Added - Support for dilation and stride in pooling.
Changed - Pooling API to match torch.nn better. - `_ConvCoNd.forward_steps` doesn't invoke `clean_state` anymore.
0.2.2
Added - Automatic conversion of batch normalization and activation functions.
Fixed - Separate dilation and stride in pool.
Changed - Conv forward to use temporal padding like (like nn.Conv).
Removed - `co.BatchNorm2d`
0.2.1
Changed - Renamed `unsqueezed` to `forward_stepping`.
Removed - Unused utility `Zeros`
0.2.0
Changed - Naming to match `torch.nn`. This lets the continual modules be used as drop-in replacements for `torch.nn` modules. - Renamed `forward_regular_unrolled` to `forward`, `forward_regular` to `forward_steps`, and `forward` for `forward_step`. - Renamed `from_regular` to `build_from`. - Renamed `continual` to `unsqueezed`.
Added - `Sequential` wrapper for sequential application of modules - `Parallel` wrapper for parallel application and aggregation of inputs - `Residual` wrapper for adding a unity residual to a module - `continual` conversion function - `register` function for 3rd party modules to register their conversion - Additional tests