Running UD-pipeline with CPU results in ValueError: Gradient scaling is not supported

I want to run the universal dependency pipeline only with a cpu. While loading the model i get this error:

Traceback (most recent call last):
  File "/home/cyclonaut/Dokumente/workspaces/udSpacy/test.py", line 4, in <module>
    en_nlp = spacy.load("en_udv25_englishewt_trf")
  File "/home/cyclonaut/Dokumente/workspaces/udSpacy/lib/python3.10/site-packages/spacy/__init__.py", line 51, in load
    return util.load_model(
  File "/home/cyclonaut/Dokumente/workspaces/udSpacy/lib/python3.10/site-packages/spacy/util.py", line 420, in load_model
    return load_model_from_package(name, **kwargs)  # type: ignore[arg-type]
  File "/home/cyclonaut/Dokumente/workspaces/udSpacy/lib/python3.10/site-packages/spacy/util.py", line 453, in load_model_from_package
    return cls.load(vocab=vocab, disable=disable, exclude=exclude, config=config)  # type: ignore[attr-defined]
  File "/home/cyclonaut/Dokumente/workspaces/udSpacy/lib/python3.10/site-packages/en_udv25_englishewt_trf/__init__.py", line 10, in load
    return load_model_from_init_py(__file__, **overrides)
  File "/home/cyclonaut/Dokumente/workspaces/udSpacy/lib/python3.10/site-packages/spacy/util.py", line 615, in load_model_from_init_py
    return load_model_from_path(
  File "/home/cyclonaut/Dokumente/workspaces/udSpacy/lib/python3.10/site-packages/spacy/util.py", line 488, in load_model_from_path
    nlp = load_model_from_config(config, vocab=vocab, disable=disable, exclude=exclude)
  File "/home/cyclonaut/Dokumente/workspaces/udSpacy/lib/python3.10/site-packages/spacy/util.py", line 525, in load_model_from_config
    nlp = lang_cls.from_config(
  File "/home/cyclonaut/Dokumente/workspaces/udSpacy/lib/python3.10/site-packages/spacy/language.py", line 1782, in from_config
    nlp.add_pipe(
  File "/home/cyclonaut/Dokumente/workspaces/udSpacy/lib/python3.10/site-packages/spacy/language.py", line 792, in add_pipe
    pipe_component = self.create_pipe(
  File "/home/cyclonaut/Dokumente/workspaces/udSpacy/lib/python3.10/site-packages/spacy/language.py", line 674, in create_pipe
    resolved = registry.resolve(cfg, validate=validate)
  File "/home/cyclonaut/Dokumente/workspaces/udSpacy/lib/python3.10/site-packages/thinc/config.py", line 746, in resolve
    resolved, _ = cls._make(
  File "/home/cyclonaut/Dokumente/workspaces/udSpacy/lib/python3.10/site-packages/thinc/config.py", line 795, in _make
    filled, _, resolved = cls._fill(
  File "/home/cyclonaut/Dokumente/workspaces/udSpacy/lib/python3.10/site-packages/thinc/config.py", line 850, in _fill
    filled[key], validation[v_key], final[key] = cls._fill(
  File "/home/cyclonaut/Dokumente/workspaces/udSpacy/lib/python3.10/site-packages/thinc/config.py", line 867, in _fill
    getter_result = getter(*args, **kwargs)
  File "/home/cyclonaut/Dokumente/workspaces/udSpacy/lib/python3.10/site-packages/spacy_transformers/architectures.py", line 234, in create_TransformerModel_v3
    model = TransformerModel(
  File "/home/cyclonaut/Dokumente/workspaces/udSpacy/lib/python3.10/site-packages/spacy_transformers/layers/transformer_model.py", line 45, in __init__
    wrapper = HFWrapper(
  File "/home/cyclonaut/Dokumente/workspaces/udSpacy/lib/python3.10/site-packages/spacy_transformers/layers/hf_wrapper.py", line 49, in HFWrapper
    HFShim(
  File "/home/cyclonaut/Dokumente/workspaces/udSpacy/lib/python3.10/site-packages/spacy_transformers/layers/hf_shim.py", line 40, in __init__
    grad_scaler=PyTorchGradScaler(**grad_scaler_config),
  File "/home/cyclonaut/Dokumente/workspaces/udSpacy/lib/python3.10/site-packages/thinc/shims/pytorch_grad_scaler.py", line 54, in __init__
    raise ValueError(
ValueError: Gradient scaling is not supported, requires capable GPU and torch>=1.9.0

The model is loaded in ubuntu 22.04

- **spaCy version:** 3.2.4
- **Platform:** Linux-5.15.0-27-lowlatency-x86_64-with-glibc2.35
- **Python version:** 3.10.4
- **Pipelines:** de_udv25_germanhdt_trf (0.0.1), en_udv25_englishewt_trf (0.0.1), en_core_web_sm (3.2.0)

with Python 3.10.4 and this pip environment:

blis==0.7.7
catalogue==2.0.7
certifi==2021.10.8
charset-normalizer==2.0.12
click==8.0.4
cymem==2.0.6
de-udv25-germanhdt-trf @ https://huggingface.co/explosion/de_udv25_germanhdt_trf/resolve/main/de_udv25_germanhdt_trf-any-py3-none-any.whl
en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.2.0/en_core_web_sm-3.2.0-py3-none-any.whl
en-udv25-englishewt-trf @ https://huggingface.co/explosion/en_udv25_englishewt_trf/resolve/main/en_udv25_englishewt_trf-any-py3-none-any.whl
filelock==3.6.0
huggingface-hub==0.5.1
idna==3.3
Jinja2==3.1.2
joblib==1.1.0
langcodes==3.3.0
MarkupSafe==2.1.1
murmurhash==1.0.7
numpy==1.22.3
packaging==21.3
pathy==0.6.1
Pillow==9.1.0
preshed==3.0.6
pydantic==1.8.2
pyparsing==3.0.8
PyYAML==6.0
regex==2022.4.24
requests==2.27.1
sacremoses==0.0.53
six==1.16.0
smart-open==5.2.1
spacy==3.2.4
spacy-alignments==0.8.5
spacy-experimental==0.2.0
spacy-legacy==3.0.9
spacy-loggers==1.0.2
spacy-transformers==1.1.5
srsly==2.4.3
thinc==8.0.15
tokenizers==0.12.1
torch==1.11.0+cpu
torchaudio==0.11.0+cpu
torchvision==0.12.0+cpu
tqdm==4.64.0
transformers==4.17.0
typer==0.4.1
typing_extensions==4.2.0
urllib3==1.26.9
wasabi==0.9.1

[shadeMe]

We are currently in the process of finalizing a bug-fix release (v8.0.16) with the aforementioned fix, amongst others.

[Bachstelze]

Yes, it is working with the normal CUDA warnings.