import torch import torch.nn.functional as F def kl_div(input, target, reduction='mean', log_target=False): """ Computes the Kullback-Leibler divergence loss between input and target distributions. Parameters: - input (Tensor): Log-probabilities or logits. - target (Tensor): Probabilities...
distributions包含可参数化的概率分布和采样函数 得分函数 强化学习中策略梯度方法的基础 pathwise derivative估计器 变分自动编码器中的重新参数化技巧 KL Divergence 相对熵 Transforms Tensor中的随机抽样 定义随机种子:在需要生成随机数据的实验中,每次实验都需要生成数据,为了确保每次运行.py文件时,生成的随机数都是固定...
, scale=2.)) print(td.kl.kl_divergence(trans_dist, trans_dist), "Got incorrect shape") print(td.kl.kl_divergence(diag_normal, diag_normal), "Correct shape") Expected behavior In the above code, the expected shape from the first kl_divergence() should be [2]. Instead, I got []. ...
torch.kl_div函数是 PyTorch 中用于计算两个概率分布之间的 Kullback-Leibler 散度(KL散度)的函数。你提供的语法torch.kl_div: lambda input, target, size_average=None, reduce=None, reduction='mean', log_target=False: -1是一个简化的表示,用来说明torch.kl_div函数的参数和基本行为。下面是对这个语法的...
KL Divergence torch.distributions.kl.kl_divergence(p, q)[source] Compute Kullback-Leibler divergence KL(p∥q)KL(p∥q) between two distributions. KL(p∥q)=∫p(x)logp(x)q(x)dxKL(p∥q)=∫p(x)logq(x)p(x)dx Parameters: p (Distribution)– A Distribution object. q (Distribution)...
torch.distributions.kl.kl_divergence现在支持广播。 torch.distributions现在支持expand类似于torch.Tensor.expand的方法。例如:torch.distributions.bernoulli.Bernoulli.expand。 torch.nn.functional.grid_sample现在支持最近邻插值和反射填充。 torch.mean现在可以跨多个维度工作。
JS散度度量了两个概率分布的相似度，基于KL散度的变体，解决了KL散度非对称的问题。一般地，JS散度是...
reduction= “mean” doesn’t return the true KL divergence value, please use reduction= “batchmean” which aligns with the mathematical definition. In a future release, “mean” will be changed to be the same as “batchmean”. 参数: ...
torch.nn.functional.kl_div(input, target, size_average=None, reduce=None, reduction='mean', log_target=False) [source] The Kullback-Leibler divergence Loss See KLDivLoss for details. Parameters input –Tensor of arbitrary shape target –Tensor of the same shape as input size_average (bool...
torch.distributions.kl.kl_divergence现在支持广播。 torch.distributions现在支持expand类似于torch.Tensor.expand的方法。例如:torch.distributions.bernoulli.Bernoulli.expand。 torch.nn.functional.grid_sample现在支持最近邻插值和反射填充。 pytorch v1.0rc0发布,新发布torch.jit和C++ API以及c10d库 - pytorch中文网 ...