dfaligner extract-alignments does not work in regression

[joanise]

Bug description

While trying to add dfaligner extract-alignments to the regression test suite, I got a stack dump finishing on KeyError: 'character_tokens' from dfaligner/dataset.py:165.

How to reproduce the bug

cd everyvoice/tests/regression
sbatch go.sh
# wait until tests finish
cd regress-<date>-XXX
dfaligner train config/everyvoice-aligner.yaml --config-args training.max_steps=1000
dfaligner extract-alignments config/everyvoice-aligner.yaml --model logs_and_checkpoints/AlignerExperiment/base/checkpoints/last.ckpt

Error messages and logs

$ dfaligner extract-alignments config/everyvoice-aligner.yaml --model logs_and_checkpoints/AlignerExperiment/base/checkpoints/last.ckpt
2025-01-31 15:47:56.997 | INFO     | dfaligner.cli:extract_alignments:144 - Loading modules for alignment...
Loading EveryVoice modules:  83%|██████████████████████████████████████████████████████████████████████████████████████████████████████▌                    | 5/6 [00:06<00:01,  1.25s/it]GPU available: True (cuda), used: True
TPU available: False, using: 0 TPU cores
HPU available: False, using: 0 HPUs
You are using a CUDA device ('NVIDIA A100-SXM4-40GB') that has Tensor Cores. To properly utilize them, you should set `torch.set_float32_matmul_precision('medium' | 'high')` which will trade-off precision for performance. For more details, read https://pytorch.org/docs/stable/generated/torch.set_float32_matmul_precision.html#torch.set_float32_matmul_precision
LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]
SLURM auto-requeueing enabled. Setting signal handlers.
/gpfs/fs3c/nrc/ict/portage/u/joa125/miniforge3/envs/ev-torch241/lib/python3.10/site-packages/pytorch_lightning/trainer/connectors/data_connector.py:425: The 'predict_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=15` in the `DataLoader` to improve performance.
Predicting: |                                                                                                                                                       | 0/? [00:00<?, ?it/s]╭────────────────────────────────────────────────────────────────────────── Traceback (most recent call last) ───────────────────────────────────────────────────────────────────────────╮
│ /gpfs/fs3c/nrc/ict/portage/u/joa125/EveryVoice/EveryVoice/everyvoice/model/aligner/DeepForcedAligner/dfaligner/cli.py:197 in extract_alignments                                        │
│                                                                                                                                                                                        │
│   194 │   │   │   # TODO: check into the best way to update config from re-loaded model                                                                                                │
│   195 │   │   │   # model.update_config(config)                                                                                                                                        │
│   196 │   │   │   model.config = config                                                                                                                                                │
│ ❱ 197 │   │   │   trainer.predict(model, dataloaders=data)                                                                                                                             │
│   198 │   │   else:                                                                                                                                                                    │
│   199 │   │   │   trainer.predict(dataloaders=data)                                                                                                                                    │
│   200 │   SEP = "--"                                                                                                                                                                   │
│                                                                                                                                                                                        │
│ /gpfs/fs3c/nrc/ict/portage/u/joa125/miniforge3/envs/ev-torch241/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py:859 in predict                                       │
│                                                                                                                                                                                        │
│    856 │   │   self.state.fn = TrainerFn.PREDICTING                                                                                                                                    │
│    857 │   │   self.state.status = TrainerStatus.RUNNING                                                                                                                               │
│    858 │   │   self.predicting = True                                                                                                                                                  │
│ ❱  859 │   │   return call._call_and_handle_interrupt(                                                                                                                                 │
│    860 │   │   │   self, self._predict_impl, model, dataloaders, datamodule, return_predictions                                                                                        │
│    861 │   │   )                                                                                                                                                                       │
│    862                                                                                                                                                                                 │
│                                                                                                                                                                                        │
│ /gpfs/fs3c/nrc/ict/portage/u/joa125/miniforge3/envs/ev-torch241/lib/python3.10/site-packages/pytorch_lightning/trainer/call.py:47 in _call_and_handle_interrupt                        │
│                                                                                                                                                                                        │
│    44 │   try:                                                                                                                                                                         │
│    45 │   │   if trainer.strategy.launcher is not None:                                                                                                                                │
│    46 │   │   │   return trainer.strategy.launcher.launch(trainer_fn, *args, trainer=trainer,                                                                                          │
│ ❱  47 │   │   return trainer_fn(*args, **kwargs)                                                                                                                                       │
│    48 │                                                                                                                                                                                │
│    49 │   except _TunerExitException:                                                                                                                                                  │
│    50 │   │   _call_teardown_hook(trainer)                                                                                                                                             │
│                                                                                                                                                                                        │
│ /gpfs/fs3c/nrc/ict/portage/u/joa125/miniforge3/envs/ev-torch241/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py:898 in _predict_impl                                 │
│                                                                                                                                                                                        │
│    895 │   │   ckpt_path = self._checkpoint_connector._select_ckpt_path(                                                                                                               │
│    896 │   │   │   self.state.fn, ckpt_path, model_provided=model_provided, model_connected=sel                                                                                        │
│    897 │   │   )                                                                                                                                                                       │
│ ❱  898 │   │   results = self._run(model, ckpt_path=ckpt_path)                                                                                                                         │
│    899 │   │                                                                                                                                                                           │
│    900 │   │   assert self.state.stopped                                                                                                                                               │
│    901 │   │   self.predicting = False                                                                                                                                                 │
│                                                                                                                                                                                        │
│ /gpfs/fs3c/nrc/ict/portage/u/joa125/miniforge3/envs/ev-torch241/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py:982 in _run                                          │
│                                                                                                                                                                                        │
│    979 │   │   # ----------------------------                                                                                                                                          │
│    980 │   │   # RUN THE TRAINER                                                                                                                                                       │
│    981 │   │   # ----------------------------                                                                                                                                          │
│ ❱  982 │   │   results = self._run_stage()                                                                                                                                             │
│    983 │   │                                                                                                                                                                           │
│    984 │   │   # ----------------------------                                                                                                                                          │
│    985 │   │   # POST-Training CLEAN UP                                                                                                                                                │
│                                                                                                                                                                                        │
│ /gpfs/fs3c/nrc/ict/portage/u/joa125/miniforge3/envs/ev-torch241/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py:1021 in _run_stage                                   │
│                                                                                                                                                                                        │
│   1018 │   │   if self.evaluating:                                                                                                                                                     │
│   1019 │   │   │   return self._evaluation_loop.run()                                                                                                                                  │
│   1020 │   │   if self.predicting:                                                                                                                                                     │
│ ❱ 1021 │   │   │   return self.predict_loop.run()                                                                                                                                      │
│   1022 │   │   if self.training:                                                                                                                                                       │
│   1023 │   │   │   with isolate_rng():                                                                                                                                                 │
│   1024 │   │   │   │   self._run_sanity_check()                                                                                                                                        │
│                                                                                                                                                                                        │
│ /gpfs/fs3c/nrc/ict/portage/u/joa125/miniforge3/envs/ev-torch241/lib/python3.10/site-packages/pytorch_lightning/loops/utilities.py:179 in _decorator                                    │
│                                                                                                                                                                                        │
│   176 │   │   else:                                                                                                                                                                    │
│   177 │   │   │   context_manager = torch.no_grad                                                                                                                                      │
│   178 │   │   with context_manager():                                                                                                                                                  │
│ ❱ 179 │   │   │   return loop_run(self, *args, **kwargs)                                                                                                                               │
│   180 │                                                                                                                                                                                │
│   181 │   return _decorator                                                                                                                                                            │
│   182                                                                                                                                                                                  │
│                                                                                                                                                                                        │
│ /gpfs/fs3c/nrc/ict/portage/u/joa125/miniforge3/envs/ev-torch241/lib/python3.10/site-packages/pytorch_lightning/loops/prediction_loop.py:122 in run                                     │
│                                                                                                                                                                                        │
│   119 │   │   │   │   │   dataloader_idx = data_fetcher._dataloader_idx                                                                                                                │
│   120 │   │   │   │   else:                                                                                                                                                            │
│   121 │   │   │   │   │   dataloader_iter = None                                                                                                                                       │
│ ❱ 122 │   │   │   │   │   batch, batch_idx, dataloader_idx = next(data_fetcher)                                                                                                        │
│   123 │   │   │   │   self.batch_progress.is_last_batch = data_fetcher.done                                                                                                            │
│   124 │   │   │   │   # run step hooks                                                                                                                                                 │
│   125 │   │   │   │   self._predict_step(batch, batch_idx, dataloader_idx, dataloader_iter)                                                                                            │
│                                                                                                                                                                                        │
│ /gpfs/fs3c/nrc/ict/portage/u/joa125/miniforge3/envs/ev-torch241/lib/python3.10/site-packages/pytorch_lightning/loops/fetchers.py:134 in __next__                                       │
│                                                                                                                                                                                        │
│   131 │   │   │   │   self.done = not self.batches                                                                                                                                     │
│   132 │   │   elif not self.done:                                                                                                                                                      │
│   133 │   │   │   # this will run only when no pre-fetching was done.                                                                                                                  │
│ ❱ 134 │   │   │   batch = super().__next__()                                                                                                                                           │
│   135 │   │   else:                                                                                                                                                                    │
│   136 │   │   │   # the iterator is empty                                                                                                                                              │
│   137 │   │   │   raise StopIteration                                                                                                                                                  │
│                                                                                                                                                                                        │
│ /gpfs/fs3c/nrc/ict/portage/u/joa125/miniforge3/envs/ev-torch241/lib/python3.10/site-packages/pytorch_lightning/loops/fetchers.py:61 in __next__                                        │
│                                                                                                                                                                                        │
│    58 │   │   assert self.iterator is not None                                                                                                                                         │
│    59 │   │   self._start_profiler()                                                                                                                                                   │
│    60 │   │   try:                                                                                                                                                                     │
│ ❱  61 │   │   │   batch = next(self.iterator)                                                                                                                                          │
│    62 │   │   except StopIteration:                                                                                                                                                    │
│    63 │   │   │   self.done = True                                                                                                                                                     │
│    64 │   │   │   raise                                                                                                                                                                │
│                                                                                                                                                                                        │
│ /gpfs/fs3c/nrc/ict/portage/u/joa125/miniforge3/envs/ev-torch241/lib/python3.10/site-packages/pytorch_lightning/utilities/combined_loader.py:341 in __next__                            │
│                                                                                                                                                                                        │
│   338 │                                                                                                                                                                                │
│   339 │   def __next__(self) -> _ITERATOR_RETURN:                                                                                                                                      │
│   340 │   │   assert self._iterator is not None                                                                                                                                        │
│ ❱ 341 │   │   out = next(self._iterator)                                                                                                                                               │
│   342 │   │   if isinstance(self._iterator, _Sequential):                                                                                                                              │
│   343 │   │   │   return out                                                                                                                                                           │
│   344 │   │   out, batch_idx, dataloader_idx = out                                                                                                                                     │
│                                                                                                                                                                                        │
│ /gpfs/fs3c/nrc/ict/portage/u/joa125/miniforge3/envs/ev-torch241/lib/python3.10/site-packages/pytorch_lightning/utilities/combined_loader.py:142 in __next__                            │
│                                                                                                                                                                                        │
│   139 │   │   │   │   │   raise StopIteration                                                                                                                                          │
│   140 │   │                                                                                                                                                                            │
│   141 │   │   try:                                                                                                                                                                     │
│ ❱ 142 │   │   │   out = next(self.iterators[0])                                                                                                                                        │
│   143 │   │   except StopIteration:                                                                                                                                                    │
│   144 │   │   │   # try the next iterator                                                                                                                                              │
│   145 │   │   │   self._use_next_iterator()                                                                                                                                            │
│                                                                                                                                                                                        │
│ /gpfs/fs3c/nrc/ict/portage/u/joa125/miniforge3/envs/ev-torch241/lib/python3.10/site-packages/torch/utils/data/dataloader.py:630 in __next__                                            │
│                                                                                                                                                                                        │
│    627 │   │   │   if self._sampler_iter is None:                                                                                                                                      │
│    628 │   │   │   │   # TODO(https://github.com/pytorch/pytorch/issues/76750)                                                                                                         │
│    629 │   │   │   │   self._reset()  # type: ignore[call-arg]                                                                                                                         │
│ ❱  630 │   │   │   data = self._next_data()                                                                                                                                            │
│    631 │   │   │   self._num_yielded += 1                                                                                                                                              │
│    632 │   │   │   if self._dataset_kind == _DatasetKind.Iterable and \                                                                                                                │
│    633 │   │   │   │   │   self._IterableDataset_len_called is not None and \                                                                                                          │
│                                                                                                                                                                                        │
│ /gpfs/fs3c/nrc/ict/portage/u/joa125/miniforge3/envs/ev-torch241/lib/python3.10/site-packages/torch/utils/data/dataloader.py:673 in _next_data                                          │
│                                                                                                                                                                                        │
│    670 │                                                                                                                                                                               │
│    671 │   def _next_data(self):                                                                                                                                                       │
│    672 │   │   index = self._next_index()  # may raise StopIteration                                                                                                                   │
│ ❱  673 │   │   data = self._dataset_fetcher.fetch(index)  # may raise StopIteration                                                                                                    │
│    674 │   │   if self._pin_memory:                                                                                                                                                    │
│    675 │   │   │   data = _utils.pin_memory.pin_memory(data, self._pin_memory_device)                                                                                                  │
│    676 │   │   return data                                                                                                                                                             │
│                                                                                                                                                                                        │
│ /gpfs/fs3c/nrc/ict/portage/u/joa125/miniforge3/envs/ev-torch241/lib/python3.10/site-packages/torch/utils/data/_utils/fetch.py:52 in fetch                                              │
│                                                                                                                                                                                        │
│   49 │   │   │   if hasattr(self.dataset, "__getitems__") and self.dataset.__getitems__:                                                                                               │
│   50 │   │   │   │   data = self.dataset.__getitems__(possibly_batched_index)                                                                                                          │
│   51 │   │   │   else:                                                                                                                                                                 │
│ ❱ 52 │   │   │   │   data = [self.dataset[idx] for idx in possibly_batched_index]                                                                                                      │
│   53 │   │   else:                                                                                                                                                                     │
│   54 │   │   │   data = self.dataset[possibly_batched_index]                                                                                                                           │
│   55 │   │   return self.collate_fn(data)                                                                                                                                              │
│                                                                                                                                                                                        │
│ /gpfs/fs3c/nrc/ict/portage/u/joa125/miniforge3/envs/ev-torch241/lib/python3.10/site-packages/torch/utils/data/_utils/fetch.py:52 in <listcomp>                                         │
│                                                                                                                                                                                        │
│   49 │   │   │   if hasattr(self.dataset, "__getitems__") and self.dataset.__getitems__:                                                                                               │
│   50 │   │   │   │   data = self.dataset.__getitems__(possibly_batched_index)                                                                                                          │
│   51 │   │   │   else:                                                                                                                                                                 │
│ ❱ 52 │   │   │   │   data = [self.dataset[idx] for idx in possibly_batched_index]                                                                                                      │
│   53 │   │   else:                                                                                                                                                                     │
│   54 │   │   │   data = self.dataset[possibly_batched_index]                                                                                                                           │
│   55 │   │   return self.collate_fn(data)                                                                                                                                              │
│                                                                                                                                                                                        │
│ /gpfs/fs3c/nrc/ict/portage/u/joa125/EveryVoice/EveryVoice/everyvoice/model/aligner/DeepForcedAligner/dfaligner/dataset.py:165 in __getitem__                                           │
│                                                                                                                                                                                        │
│   162 │   │   │   case TargetTrainingTextRepresentationLevel.characters:                                                                                                               │
│   163 │   │   │   │   text_tokens = torch.IntTensor(                                                                                                                                   │
│   164 │   │   │   │   │   self.text_processor.encode_escaped_string_sequence(                                                                                                          │
│ ❱ 165 │   │   │   │   │   │   item["character_tokens"]                                                                                                                                 │
│   166 │   │   │   │   │   )                                                                                                                                                            │
│   167 │   │   │   │   )                                                                                                                                                                │
│   168 │   │   │   case (                                                                                                                                                               │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
KeyError: 'character_tokens'
Loading EveryVoice modules: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 6/6 [02:56<00:00, 29.36s/it]
Predicting: |          | 0/? [00:00<?, ?it/s]

Environment

Current environment

Note: the problem was noticed with the following env using torch 2.4.1, but it was reproduced with the same trace with torch 2.3.1, our current torch version.

$ ..everyvoice --diagnostic
EveryVoice Diagnostic information
EveryVoice version: 0.3.0
Python version: 3.10.16 | packaged by conda-forge | (main, Dec  5 2024, 14:16:10) [GCC 13.3.0]
System: Linux 5.15.0-126-generic #136-Ubuntu SMP Wed Nov 6 10:38:22 UTC 2024 x86_64
torch modules installed using pip:

pytorch-lightning==2.5.0.post0

torch==2.4.1

torchaudio==2.4.1

torchinfo==1.8.0

torchmetrics==1.6.1
Other modules installed using pip:

absl-py==2.1.0

aiofiles==23.2.1

aiohappyeyeballs==2.4.4

aiohttp==3.11.11

aiosignal==1.3.2

annotated-types==0.7.0

anyio==4.8.0

anytree==2.12.1

arrow==1.3.0

async-timeout==5.0.1

attrs==24.3.0

audioread==3.0.1

babel==2.16.0

black==24.10.0

certifi==2024.12.14

cffi==1.17.1

cfgv==3.4.0

charset-normalizer==3.4.1

chevron==0.14.0

click==8.1.8

clipdetect==0.1.4

colorama==0.4.6

coloredlogs==15.0.1

contourpy==1.3.1

coverage==7.6.10

cycler==0.12.1

Cython==3.0.11

decorator==5.1.1

deepdiff==8.1.1

-e git+ssh://[email protected]/EveryVoiceTTS/DeepForcedAligner.git@dde71ef0488811b0523c873115839d0fed41579b#egg=dfaligner&subdirectory=../../../../../everyvoice/model/aligner/DeepForcedAligner

distlib==0.3.9

dnspython==2.7.0

docopt==0.6.2

e==1.4.5

editdistance==0.8.1

einops==0.5.0

email_validator==2.2.0

et_xmlfile==2.0.0

-e git+ssh://[email protected]/EveryVoiceTTS/EveryVoice.git@0f10fe797cdf6dbef45f346b2b331ed45fdf76a4#egg=EveryVoice

exceptiongroup==1.2.2

fastapi==0.115.6

ffmpy==0.5.0

filelock==3.16.1

flake8==7.1.1

fonttools==4.55.3

frozenlist==1.5.0

-e git+ssh://[email protected]/EveryVoiceTTS/FastSpeech2_lightning.git@8d2ebc3a6bee5dc15bac8aeef32d69ed782593bd#egg=fs2l&subdirectory=../../../../../everyvoice/model/feature_prediction/FastSpeech2_lightning

fsspec==2024.12.0

g2p==2.2.0

ghp-import==2.1.0

gitlint-core==0.19.1

gradio==5.12.0

gradio_client==1.5.4

grapheme==0.6.0

griffe==1.5.5

grpcio==1.69.0

gunicorn==23.0.0

h11==0.14.0

-e git+ssh://[email protected]/EveryVoiceTTS/HiFiGAN_iSTFT_lightning.git@e56739cb6969642c1ad11ef501f3277560c2553f#egg=hfgl&subdirectory=../../../../../everyvoice/model/vocoder/HiFiGAN_iSTFT_lightning

hjson==3.1.0

httpcore==1.0.7

httpx==0.28.1

huggingface-hub==0.27.1

humanfriendly==10.0

identify==2.6.5

idna==3.10

importlib_metadata==8.5.0

importlib_resources==6.5.2

iniconfig==2.0.0

ipatok==0.4.2

isort==5.13.2

Jinja2==3.1.5

joblib==1.4.2

jsonschema==4.23.0

jsonschema-specifications==2024.10.1

kiwisolver==1.4.8

librosa==0.9.2

lightning==2.5.0.post0

lightning-utilities==0.11.9

lit==18.1.8

llvmlite==0.43.0

loguru==0.6.0

lxml==5.3.0

Markdown==3.7

markdown-it-py==3.0.0

MarkupSafe==2.1.5

matplotlib==3.9.4

mccabe==0.7.0

mdurl==0.1.2

merge-args==0.1.5

mergedeep==1.3.4

mike==2.1.3

mkdocs==1.6.1

mkdocs-autorefs==1.3.0

mkdocs-click==0.8.1

mkdocs-get-deps==0.2.0

mkdocs-macros-plugin==1.3.7

mkdocs-material==9.5.49

mkdocs-material-extensions==1.3.1

mkdocs-typer==0.0.3

mkdocstrings==0.27.0

mkdocstrings-python==1.13.0

mpmath==1.3.0

multidict==6.1.0

munkres==1.1.4

mypy==1.14.1

mypy-extensions==1.0.0

networkx==3.4.2

nltk==3.9.1

nodeenv==1.9.1

numba==0.60.0

numpy==1.26.4

nvidia-cublas-cu12==12.1.3.1

nvidia-cuda-cupti-cu12==12.1.105

nvidia-cuda-nvrtc-cu12==12.1.105

nvidia-cuda-runtime-cu12==12.1.105

nvidia-cudnn-cu12==9.1.0.70

nvidia-cufft-cu12==11.0.2.54

nvidia-curand-cu12==10.3.2.106

nvidia-cusolver-cu12==11.4.5.107

nvidia-cusparse-cu12==12.1.0.106

nvidia-nccl-cu12==2.20.5

nvidia-nvjitlink-cu12==12.6.85

nvidia-nvtx-cu12==12.1.105

openpyxl==3.1.5

orderly-set==5.2.3

orjson==3.10.14

packaging==24.2

paginate==0.5.7

pandas==2.2.3

panphon==0.20.0

pathspec==0.12.1

pep440==0.1.2

pillow==11.1.0

pipdeptree==2.24.0

platformdirs==4.3.6

pluggy==1.5.0

pooch==1.8.2

pre_commit==4.0.1

prompt_toolkit==3.0.48

propcache==0.2.1

protobuf==4.25.5

pycodestyle==2.12.1

pycountry==22.3.5

pycparser==2.22

pydantic==2.7.4

pydantic_core==2.18.4

pydub==0.25.1

pyflakes==3.2.0

Pygments==2.19.1

pymdown-extensions==10.14

pympi-ling==1.70.2

pyparsing==3.2.1

pysdtw==0.0.5

pytest==7.4.4

python-dateutil==2.9.0.post0

python-multipart==0.0.20

python-slugify==5.0.0

pytz==2024.2

pyworld==0.3.4

PyYAML==6.0.2

pyyaml_env_tag==0.1

questionary==1.10.0

-e git+ssh://[email protected]/ReadAlongs/Studio.git@301a46afd1e425e9986b014c7d9c2b06b357fb46#egg=readalongs

referencing==0.35.1

regex==2024.11.6

requests==2.32.3

resampy==0.4.3

rich==13.9.4

rpds-py==0.22.3

ruff==0.9.1

safehttpx==0.1.6

scikit-learn==1.6.1

scipy==1.15.1

semantic-version==2.10.0

sh==2.2.1

shellingham==1.5.4

simple-term-menu==1.5.2

six==1.17.0

sniffio==1.3.1

soundfile==0.13.0

soundswallower==0.6.5

starlette==0.41.3

super_collections==0.5.3

sympy==1.13.3

tabulate==0.9.0

tensorboard==2.18.0

tensorboard-data-server==0.7.2

termcolor==2.3.0

text-unidecode==1.3

threadpoolctl==3.5.0

tomli==2.2.1

tomlkit==0.13.2

tqdm==4.67.1

triton==3.0.0

typer==0.15.1

types-python-dateutil==2.9.0.20241206

types-PyYAML==6.0.12.20241230

types-requests==2.32.0.20241016

types-setuptools==75.8.0.20250110

types-tabulate==0.9.0.0

types-tqdm==4.67.0.20241221

typing_extensions==4.12.2

tzdata==2024.2

unicodecsv==0.14.1

urllib3==2.3.0

uvicorn==0.34.0

verspec==0.1.0

virtualenv==20.28.1

watchdog==6.0.0

wcwidth==0.2.13

websockets==14.1

webvtt-py==0.4.2

Werkzeug==3.1.3

yarl==1.18.3

yaspin==3.1.0

zipp==3.21.0
Modules installed using conda:
Name                    Version                   Build  Channel
_libgcc_mutex             0.1                 conda_forge    conda-forge

_openmp_mutex             4.5                       2_gnu    conda-forge

aom                       3.9.1                hac33072_0    conda-forge

bzip2                     1.0.8                h4bc722e_7    conda-forge

ca-certificates           2024.12.14           hbcca054_0    conda-forge

cairo                     1.18.2               h3394656_1    conda-forge

dav1d                     1.2.1                hd590300_0    conda-forge

ffmpeg                    7.1.0           gpl_h099772d_709    conda-forge

font-ttf-dejavu-sans-mono 2.37                 hab24e00_0    conda-forge

font-ttf-inconsolata      3.000                h77eed37_0    conda-forge

font-ttf-source-code-pro  2.038                h77eed37_0    conda-forge

font-ttf-ubuntu           0.83                 h77eed37_3    conda-forge

fontconfig                2.15.0               h7e30c49_1    conda-forge

fonts-conda-ecosystem     1                             0    conda-forge

fonts-conda-forge         1                             0    conda-forge

freetype                  2.12.1               h267a509_2    conda-forge

fribidi                   1.0.10               h36c2ea0_0    conda-forge

gdk-pixbuf                2.42.12              hb9ae30d_0    conda-forge

gettext                   0.22.5               he02047a_3    conda-forge

gettext-tools             0.22.5               he02047a_3    conda-forge

gmp                       6.3.0                hac33072_2    conda-forge

graphite2                 1.3.13            h59595ed_1003    conda-forge

harfbuzz                  10.2.0               h4bba637_0    conda-forge

icu                       75.1                 he02047a_0    conda-forge

lame                      3.100             h166bdaf_1003    conda-forge

ld_impl_linux-64          2.43                 h712a8e2_2    conda-forge

lerc                      4.0.0                h27087fc_0    conda-forge

level-zero                1.20.1               h84d6215_0    conda-forge

libabseil                 20240722.0      cxx17_hbbce691_4    conda-forge

libasprintf               0.22.5               he8f35ee_3    conda-forge

libasprintf-devel         0.22.5               he8f35ee_3    conda-forge

libass                    0.17.3               hba53ac1_1    conda-forge

libdeflate                1.23                 h4ddbbb0_0    conda-forge

libdrm                    2.4.124              hb9d3cd8_0    conda-forge

libegl                    1.7.0                ha4b6fd6_2    conda-forge

libexpat                  2.6.4                h5888daf_0    conda-forge

libffi                    3.4.2                h7f98852_5    conda-forge

libflac                   1.4.3                h59595ed_0    conda-forge

libgcc                    14.2.0               h77fa898_1    conda-forge

libgcc-ng                 14.2.0               h69a702a_1    conda-forge

libgettextpo              0.22.5               he02047a_3    conda-forge

libgettextpo-devel        0.22.5               he02047a_3    conda-forge

libgl                     1.7.0                ha4b6fd6_2    conda-forge

libglib                   2.82.2               h2ff4ddf_0    conda-forge

libglvnd                  1.7.0                ha4b6fd6_2    conda-forge

libglx                    1.7.0                ha4b6fd6_2    conda-forge

libgomp                   14.2.0               h77fa898_1    conda-forge

libhwloc                  2.11.2          default_h0d58e46_1001    conda-forge

libiconv                  1.17                 hd590300_2    conda-forge

libjpeg-turbo             3.0.0                hd590300_1    conda-forge

liblzma                   5.6.3                hb9d3cd8_1    conda-forge

liblzma-devel             5.6.3                hb9d3cd8_1    conda-forge

libnsl                    2.0.1                hd590300_0    conda-forge

libogg                    1.3.5                h4ab18f5_0    conda-forge

libopenvino               2024.6.0             hac27bb2_3    conda-forge

libopenvino-auto-batch-plugin 2024.6.0             h4d9b6c2_3    conda-forge

libopenvino-auto-plugin   2024.6.0             h4d9b6c2_3    conda-forge

libopenvino-hetero-plugin 2024.6.0             h3f63f65_3    conda-forge

libopenvino-intel-cpu-plugin 2024.6.0             hac27bb2_3    conda-forge

libopenvino-intel-gpu-plugin 2024.6.0             hac27bb2_3    conda-forge

libopenvino-intel-npu-plugin 2024.6.0             hac27bb2_3    conda-forge

libopenvino-ir-frontend   2024.6.0             h3f63f65_3    conda-forge

libopenvino-onnx-frontend 2024.6.0             h6363af5_3    conda-forge

libopenvino-paddle-frontend 2024.6.0             h6363af5_3    conda-forge

libopenvino-pytorch-frontend 2024.6.0             h5888daf_3    conda-forge

libopenvino-tensorflow-frontend 2024.6.0             h630ec5c_3    conda-forge

libopenvino-tensorflow-lite-frontend 2024.6.0             h5888daf_3    conda-forge

libopus                   1.3.1                h7f98852_1    conda-forge

libpciaccess              0.18                 hd590300_0    conda-forge

libpng                    1.6.45               h943b412_0    conda-forge

libprotobuf               5.28.3               h6128344_1    conda-forge

librsvg                   2.58.4               h49af25d_2    conda-forge

libsndfile                1.2.2                hc60ed4a_1    conda-forge

libsqlite                 3.47.2               hee588c1_0    conda-forge

libstdcxx                 14.2.0               hc0a3c3a_1    conda-forge

libstdcxx-ng              14.2.0               h4852527_1    conda-forge

libtiff                   4.7.0                hd9ff511_3    conda-forge

libuuid                   2.38.1               h0b41bf4_0    conda-forge

libva                     2.22.0               h8a09558_1    conda-forge

libvorbis                 1.3.7                h9c3ff4c_0    conda-forge

libvpx                    1.14.1               hac33072_0    conda-forge

libwebp-base              1.5.0                h851e524_0    conda-forge

libxcb                    1.17.0               h8a09558_0    conda-forge

libxcrypt                 4.4.36               hd590300_1    conda-forge

libxml2                   2.13.5               h8d12d68_1    conda-forge

libzlib                   1.3.1                hb9d3cd8_2    conda-forge

mad                       0.15.1b              h9c3ff4c_1    conda-forge

mpg123                    1.32.9               hc50e24c_0    conda-forge

ncurses                   6.5                  h2d0b736_2    conda-forge

ocl-icd                   2.3.2                hb9d3cd8_2    conda-forge

opencl-headers            2024.10.24           h5888daf_0    conda-forge

openh264                  2.5.0                hf92e6e3_0    conda-forge

openssl                   3.4.0                h7b32b05_1    conda-forge

pango                     1.56.0               h861ebed_0    conda-forge

pcre2                     10.44                hba22ea6_2    conda-forge

pip                       24.3.1             pyh8b19718_2    conda-forge

pixman                    0.44.2               h29eaf8c_0    conda-forge

pthread-stubs             0.4               hb9d3cd8_1002    conda-forge

pugixml                   1.14                 h59595ed_0    conda-forge

python                    3.10.16         he725a3c_1_cpython    conda-forge

readline                  8.2                  h8228510_1    conda-forge

setuptools                75.8.0             pyhff2d567_0    conda-forge

shellcheck                0.10.0               ha770c72_0    conda-forge

snappy                    1.2.1                h8bd8927_1    conda-forge

sox                       14.4.2            h59a48fd_1020    conda-forge

svt-av1                   2.3.0                h5888daf_0    conda-forge

tbb                       2022.0.0             hceb3a55_0    conda-forge

tk                        8.6.13          noxft_h4845f30_101    conda-forge

wayland                   1.23.1               h3e06ad9_0    conda-forge

wayland-protocols         1.37                 hd8ed1ab_0    conda-forge

wheel                     0.45.1             pyhd8ed1ab_1    conda-forge

x264                      1!164.3095           h166bdaf_2    conda-forge

x265                      3.5                  h924138e_3    conda-forge

xorg-libice               1.1.2                hb9d3cd8_0    conda-forge

xorg-libsm                1.2.5                he73a12e_0    conda-forge

xorg-libx11               1.8.10               h4f16b4b_1    conda-forge

xorg-libxau               1.0.12               hb9d3cd8_0    conda-forge

xorg-libxdmcp             1.1.5                hb9d3cd8_0    conda-forge

xorg-libxext              1.3.6                hb9d3cd8_0    conda-forge

xorg-libxfixes            6.0.1                hb9d3cd8_0    conda-forge

xorg-libxrender           0.9.12               hb9d3cd8_0    conda-forge

zlib                      1.3.1                hb9d3cd8_2    conda-forge

zstd                      1.5.6                ha6fb4c9_0    conda-forge

More info

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