Ë ˆ\;jo ãóN—ddlZddlmZddlmZGd„dej «Zy)éN)Ú distribution)Úin_dynamic_modecó<—eZdZdZed„«Zd„Zed„«Zd„Zy)ÚExponentialFamilya± ExponentialFamily is the base class for probability distributions belonging to exponential family, whose probability mass/density function has the form is defined below ExponentialFamily is derived from `paddle.distribution.Distribution`. .. math:: f_{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. Distribution belongs to exponential family referring to https://en.wikipedia.org/wiki/Exponential_family có—t‚©N©ÚNotImplementedError©Úselfs úoG:\00. PROJECTS\API\Inventory\templateJSON\kerjaOCR\Lib\site-packages\paddle/distribution/exponential_family.pyÚ_natural_parametersz%ExponentialFamily._natural_parameters'ó€ä!Ð!ócó—t‚rr r s r Ú_log_normalizerz!ExponentialFamily._log_normalizer+s€Ü!Ð!rcó—t‚rr r s r Ú_mean_carrier_measurez'ExponentialFamily._mean_carrier_measure.rrcó´—|j }g}|jD]*}|j«}d|_|j |«Œ,|j |Ž}t «r'tj|j«|d¬«}n.tjj|j«|«}||z }t||«D] \}}|||zz}Œ|S)z{caculate entropy use `bregman divergence` https://www.lix.polytechnique.fr/~nielsen/EntropyEF-ICIP2010.pdf FT)Ú create_graph) rrÚdetachÚ stop_gradientÚappendrrÚpaddleÚgradÚsumÚstaticÚ gradientsÚzip)r Ú entropy_valueÚnatural_parametersÚ parameterÚlog_normÚgradsÚpÚgs r ÚentropyzExponentialFamily.entropy2sØ€ð×3Ñ3Ð3ˆ àÐØ×1Ô1ˆIØ!×(Ñ(Ó*ˆIØ&+ˆIÔ #Ø × %Ñ % iÕ 0ð2ð (4×'Ñ'Ð);Ð<ˆä Ô Ü—K‘KØ— ‘ “Ð 2Àô‰Eô—M‘M×+Ñ+¨H¯L©L«NÐr1s"ðóÝ,Ý,ô7˜ ×1Ñ1õ7r