Added Support for Modeling Source and Line Resistances for 1.1.4 Release

[coreylammie]

• Added support for modeling source and line resistances for passive crossbars/tiles.
• Added C++ and CUDA bindings for modeling source and line resistances for passive crossbars/tiles*.
• Added a new MemTorch logo to README.md.
• Added the set_cuda_malloc_heap_size routine to patched torch.mn modules.
• Added unit tests for source and line resistance modeling.
• Updated ReadTheDocs documentation.
• Transitioned from Gitter to GitHub Discussions for general discussion.

*Note It is strongly suggested to set cuda_malloc_heap_size using m.set_cuda_malloc_heap_size manually when simulating source and line resistances using CUDA bindings.

[codecov]

Codecov Report

Merging #98 (8ed3030) into master (e6825bb) will decrease coverage by 6.23%.
The diff coverage is 32.64%.

@@            Coverage Diff             @@
##           master      #98      +/-   ##
==========================================
- Coverage   90.76%   84.53%   -6.24%     
==========================================
  Files          54       54              
  Lines        2058     2269     +211     
==========================================
+ Hits         1868     1918      +50     
- Misses        190      351     +161     

Flag	Coverage Δ
unittests	84.53% <32.64%> (-6.24%)	⬇️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
...nce_retention_models/empirical_metal_oxide_RRAM.py	100.00% <ø> (ø)
setup.py	0.00% <0.00%> (ø)
memtorch/bh/crossbar/Passive.py	4.37% <4.37%> (ø)
memtorch/mn/Module.py	83.05% <40.00%> (-3.99%)	⬇️
memtorch/bh/crossbar/Tile.py	79.41% <60.71%> (-5.68%)	⬇️
memtorch/mn/Conv1d.py	94.56% <75.00%> (-4.17%)	⬇️
memtorch/mn/Conv2d.py	93.68% <75.00%> (-3.88%)	⬇️
memtorch/mn/Conv3d.py	93.75% <75.00%> (-3.85%)	⬇️
memtorch/mn/Linear.py	91.95% <75.00%> (-4.00%)	⬇️
memtorch/bh/crossbar/Crossbar.py	91.95% <100.00%> (-0.05%)	⬇️
... and 4 more

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