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[0.9.1] - 2024/05/16
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)