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SAP AI Research 68

@MaximilianSchambach , @nielsr : Just wanted to give you a heads-up on running your Kaggle and Colab notebooks.

I'm encountering issues with package installations and imports, which are preventing the notebook from running correctly.

1. Dependency Conflicts (from pip):
First, pip is reporting numerous dependency resolution errors. Key conflicts include:

• torch ecosystem: My installed torch 2.7.1 is incompatible with torchaudio, torchvision, and fastai, all of which expect torch 2.6.0 (or an earlier version).
• pyarrow: My pyarrow 20.0.0 is too new for cudf/pylibcudf (which need an older version).
• scikit-learn: My scikit-learn 1.7.0 is too new for category-encoders and sklearn-compat.
• google-colab related packages: There are conflicts with google-colab's expected versions of pandas, google-auth, requests, tornado, and notebook.
• numpy: My numpy 1.26.4 is incompatible with cesium (which expects numpy 2.x).

2. torchvision Circular Import Error:
Following the installation attempts, I'm also getting an AttributeError: partially initialized module 'torchvision' has no attribute 'extension' (most likely due to a circular import).

Let me know your thoughts on how best to proceed!

Colab:
AttributeError: partially initialized module 'torchvision' has no attribute 'extension' (most likely due to a circular import)
/usr/local/lib/python3.11/dist-packages/torchvision/_meta_registrations.py in wrapper(fn)
16 def register_meta(op_name, overload_name="default"):
17 def wrapper(fn):
---> 18 if torchvision.extension._has_ops():
19 get_meta_lib().impl(getattr(getattr(torch.ops.torchvision, op_name), overload_name), fn)
20 return fn

Kaggle:
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
bigframes 2.8.0 requires google-cloud-bigquery-storage<3.0.0,>=2.30.0, which is not installed.
pylibcudf-cu12 25.2.2 requires pyarrow<20.0.0a0,>=14.0.0; platform_machine == "x86_64", but you have pyarrow 20.0.0 which is incompatible.
cudf-cu12 25.2.2 requires pyarrow<20.0.0a0,>=14.0.0; platform_machine == "x86_64", but you have pyarrow 20.0.0 which is incompatible.
datasets 3.6.0 requires fsspec[http]<=2025.3.0,>=2023.1.0, but you have fsspec 2025.5.1 which is incompatible.
category-encoders 2.7.0 requires scikit-learn<1.6.0,>=1.0.0, but you have scikit-learn 1.7.0 which is incompatible.
cesium 0.12.4 requires numpy<3.0,>=2.0, but you have numpy 1.26.4 which is incompatible.
google-colab 1.0.0 requires google-auth==2.38.0, but you have google-auth 2.40.3 which is incompatible.
google-colab 1.0.0 requires notebook==6.5.7, but you have notebook 6.5.4 which is incompatible.
google-colab 1.0.0 requires pandas==2.2.2, but you have pandas 2.2.3 which is incompatible.
google-colab 1.0.0 requires requests==2.32.3, but you have requests 2.32.4 which is incompatible.
google-colab 1.0.0 requires tornado==6.4.2, but you have tornado 6.5.1 which is incompatible.
sklearn-compat 0.1.3 requires scikit-learn<1.7,>=1.2, but you have scikit-learn 1.7.0 which is incompatible.
pandas-gbq 0.29.1 requires google-api-core<3.0.0,>=2.10.2, but you have google-api-core 1.34.1 which is incompatible.
torchaudio 2.6.0+cu124 requires torch==2.6.0, but you have torch 2.7.1 which is incompatible.
torchvision 0.21.0+cu124 requires torch==2.6.0, but you have torch 2.7.1 which is incompatible.
fastai 2.7.19 requires torch<2.7,>=1.10, but you have torch 2.7.1 which is incompatible.
bigframes 2.8.0 requires google-cloud-bigquery[bqstorage,pandas]>=3.31.0, but you have google-cloud-bigquery 3.25.0 which is incompatible.
bigframes 2.8.0 requires rich<14,>=12.4.4, but you have rich 14.0.0 which is incompatible.
jupyter-kernel-gateway 2.5.2 requires jupyter-client<8.0,>=5.2.0, but you have jupyter-client 8.6.3 which is incompatible.