如何查看可用于PyTorch kl_散度函数的所有可能分布?
我想知道我可以直接插入PyTorch的如何查看可用于PyTorch kl_散度函数的所有可能分布?,pytorch,Pytorch,我想知道我可以直接插入PyTorch的kl_distance函数的所有可能的分布组合是什么。如何查看所有的可能性?这里有一个函数,用于显示所有已注册的组合: 从torch.distributions.kl导入\u kl\u注册表 def view_kl_选项(): """ 显示可在中使用的所有发行版组合 torch的kl_散度函数。遍历注册表 并打印出注册名称组合。 """ names=[(k[0]。\uuuu name\uuuuu,k[1]。\uuuu name\uuuuuu)用于注册表项()
kl_distance
函数的所有可能的分布组合是什么。如何查看所有的可能性?这里有一个函数,用于显示所有已注册的组合:
从torch.distributions.kl导入\u kl\u注册表
def view_kl_选项():
"""
显示可在中使用的所有发行版组合
torch的kl_散度函数。遍历注册表
并打印出注册名称组合。
"""
names=[(k[0]。\uuuu name\uuuuu,k[1]。\uuuu name\uuuuuu)用于注册表项()中的k
max\u name\u len=max([len(t[0]),表示名称中的t])
对于已排序的arg1、arg2(名称):
打印(f“{arg1:>{max_name_len}}}}}{arg2}”)
调用view\u kl\u options()
Bernoulli || Bernoulli
Bernoulli || Poisson
Beta || Beta
Beta || ContinuousBernoulli
Beta || Exponential
Beta || Gamma
Beta || Normal
Beta || Pareto
Beta || Uniform
Binomial || Binomial
Categorical || Categorical
Cauchy || Cauchy
ContinuousBernoulli || ContinuousBernoulli
ContinuousBernoulli || Exponential
ContinuousBernoulli || Normal
ContinuousBernoulli || Pareto
ContinuousBernoulli || Uniform
Dirichlet || Dirichlet
Exponential || Beta
Exponential || ContinuousBernoulli
Exponential || Exponential
Exponential || Gamma
Exponential || Gumbel
Exponential || Normal
Exponential || Pareto
Exponential || Uniform
ExponentialFamily || ExponentialFamily
Gamma || Beta
Gamma || ContinuousBernoulli
Gamma || Exponential
Gamma || Gamma
Gamma || Gumbel
Gamma || Normal
Gamma || Pareto
Gamma || Uniform
Geometric || Geometric
Gumbel || Beta
Gumbel || ContinuousBernoulli
Gumbel || Exponential
Gumbel || Gamma
Gumbel || Gumbel
Gumbel || Normal
Gumbel || Pareto
Gumbel || Uniform
HalfNormal || HalfNormal
Independent || Independent
Laplace || Beta
Laplace || ContinuousBernoulli
Laplace || Exponential
Laplace || Gamma
Laplace || Laplace
Laplace || Normal
Laplace || Pareto
Laplace || Uniform
LowRankMultivariateNormal || LowRankMultivariateNormal
LowRankMultivariateNormal || MultivariateNormal
MultivariateNormal || LowRankMultivariateNormal
MultivariateNormal || MultivariateNormal
Normal || Beta
Normal || ContinuousBernoulli
Normal || Exponential
Normal || Gamma
Normal || Gumbel
Normal || Normal
Normal || Pareto
Normal || Uniform
OneHotCategorical || OneHotCategorical
Pareto || Beta
Pareto || ContinuousBernoulli
Pareto || Exponential
Pareto || Gamma
Pareto || Normal
Pareto || Pareto
Pareto || Uniform
Poisson || Bernoulli
Poisson || Binomial
Poisson || Poisson
TransformedDistribution || TransformedDistribution
Uniform || Beta
Uniform || ContinuousBernoulli
Uniform || Exponential
Uniform || Gamma
Uniform || Gumbel
Uniform || Normal
Uniform || Pareto
Uniform || Uniform