Fix decomon normalization layers - #169
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September 2, 2025 16:38
Unit, Layer and Group normalization are not linear. For now we remove linear attribute from the decomon counterparts and do not implement yet their ibp/affine bounds, nor test them.
- layer_pos and layer_neg must not take into account the bias (already
added in forward_ibp_propagate())
=> center and add_moving_mean
default to False in BatchNormalizationKernelConstraint
=> we update the docstring for layer_neg and layer_pos in DecomonLayer to
make it explicit
- if scale = False, we set layer_neg to 0 (as gamma = None but should be
considered to 1. so only layer_pos has to be considered)
- in tests, when randomizing layer weights, we need to be careful not to
put a negative number for BatchNormalization.moving_variance
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