eb4728a5ca44cc8f9b26b70436aae4438249669e,pymc3/variational/approximations.py,FullRankGroup,L,#FullRankGroup#,151

Before Change

    @node_property
    def L(self):
        return self.params_dict["L_tril"][..., self.tril_index_matrix]

    @node_property
    def mean(self):
        return self.params_dict["mu"]

After Change

    @node_property
    def L(self):
        if self.batched:
            L = tt.zeros((self.ddim, self.ddim, self.bdim))
            L = tt.set_subtensor(
                L[self.tril_indices],
                self.params_dict["L_tril"].T)
            L = L.dimshuffle(2, 0, 1)
        else:
            L = tt.zeros((self.ddim, self.ddim))
            L = tt.set_subtensor(
                L[self.tril_indices],

Instances