Updated Documentation and Added `force_adjustment_voltage` and `failu…

…re_iteration_threshold` Arguments for 1.1.6 Release (#128)

- Updated ReadTheDocs Documentation.
- Updated README.md.
- Added BiBTeX entry for the paper which can be used to cite the corresponding OSP paper.
- Added `force_adjustment_voltage` and `failure_iteration_threshold` Arguments to `memtorch.bh.Crossbar.write_conductance_matrix` and associated bindings.

Added Partial Support for the `groups` Argument for Convolutional Lay…

…ers for 1.1.5 Release (#105)

* Added partial support for the `groups` argument for convolutional layers.
* Fixed patching procedure in `memtorch.mn.module.patch_model` and `memtorch.bh.nonideality.apply_nonidealities` to fix semantic error in `Tutorial.ipynb`.
* Fixed import statement in `Exemplar_Simulations.ipynb`.
* Further modularized patching logic in `memtorch.bh.nonideality.NonIdeality` and `memtorch.mn.Module`.
* Modified default number of worker in `memtorch.utils` from 2 to 1.

Added Support for Modeling Source and Line Resistances for 1.1.4 Rele…

…ase (#98)

* 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.

Modularized `tile_inference` and Updated Documentation for 1.1.3 Rele…

…ase (#83)

* Modularized `tile_inference` for all layer types.
* Added CPU and GPU bindings for `tiled_inference`.
* Updated ReadTheDocs documentation.

Added C++ and CUDA bindings to `tile_matmul` for 1.1.2 Release (#66)

* Added C++ and CUDA bindings for `memtorch.bh.crossbar.Tile.tile_matmul`.
* Added `Eigen` integration with C++ and CUDA bindings.
* Modularized C++ and CUDA `quantize` bindings.

Improved Functionality for 1.1.1 Release (#40)

Updated memtorch.mn.Module.patch_model for 1.1.0 Release (#32)

Initial Release