！】800￥
2、请正确安装好NVIDIA最新的545版本的驱动程序和CUDA。
2、安装Torch
3、配置whisper

https://blog.csdn.net/m0_52156129/article/details/129263703
如何在你的电脑上完成whisper的简单部署

【根据你的位置或者网速，你下载的速度可能会很慢或者中断，重来即可！^_】
https://pytorch.org/get-started/locally/
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121

pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu118
pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu121

START LOCALLY
Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. Preview is available if you want the latest, not fully tested and supported, builds that are generated nightly. Please ensure that you have met the prerequisites below (e.g., numpy), depending on your package manager. Anaconda is our recommended package manager since it installs all dependencies. You can also install previous versions of PyTorch. Note that LibTorch is only available for C++.

NOTE: Latest PyTorch requires Python 3.8 or later. For more details, see Python section below.

C:\2014[乌托邦(澳洲版) 第一季]Utopia.AU.S01.1080p.WEB-DL.AAC2.0.H.264-ABH[rartv]-7.83GB>nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Tue_Jun_13_19:42:34_Pacific_Daylight_Time_2023
Cuda compilation tools, release 12.2, V12.2.91
Build cuda_12.2.r12.2/compiler.32965470_0

C:\2014[乌托邦(澳洲版) 第一季]Utopia.AU.S01.1080p.WEB-DL.AAC2.0.H.264-ABH[rartv]-7.83GB>pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu121
C:\Users\wb491>pip install -U openai-whisper
C:\Users\wb491>whisper -h
C:\2014[乌托邦(澳洲版) 第一季]Utopia.AU.S01.1080p.WEB-DL.AAC2.0.H.264-ABH[rartv]-7.83GB>whisper Utopia.AU.S01E04.Onwards.and.Upwards.1080p.WEB-DL.AAC2.0.H.264-ABH.mkv --model small --language Chinese

LOG：

Microsoft Windows [版本 10.0.19045.3930]
(c) Microsoft Corporation。保留所有权利。

C:\Users\wb491>pip install -U openai-whisper
Collecting openai-whisper
Downloading openai-whisper-20231117.tar.gz (798 kB)
---------------------------------------- 798.6/798.6 kB 2.2 MB/s eta 0:00:00
Installing build dependencies ... done
Getting requirements to build wheel ... done
Preparing metadata (pyproject.toml) ... done
Collecting numba (from openai-whisper)
Downloading numba-0.58.1-cp38-cp38-win_amd64.whl.metadata (2.8 kB)
Requirement already satisfied: numpy in c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages (from openai-whisper) (1.24.4)
Requirement already satisfied: torch in c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages (from openai-whisper) (1.8.1)
Collecting tqdm (from openai-whisper)
Downloading tqdm-4.66.1-py3-none-any.whl.metadata (57 kB)
---------------------------------------- 57.6/57.6 kB ? eta 0:00:00
Collecting more-itertools (from openai-whisper)
Downloading more_itertools-10.2.0-py3-none-any.whl.metadata (34 kB)
Collecting tiktoken (from openai-whisper)
Downloading tiktoken-0.5.2-cp38-cp38-win_amd64.whl.metadata (6.8 kB)
Collecting llvmlite<0.42,>=0.41.0dev0 (from numba->openai-whisper)
Downloading llvmlite-0.41.1-cp38-cp38-win_amd64.whl.metadata (4.9 kB)
Collecting importlib-metadata (from numba->openai-whisper)
Downloading importlib_metadata-7.0.1-py3-none-any.whl.metadata (4.9 kB)
Collecting regex>=2022.1.18 (from tiktoken->openai-whisper)
Downloading regex-2023.12.25-cp38-cp38-win_amd64.whl.metadata (41 kB)
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Collecting requests>=2.26.0 (from tiktoken->openai-whisper)
Downloading requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)
Requirement already satisfied: typing-extensions in c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages (from torch->openai-whisper) (4.9.0)
Collecting colorama (from tqdm->openai-whisper)
Downloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)
Collecting charset-normalizer<4,>=2 (from requests>=2.26.0->tiktoken->openai-whisper)
Downloading charset_normalizer-3.3.2-cp38-cp38-win_amd64.whl.metadata (34 kB)
Collecting idna<4,>=2.5 (from requests>=2.26.0->tiktoken->openai-whisper)
Downloading idna-3.6-py3-none-any.whl.metadata (9.9 kB)
Collecting urllib3<3,>=1.21.1 (from requests>=2.26.0->tiktoken->openai-whisper)
Downloading urllib3-2.2.0-py3-none-any.whl.metadata (6.4 kB)
Collecting certifi>=2017.4.17 (from requests>=2.26.0->tiktoken->openai-whisper)
Downloading certifi-2023.11.17-py3-none-any.whl.metadata (2.2 kB)
Collecting zipp>=0.5 (from importlib-metadata->numba->openai-whisper)
Downloading zipp-3.17.0-py3-none-any.whl.metadata (3.7 kB)
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Downloading zipp-3.17.0-py3-none-any.whl (7.4 kB)
Building wheels for collected packages: openai-whisper
Building wheel for openai-whisper (pyproject.toml) ... done
Created wheel for openai-whisper: filename=openai_whisper-20231117-py3-none-any.whl size=801375 sha256=0b59001c7b0cf9b553836246ea71e0c10b01936089a7a2ee3e5c031eba9277df
Stored in directory: c:\users\wb491\appdata\local\pip\cache\wheels\d2\33\5e\ab7fe45178ca9489707f18a89fd9a22611b656edf804b3cf53
Successfully built openai-whisper
Installing collected packages: zipp, urllib3, regex, more-itertools, llvmlite, idna, colorama, charset-normalizer, certifi, tqdm, requests, importlib-metadata, tiktoken, numba, openai-whisper
Successfully installed certifi-2023.11.17 charset-normalizer-3.3.2 colorama-0.4.6 idna-3.6 importlib-metadata-7.0.1 llvmlite-0.41.1 more-itertools-10.2.0 numba-0.58.1 openai-whisper-20231117 regex-2023.12.25 requests-2.31.0 tiktoken-0.5.2 tqdm-4.66.1 urllib3-2.2.0 zipp-3.17.0

C:\Users\wb491>
C:\Users\wb491>
C:\Users\wb491>whisper -h
usage: whisper [-h] [--model MODEL] [--model_dir MODEL_DIR] [--device DEVICE] [--output_dir OUTPUT_DIR] [--output_format {txt,vtt,srt,tsv,json,all}] [--verbose VERBOSE] [--task {transcribe,translate}]
[--language {af,am,ar,as,az,ba,be,bg,bn,bo,br,bs,ca,cs,cy,da,de,el,en,es,et,eu,fa,fi,fo,fr,gl,gu,ha,haw,he,hi,hr,ht,hu,hy,id,is,it,ja,jw,ka,kk,km,kn,ko,la,lb,ln,lo,lt,lv,mg,mi,mk,ml,mn,mr,ms,mt,my,ne,nl,nn,no,oc,pa,pl,ps,pt,ro,ru,sa,sd,si,sk,sl,sn,so,sq,sr,su,sv,sw,ta,te,tg,th,tk,tl,tr,tt,uk,ur,uz,vi,yi,yo,yue,zh,Afrikaans,Albanian,Amharic,Arabic,Armenian,Assamese,Azerbaijani,Bashkir,Basque,Belarusian,Bengali,Bosnian,Breton,Bulgarian,Burmese,Cantonese,Castilian,Catalan,Chinese,Croatian,Czech,Danish,Dutch,English,Estonian,Faroese,Finnish,Flemish,French,Galician,Georgian,German,Greek,Gujarati,Haitian,Haitian Creole,Hausa,Hawaiian,Hebrew,Hindi,Hungarian,Icelandic,Indonesian,Italian,Japanese,Javanese,Kannada,Kazakh,Khmer,Korean,Lao,Latin,Latvian,Letzeburgesch,Lingala,Lithuanian,Luxembourgish,Macedonian,Malagasy,Malay,Malayalam,Maltese,Mandarin,Maori,Marathi,Moldavian,Moldovan,Mongolian,Myanmar,Nepali,Norwegian,Nynorsk,Occitan,Panjabi,Pashto,Persian,Polish,Portuguese,Punjabi,Pushto,Romanian,Russian,Sanskrit,Serbian,Shona,Sindhi,Sinhala,Sinhalese,Slovak,Slovenian,Somali,Spanish,Sundanese,Swahili,Swedish,Tagalog,Tajik,Tamil,Tatar,Telugu,Thai,Tibetan,Turkish,Turkmen,Ukrainian,Urdu,Uzbek,Valencian,Vietnamese,Welsh,Yiddish,Yoruba}]
[--temperature TEMPERATURE] [--best_of BEST_OF] [--beam_size BEAM_SIZE] [--patience PATIENCE] [--length_penalty LENGTH_PENALTY] [--suppress_tokens SUPPRESS_TOKENS] [--initial_prompt INITIAL_PROMPT]
[--condition_on_previous_text CONDITION_ON_PREVIOUS_TEXT] [--fp16 FP16] [--temperature_increment_on_fallback TEMPERATURE_INCREMENT_ON_FALLBACK] [--compression_ratio_threshold COMPRESSION_RATIO_THRESHOLD]
[--logprob_threshold LOGPROB_THRESHOLD] [--no_speech_threshold NO_SPEECH_THRESHOLD] [--word_timestamps WORD_TIMESTAMPS] [--prepend_punctuations PREPEND_PUNCTUATIONS] [--append_punctuations APPEND_PUNCTUATIONS]
[--highlight_words HIGHLIGHT_WORDS] [--max_line_width MAX_LINE_WIDTH] [--max_line_count MAX_LINE_COUNT] [--max_words_per_line MAX_WORDS_PER_LINE] [--threads THREADS]
audio [audio ...]

positional arguments:
audio audio file(s) to transcribe

optional arguments:
-h, --help show this help message and exit
--model MODEL name of the Whisper model to use (default: small)
--model_dir MODEL_DIR
the path to save model files; uses ~/.cache/whisper by default (default: None)
--device DEVICE device to use for PyTorch inference (default: cpu)
--output_dir OUTPUT_DIR, -o OUTPUT_DIR
directory to save the outputs (default: .)
--output_format {txt,vtt,srt,tsv,json,all}, -f {txt,vtt,srt,tsv,json,all}
format of the output file; if not specified, all available formats will be produced (default: all)
--verbose VERBOSE whether to print out the progress and debug messages (default: True)
--task {transcribe,translate}
whether to perform X->X speech recognition ('transcribe') or X->English translation ('translate') (default: transcribe)
--language {af,am,ar,as,az,ba,be,bg,bn,bo,br,bs,ca,cs,cy,da,de,el,en,es,et,eu,fa,fi,fo,fr,gl,gu,ha,haw,he,hi,hr,ht,hu,hy,id,is,it,ja,jw,ka,kk,km,kn,ko,la,lb,ln,lo,lt,lv,mg,mi,mk,ml,mn,mr,ms,mt,my,ne,nl,nn,no,oc,pa,pl,ps,pt,ro,ru,sa,sd,si,sk,sl,sn,so,sq,sr,su,sv,sw,ta,te,tg,th,tk,tl,tr,tt,uk,ur,uz,vi,yi,yo,yue,zh,Afrikaans,Albanian,Amharic,Arabic,Armenian,Assamese,Azerbaijani,Bashkir,Basque,Belarusian,Bengali,Bosnian,Breton,Bulgarian,Burmese,Cantonese,Castilian,Catalan,Chinese,Croatian,Czech,Danish,Dutch,English,Estonian,Faroese,Finnish,Flemish,French,Galician,Georgian,German,Greek,Gujarati,Haitian,Haitian Creole,Hausa,Hawaiian,Hebrew,Hindi,Hungarian,Icelandic,Indonesian,Italian,Japanese,Javanese,Kannada,Kazakh,Khmer,Korean,Lao,Latin,Latvian,Letzeburgesch,Lingala,Lithuanian,Luxembourgish,Macedonian,Malagasy,Malay,Malayalam,Maltese,Mandarin,Maori,Marathi,Moldavian,Moldovan,Mongolian,Myanmar,Nepali,Norwegian,Nynorsk,Occitan,Panjabi,Pashto,Persian,Polish,Portuguese,Punjabi,Pushto,Romanian,Russian,Sanskrit,Serbian,Shona,Sindhi,Sinhala,Sinhalese,Slovak,Slovenian,Somali,Spanish,Sundanese,Swahili,Swedish,Tagalog,Tajik,Tamil,Tatar,Telugu,Thai,Tibetan,Turkish,Turkmen,Ukrainian,Urdu,Uzbek,Valencian,Vietnamese,Welsh,Yiddish,Yoruba}
language spoken in the audio, specify None to perform language detection (default: None)
--temperature TEMPERATURE
temperature to use for sampling (default: 0)
--best_of BEST_OF number of candidates when sampling with non-zero temperature (default: 5)
--beam_size BEAM_SIZE
number of beams in beam search, only applicable when temperature is zero (default: 5)
--patience PATIENCE optional patience value to use in beam decoding, as in https://arxiv.org/abs/2204.05424, the default (1.0) is equivalent to conventional beam search (default: None)
--length_penalty LENGTH_PENALTY
optional token length penalty coefficient (alpha) as in https://arxiv.org/abs/1609.08144, uses simple length normalization by default (default: None)
--suppress_tokens SUPPRESS_TOKENS
comma-separated list of token ids to suppress during sampling; '-1' will suppress most special characters except common punctuations (default: -1)
--initial_prompt INITIAL_PROMPT
optional text to provide as a prompt for the first window. (default: None)
--condition_on_previous_text CONDITION_ON_PREVIOUS_TEXT
if True, provide the previous output of the model as a prompt for the next window; disabling may make the text inconsistent across windows, but the model becomes less prone to getting stuck in a failure loop
(default: True)
--fp16 FP16 whether to perform inference in fp16; True by default (default: True)
--temperature_increment_on_fallback TEMPERATURE_INCREMENT_ON_FALLBACK
temperature to increase when falling back when the decoding fails to meet either of the thresholds below (default: 0.2)
--compression_ratio_threshold COMPRESSION_RATIO_THRESHOLD
if the gzip compression ratio is higher than this value, treat the decoding as failed (default: 2.4)
--logprob_threshold LOGPROB_THRESHOLD
if the average log probability is lower than this value, treat the decoding as failed (default: -1.0)
--no_speech_threshold NO_SPEECH_THRESHOLD
if the probability of the <|nospeech|> token is higher than this value AND the decoding has failed due to `logprob_threshold`, consider the segment as silence (default: 0.6)
--word_timestamps WORD_TIMESTAMPS
(experimental) extract word-level timestamps and refine the results based on them (default: False)
--prepend_punctuations PREPEND_PUNCTUATIONS
if word_timestamps is True, merge these punctuation symbols with the next word (default: "'“¿([{-)
--append_punctuations APPEND_PUNCTUATIONS
if word_timestamps is True, merge these punctuation symbols with the previous word (default: "'.。,，!！?？:：”)]}、)
--highlight_words HIGHLIGHT_WORDS
(requires --word_timestamps True) underline each word as it is spoken in srt and vtt (default: False)
--max_line_width MAX_LINE_WIDTH
(requires --word_timestamps True) the maximum number of characters in a line before breaking the line (default: None)
--max_line_count MAX_LINE_COUNT
(requires --word_timestamps True) the maximum number of lines in a segment (default: None)
--max_words_per_line MAX_WORDS_PER_LINE
(requires --word_timestamps True, no effect with --max_line_width) the maximum number of words in a segment (default: None)
--threads THREADS number of threads used by torch for CPU inference; supercedes MKL_NUM_THREADS/OMP_NUM_THREADS (default: 0)

C:\Users\wb491>cd C:\2014[乌托邦(澳洲版) 第一季]Utopia.AU.S01.1080p.WEB-DL.AAC2.0.H.264-ABH[rartv]-7.83GB

C:\2014[乌托邦(澳洲版) 第一季]Utopia.AU.S01.1080p.WEB-DL.AAC2.0.H.264-ABH[rartv]-7.83GB>dir
驱动器 C 中的卷是 WIN10
卷的序列号是 9273-D6A8

C:\2014[乌托邦(澳洲版) 第一季]Utopia.AU.S01.1080p.WEB-DL.AAC2.0.H.264-ABH[rartv]-7.83GB 的目录

2024/01/31 00:02 <DIR> .
2024/01/31 00:02 <DIR> ..
2024/01/30 22:50 111,189 04.srt
2024/01/30 22:50 113,309 05.srt
2024/01/30 22:51 107,750 06.srt
2024/01/30 22:51 101,014 07.srt
2024/01/30 22:51 111,620 08.srt
2024/01/30 19:28 124,714 161426695262720.7z
2024/01/30 21:12 447,089 2014[乌托邦(澳洲版) 第一季]Utopia.AU.S01.1080p.WEB-DL.AAC2.0.H.264-ABH[rartv]-7.83GB 2.7z
2024/01/30 22:45 287,154 4[内置字幕]字幕1+台湾.ssa
2024/01/30 22:46 281,620 5[内置字幕]字幕1+台湾.ssa
2024/01/30 22:46 276,722 6[内置字幕]字幕1 (1)+台湾.ssa
2024/01/30 22:47 255,284 7[内置字幕]字幕1 (2)+台湾.ssa
2024/01/30 22:48 293,888 8[内置字幕]字幕1 (3)+台湾.ssa
2024/01/30 18:43 31 RARBG.txt
2024/01/30 18:43 1,082,562,938 Utopia.AU.S01E04.Onwards.and.Upwards.1080p.WEB-DL.AAC2.0.H.264-ABH.mkv
2024/01/30 18:43 1,068,829,082 Utopia.AU.S01E05.Arts.and.Minds.1080p.WEB-DL.AAC2.0.H.264-ABH.mkv
2024/01/30 18:43 1,065,442,786 Utopia.AU.S01E06.Then.We.Can.Build.It.1080p.WEB-DL.AAC2.0.H.264-ABH.mkv
2024/01/30 18:43 1,041,821,540 Utopia.AU.S01E07.The.First.Project.1080p.WEB-DL.AAC2.0.H.264-ABH.mkv
2024/01/30 18:43 1,065,084,003 Utopia.AU.S01E08.The.Whole.Enchilada.1080p.WEB-DL.AAC2.0.H.264-ABH.mkv
18 个文件 5,326,251,733 字节
2 个目录 260,072,566,784 可用字节

C:\2014[乌托邦(澳洲版) 第一季]Utopia.AU.S01.1080p.WEB-DL.AAC2.0.H.264-ABH[rartv]-7.83GB>whisper Utopia.AU.S01E04.Onwards.and.Upwards.1080p.WEB-DL.AAC2.0.H.264-ABH.mkv --model small --language Chinese
100%|███████████████████████████████████████| 461M/461M [00:41<00:00, 11.5MiB/s]
c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\whisper\transcribe.py:115: UserWarning: FP16 is not supported on CPU; using FP32 instead
warnings.warn("FP16 is not supported on CPU; using FP32 instead")
Traceback (most recent call last):
File "c:\users\wb491\appdata\local\programs\python\python38\lib\runpy.py", line 192, in _run_module_as_main
return _run_code(code, main_globals, None,
File "c:\users\wb491\appdata\local\programs\python\python38\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\Users\wb491\AppData\Local\Programs\Python\Python38\Scripts\whisper.exe\__main__.py", line 7, in <module>
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\whisper\transcribe.py", line 478, in cli
result = transcribe(model, audio_path, temperature=temperature, **args)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\whisper\transcribe.py", line 240, in transcribe
result: DecodingResult = decode_with_fallback(mel_segment)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\whisper\transcribe.py", line 170, in decode_with_fallback
decode_result = model.decode(segment, options)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\whisper\decoding.py", line 824, in decode
result = DecodingTask(model, options).run(mel)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\whisper\decoding.py", line 737, in run
tokens, sum_logprobs, no_speech_probs = self._main_loop(audio_features, tokens)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\whisper\decoding.py", line 687, in _main_loop
logits = self.inference.logits(tokens, audio_features)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\whisper\decoding.py", line 163, in logits
return self.model.decoder(tokens, audio_features, kv_cache=self.kv_cache)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\whisper\model.py", line 211, in forward
x = block(x, xa, mask=self.mask, kv_cache=kv_cache)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\whisper\model.py", line 138, in forward
x = x + self.cross_attn(self.cross_attn_ln(x), xa, kv_cache=kv_cache)[0]
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\whisper\model.py", line 90, in forward
wv, qk = self.qkv_attention(q, k, v, mask)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\whisper\model.py", line 108, in qkv_attention
return (w @ v).permute(0, 2, 1, 3).flatten(start_dim=2), qk.detach()
KeyboardInterrupt

C:\2014[乌托邦(澳洲版) 第一季]Utopia.AU.S01.1080p.WEB-DL.AAC2.0.H.264-ABH[rartv]-7.83GB>
C:\2014[乌托邦(澳洲版) 第一季]Utopia.AU.S01.1080p.WEB-DL.AAC2.0.H.264-ABH[rartv]-7.83GB>
C:\2014[乌托邦(澳洲版) 第一季]Utopia.AU.S01.1080p.WEB-DL.AAC2.0.H.264-ABH[rartv]-7.83GB>
C:\2014[乌托邦(澳洲版) 第一季]Utopia.AU.S01.1080p.WEB-DL.AAC2.0.H.264-ABH[rartv]-7.83GB>
C:\2014[乌托邦(澳洲版) 第一季]Utopia.AU.S01.1080p.WEB-DL.AAC2.0.H.264-ABH[rartv]-7.83GB>
C:\2014[乌托邦(澳洲版) 第一季]Utopia.AU.S01.1080p.WEB-DL.AAC2.0.H.264-ABH[rartv]-7.83GB>nvcc --versuib
nvcc fatal : Unknown option '--versuib'

C:\2014[乌托邦(澳洲版) 第一季]Utopia.AU.S01.1080p.WEB-DL.AAC2.0.H.264-ABH[rartv]-7.83GB>
C:\2014[乌托邦(澳洲版) 第一季]Utopia.AU.S01.1080p.WEB-DL.AAC2.0.H.264-ABH[rartv]-7.83GB>
C:\2014[乌托邦(澳洲版) 第一季]Utopia.AU.S01.1080p.WEB-DL.AAC2.0.H.264-ABH[rartv]-7.83GB>pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu121
Looking in indexes: https://download.pytorch.org/whl/nightly/cu121
Requirement already satisfied: torch in c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages (1.8.1)
Collecting torchvision
Downloading https://download.pytorch.org/whl/nightly/cu121/torchvision-0.18.0.dev20240130%2Bcu121-cp38-cp38-win_amd64.whl (5.8 MB)
---------------------------------------- 5.8/5.8 MB 10.3 MB/s eta 0:00:00
Collecting torchaudio
Downloading https://download.pytorch.org/whl/nightly/cu121/torchaudio-2.2.0.dev20240130%2Bcu121-cp38-cp38-win_amd64.whl (4.1 MB)
---------------------------------------- 4.1/4.1 MB 43.2 MB/s eta 0:00:00
Requirement already satisfied: typing-extensions in c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages (from torch) (4.9.0)
Requirement already satisfied: numpy in c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages (from torch) (1.24.4)
Requirement already satisfied: requests in c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages (from torchvision) (2.31.0)
Collecting torch
Downloading https://download.pytorch.org/whl/nightly/cu121/torch-2.3.0.dev20240130%2Bcu121-cp38-cp38-win_amd64.whl (2413.5 MB)
---------------------------------------- 2.4/2.4 GB 2.9 MB/s eta 0:00:00
Collecting pillow!=8.3.*,>=5.3.0 (from torchvision)
Downloading https://download.pytorch.org/whl/nightly/Pillow-9.3.0-cp38-cp38-win_amd64.whl (2.5 MB)
---------------------------------------- 2.5/2.5 MB 437.3 kB/s eta 0:00:00
Collecting filelock (from torch)
Downloading https://download.pytorch.org/whl/nightly/filelock-3.9.0-py3-none-any.whl (9.7 kB)
Collecting sympy (from torch)
Downloading https://download.pytorch.org/whl/nightly/sympy-1.11.1-py3-none-any.whl (6.5 MB)
---------------------------------------- 6.5/6.5 MB 51.7 MB/s eta 0:00:00
Collecting networkx (from torch)
Downloading https://download.pytorch.org/whl/nightly/networkx-3.0rc1-py3-none-any.whl (2.0 MB)
---------------------------------------- 2.0/2.0 MB 43.7 MB/s eta 0:00:00
Collecting jinja2 (from torch)
Downloading https://download.pytorch.org/whl/nightly/Jinja2-3.1.2-py3-none-any.whl (133 kB)
---------------------------------------- 133.1/133.1 kB 8.2 MB/s eta 0:00:00
Collecting fsspec (from torch)
Downloading https://download.pytorch.org/whl/nightly/fsspec-2023.4.0-py3-none-any.whl (153 kB)
---------------------------------------- 154.0/154.0 kB ? eta 0:00:00
INFO: pip is looking at multiple versions of torch to determine which version is compatible with other requirements. This could take a while.
Collecting torchvision
Downloading https://download.pytorch.org/whl/nightly/cu121/torchvision-0.18.0.dev20240129%2Bcu121-cp38-cp38-win_amd64.whl (5.8 MB)
---------------------------------------- 5.8/5.8 MB 4.3 MB/s eta 0:00:00
Collecting torch
Downloading https://download.pytorch.org/whl/nightly/cu121/torch-2.3.0.dev20240129%2Bcu121-cp38-cp38-win_amd64.whl (2413.5 MB)
---------------------------------------- 2.4/2.4 GB 2.7 MB/s eta 0:00:00
Collecting torchvision
Downloading https://download.pytorch.org/whl/nightly/cu121/torchvision-0.18.0.dev20240128%2Bcu121-cp38-cp38-win_amd64.whl (5.8 MB)
---------------------------------------- 5.8/5.8 MB 531.9 kB/s eta 0:00:00
Collecting torch
Downloading https://download.pytorch.org/whl/nightly/cu121/torch-2.3.0.dev20240128%2Bcu121-cp38-cp38-win_amd64.whl (2413.5 MB)
---------------------------------------- 2.4/2.4 GB 2.8 MB/s eta 0:00:00
Collecting torchvision
Downloading https://download.pytorch.org/whl/nightly/cu121/torchvision-0.18.0.dev20240127%2Bcu121-cp38-cp38-win_amd64.whl (5.8 MB)
---------------------------------------- 5.8/5.8 MB 4.2 MB/s eta 0:00:00
Collecting torch
Downloading https://download.pytorch.org/whl/nightly/cu121/torch-2.3.0.dev20240127%2Bcu121-cp38-cp38-win_amd64.whl (2413.5 MB)
--------- ------------------------------ 0.6/2.4 GB 459.1 kB/s eta 1:06:27
ERROR: Exception:
Traceback (most recent call last):
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_vendor\urllib3\response.py", line 438, in _error_catcher
yield
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_vendor\urllib3\response.py", line 561, in read
data = self._fp_read(amt) if not fp_closed else b""
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_vendor\urllib3\response.py", line 527, in _fp_read
return self._fp.read(amt) if amt is not None else self._fp.read()
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_vendor\cachecontrol\filewrapper.py", line 98, in read
data: bytes = self.__fp.read(amt)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\http\client.py", line 454, in read
n = self.readinto(b)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\http\client.py", line 498, in readinto
n = self.fp.readinto(b)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\socket.py", line 669, in readinto
return self._sock.recv_into(b)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\ssl.py", line 1241, in recv_into
return self.read(nbytes, buffer)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\ssl.py", line 1099, in read
return self._sslobj.read(len, buffer)
socket.timeout: The read operation timed out

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_internal\cli\base_command.py", line 180, in exc_logging_wrapper
status = run_func(*args)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_internal\cli\req_command.py", line 245, in wrapper
return func(self, options, args)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_internal\commands\install.py", line 377, in run
requirement_set = resolver.resolve(
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_internal\resolution\resolvelib\resolver.py", line 95, in resolve
result = self._result = resolver.resolve(
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_vendor\resolvelib\resolvers.py", line 546, in resolve
state = resolution.resolve(requirements, max_rounds=max_rounds)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_vendor\resolvelib\resolvers.py", line 427, in resolve
failure_causes = self._attempt_to_pin_criterion(name)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_vendor\resolvelib\resolvers.py", line 239, in _attempt_to_pin_criterion
criteria = self._get_updated_criteria(candidate)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_vendor\resolvelib\resolvers.py", line 230, in _get_updated_criteria
self._add_to_criteria(criteria, requirement, parent=candidate)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_vendor\resolvelib\resolvers.py", line 173, in _add_to_criteria
if not criterion.candidates:
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_vendor\resolvelib\structs.py", line 156, in __bool__
return bool(self._sequence)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_internal\resolution\resolvelib\found_candidates.py", line 155, in __bool__
return any(self)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_internal\resolution\resolvelib\found_candidates.py", line 143, in <genexpr>
return (c for c in iterator if id(c) not in self._incompatible_ids)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_internal\resolution\resolvelib\found_candidates.py", line 47, in _iter_built
candidate = func()
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_internal\resolution\resolvelib\factory.py", line 182, in _make_candidate_from_link
base: Optional[BaseCandidate] = self._make_base_candidate_from_link(
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_internal\resolution\resolvelib\factory.py", line 228, in _make_base_candidate_from_link
self._link_candidate_cache[link] = LinkCandidate(
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_internal\resolution\resolvelib\candidates.py", line 293, in __init__
super().__init__(
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_internal\resolution\resolvelib\candidates.py", line 156, in __init__
self.dist = self._prepare()
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_internal\resolution\resolvelib\candidates.py", line 225, in _prepare
dist = self._prepare_distribution()
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_internal\resolution\resolvelib\candidates.py", line 304, in _prepare_distribution
return preparer.prepare_linked_requirement(self._ireq, parallel_builds=True)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_internal\operations\prepare.py", line 525, in prepare_linked_requirement
return self._prepare_linked_requirement(req, parallel_builds)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_internal\operations\prepare.py", line 596, in _prepare_linked_requirement
local_file = unpack_url(
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_internal\operations\prepare.py", line 168, in unpack_url
file = get_http_url(
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_internal\operations\prepare.py", line 109, in get_http_url
from_path, content_type = download(link, temp_dir.path)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_internal\network\download.py", line 147, in __call__
for chunk in chunks:
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_internal\cli\progress_bars.py", line 53, in _rich_progress_bar
for chunk in iterable:
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_internal\network\utils.py", line 63, in response_chunks
for chunk in response.raw.stream(
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_vendor\urllib3\response.py", line 622, in stream
data = self.read(amt=amt, decode_content=decode_content)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_vendor\urllib3\response.py", line 587, in read
raise IncompleteRead(self._fp_bytes_read, self.length_remaining)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\contextlib.py", line 131, in __exit__
self.gen.throw(type, value, traceback)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_vendor\urllib3\response.py", line 443, in _error_catcher
raise ReadTimeoutError(self._pool, None, "Read timed out.")
pip._vendor.urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(host='download.pytorch.org', port=443): Read timed out.

C:\2014[乌托邦(澳洲版) 第一季]Utopia.AU.S01.1080p.WEB-DL.AAC2.0.H.264-ABH[rartv]-7.83GB>
C:\2014[乌托邦(澳洲版) 第一季]Utopia.AU.S01.1080p.WEB-DL.AAC2.0.H.264-ABH[rartv]-7.83GB>pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu121
Looking in indexes: https://download.pytorch.org/whl/nightly/cu121
Requirement already satisfied: torch in c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages (1.8.1)
Collecting torchvision
Using cached https://download.pytorch.org/whl/nightly/cu121/torchvision-0.18.0.dev20240130%2Bcu121-cp38-cp38-win_amd64.whl (5.8 MB)
Collecting torchaudio
Using cached https://download.pytorch.org/whl/nightly/cu121/torchaudio-2.2.0.dev20240130%2Bcu121-cp38-cp38-win_amd64.whl (4.1 MB)
Requirement already satisfied: typing-extensions in c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages (from torch) (4.9.0)
Requirement already satisfied: numpy in c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages (from torch) (1.24.4)
Requirement already satisfied: requests in c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages (from torchvision) (2.31.0)
Collecting torch
Using cached https://download.pytorch.org/whl/nightly/cu121/torch-2.3.0.dev20240130%2Bcu121-cp38-cp38-win_amd64.whl (2413.5 MB)
Collecting pillow!=8.3.*,>=5.3.0 (from torchvision)
Using cached https://download.pytorch.org/whl/nightly/Pillow-9.3.0-cp38-cp38-win_amd64.whl (2.5 MB)
Collecting filelock (from torch)
Using cached https://download.pytorch.org/whl/nightly/filelock-3.9.0-py3-none-any.whl (9.7 kB)
Collecting sympy (from torch)
Using cached https://download.pytorch.org/whl/nightly/sympy-1.11.1-py3-none-any.whl (6.5 MB)
Collecting networkx (from torch)
Using cached https://download.pytorch.org/whl/nightly/networkx-3.0rc1-py3-none-any.whl (2.0 MB)
Collecting jinja2 (from torch)
Using cached https://download.pytorch.org/whl/nightly/Jinja2-3.1.2-py3-none-any.whl (133 kB)
Collecting fsspec (from torch)
Using cached https://download.pytorch.org/whl/nightly/fsspec-2023.4.0-py3-none-any.whl (153 kB)
INFO: pip is looking at multiple versions of torch to determine which version is compatible with other requirements. This could take a while.
Collecting torchvision
Using cached https://download.pytorch.org/whl/nightly/cu121/torchvision-0.18.0.dev20240129%2Bcu121-cp38-cp38-win_amd64.whl (5.8 MB)
Collecting torch
Using cached https://download.pytorch.org/whl/nightly/cu121/torch-2.3.0.dev20240129%2Bcu121-cp38-cp38-win_amd64.whl (2413.5 MB)
Collecting torchvision
Using cached https://download.pytorch.org/whl/nightly/cu121/torchvision-0.18.0.dev20240128%2Bcu121-cp38-cp38-win_amd64.whl (5.8 MB)
Collecting torch
Using cached https://download.pytorch.org/whl/nightly/cu121/torch-2.3.0.dev20240128%2Bcu121-cp38-cp38-win_amd64.whl (2413.5 MB)
Collecting torchvision
Using cached https://download.pytorch.org/whl/nightly/cu121/torchvision-0.18.0.dev20240127%2Bcu121-cp38-cp38-win_amd64.whl (5.8 MB)
Collecting torch
Downloading https://download.pytorch.org/whl/nightly/cu121/torch-2.3.0.dev20240127%2Bcu121-cp38-cp38-win_amd64.whl (2413.5 MB)
---------------- ----------------------- 1.0/2.4 GB 56.0 kB/s eta 6:55:44
ERROR: Exception:
Traceback (most recent call last):
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_vendor\urllib3\response.py", line 438, in _error_catcher
yield
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_vendor\urllib3\response.py", line 561, in read
data = self._fp_read(amt) if not fp_closed else b""
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_vendor\urllib3\response.py", line 527, in _fp_read
return self._fp.read(amt) if amt is not None else self._fp.read()
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\pip\_vendor\cachecontrol\filewrapper.py", line 98, in read
data: bytes = self.__fp.read(amt)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\http\client.py", line 454, in read
n = self.readinto(b)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\http\client.py", line 498, in readinto
n = self.fp.readinto(b)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\socket.py", line 669, in readinto
return self._sock.recv_into(b)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\ssl.py", line 1241, in recv_into
return self.read(nbytes, buffer)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\ssl.py", line 1099, in read
return self._sslobj.read(len, buffer)
socket.timeout: The read operation timed out

During handling of the above exception, another exception occurred:

C:\2014[乌托邦(澳洲版) 第一季]Utopia.AU.S01.1080p.WEB-DL.AAC2.0.H.264-ABH[rartv]-7.83GB>pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu121
Looking in indexes: https://download.pytorch.org/whl/nightly/cu121
Requirement already satisfied: torch in c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages (1.8.1)
Collecting torchvision
Using cached https://download.pytorch.org/whl/nightly/cu121/torchvision-0.18.0.dev20240130%2Bcu121-cp38-cp38-win_amd64.whl (5.8 MB)
Collecting torchaudio
Using cached https://download.pytorch.org/whl/nightly/cu121/torchaudio-2.2.0.dev20240130%2Bcu121-cp38-cp38-win_amd64.whl (4.1 MB)
Requirement already satisfied: typing-extensions in c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages (from torch) (4.9.0)
Requirement already satisfied: numpy in c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages (from torch) (1.24.4)
Requirement already satisfied: requests in c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages (from torchvision) (2.31.0)
Collecting torch
Using cached https://download.pytorch.org/whl/nightly/cu121/torch-2.3.0.dev20240130%2Bcu121-cp38-cp38-win_amd64.whl (2413.5 MB)
Collecting pillow!=8.3.*,>=5.3.0 (from torchvision)
Using cached https://download.pytorch.org/whl/nightly/Pillow-9.3.0-cp38-cp38-win_amd64.whl (2.5 MB)
Collecting filelock (from torch)
Using cached https://download.pytorch.org/whl/nightly/filelock-3.9.0-py3-none-any.whl (9.7 kB)
Collecting sympy (from torch)
Using cached https://download.pytorch.org/whl/nightly/sympy-1.11.1-py3-none-any.whl (6.5 MB)
Collecting networkx (from torch)
Using cached https://download.pytorch.org/whl/nightly/networkx-3.0rc1-py3-none-any.whl (2.0 MB)
Collecting jinja2 (from torch)
Using cached https://download.pytorch.org/whl/nightly/Jinja2-3.1.2-py3-none-any.whl (133 kB)
Collecting fsspec (from torch)
Using cached https://download.pytorch.org/whl/nightly/fsspec-2023.4.0-py3-none-any.whl (153 kB)
INFO: pip is looking at multiple versions of torch to determine which version is compatible with other requirements. This could take a while.
Collecting torchvision
Using cached https://download.pytorch.org/whl/nightly/cu121/torchvision-0.18.0.dev20240129%2Bcu121-cp38-cp38-win_amd64.whl (5.8 MB)
Collecting torch
Using cached https://download.pytorch.org/whl/nightly/cu121/torch-2.3.0.dev20240129%2Bcu121-cp38-cp38-win_amd64.whl (2413.5 MB)
Collecting torchvision
Using cached https://download.pytorch.org/whl/nightly/cu121/torchvision-0.18.0.dev20240128%2Bcu121-cp38-cp38-win_amd64.whl (5.8 MB)
Collecting torch
Using cached https://download.pytorch.org/whl/nightly/cu121/torch-2.3.0.dev20240128%2Bcu121-cp38-cp38-win_amd64.whl (2413.5 MB)
Collecting torchvision
Using cached https://download.pytorch.org/whl/nightly/cu121/torchvision-0.18.0.dev20240127%2Bcu121-cp38-cp38-win_amd64.whl (5.8 MB)
Collecting torch
Downloading https://download.pytorch.org/whl/nightly/cu121/torch-2.3.0.dev20240127%2Bcu121-cp38-cp38-win_amd64.whl (2413.5 MB)
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Collecting torch
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Collecting torch
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Collecting torchvision
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Collecting torch
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Collecting torchvision
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Collecting torch
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INFO: pip is looking at multiple versions of torchaudio to determine which version is compatible with other requirements. This could take a while.
Collecting torchaudio
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Collecting MarkupSafe>=2.0 (from jinja2->torch)
Downloading https://download.pytorch.org/whl/nightly/MarkupSafe-2.1.3-cp38-cp38-win_amd64.whl (17 kB)
Requirement already satisfied: charset-normalizer<4,>=2 in c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages (from requests->torchvision) (3.3.2)
Requirement already satisfied: idna<4,>=2.5 in c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages (from requests->torchvision) (3.6)
Requirement already satisfied: urllib3<3,>=1.21.1 in c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages (from requests->torchvision) (2.2.0)
Requirement already satisfied: certifi>=2017.4.17 in c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages (from requests->torchvision) (2023.11.17)
Collecting mpmath>=0.19 (from sympy->torch)
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Installing collected packages: mpmath, sympy, pillow, networkx, MarkupSafe, fsspec, filelock, jinja2, torch, torchvision, torchaudio
Attempting uninstall: torch
Found existing installation: torch 1.8.1
Uninstalling torch-1.8.1:
Successfully uninstalled torch-1.8.1
Successfully installed MarkupSafe-2.1.3 filelock-3.9.0 fsspec-2023.4.0 jinja2-3.1.2 mpmath-1.2.1 networkx-3.0rc1 pillow-9.3.0 sympy-1.11.1 torch-2.3.0.dev20240122+cu121 torchaudio-2.2.0.dev20240123+cu121 torchvision-0.18.0.dev20240123+cu121

C:\2014[乌托邦(澳洲版) 第一季]Utopia.AU.S01.1080p.WEB-DL.AAC2.0.H.264-ABH[rartv]-7.83GB>python
Python 3.8.0 (tags/v3.8.0:fa919fd, Oct 14 2019, 19:37:50) [MSC v.1916 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>>
>>> import torch
>>> print(torch.__version__)
2.3.0.dev20240122+cu121
>>> print(torch.cuda.is_available())
True
>>>
>>> exit()

C:\2014[乌托邦(澳洲版) 第一季]Utopia.AU.S01.1080p.WEB-DL.AAC2.0.H.264-ABH[rartv]-7.83GB>
C:\2014[乌托邦(澳洲版) 第一季]Utopia.AU.S01.1080p.WEB-DL.AAC2.0.H.264-ABH[rartv]-7.83GB>nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Tue_Jun_13_19:42:34_Pacific_Daylight_Time_2023
Cuda compilation tools, release 12.2, V12.2.91
Build cuda_12.2.r12.2/compiler.32965470_0

C:\2014[乌托邦(澳洲版) 第一季]Utopia.AU.S01.1080p.WEB-DL.AAC2.0.H.264-ABH[rartv]-7.83GB>
C:\2014[乌托邦(澳洲版) 第一季]Utopia.AU.S01.1080p.WEB-DL.AAC2.0.H.264-ABH[rartv]-7.83GB>whisper Utopia.AU.S01E04.Onwards.and.Upwards.1080p.WEB-DL.AAC2.0.H.264-ABH.mkv --model small --language Chinese
[00:30.000 --> 00:31.000] Katey
[00:32.000 --> 00:33.000] 我找不到咖啡
[00:33.000 --> 00:34.000] 我們找到了
[00:34.000 --> 00:35.000] 為什麼
[00:35.000 --> 00:36.000] 健康的選擇
[00:36.000 --> 00:37.000] 只有一個月而已
[00:37.000 --> 00:38.000] 我們在做工作
[00:38.000 --> 00:41.000] 免費咖啡、糖、醬汁
[00:41.000 --> 00:43.000] 那是四個基本食物群嗎
[00:44.000 --> 00:45.000] 不
[00:46.000 --> 00:47.000] 我會喝一杯
[00:47.000 --> 00:48.000] 有CAMMANMile和Ginger
[00:49.000 --> 00:50.000] 那是誰
[00:50.000 --> 00:51.000] Toni
[00:51.000 --> 00:52.000] 那是Lauren
[00:52.000 --> 00:53.000] 她是一名記者
[00:53.000 --> 00:54.000] 我們在調查
[00:54.000 --> 00:55.000] 不,是一名記者
[00:55.000 --> 00:56.000] 是一名記者
[00:56.000 --> 00:57.000] 是一名記者
[00:57.000 --> 00:58.000] 她是一名記者
[00:58.000 --> 00:59.000] 我們在調查
[00:59.000 --> 01:00.000] 不,是一名記者
[01:00.000 --> 01:01.000] 25年代澳洲人
[01:01.000 --> 01:02.000] 誰在調查我們的未來
[01:02.000 --> 01:03.000] 她在調查我們的未來
[01:03.000 --> 01:04.000] 她在調查我們的未來
[01:04.000 --> 01:05.000] 他答應了
[01:05.000 --> 01:06.000] Ronda在他的旁邊
[01:06.000 --> 01:07.000] 要停止
[01:07.000 --> 01:08.000] 小政治的立場
[01:08.000 --> 01:09.000] 要不然
[01:09.000 --> 01:10.000] 要不然
[01:10.000 --> 01:11.000] 對
[01:11.000 --> 01:12.000] 對不起,我還不確定
[01:12.000 --> 01:13.000] 那是甚麼
[01:13.000 --> 01:14.000] 是Rose Hep
[01:14.000 --> 01:15.000] 是嗎
[01:15.000 --> 01:16.000] 是
[01:16.000 --> 01:17.000] 那些小小的
[01:17.000 --> 01:18.000] 所以
[01:18.000 --> 01:20.000] 這些項目都已經完成了
[01:20.000 --> 01:21.000] 已經完成了
[01:21.000 --> 01:22.000] 還沒結束
[01:22.000 --> 01:23.000] 沒有,他們…
[01:23.000 --> 01:25.000] 他們在各種程度
[01:25.000 --> 01:26.000] 他們是一種技術
[01:26.000 --> 01:27.000] 技術技術
[01:27.000 --> 01:28.000] 還有一種長 term vision
[01:28.000 --> 01:29.000] 對
[01:29.000 --> 01:30.000] 步步步步步步步步
[01:30.000 --> 01:31.000] 很棒,很棒
[01:31.000 --> 01:32.000] 謝謝
[01:32.000 --> 01:33.000] 對不起,我…
[01:33.000 --> 01:34.000] 對不起
[01:34.000 --> 01:35.000] 我看你很熱心
[01:35.000 --> 01:36.000] 我們在討論長 term vision
[01:36.000 --> 01:38.000] 我希望我們可以給你一點點
[01:40.000 --> 01:41.000] Katy
[01:41.000 --> 01:42.000] 你用了甚麼手機
[01:42.000 --> 01:43.000] 我用了
[01:43.000 --> 01:44.000] 為甚麼
[01:44.000 --> 01:45.000] 健康的選擇
[01:45.000 --> 01:46.000] 但所有的食物都在
[01:46.000 --> 01:47.000] 對
[01:47.000 --> 01:48.000] 那是甚麼選擇
[01:48.000 --> 01:49.000] 你可以用雞肉
[01:49.000 --> 01:50.000] 或雞肉
[01:50.000 --> 01:52.000] 這是甚麼選擇
[01:52.000 --> 01:53.000] 這裡
[01:53.000 --> 01:54.000] 你好,Jim
[01:54.000 --> 01:55.000] 你現在在做甚麼
[01:55.000 --> 01:56.000] 我正在做巧克力
[01:56.000 --> 01:57.000] 你現在在做甚麼
[01:57.000 --> 01:58.000] 做甚麼
[01:58.000 --> 02:00.000] 我正在做NHP
[02:00.000 --> 02:01.000] NHP
[02:01.000 --> 02:03.000] National Highways Program
[02:03.000 --> 02:04.000] Connecting Australia
[02:04.000 --> 02:05.000] 27 Billion Dollar
[02:05.000 --> 02:06.000] Kate Zabrano
[02:06.000 --> 02:07.000] 在發展
[02:07.000 --> 02:08.000] 對
[02:08.000 --> 02:09.000] 對
[02:09.000 --> 02:10.000] 對
[02:10.000 --> 02:11.000] 對
[02:11.000 --> 02:12.000] 我可能會把那一個
[02:12.000 --> 02:14.000] 放在背後
[02:14.000 --> 02:15.000] 你對Clerk Priority
[02:15.000 --> 02:16.000] 第一
[02:16.000 --> 02:17.000] 對,國際戰鬥
[02:17.000 --> 02:18.000] 我們可能要把
[02:18.000 --> 02:19.000] 一半的氣勢
[02:19.000 --> 02:20.000] 滑倒了
[02:20.000 --> 02:21.000] 我只是半小時
[02:21.000 --> 02:22.000] 告訴你一件事
[02:22.000 --> 02:24.000] 我們在討論長 term project
[02:24.000 --> 02:25.000] 那聲音很棒
[02:25.000 --> 02:26.000] 我意思是
[02:26.000 --> 02:27.000] 你不要放在自己身上
[02:27.000 --> 02:28.000] 我不是放在自己身上
[02:28.000 --> 02:29.000] 我是放在你身上
[02:31.000 --> 02:32.000] 他不願意喝咖啡
[02:32.000 --> 02:34.000] 不願意
[02:35.000 --> 02:37.000] 那些大男人在討論你
[02:37.000 --> 02:38.000] 那些大男人
[02:38.000 --> 02:39.000] 他曾經在樓下工作
[02:39.000 --> 02:40.000] 但他移動了
[02:40.000 --> 02:41.000] 在這裡
[02:41.000 --> 02:42.000] 他在哪裡
[02:42.000 --> 02:43.000] 在那邊
[02:43.000 --> 02:44.000] 旁邊
[02:44.000 --> 02:45.000] 是否安全
[02:45.000 --> 02:46.000] 當然
[02:49.000 --> 02:50.000] 沒有人在
[02:50.000 --> 02:51.000] 他在附近
[02:51.000 --> 02:52.000] 那為什麼我們在說
[02:52.000 --> 02:53.000] 我不知道
[02:54.000 --> 02:55.000] 他在問我們
[02:55.000 --> 02:56.000] 他在問我們
[02:56.000 --> 02:57.000] 他的表演表演
[02:57.000 --> 02:58.000] 什麼
[02:58.000 --> 02:59.000] 我不知道
[02:59.000 --> 03:00.000] 他在前面
[03:00.000 --> 03:01.000] 他在前面
[03:01.000 --> 03:02.000] 所以希望你能做到
[03:02.000 --> 03:03.000] 他在這裡
[03:03.000 --> 03:04.000] 我怎麼應該
[03:04.000 --> 03:05.000] 在表演表演
[03:05.000 --> 03:06.000] 在我前面
[03:06.000 --> 03:07.000] 我認為我們必須
[03:07.000 --> 03:08.000] 為什麼
[03:08.000 --> 03:09.000] 這是一件事
[03:09.000 --> 03:10.000] 你的表演
[03:10.000 --> 03:11.000] 好
[03:11.000 --> 03:12.000] 你給我一個 Summary
[03:12.000 --> 03:13.000] 我看他做什麼
[03:13.000 --> 03:14.000] 我不知道
[03:14.000 --> 03:15.000] 你找到嗎
[03:15.000 --> 03:16.000] 我問他
[03:16.000 --> 03:17.000] 你不要問他
[03:17.000 --> 03:18.000] 為什麼我們在說
[03:18.000 --> 03:19.000] 他在討論
[03:19.000 --> 03:20.000] 他會在討論
[03:20.000 --> 03:21.000] 當然
[03:21.000 --> 03:22.000] 你怎麼會這樣
[03:22.000 --> 03:23.000] 你喜歡他
Traceback (most recent call last):
File "c:\users\wb491\appdata\local\programs\python\python38\lib\runpy.py", line 192, in _run_module_as_main
return _run_code(code, main_globals, None,
File "c:\users\wb491\appdata\local\programs\python\python38\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\Users\wb491\AppData\Local\Programs\Python\Python38\Scripts\whisper.exe\__main__.py", line 7, in <module>
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\whisper\transcribe.py", line 478, in cli
result = transcribe(model, audio_path, temperature=temperature, **args)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\whisper\transcribe.py", line 240, in transcribe
result: DecodingResult = decode_with_fallback(mel_segment)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\whisper\transcribe.py", line 170, in decode_with_fallback
decode_result = model.decode(segment, options)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\whisper\decoding.py", line 824, in decode
result = DecodingTask(model, options).run(mel)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\whisper\decoding.py", line 737, in run
tokens, sum_logprobs, no_speech_probs = self._main_loop(audio_features, tokens)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\whisper\decoding.py", line 687, in _main_loop
logits = self.inference.logits(tokens, audio_features)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\whisper\decoding.py", line 163, in logits
return self.model.decoder(tokens, audio_features, kv_cache=self.kv_cache)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\whisper\model.py", line 211, in forward
x = block(x, xa, mask=self.mask, kv_cache=kv_cache)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\whisper\model.py", line 136, in forward
x = x + self.attn(self.attn_ln(x), mask=mask, kv_cache=kv_cache)[0]
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\whisper\model.py", line 90, in forward
wv, qk = self.qkv_attention(q, k, v, mask)
File "c:\users\wb491\appdata\local\programs\python\python38\lib\site-packages\whisper\model.py", line 108, in qkv_attention
return (w @ v).permute(0, 2, 1, 3).flatten(start_dim=2), qk.detach()
KeyboardInterrupt