A handful of efficiency optimizations

[psheehan]

Including:

• Use torch.no_grad for evaluating ML models
• Emit photons using torch tensors on the appropriate device to speed up calculations and reduce overheads
• Don't double calculate photon opacities on interaction in thermal simulation (though this doesn't end up being as big of an improvement as it sounds because one is only for the absorbed photons, which is a smaller number of them).

[codecov-commenter]

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Codecov Report

❌ Patch coverage is 97.82609% with 2 lines in your changes missing coverage. Please review.
✅ Project coverage is 89.83%. Comparing base (3118a92) to head (13024c9).

Files with missing lines	Patch %	Lines
pinballrt/dust.py	85.71%	2 Missing ⚠️
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Additional details and impacted files

@@            Coverage Diff             @@
##             main      #19      +/-   ##
==========================================
- Coverage   90.20%   89.83%   -0.37%     
==========================================
  Files          11       11              
  Lines        2440     2460      +20     
==========================================
+ Hits         2201     2210       +9     
- Misses        239      250      +11     

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[psheehan]

Added two additional optimizations:

• Cherry-picked Only update opacities when needed #12 onto this branch because it is being held up by Add the ability to create dust with non-isotopic scattering phase functions #11, which is taking time
• Enabled turning the progress bar on/off for that last little bit of speed

All tests are passing, including the offline GPU ones.