This release fixes `crop` behavior of `TorchModel`, as well as adds new blocks and methods:
- `InternBlock` with deformable convolutions
- separate `BottleneckBlock` that extends the functionality of `ResBlock`
- method for getting a reference to the current `TorchModel` instance inside `train/predict` contexts
- `mode` parameter for `train` and `predict` methods to control `nn.Module` behavior.
Also, this is the first version after `numpy` deprecation of autocast to `dtype=object` of mishaped arrays, so this is fixed in some places.