def calc_maha_score()

in models/base.py [0:0]


    def calc_maha_score(self, features):
        assert self.id_feat_pool is not None
        if self.training and not self.id_feat_pool.ready():
            return torch.zeros(len(features), device=features.device)
        return self.id_feat_pool.calc_maha_score(features, force_calc=self.training)