Method entropy

code/deep/CSG/distr/instances.py:245–248

(self, conds: edic=edic())

        return reduce_last(tc.sum, logps_all, len(self.shape))

    def entropy(self, conds: edic=edic()) -> tc.Tensor:
        # [shape_bat, shape_cond] -> [shape_bat]
        logits = self._logitsfn(conds) # logit == log prob
        return - reduce_last(tc.sum, logits.exp() * logits, len(self.shape) + 1)

class Bern(DistrElem):
    def __init__(self, name: str, *, probs = None, logits = None, shape = None, device = None):