ó [T–h… ãó@•SSKrSSKJr SSKJr S/r"SS\5rg)éN)ÚTensor)Ú DistributionÚExponentialFamilycó^•\rSrSrSr\S\\S44Sj5rSr \S\ 4Sj5r Sr S r g ) ré aš ExponentialFamily is the abstract base class for probability distributions belonging to an exponential family, whose probability mass/density function has the form is defined below .. math:: p_{F}(x; \theta) = \exp(\langle t(x), \theta\rangle - F(\theta) + k(x)) where :math:`\theta` denotes the natural parameters, :math:`t(x)` denotes the sufficient statistic, :math:`F(\theta)` is the log normalizer function for a given family and :math:`k(x)` is the carrier measure. Note: This class is an intermediary between the `Distribution` class and distributions which belong to an exponential family mainly to check the correctness of the `.entropy()` and analytic KL divergence methods. We use this class to compute the entropy and KL divergence using the AD framework and Bregman divergences (courtesy of: Frank Nielsen and Richard Nock, Entropies and Cross-entropies of Exponential Families). Úreturn.có•[e)z^ Abstract method for natural parameters. Returns a tuple of Tensors based on the distribution ©ÚNotImplementedError©Úselfs ÚV/var/www/auris/envauris/lib/python3.13/site-packages/torch/distributions/exp_family.pyÚ_natural_paramsÚ!ExponentialFamily._natural_paramsó €ô "Ð!ócó•[e)zk Abstract method for log normalizer function. Returns a log normalizer based on the distribution and input r )r Únatural_paramss rÚ_log_normalizerÚ!ExponentialFamily._log_normalizer's €ô "Ð!rcó•[e)zX Abstract method for expected carrier measure, which is required for computing entropy. r r s rÚ_mean_carrier_measureÚ'ExponentialFamily._mean_carrier_measure.rrcó¤•UR*nURVs/sH o"R5R5PM" nnUR"U6n[ R RUR5USS9nX- n[X55H7upgXU-RURS-5RS5-nM9 U$s snf)zO Method to compute the entropy using Bregman divergence of the log normalizer. T)Ú create_graph)éÿÿÿÿr) rrÚdetachÚrequires_grad_rÚtorchÚautogradÚgradÚsumÚzipÚreshapeÚ _batch_shape)r ÚresultÚpÚnparamsÚ lg_normalÚ gradientsÚnpÚgs rÚentropyÚExponentialFamily.entropy6s½€ð×,Ñ,Ð,ˆØ8<×8LÒ8LÓMÒ8L°1—8‘8“:×,Ñ,Ö.Ñ8LˆÐMØ×(Ò(¨'Ð2ˆ Ü—N‘N×'Ñ'¨ ¯ © «¸ÈtÐ'ÐTˆ ØшܘÖ,‰EˆBØ ˜A‘v×&Ñ& t×'8Ñ'8¸5Ñ'@ÓA×EÑEÀbÓIÑ IŠFñ-àˆ ùò Nsœ'C ©N)Ú__name__Ú __module__Ú __qualname__Ú__firstlineno__Ú__doc__ÚpropertyÚtuplerrrÚfloatrr-Ú__static_attributes__r/rrrr sP†ñð(ð"  v¨s {Ñ!3ó"óð"ò"ðð" uó"óð"õ r)rrÚ torch.distributions.distributionrÚ__all__rr/rrÚr;s$ðã ÝÝ9ð Ð €ô7˜ õ7r