class_docstr: Mixin class for performing common unary/binary operations on/between
  random variables/constant tensors using method chaining syntax.
class_docstr_tok: ["Mixin","class","for","performing","common","unary\/binary","operations","on\/between","random","variables\/constant","tensors","using","method","chaining","syntax","."]
code: def pow(self, x):
      return self**x
  
imports: from typing import Union
  from torch import Tensor
  from pyro.distributions import TransformedDistribution
  from pyro.distributions.transforms import AbsTransform, AffineTransform, ExpTransform, PowerTransform, SigmoidTransform, SoftmaxTransform, TanhTransform, Transform
label_desc: Use image node_id 6 for calling the RVChainOps obj's underlying member method code with example usage: obj.pow(x) and returns: unknown