Added
* Added column wise scaling logic to fusion import/export to improve accuracy (\652)
* Added a new example that demonstrates how to import and perform inference using a model which has been trained in a hardware-aware fashion using an external library (\648)
* Added a wew WeightModifierType.DISCRETIZE_PER_CHANNEL type and a test case to validate the correctness against manual quantization in PyTorch (\618)
Fixed
* Fix sub-optimal mapping of conductances to weights for fusion by regressing weights per column (\653)
* Documentation correction: Use `ADDITIVE_CONSTANT instead of `ADD_NORMAL` in WeightNoiseType (\630)
* Fix continuing training based on checkpoint using torch tile (\626)
* Fix the support of different dtypes for the torch model (\625)
* Fixes the fall-through to the default error message when using drop connect (\624)
* Update `analog_fusion` notebook (\611)