Python PyTorch Pyro-多元分布

如何解决Python PyTorch Pyro-多元分布

如何在Pyro中采样多元分布？我只想要一个(M,N) Beta版，但以下内容不起作用：

impor torch
import pyro
with pyro.plate("theta_plate",M):
    theta = pyro.sample("theta",pyro.distributions.Beta(concentration0=torch.ones(N),concentration1=torch.ones(N)))

解决方法

使用 to_event(n) 声明依赖样本。

import torch
import pyro
import pyro.distributions as dist

def model(N,M):
    with pyro.plate("theta_plate",M):
        theta = pyro.sample("theta",dist.Beta(torch.ones(N),1.).to_event(1))
    return theta


if __name__ == '__main__':
    print(model(10,12).shape) # (10,12)

对于PyTorch和Pyro发行版，语法是相同的：

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除非您只想对分布进行抽样，否则无需使用牌照概念。