【Hackathon No.9】为 Paddle 新增 Laplace API #190
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cxxly
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Aug 1, 2022
cxxly
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cxxly
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cxxly
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cxxly
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| self.loc - self.scale * (value - 0.5).sign() * paddle.log1p(-2 * (value - 0.5).abs()) | ||
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| - `kl_divergence` 两个Laplace分布之间的kl散度(other--Laplace类的一个实例): |
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KL计算逻辑统一实现在 https://github.com/PaddlePaddle/Paddle/blob/develop/python/paddle/distribution/kl.py，Laplace class中无需额外实现
看了下kl.py文件，确实需要注册一下laplace的分布，但是KL计算还是需要手动实现一下吧？有部分分布（Beta, Dirichlet，ExponentialFamily）是在kl.py中实现的，有的是在原始api中实现然后在kl.py中调用的（Categorical，Uniform， Normal）。因此更新的文档设计保留了在原始类中实现kl计算，增加了kl.py的注册，可调用paddle.distribution.kl_divergence计算laplace之间的kl散度。
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August 4, 2022 22:20
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