Address cuda warnings and spaCy version warning.

[KennethEnevoldsen]

When running:

import dacy

for model in dacy.models():
    print(model)

dacy_nlp = dacy.load('medium')

doc = dacy_nlp("DaCy er en hurtig og effektiv pipeline til dansk sprogprocessering bygget i SpaCy.")

print('hej')

I get the following warning:

da_dacy_small_tft-0.0.0
da_dacy_medium_tft-0.0.0
da_dacy_large_tft-0.0.0
da_dacy_small_trf-0.1.0
da_dacy_medium_trf-0.1.0
da_dacy_large_trf-0.1.0
/venv/lib/python3.9/site-packages/spacy/util.py:833: UserWarning: [W095] Model 'da_dacy_medium_trf' (0.1.0) was trained with spaCy v3.1 and may not be 100% compatible with the current version (3.2.4). If you see errors or degraded performance, download a newer compatible model or retrain your custom model with the current spaCy version. For more details and available updates, run: python -m spacy validate
  warnings.warn(warn_msg)
/venv/lib/python3.9/site-packages/spacy/util.py:833: UserWarning: [W095] Model 'da_dacy_small_trf' (0.1.0) was trained with spaCy v3.1 and may not be 100% compatible with the current version (3.2.4). If you see errors or degraded performance, download a newer compatible model or retrain your custom model with the current spaCy version. For more details and available updates, run: python -m spacy validate
  warnings.warn(warn_msg)
/venv/lib/python3.9/site-packages/spacy_transformers/pipeline_component.py:406: UserWarning: Automatically converting a transformer component from spacy-transformers v1.0 to v1.1+. If you see errors or degraded performance, download a newer compatible model or retrain your custom model with the current spacy-transformers version. For more details and available updates, run: python -m spacy validate
  warnings.warn(warn_msg)
/venv/lib/python3.9/site-packages/torch/amp/autocast_mode.py:198: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling
  warnings.warn('User provided device_type of \'cuda\', but CUDA is not available. Disabling')
/venv/lib/python3.9/site-packages/spacy/pipeline/attributeruler.py:150: UserWarning: [W036] The component 'matcher' does not have any patterns defined.
  matches = self.matcher(doc, allow_missing=True, as_spans=False)
hej

Notably this this includes three warning, including SpaCy version, cuda device and matcher object (see also #72)

originally version sent to me by mail

Note: While this is a warning there, DaCy still works as intended. The version of spaCy does not influence model performance.

[EaLindhardt]

I've tried to download dacy through anaconda, both with pip and conda install and the different ways of installing: https://centre-for-humanities-computing.github.io/DaCy/installation.html

when running

import dacy

i get the following

`---------------------------------------------------------------------------
ContextualVersionConflict Traceback (most recent call last)
Input In [14], in <cell line: 1>()
----> 1 import dacy

File ~\AppData\Roaming\Python\Python39\site-packages\dacy_init_.py:4, in
1 from dacy.hate_speech import make_offensive_transformer # noqa
2 from dacy.sentiment import make_emotion_transformer # noqa
----> 4 from .about import download_url, title, version # noqa
5 from .download import download_model # noqa
6 from .load import load, models, where_is_my_dacy

File ~\AppData\Roaming\Python\Python39\site-packages\dacy\about.py:3, in
1 import pkg_resources
----> 3 version = pkg_resources.get_distribution("dacy").version
4 title = "dacy"
5 download_url = "https://github.com/centre-for-humanities-computing/DaCy"

File ~\Anaconda3\lib\site-packages\pkg_resources_init_.py:477, in get_distribution(dist)
475 dist = Requirement.parse(dist)
476 if isinstance(dist, Requirement):
--> 477 dist = get_provider(dist)
478 if not isinstance(dist, Distribution):
479 raise TypeError("Expected string, Requirement, or Distribution", dist)

File ~\Anaconda3\lib\site-packages\pkg_resources_init_.py:353, in get_provider(moduleOrReq)
351 """Return an IResourceProvider for the named module or requirement"""
352 if isinstance(moduleOrReq, Requirement):
--> 353 return working_set.find(moduleOrReq) or require(str(moduleOrReq))[0]
354 try:
355 module = sys.modules[moduleOrReq]

File ~\Anaconda3\lib\site-packages\pkg_resources_init_.py:897, in WorkingSet.require(self, *requirements)
888 def require(self, *requirements):
889 """Ensure that distributions matching requirements are activated
890
891 requirements must be a string or a (possibly-nested) sequence
(...)
895 included, even if they were already activated in this working set.
896 """
--> 897 needed = self.resolve(parse_requirements(requirements))
899 for dist in needed:
900 self.add(dist)

File ~\Anaconda3\lib\site-packages\pkg_resources_init_.py:788, in WorkingSet.resolve(self, requirements, env, installer, replace_conflicting, extras)
785 if dist not in req:
786 # Oops, the "best" so far conflicts with a dependency
787 dependent_req = required_by[req]
--> 788 raise VersionConflict(dist, req).with_context(dependent_req)
790 # push the new requirements onto the stack
791 new_requirements = dist.requires(req.extras)[::-1]

ContextualVersionConflict: (spacy 3.3.1 (c:\users\au576018\anaconda3\lib\site-packages), Requirement.parse('spacy<3.3.0,>=3.2.0'), {'dacy'})`

How do I solve this?

[KennethEnevoldsen]

Hi @EaLindhardt, this issue does not seem related to the original post. I will create a new issue with it.

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