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lipshit lonanni jouvinlea vuillaut alifarzanehpooralwars maxnoe garciagenrique stfroese kevinvasquezb katuv7 pierfra-rocci bhomaidan1990 abdoelabassi

school2022's Issues

[COURSE BUG] Updating environment fails on linux 

❯ mamba env update -f environment.yml
default/noarch           [====================] (00m:00s) No change
pytorch/linux-64         [====================] (00m:00s) No change
default/linux-64         [====================] (00m:00s) No change
pytorch/noarch           [====================] (00m:00s) No change
conda-forge/noarch       [====================] (00m:01s) Done
conda-forge/linux-64     [====================] (00m:05s) Done


Looking for: ['astropy', 'ipython', 'ipywidgets~=7.7.0', 'jupyterlab', 'matplotlib', 'seaborn', 'numba', 'numpy', 'pandas', 'pip', 'pytables', 'pytest', 'pytest-cov', 'python=3.10', 'rise~=5.7.1', 'scikit-learn', 'scipy', 'twine', 'wheel', 'line_profiler', 'memory_profiler', 'snakeviz', 'pytorch', 'torchvision', 'torchaudio', 'plotly', 'nbmake', 'h5py', 'ipympl', 'tqdm', 'ffmpeg']


Encountered problems while solving:
  - nothing provides __cuda needed by pytorch-1.11.0-cuda102py310hdf4a2db_202```

Recommend mambaforge?

Readme recommends a full anaconda install and then install mamba and creating an environment.

This has several problems in my experience:

  • a lot of wasted space for the full anaconda env
  • A large base env will inadvertently make upgrading conda/mamba hard due to "solving environment" issues
  • Installing mamba itself might fail due to conda being slow solving the large environment with all the packages in conda-forge

Solution: Let people install mambaforge (Miniconda with preinstalled mamba from: https://github.com/conda-forge/miniforge#mambaforge)

[COURSE BUG] Can't install `torchaudio` on M1 Mac with conda 4.12.0

Trying to install the conda environment with mamba env create -f environment.yml yields to the error on M1 macOS:

Encountered problems while solving.
Problem: nothing provides requested torchaudio

This seem to be related to this issue.

I recommend to install the pip version of all PyTorch dependencies. Maybe change the environment.yml pip packages to

- pip:    
  - build    
  - tensorboard    
  - pytorch-lightning    
  - torch    
  - torchvision    
  - torchaudio

Seems to work for me

In [1]: import torch, torchvision, torchaudio

In [2]: torch.__version__
Out[2]: '1.11.0'

In [3]: torchvision.__version__
Out[3]: '0.12.0'

In [4]: torchaudio.__version__
Out[4]: '0.11.0'

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