Fix/ptl version 200

[dennisbader]

Summary

fixes the issues with the new PyTorch-Lightning=2.0.0 release:

• fixes minor issue when checking for ptl>=1.6.0
• fixes precision issues from their new naming convention (see here
• fixes a failing probablistic NBEATSModel test

Other Information

• had to increase the number of training epochs for the failing probabilistic NBEATSModel test. Not sure why the results are not the same anymore, probably from some changes on pytorch-lightning / pytorch side

[codecov-commenter]

Codecov Report

Patch coverage: 92.85% and project coverage change: -0.08 ⚠️

Comparison is base (f7c292a) 94.13% compared to head (80d7735) 94.06%.

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Additional details and impacted files

@@            Coverage Diff             @@
##           master    #1651      +/-   ##
==========================================
- Coverage   94.13%   94.06%   -0.08%     
==========================================
  Files         125      125              
  Lines       11340    11337       -3     
==========================================
- Hits        10675    10664      -11     
- Misses        665      673       +8     

Impacted Files	Coverage Δ
...arts/models/forecasting/torch_forecasting_model.py	89.90% <92.30%> (-0.02%)	⬇️
darts/models/forecasting/pl_forecasting_module.py	93.89% <100.00%> (ø)

... and 8 files with indirect coverage changes

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[madtoinou]

LGTM