Open grantbarrett opened 5 months ago
Windows WSL2 Ubuntu behaves similarly using requirements.txt, chugs away for days, seems to hang, etc.
eg
Using cached lightning-2.0.9-py3-none-any.whl.metadata (41 kB)
Using cached lightning-2.0.8-py3-none-any.whl.metadata (41 kB)
Using cached lightning-2.0.7-py3-none-any.whl.metadata (41 kB)
Using cached lightning-2.0.6-py3-none-any.whl.metadata (41 kB)
Using cached lightning-2.0.5-py3-none-any.whl.metadata (41 kB)
Using cached lightning-2.0.4-py3-none-any.whl.metadata (41 kB)```
windows10 pip has been resolving dependency complications for 32 hours now...
Collecting git+https://github.com/m-bain/whisperX.git@a5d
Cloning https://github.com/m-bain/whisperX.git (to revi
Running command git clone --filter=blob:none --quiet ht
Running command git rev-parse -q --verify 'sha^a5dca2cc
Running command git fetch -q https://github.com/m-bain/
Running command git checkout -q a5dca2cc65b1a37f32a347e
Resolved https://github.com/m-bain/whisperX.git to comm
Preparing metadata (setup.py) ... done
Collecting demucs
Cloning https://github.com/facebookresearch/demucs to c
Running command git clone --filter=blob:none --quiet hta97dec047bdbd3f503cd804d130'
Resolved https://github.com/facebookresearch/demucs to
Preparing metadata (setup.py) ... done
Collecting wget
Using cached wget-3.2.zip (10 kB)
Preparing metadata (setup.py) ... done
Collecting nemo_toolkit[asr]==1.21.0
Using cached nemo_toolkit-1.21.0-py3-none-any.whl (2.5
Collecting transformers>=4.26.1
Using cached transformers-4.37.2-py3-none-any.whl (8.4
Collecting deepmultilingualpunctuation
Using cached deepmultilingualpunctuation-1.0.1-py3-none
Collecting huggingface-hub
Using cached huggingface_hub-0.20.3-py3-none-any.whl (3
Collecting numba
Using cached numba-0.59.0-cp311-cp311-win_amd64.whl (2.
Collecting numpy<1.24,>=1.22
Using cached numpy-1.23.5-cp311-cp311-win_amd64.whl (14
Collecting onnx>=1.7.0
Using cached onnx-1.15.0-cp311-cp311-win_amd64.whl (14.
Collecting python-dateutil
Using cached python_dateutil-2.8.2-py2.py3-none-any.whl
Collecting ruamel.yaml
Using cached ruamel.yaml-0.18.6-py3-none-any.whl (117 k
Collecting scikit-learn
Using cached scikit_learn-1.4.1.post1-cp311-cp311-win_a
Collecting setuptools>=65.5.1
Using cached setuptools-69.1.0-py3-none-any.whl (819 kB
Collecting tensorboard
Using cached tensorboard-2.16.2-py3-none-any.whl (5.5 M
Collecting text-unidecode
Using cached text_unidecode-1.3-py2.py3-none-any.whl (7
Collecting torch
Using cached torch-2.2.0-cp311-cp311-win_amd64.whl (198
Collecting tqdm>=4.41.0
Using cached tqdm-4.66.2-py3-none-any.whl (78 kB)
Collecting wrapt
Using cached wrapt-1.16.0-cp311-cp311-win_amd64.whl (37
Collecting braceexpand
Using cached braceexpand-0.1.7-py2.py3-none-any.whl (5.
Collecting editdistance
Using cached editdistance-0.8.1-cp311-cp311-win_amd64.w
Collecting g2p-en
Using cached g2p_en-2.1.0-py3-none-any.whl (3.1 MB)
Collecting ipywidgets
Using cached ipywidgets-8.1.2-py3-none-any.whl (139 kB)
Collecting jiwer
Using cached jiwer-3.0.3-py3-none-any.whl (21 kB)
Collecting kaldi-python-io
Using cached kaldi-python-io-1.2.2.tar.gz (8.8 kB)
Preparing metadata (setup.py) ... done
Collecting kaldiio
Using cached kaldiio-2.18.0-py3-none-any.whl (28 kB)
Collecting librosa>=0.9.0
Using cached librosa-0.10.1-py3-none-any.whl (253 kB)
Collecting marshmallow
Using cached marshmallow-3.20.2-py3-none-any.whl (49 kB
Collecting matplotlib
Using cached matplotlib-3.8.3-cp311-cp311-win_amd64.whl
Collecting packaging
Using cached packaging-23.2-py3-none-any.whl (53 kB)
Collecting pyannote.core
Using cached pyannote.core-5.0.0-py3-none-any.whl (58 k
Collecting pyannote.metrics
Using cached pyannote.metrics-3.2.1-py3-none-any.whl (5
Collecting pydub
Using cached pydub-0.25.1-py2.py3-none-any.whl (32 kB)
Collecting scipy>=0.14
Using cached scipy-1.12.0-cp311-cp311-win_amd64.whl (46
Collecting soundfile
Using cached soundfile-0.12.1-py2.py3-none-win_amd64.wh
Collecting sox
Using cached sox-1.4.1-py2.py3-none-any.whl (39 kB)
Collecting texterrors
Using cached texterrors-0.4.4.tar.gz (20 kB)
Preparing metadata (setup.py) ... done
Collecting hydra-core<=1.3.2,>1.3
Using cached hydra_core-1.3.2-py3-none-any.whl (154 kB)
Collecting omegaconf<=2.3
Using cached omegaconf-2.3.0-py3-none-any.whl (79 kB)
Collecting pytorch-lightning<=2.0.7,>=2.0
Using cached pytorch_lightning-2.0.7-py3-none-any.whl (
Collecting torchmetrics>=0.11.0
Using cached torchmetrics-1.3.1-py3-none-any.whl (840 k
Collecting transformers>=4.26.1
Using cached transformers-4.33.3-py3-none-any.whl (7.6
Collecting wandb
Using cached wandb-0.16.3-py3-none-any.whl (2.2 MB)
Collecting webdataset<=0.1.62,>=0.1.48
Using cached webdataset-0.1.62-py3-none-any.whl (32 kB)
Collecting inflect
Using cached inflect-7.0.0-py3-none-any.whl (34 kB)
Collecting pandas
Using cached pandas-2.2.0-cp311-cp311-win_amd64.whl (11
Collecting pydantic<2
Using cached pydantic-1.10.14-cp311-cp311-win_amd64.whl
Collecting sacremoses>=0.0.43
Using cached sacremoses-0.1.1-py3-none-any.whl (897 kB)
Collecting sentencepiece<1.0.0
Using cached sentencepiece-0.2.0-cp311-cp311-win_amd64.
Collecting youtokentome>=1.0.5
Using cached youtokentome-1.0.6.tar.gz (86 kB)
Preparing metadata (setup.py) ... done
Collecting filelock
Downloading filelock-3.13.1-py3-none-any.whl (11 kB)
Collecting pyyaml>=5.1
Using cached PyYAML-6.0.1-cp311-cp311-win_amd64.whl (14
Collecting regex!=2019.12.17
Downloading regex-2023.12.25-cp311-cp311-win_amd64.whl
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Collecting requests
Downloading requests-2.31.0-py3-none-any.whl (62 kB)
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Collecting tokenizers!=0.11.3,<0.14,>=0.11.1
Using cached tokenizers-0.13.3-cp311-cp311-win_amd64.wh
Collecting safetensors>=0.3.1
Downloading safetensors-0.4.2-cp311-none-win_amd64.whl
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Collecting faster-whisper@ git+https://github.com/SYSTRAN
Cloning https://github.com/SYSTRAN/faster-whisper.git (9d1f37cd04636d92
Running command git clone --filter=blob:none --quiet htisper_21d07b00f05543e29d1f37cd04636d92'
Running command git checkout -q e1a218fab1ab02d637b7956
Resolved https://github.com/SYSTRAN/faster-whisper.git
Preparing metadata (setup.py) ... done
Collecting torchaudio>=2
Downloading torchaudio-2.2.0-cp311-cp311-win_amd64.whl
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Collecting nltk
Downloading nltk-3.8.1-py3-none-any.whl (1.5 MB)
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Collecting pyannote.audio==3.1.0
Downloading pyannote.audio-3.1.0-py2.py3-none-any.whl (
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Collecting asteroid-filterbanks>=0.4
Downloading asteroid_filterbanks-0.4.0-py3-none-any.whl
Collecting einops>=0.6.0
Downloading einops-0.7.0-py3-none-any.whl (44 kB)
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Collecting lightning>=2.0.1
Downloading lightning-2.2.0.post0-py3-none-any.whl (2.1
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Collecting pyannote.database>=5.0.1
Downloading pyannote.database-5.0.1-py3-none-any.whl (4
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Collecting pyannote.pipeline>=3.0.1
Downloading pyannote.pipeline-3.0.1-py3-none-any.whl (3
Collecting pytorch-metric-learning>=2.1.0
Downloading pytorch_metric_learning-2.4.1-py3-none-any.
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Collecting rich>=12.0.0
Downloading rich-13.7.0-py3-none-any.whl (240 kB)
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Collecting semver>=3.0.0
Downloading semver-3.0.2-py3-none-any.whl (17 kB)
Collecting speechbrain>=0.5.14
Downloading speechbrain-0.5.16-py3-none-any.whl (630 kB
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Collecting tensorboardX>=2.6
Downloading tensorboardX-2.6.2.2-py2.py3-none-any.whl (
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Collecting torch-audiomentations>=0.11.0
Downloading torch_audiomentations-0.11.1-py3-none-any.w
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Collecting dora-search
Downloading dora_search-0.1.12.tar.gz (87 kB)
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Installing build dependencies ... done
Getting requirements to build wheel ... done
Preparing metadata (pyproject.toml) ... done
Collecting julius>=0.2.3
Downloading julius-0.2.7.tar.gz (59 kB)
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Preparing metadata (setup.py) ... done
Collecting lameenc>=1.2
Downloading lameenc-1.7.0-cp311-cp311-win_amd64.whl (14
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Collecting openunmix
Downloading openunmix-1.2.1-py3-none-any.whl (46 kB)
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Collecting torchaudio>=2
Downloading torchaudio-2.0.2-cp311-cp311-win_amd64.whl
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Collecting fsspec>=2023.5.0
Downloading fsspec-2024.2.0-py3-none-any.whl (170 kB)
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Collecting typing-extensions>=3.7.4.3
Downloading typing_extensions-4.9.0-py3-none-any.whl (3
Collecting antlr4-python3-runtime==4.9.*
Downloading antlr4-python3-runtime-4.9.3.tar.gz (117 kB
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Preparing metadata (setup.py) ... done
Collecting audioread>=2.1.9
Downloading audioread-3.0.1-py3-none-any.whl (23 kB)
Collecting joblib>=0.14
Downloading joblib-1.3.2-py3-none-any.whl (302 kB)
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Collecting decorator>=4.3.0
Using cached decorator-5.1.1-py3-none-any.whl (9.1 kB)
Collecting pooch>=1.0
Downloading pooch-1.8.0-py3-none-any.whl (62 kB)
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Collecting soxr>=0.3.2
Downloading soxr-0.3.7-cp311-cp311-win_amd64.whl (184 k
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Collecting lazy-loader>=0.1
Downloading lazy_loader-0.3-py3-none-any.whl (9.1 kB)
Collecting msgpack>=1.0
Downloading msgpack-1.0.7-cp311-cp311-win_amd64.whl (22
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Collecting llvmlite<0.43,>=0.42.0dev0
Downloading llvmlite-0.42.0-cp311-cp311-win_amd64.whl (
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Collecting protobuf>=3.20.2
Downloading protobuf-4.25.3-cp310-abi3-win_amd64.whl (4
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Collecting sortedcontainers>=2.0.4
Using cached sortedcontainers-2.4.0-py2.py3-none-any.wh
Collecting docopt>=0.6.2
Using cached docopt-0.6.2.tar.gz (25 kB)
Preparing metadata (setup.py) ... done
Collecting tabulate>=0.7.7
Downloading tabulate-0.9.0-py3-none-any.whl (35 kB)
Collecting sympy>=1.1
Using cached sympy-1.12-py3-none-any.whl (5.7 MB)
Collecting contourpy>=1.0.1
Downloading contourpy-1.2.0-cp311-cp311-win_amd64.whl (
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Collecting cycler>=0.10
Downloading cycler-0.12.1-py3-none-any.whl (8.3 kB)
Collecting fonttools>=4.22.0
Downloading fonttools-4.49.0-cp311-cp311-win_amd64.whl
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Collecting kiwisolver>=1.3.1
Using cached kiwisolver-1.4.5-cp311-cp311-win_amd64.whl
Collecting pillow>=8
Downloading pillow-10.2.0-cp311-cp311-win_amd64.whl (2.
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Collecting pyparsing>=2.3.1
Using cached pyparsing-3.1.1-py3-none-any.whl (103 kB)
Collecting pytz>=2020.1
Downloading pytz-2024.1-py2.py3-none-any.whl (505 kB)
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Collecting tzdata>=2022.7
Downloading tzdata-2024.1-py2.py3-none-any.whl (345 kB)
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Collecting six>=1.5
Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)
Collecting lightning-utilities>=0.7.0
Downloading lightning_utilities-0.10.1-py3-none-any.whl
Collecting click
Using cached click-8.1.7-py3-none-any.whl (97 kB)
Collecting threadpoolctl>=2.0.0
Downloading threadpoolctl-3.3.0-py3-none-any.whl (17 kB
Collecting cffi>=1.0
Downloading cffi-1.16.0-cp311-cp311-win_amd64.whl (181
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Collecting networkx
Downloading networkx-3.2.1-py3-none-any.whl (1.6 MB)
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Collecting jinja2
Downloading Jinja2-3.1.3-py3-none-any.whl (133 kB)
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Collecting torch
Using cached torch-2.0.1-cp311-cp311-win_amd64.whl (172
Collecting colorama
Using cached colorama-0.4.6-py2.py3-none-any.whl (25 kB
Collecting retrying
Downloading retrying-1.3.4-py3-none-any.whl (11 kB)
Collecting submitit
Downloading submitit-1.5.1-py3-none-any.whl (74 kB)
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Collecting treetable
Downloading treetable-0.2.5.tar.gz (10 kB)
Preparing metadata (setup.py) ... done
Collecting av==10.*
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Collecting wheel>=0.26
Using cached wheel-0.42.0-py3-none-any.whl (65 kB)
INFO: pip is looking at multiple versions of tensorboard
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Downloading tensorboard-2.13.0-py3-none-any.whl (5.6 MB
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Downloading tensorboard-2.12.3-py3-none-any.whl (5.6 MB
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Downloading tensorboard-2.12.2-py3-none-any.whl (5.6 MB
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Collecting tensorboard-plugin-wit>=1.6.0
Downloading tensorboard_plugin_wit-1.8.1-py3-none-any.w
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Downloading tensorboard-2.12.1-py3-none-any.whl (5.6 MB
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Downloading tensorboard-2.12.0-py3-none-any.whl (5.6 MB
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Collecting google-auth-oauthlib<0.5,>=0.4.1
Downloading google_auth_oauthlib-0.4.6-py2.py3-none-any
INFO: This is taking longer than usual. You might need tos/backtracking for guidance. If you want to abort this ru
Collecting tensorboard
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Downloading tensorboard-2.11.2-py3-none-any.whl (6.0 MB
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Collecting protobuf>=3.20.2
Downloading protobuf-3.20.3-py2.py3-none-any.whl (162 k
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Collecting tensorboard-data-server<0.7.0,>=0.6.0
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Downloading tensorboard-2.11.0-py3-none-any.whl (6.0 MB
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Downloading tensorboard-2.10.1-py3-none-any.whl (5.9 MB
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Downloading tensorboard-2.10.0-py3-none-any.whl (5.9 MB
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Downloading tensorboard-2.9.1-py3-none-any.whl (5.8 MB)
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Downloading tensorboard-2.9.0-py3-none-any.whl (5.8 MB)
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Downloading tensorboard-2.8.0-py3-none-any.whl (5.8 MB)
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Downloading tensorboard-2.7.0-py3-none-any.whl (5.8 MB)
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Downloading tensorboard-2.6.0-py3-none-any.whl (5.6 MB)
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Collecting google-auth<2,>=1.6.3
Downloading google_auth-1.35.0-py2.py3-none-any.whl (15
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Collecting tensorboard
WARNING: Retrying (Retry(total=4, connect=None, read=Nonnected('Remote end closed connection without response'))y.whl
Downloading tensorboard-2.5.0-py3-none-any.whl (6.0 MB)
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Downloading tensorboard-2.4.1-py3-none-any.whl (10.6 MB
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Downloading tensorboard-2.4.0-py3-none-any.whl (10.6 MB
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Downloading tensorboard-2.3.0-py3-none-any.whl (6.8 MB)
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Downloading tensorboard-2.2.2-py3-none-any.whl (3.0 MB)
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Downloading tensorboard-2.2.1-py3-none-any.whl (3.0 MB)
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Downloading tensorboard-2.2.0-py3-none-any.whl (2.8 MB)
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Downloading tensorboard-2.1.1-py3-none-any.whl (3.8 MB)
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Downloading tensorboard-2.1.0-py3-none-any.whl (3.8 MB)
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Downloading tensorboard-2.0.2-py3-none-any.whl (3.8 MB)
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WARNING: Retrying (Retry(total=4, connect=None, read=Nonnected('Remote end closed connection without response'))y.whl
Downloading tensorboard-2.0.1-py3-none-any.whl (3.8 MB)
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WARNING: Retrying (Retry(total=4, connect=None, read=Nonnected('Remote end closed connection without response'))y.whl
Downloading tensorboard-2.0.0-py3-none-any.whl (3.8 MB)
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WARNING: Retrying (Retry(total=4, connect=None, read=Nonnected('Remote end closed connection without response'))ny.whl
Downloading tensorboard-1.15.0-py3-none-any.whl (3.8 MB
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Downloading tensorboard-1.14.0-py3-none-any.whl (3.1 MB
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Downloading tensorboard-1.13.1-py3-none-any.whl (3.2 MB
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WARNING: Retrying (Retry(total=4, connect=None, read=Nonnected('Remote end closed connection without response'))ny.whl
Downloading tensorboard-1.13.0-py3-none-any.whl (3.2 MB
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WARNING: Retrying (Retry(total=4, connect=None, read=Nonnected('Remote end closed connection without response'))83146199f16dbd5999ef226b87bce63ad5cd73c840cf722637969/tenny.whl
ne, read=None, redirect=None, status=None)) afwhl (3.0 MBter connection broken by 'ProtocolError('Conne3.0/3.0 MB ction aborted.', RemoteDisconnected('Remote enne, read=Nod closed connection without response'))': /pacor('Connectkages/c6/17/ecd918a004f297955c30b4fffbea100b16response'))06c225dbf0443264012773c3ff/tensorboard-1.10.0-5d310f4/tenpy3-none-any.whl
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Downloading tensorboard-1.9.0-py3-none-any.whl (3.3 MB)
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WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ProtocolError('Connection aborted.', RemoteDisconnected('Remote end closed connection without response'))': /packages/59/a6/0ae6092b7542cfedba6b2a1c9b8dceaf278238c39484f3ba03b03f07803c/tensorboard-1.8.0-py3-none-any.whl
Downloading tensorboard-1.8.0-py3-none-any.whl (3.1 MB)
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Collecting html5lib==0.9999999
Downloading html5lib-0.9999999.tar.gz (889 kB)
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Preparing metadata (setup.py) ... done
Collecting bleach==1.5.0
Downloading bleach-1.5.0-py2.py3-none-any.whl (17 kB)
INFO: pip is looking at multiple versions of html5lib to determine which version is
compatible with other requirements. This could take a while.
INFO: pip is looking at multiple versions of bleach to determine which version is compatible with other requirements. This could take a while.
Collecting tensorboard
WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ProtocolError('Connection aborted.', RemoteDisconnected('Remote end closed connection without response'))': /packages/0b/ec/65d4e8410038ca2a78c09034094403d231228d0ddcae7d470b223456e55d/tensorboard-1.7.0-py3-none-any.whl
Downloading tensorboard-1.7.0-py3-none-any.whl (3.1 MB)
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is this problem still existent? if yes, what are the steps to reproduce?
is this problem still existent? if yes, what are the steps to reproduce?
Yes! I too have this error. Cloned repo, create venv, upgrade pip and install requirements:
pip install -r requirements.txt
Collecting git+https://github.com/m-bain/whisperX.git@78dcfaab51005aa703ee21375f81ed31bc248560 (from -r requirements.txt (line 3))
Cloning https://github.com/m-bain/whisperX.git (to revision 78dcfaab51005aa703ee21375f81ed31bc248560) to /tmp/pip-req-build-xg2hy0_v
Running command git clone --filter=blob:none --quiet https://github.com/m-bain/whisperX.git /tmp/pip-req-build-xg2hy0_v
Running command git rev-parse -q --verify 'sha^78dcfaab51005aa703ee21375f81ed31bc248560'
Running command git fetch -q https://github.com/m-bain/whisperX.git 78dcfaab51005aa703ee21375f81ed31bc248560
Resolved https://github.com/m-bain/whisperX.git to commit 78dcfaab51005aa703ee21375f81ed31bc248560
Preparing metadata (setup.py) ... done
Collecting demucs (from -r requirements.txt (line 4))
Cloning https://github.com/facebookresearch/demucs to /tmp/pip-install-5omdrz0k/demucs_bd3c2949d37d40e8b68d9f020aab3276
Running command git clone --filter=blob:none --quiet https://github.com/facebookresearch/demucs /tmp/pip-install-5omdrz0k/demucs_bd3c2949d37d40e8b68d9f020aab3276
Resolved https://github.com/facebookresearch/demucs to commit e976d93ecc3865e5757426930257e200846a520a
Preparing metadata (setup.py) ... done
Collecting wget (from -r requirements.txt (line 1))
Using cached wget-3.2.zip (10 kB)
Preparing metadata (setup.py) ... done
Collecting nemo_toolkit==1.22.0 (from nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached nemo_toolkit-1.22.0-py3-none-any.whl.metadata (15 kB)
Collecting deepmultilingualpunctuation (from -r requirements.txt (line 5))
Using cached deepmultilingualpunctuation-1.0.1-py3-none-any.whl.metadata (4.0 kB)
Collecting huggingface-hub (from nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached huggingface_hub-0.21.4-py3-none-any.whl.metadata (13 kB)
Collecting numba (from nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached numba-0.59.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (2.7 kB)
Collecting numpy<1.24,>=1.22 (from nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached numpy-1.23.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.3 kB)
Collecting onnx>=1.7.0 (from nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached onnx-1.15.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (15 kB)
Collecting python-dateutil (from nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached python_dateutil-2.9.0.post0-py2.py3-none-any.whl.metadata (8.4 kB)
Collecting ruamel.yaml (from nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached ruamel.yaml-0.18.6-py3-none-any.whl.metadata (23 kB)
Collecting scikit-learn (from nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached scikit_learn-1.4.1.post1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (11 kB)
Requirement already satisfied: setuptools>=65.5.1 in ./.venv/lib/python3.11/site-packages (from nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2)) (69.1.1)
Collecting tensorboard (from nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached tensorboard-2.16.2-py3-none-any.whl.metadata (1.6 kB)
Collecting text-unidecode (from nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached text_unidecode-1.3-py2.py3-none-any.whl.metadata (2.4 kB)
Collecting torch (from nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached torch-2.2.1-cp311-cp311-manylinux1_x86_64.whl.metadata (26 kB)
Collecting tqdm>=4.41.0 (from nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
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Installing build dependencies ... done
Getting requirements to build wheel ... done
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Preparing metadata (pyproject.toml) ... done
Requirement already satisfied: wheel in ./.venv/lib/python3.11/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch->nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2)) (0.42.0)
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Collecting comm>=0.1.3 (from ipywidgets->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
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Collecting GitPython!=3.1.29,>=1.0.0 (from wandb->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
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Collecting sentry-sdk>=1.0.0 (from wandb->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
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Collecting docker-pycreds>=0.4.0 (from wandb->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
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Collecting setproctitle (from wandb->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
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Collecting appdirs>=1.4.3 (from wandb->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
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Collecting pycparser (from cffi>=1.0->soundfile->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
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Collecting aiosignal>=1.1.2 (from aiohttp->datasets->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
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Collecting attrs>=17.3.0 (from aiohttp->datasets->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
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Collecting frozenlist>=1.1.1 (from aiohttp->datasets->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
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Collecting multidict<7.0,>=4.5 (from aiohttp->datasets->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
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Collecting yarl<2.0,>=1.0 (from aiohttp->datasets->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached yarl-1.9.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (31 kB)
Collecting gitdb<5,>=4.0.1 (from GitPython!=3.1.29,>=1.0.0->wandb->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached gitdb-4.0.11-py3-none-any.whl.metadata (1.2 kB)
Collecting jedi>=0.16 (from ipython>=6.1.0->ipywidgets->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached jedi-0.19.1-py2.py3-none-any.whl.metadata (22 kB)
Collecting matplotlib-inline (from ipython>=6.1.0->ipywidgets->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached matplotlib_inline-0.1.6-py3-none-any.whl.metadata (2.8 kB)
Collecting prompt-toolkit<3.1.0,>=3.0.41 (from ipython>=6.1.0->ipywidgets->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached prompt_toolkit-3.0.43-py3-none-any.whl.metadata (6.5 kB)
Collecting pygments>=2.4.0 (from ipython>=6.1.0->ipywidgets->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached pygments-2.17.2-py3-none-any.whl.metadata (2.6 kB)
Collecting stack-data (from ipython>=6.1.0->ipywidgets->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached stack_data-0.6.3-py3-none-any.whl.metadata (18 kB)
Collecting pexpect>4.3 (from ipython>=6.1.0->ipywidgets->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached pexpect-4.9.0-py2.py3-none-any.whl.metadata (2.5 kB)
Collecting coloredlogs (from onnxruntime<2,>=1.14->faster-whisper==1.0.0->whisperx==3.1.1->-r requirements.txt (line 3))
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Collecting flatbuffers (from onnxruntime<2,>=1.14->faster-whisper==1.0.0->whisperx==3.1.1->-r requirements.txt (line 3))
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INFO: pip is looking at multiple versions of onnxruntime to determine which version is compatible with other requirements. This could take a while.
Collecting onnxruntime<2,>=1.14 (from faster-whisper==1.0.0->whisperx==3.1.1->-r requirements.txt (line 3))
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INFO: pip is still looking at multiple versions of onnxruntime to determine which version is compatible with other requirements. This could take a while.
Collecting lightning>=2.0.1 (from pyannote.audio==3.1.1->whisperx==3.1.1->-r requirements.txt (line 3))
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INFO: This is taking longer than usual. You might need to provide the dependency resolver with stricter constraints to reduce runtime. See https://pip.pypa.io/warnings/backtracking for guidance. If you want to abort this run, press Ctrl + C.
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Collecting inquirer<5.0,>=2.10.0 (from lightning>=2.0.1->pyannote.audio==3.1.1->whisperx==3.1.1->-r requirements.txt (line 3))
Using cached inquirer-3.2.4-py3-none-any.whl.metadata (6.8 kB)
Collecting lightning-cloud>=0.5.38 (from lightning>=2.0.1->pyannote.audio==3.1.1->whisperx==3.1.1->-r requirements.txt (line 3))
Using cached lightning_cloud-0.5.64-py3-none-any.whl.metadata (933 bytes)
Collecting python-multipart<2.0,>=0.0.5 (from lightning>=2.0.1->pyannote.audio==3.1.1->whisperx==3.1.1->-r requirements.txt (line 3))
Using cached python_multipart-0.0.9-py3-none-any.whl.metadata (2.5 kB)
Collecting starlette (from lightning>=2.0.1->pyannote.audio==3.1.1->whisperx==3.1.1->-r requirements.txt (line 3))
Using cached starlette-0.37.2-py3-none-any.whl.metadata (5.9 kB)
Collecting starsessions<2.0,>=1.2.1 (from lightning>=2.0.1->pyannote.audio==3.1.1->whisperx==3.1.1->-r requirements.txt (line 3))
Using cached starsessions-1.3.0-py3-none-any.whl.metadata (8.2 kB)
Collecting urllib3<4.0 (from lightning>=2.0.1->pyannote.audio==3.1.1->whisperx==3.1.1->-r requirements.txt (line 3))
Using cached urllib3-2.2.1-py3-none-any.whl.metadata (6.4 kB)
Collecting uvicorn<2.0 (from lightning>=2.0.1->pyannote.audio==3.1.1->whisperx==3.1.1->-r requirements.txt (line 3))
Using cached uvicorn-0.27.1-py3-none-any.whl.metadata (6.3 kB)
Collecting websocket-client<3.0 (from lightning>=2.0.1->pyannote.audio==3.1.1->whisperx==3.1.1->-r requirements.txt (line 3))
Using cached websocket_client-1.7.0-py3-none-any.whl.metadata (7.9 kB)
Collecting websockets<13.0 (from lightning>=2.0.1->pyannote.audio==3.1.1->whisperx==3.1.1->-r requirements.txt (line 3))
Using cached websockets-12.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.6 kB)
Collecting lightning>=2.0.1 (from pyannote.audio==3.1.1->whisperx==3.1.1->-r requirements.txt (line 3))
Using cached lightning-2.0.9-py3-none-any.whl.metadata (41 kB)
Using cached lightning-2.0.8-py3-none-any.whl.metadata (41 kB)
Using cached lightning-2.0.7-py3-none-any.whl.metadata (41 kB)
Using cached lightning-2.0.6-py3-none-any.whl.metadata (41 kB)
Using cached lightning-2.0.5-py3-none-any.whl.metadata (41 kB)
Using cached lightning-2.0.4-py3-none-any.whl.metadata (41 kB)
Collecting croniter<1.4.0,>=1.3.0 (from lightning>=2.0.1->pyannote.audio==3.1.1->whisperx==3.1.1->-r requirements.txt (line 3))
Using cached croniter-1.3.15-py2.py3-none-any.whl.metadata (23 kB)
INFO: pip is looking at multiple versions of lightning to determine which version is compatible with other requirements. This could take a while.
Collecting lightning>=2.0.1 (from pyannote.audio==3.1.1->whisperx==3.1.1->-r requirements.txt (line 3))
Using cached lightning-2.0.3-py3-none-any.whl.metadata (41 kB)
Collecting fastapi<0.89.0,>=0.69.0 (from lightning>=2.0.1->pyannote.audio==3.1.1->whisperx==3.1.1->-r requirements.txt (line 3))
Using cached fastapi-0.88.0-py3-none-any.whl.metadata (24 kB)
Collecting lightning>=2.0.1 (from pyannote.audio==3.1.1->whisperx==3.1.1->-r requirements.txt (line 3))
Using cached lightning-2.0.2-py3-none-any.whl.metadata (34 kB)
Using cached lightning-2.0.1.post0-py3-none-any.whl.metadata (35 kB)
Using cached lightning-2.0.1-py3-none-any.whl.metadata (35 kB)
Collecting fsspec[http]>2021.06.0 (from pytorch-lightning<=2.0.7,>=2.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached fsspec-2023.12.2-py3-none-any.whl.metadata (6.8 kB)
Collecting websockets<12.0 (from lightning>=2.0.1->pyannote.audio==3.1.1->whisperx==3.1.1->-r requirements.txt (line 3))
Using cached websockets-11.0.3-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.6 kB)
Collecting contourpy>=1.0.1 (from matplotlib->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached contourpy-1.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.9 kB)
Using cached contourpy-1.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.7 kB)
Using cached contourpy-1.0.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.8 kB)
Using cached contourpy-1.0.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.5 kB)
Using cached contourpy-1.0.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.3 kB)
Using cached contourpy-1.0.4.tar.gz (12.2 MB)
Installing build dependencies ... done
Getting requirements to build wheel ... done
Installing backend dependencies ... done
Preparing metadata (pyproject.toml) ... done
Using cached contourpy-1.0.3.tar.gz (12.2 MB)
Installing build dependencies ... done
Getting requirements to build wheel ... done
Installing backend dependencies ... done
Preparing metadata (pyproject.toml) ... done
Using cached contourpy-1.0.2.tar.gz (12.2 MB)
Installing build dependencies ... done
Getting requirements to build wheel ... done
Installing backend dependencies ... done
Preparing metadata (pyproject.toml) ... done
Using cached contourpy-1.0.1.tar.gz (11.3 MB)
Installing build dependencies ... done
Getting requirements to build wheel ... done
Installing backend dependencies ... done
Preparing metadata (pyproject.toml) ... done
Collecting texterrors (from nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached texterrors-0.4.3.tar.gz (20 kB)
Preparing metadata (setup.py) ... done
Using cached texterrors-0.4.2.tar.gz (20 kB)
Preparing metadata (setup.py) ... done
Using cached texterrors-0.4.0.tar.gz (20 kB)
Preparing metadata (setup.py) ... done
Collecting jieba (from texterrors->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached jieba-0.42.1-py3-none-any.whl
Collecting texterrors (from nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached texterrors-0.3.2.tar.gz (19 kB)
Preparing metadata (setup.py) ... done
Using cached texterrors-0.3.1.tar.gz (19 kB)
Preparing metadata (setup.py) ... done
Using cached texterrors-0.3.0.tar.gz (19 kB)
Preparing metadata (setup.py) ... done
Using cached texterrors-0.2.3.tar.gz (19 kB)
Preparing metadata (setup.py) ... done
Using cached texterrors-0.2.2.tar.gz (19 kB)
Preparing metadata (setup.py) ... done
Using cached texterrors-0.2.1.tar.gz (19 kB)
Preparing metadata (setup.py) ... done
Using cached texterrors-0.2.0.tar.gz (19 kB)
Preparing metadata (setup.py) ... done
Using cached texterrors-0.1.3.tar.gz (19 kB)
Preparing metadata (setup.py) ... done
Using cached texterrors-0.1.2.tar.gz (19 kB)
Preparing metadata (setup.py) ... done
Using cached texterrors-0.1.0.tar.gz (19 kB)
Preparing metadata (setup.py) ... done
Using cached texterrors-0.0.4.tar.gz (19 kB)
Preparing metadata (setup.py) ... done
Using cached texterrors-0.0.3.tar.gz (19 kB)
Preparing metadata (setup.py) ... done
Collecting tensorboard (from nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached tensorboard-2.16.1-py3-none-any.whl.metadata (1.6 kB)
Collecting tf-keras>=2.15.0 (from tensorboard->nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached tf_keras-2.15.0-py3-none-any.whl.metadata (1.6 kB)
Collecting tensorboard (from nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached tensorboard-2.16.0-py3-none-any.whl.metadata (1.6 kB)
Collecting tf-keras-nightly (from tensorboard->nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached tf_keras_nightly-2.17.0.dev2024030610-py3-none-any.whl.metadata (1.6 kB)
Collecting tensorboard (from nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached tensorboard-2.15.2-py3-none-any.whl.metadata (1.7 kB)
Collecting google-auth<3,>=1.6.3 (from tensorboard->nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached google_auth-2.28.1-py2.py3-none-any.whl.metadata (4.7 kB)
Collecting google-auth-oauthlib<2,>=0.5 (from tensorboard->nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Using cached google_auth_oauthlib-1.2.0-py2.py3-none-any.whl.metadata (2.7 kB)
Collecting tensorboard (from nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Downloading tensorboard-2.15.1-py3-none-any.whl.metadata (1.7 kB)
Collecting protobuf>=3.20.2 (from onnx>=1.7.0->nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Downloading protobuf-4.23.4-cp37-abi3-manylinux2014_x86_64.whl.metadata (540 bytes)
Collecting tensorboard (from nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Downloading tensorboard-2.15.0-py3-none-any.whl.metadata (1.7 kB)
Downloading tensorboard-2.14.1-py3-none-any.whl.metadata (1.7 kB)
Collecting google-auth-oauthlib<1.1,>=0.5 (from tensorboard->nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Downloading google_auth_oauthlib-1.0.0-py2.py3-none-any.whl.metadata (2.7 kB)
Collecting tensorboard (from nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Downloading tensorboard-2.14.0-py3-none-any.whl.metadata (1.8 kB)
Downloading tensorboard-2.13.0-py3-none-any.whl.metadata (1.8 kB)
Downloading tensorboard-2.12.3-py3-none-any.whl.metadata (1.8 kB)
Downloading tensorboard-2.12.2-py3-none-any.whl.metadata (1.8 kB)
Collecting tensorboard-plugin-wit>=1.6.0 (from tensorboard->nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Downloading tensorboard_plugin_wit-1.8.1-py3-none-any.whl.metadata (873 bytes)
Collecting tensorboard (from nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Downloading tensorboard-2.12.1-py3-none-any.whl.metadata (1.8 kB)
Downloading tensorboard-2.12.0-py3-none-any.whl.metadata (1.8 kB)
Collecting google-auth-oauthlib<0.5,>=0.4.1 (from tensorboard->nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Downloading google_auth_oauthlib-0.4.6-py2.py3-none-any.whl.metadata (2.7 kB)
Collecting tensorboard (from nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Downloading tensorboard-2.11.2-py3-none-any.whl.metadata (1.9 kB)
Collecting protobuf>=3.20.2 (from onnx>=1.7.0->nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Downloading protobuf-3.20.3-py2.py3-none-any.whl.metadata (720 bytes)
Collecting tensorboard-data-server<0.7.0,>=0.6.0 (from tensorboard->nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Downloading tensorboard_data_server-0.6.1-py3-none-manylinux2010_x86_64.whl.metadata (1.1 kB)
Collecting tensorboard (from nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Downloading tensorboard-2.11.0-py3-none-any.whl.metadata (1.9 kB)
Downloading tensorboard-2.10.1-py3-none-any.whl.metadata (1.9 kB)
INFO: pip is looking at multiple versions of tensorboard to determine which version is compatible with other requirements. This could take a while.
Downloading tensorboard-2.10.0-py3-none-any.whl.metadata (1.9 kB)
Downloading tensorboard-2.9.1-py3-none-any.whl.metadata (1.9 kB)
Downloading tensorboard-2.9.0-py3-none-any.whl.metadata (1.9 kB)
Downloading tensorboard-2.8.0-py3-none-any.whl.metadata (1.9 kB)
INFO: pip is still looking at multiple versions of tensorboard to determine which version is compatible with other requirements. This could take a while.
Downloading tensorboard-2.7.0-py3-none-any.whl.metadata (1.9 kB)
Downloading tensorboard-2.6.0-py3-none-any.whl.metadata (1.9 kB)
Collecting google-auth<2,>=1.6.3 (from tensorboard->nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Downloading google_auth-1.35.0-py2.py3-none-any.whl.metadata (3.5 kB)
INFO: This is taking longer than usual. You might need to provide the dependency resolver with stricter constraints to reduce runtime. See https://pip.pypa.io/warnings/backtracking for guidance. If you want to abort this run, press Ctrl + C.
Collecting tensorboard (from nemo_toolkit==1.22.0->nemo_toolkit[asr]==1.22.0->-r requirements.txt (line 2))
Downloading tensorboard-2.5.0-py3-none-any.whl.metadata (2.0 kB)
Downloading tensorboard-2.4.1-py3-none-any.whl.metadata (2.0 kB)
Downloading tensorboard-2.4.0-py3-none-any.whl.metadata (2.0 kB)
Downloading tensorboard-2.3.0-py3-none-any.whl.metadata (2.0 kB)
Downloading tensorboard-2.2.2-py3-none-any.whl.metadata (2.0 kB)
Downloading tensorboard-2.2.1-py3-none-any.whl.metadata (2.0 kB)
Downloading tensorboard-2.2.0-py3-none-any.whl.metadata (2.0 kB)
Downloading tensorboard-2.1.1-py3-none-any.whl.metadata (1.9 kB)
Downloading tensorboard-2.1.0-py3-none-any.whl.metadata (1.9 kB)
Downloading tensorboard-2.0.2-py3-none-any.whl.metadata (1.9 kB)
Downloading tensorboard-2.0.1-py3-none-any.whl.metadata (1.9 kB)
Downloading tensorboard-2.0.0-py3-none-any.whl.metadata (1.8 kB)
Downloading tensorboard-1.15.0-py3-none-any.whl.metadata (1.8 kB)
ERROR: Exception:
Traceback (most recent call last):
File "/home/epyc/whisper-diarization/.venv/lib/python3.11/site-packages/pip/_internal/cli/base_command.py", line 180, in exc_logging_wrapper
status = run_func(*args)
^^^^^^^^^^^^^^^
File "/home/epyc/whisper-diarization/.venv/lib/python3.11/site-packages/pip/_internal/cli/req_command.py", line 245, in wrapper
return func(self, options, args)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/epyc/whisper-diarization/.venv/lib/python3.11/site-packages/pip/_internal/commands/install.py", line 377, in run
requirement_set = resolver.resolve(
^^^^^^^^^^^^^^^^^
File "/home/epyc/whisper-diarization/.venv/lib/python3.11/site-packages/pip/_internal/resolution/resolvelib/resolver.py", line 95, in resolve
result = self._result = resolver.resolve(
^^^^^^^^^^^^^^^^^
File "/home/epyc/whisper-diarization/.venv/lib/python3.11/site-packages/pip/_vendor/resolvelib/resolvers.py", line 546, in resolve
state = resolution.resolve(requirements, max_rounds=max_rounds)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/epyc/whisper-diarization/.venv/lib/python3.11/site-packages/pip/_vendor/resolvelib/resolvers.py", line 457, in resolve
raise ResolutionTooDeep(max_rounds)
pip._vendor.resolvelib.resolvers.ResolutionTooDeep: 200000
Went on for 10+ hours
Can you confirm what version of python you're using? I suggest 3.9 in case you're using something newer.
Can you confirm what version of python you're using? I suggest 3.9 in case you're using something newer.
3.11.8. Got it working by manually installing each requirement. With 3.11.8 you have to upgrade wheel otherwise you get the following error:
error: subprocess-exited-with-error
× Getting requirements to build wheel did not run successfully.
│ exit code: 1
╰─> [20 lines of output]
Traceback (most recent call last):
File "/home/epyc/whisper-diarization/.venv2/lib/python3.11/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 353, in <module>
main()
File "/home/epyc/whisper-diarization/.venv2/lib/python3.11/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 335, in main
json_out['return_val'] = hook(**hook_input['kwargs'])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/epyc/whisper-diarization/.venv2/lib/python3.11/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 118, in get_requires_for_build_wheel
return hook(config_settings)
^^^^^^^^^^^^^^^^^^^^^
File "/tmp/pip-build-env-cwn8sl85/overlay/lib/python3.11/site-packages/setuptools/build_meta.py", line 325, in get_requires_for_build_wheel
return self._get_build_requires(config_settings, requirements=['wheel'])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/tmp/pip-build-env-cwn8sl85/overlay/lib/python3.11/site-packages/setuptools/build_meta.py", line 295, in _get_build_requires
self.run_setup()
File "/tmp/pip-build-env-cwn8sl85/overlay/lib/python3.11/site-packages/setuptools/build_meta.py", line 487, in run_setup
super().run_setup(setup_script=setup_script)
File "/tmp/pip-build-env-cwn8sl85/overlay/lib/python3.11/site-packages/setuptools/build_meta.py", line 311, in run_setup
exec(code, locals())
File "<string>", line 5, in <module>
ModuleNotFoundError: No module named 'Cython'
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
error: subprocess-exited-with-error
× Getting requirements to build wheel did not run successfully.
│ exit code: 1
╰─> See above for output.
Here is the pip freeze:
absl-py==2.1.0
aiohttp==3.9.3
aiosignal==1.3.1
alembic==1.13.1
annotated-types==0.6.0
antlr4-python3-runtime==4.9.3
appdirs==1.4.4
asteroid-filterbanks==0.4.0
asttokens==2.4.1
attrs==23.2.0
audioread==3.0.1
av==11.0.0
braceexpand==0.1.7
certifi==2024.2.2
cffi==1.16.0
charset-normalizer==3.3.2
click==8.1.7
cloudpickle==3.0.0
cmake==3.28.3
colorama==0.4.6
coloredlogs==15.0.1
colorlog==6.8.2
comm==0.2.1
contourpy==1.2.0
ctranslate2==4.0.0
cycler==0.12.1
Cython==3.0.9
cytoolz==0.12.3
datasets==2.18.0
decorator==5.1.1
deepmultilingualpunctuation==1.0.1
demucs @ git+https://github.com/facebookresearch/demucs@e976d93ecc3865e5757426930257e200846a520a
dill==0.3.8
Distance==0.1.3
docker-pycreds==0.4.0
docopt==0.6.2
dora_search==0.1.12
editdistance==0.8.1
einops==0.7.0
executing==2.0.1
faster-whisper==1.0.0
filelock==3.13.1
flatbuffers==24.3.6
fonttools==4.49.0
frozenlist==1.4.1
fsspec==2024.2.0
future==1.0.0
g2p-en==2.1.0
gitdb==4.0.11
GitPython==3.1.42
greenlet==3.0.3
grpcio==1.62.0
huggingface-hub==0.21.4
humanfriendly==10.0
hydra-core==1.3.2
HyperPyYAML==1.2.2
idna==3.6
inflect==7.0.0
intervaltree==3.1.0
ipython==8.22.2
ipywidgets==8.1.2
jedi==0.19.1
Jinja2==3.1.3
jiwer==3.0.3
joblib==1.3.2
julius==0.2.7
jupyterlab_widgets==3.0.10
kaldi-python-io==1.2.2
kaldiio==2.18.0
kiwisolver==1.4.5
lameenc==1.7.0
lazy_loader==0.3
Levenshtein==0.25.0
lhotse==1.21.0
librosa==0.10.1
lightning==2.2.1
lightning-utilities==0.10.1
lilcom==1.7
lit==17.0.6
llvmlite==0.42.0
loguru==0.7.2
Mako==1.3.2
Markdown==3.5.2
markdown-it-py==3.0.0
MarkupSafe==2.1.5
marshmallow==3.21.1
matplotlib==3.8.3
matplotlib-inline==0.1.6
mdurl==0.1.2
mpmath==1.3.0
msgpack==1.0.8
multidict==6.0.5
multiprocess==0.70.16
nemo_toolkit==1.23.0
networkx==3.2.1
nltk==3.8.1
numba==0.59.0
numpy==1.26.4
nvidia-cublas-cu11==11.10.3.66
nvidia-cublas-cu12==12.1.3.1
nvidia-cuda-cupti-cu11==11.7.101
nvidia-cuda-cupti-cu12==12.1.105
nvidia-cuda-nvrtc-cu11==11.7.99
nvidia-cuda-nvrtc-cu12==12.1.105
nvidia-cuda-runtime-cu11==11.7.99
nvidia-cuda-runtime-cu12==12.1.105
nvidia-cudnn-cu11==8.5.0.96
nvidia-cudnn-cu12==8.9.2.26
nvidia-cufft-cu11==10.9.0.58
nvidia-cufft-cu12==11.0.2.54
nvidia-curand-cu11==10.2.10.91
nvidia-curand-cu12==10.3.2.106
nvidia-cusolver-cu11==11.4.0.1
nvidia-cusolver-cu12==11.4.5.107
nvidia-cusparse-cu11==11.7.4.91
nvidia-cusparse-cu12==12.1.0.106
nvidia-nccl-cu11==2.14.3
nvidia-nccl-cu12==2.19.3
nvidia-nvjitlink-cu12==12.4.99
nvidia-nvtx-cu11==11.7.91
nvidia-nvtx-cu12==12.1.105
omegaconf==2.3.0
onnx==1.15.0
onnxruntime==1.17.1
openunmix==1.2.1
optuna==3.5.0
packaging==23.2
pandas==2.2.1
parso==0.8.3
pexpect==4.9.0
pillow==10.2.0
plac==1.4.3
platformdirs==4.2.0
pooch==1.8.1
primePy==1.3
prompt-toolkit==3.0.43
protobuf==4.25.3
psutil==5.9.8
ptyprocess==0.7.0
pure-eval==0.2.2
pyannote.audio==3.1.1
pyannote.core==5.0.0
pyannote.database==5.0.1
pyannote.metrics==3.2.1
pyannote.pipeline==3.0.1
pyarrow==15.0.0
pyarrow-hotfix==0.6
pybind11==2.11.1
pycparser==2.21
pydantic==2.6.3
pydantic_core==2.16.3
pydub==0.25.1
Pygments==2.17.2
pyloudnorm==0.1.1
pyparsing==3.1.2
python-dateutil==2.9.0.post0
pytorch-lightning==2.0.7
pytorch-metric-learning==2.4.1
pytz==2024.1
PyYAML==6.0.1
rapidfuzz==3.6.2
regex==2023.12.25
requests==2.31.0
resampy==0.4.3
retrying==1.3.4
rich==13.7.1
ruamel.yaml==0.18.6
ruamel.yaml.clib==0.2.8
sacremoses==0.1.1
safetensors==0.4.2
scikit-learn==1.4.1.post1
scipy==1.12.0
semver==3.0.2
sentencepiece==0.2.0
sentry-sdk==1.41.0
setproctitle==1.3.3
shellingham==1.5.4
six==1.16.0
smmap==5.0.1
sortedcontainers==2.4.0
soundfile==0.12.1
sox==1.4.1
soxr==0.3.7
speechbrain==1.0.0
SQLAlchemy==2.0.28
stack-data==0.6.3
submitit==1.5.1
sympy==1.12
tabulate==0.9.0
tensorboard==2.16.2
tensorboard-data-server==0.7.2
tensorboardX==2.6.2.2
termcolor==2.4.0
text-unidecode==1.3
texterrors==0.4.4
threadpoolctl==3.3.0
tokenizers==0.15.2
toolz==0.12.1
torch==2.0.1
torch-audiomentations==0.11.1
torch-pitch-shift==1.2.4
torchaudio==2.0.2
torchmetrics==1.3.1
tqdm==4.66.2
traitlets==5.14.1
transformers==4.38.2
treetable==0.2.5
triton==2.0.0
typer==0.9.0
typing_extensions==4.10.0
tzdata==2024.1
urllib3==2.2.1
wandb==0.16.4
wcwidth==0.2.13
webdataset==0.1.62
Werkzeug==3.0.1
wget==3.2
whisperx @ git+https://github.com/m-bain/whisperX.git@78dcfaab51005aa703ee21375f81ed31bc248560
widgetsnbextension==4.0.10
wrapt==1.16.0
xxhash==3.4.1
yarl==1.9.4
youtokentome==1.0.6
There's something with the Docker build files. Installing from requirements.txt makes it install seemingly every available version of the required pip packages, leading to lines like this:
`
`