parameters: (self, y, name="prob")
return_statement: return super(TransformedDistribution, self).prob(y, name=name)
docstring: The prob of observations in `y`.
  
      `p(g(y)) / det|J(g(y))|`, where `g` is the inverse of `transform`.
  
      Args:
        y: `Tensor` of dtype `dtype`.
        name: The name to give this op.
  
      Returns:
        pdf: `Tensor` of dtype `dtype`, the pdf values of `y`.
docstring_summary: The prob of observations in `y`.
docstring_tokens: The prob of observations in y .
function: def prob(self, y, name="prob"):
      """The prob of observations in `y`.
  
      `p(g(y)) / det|J(g(y))|`, where `g` is the inverse of `transform`.
  
      Args:
        y: `Tensor` of dtype `dtype`.
        name: The name to give this op.
  
      Returns:
        pdf: `Tensor` of dtype `dtype`, the pdf values of `y`.
      """
      return super(TransformedDistribution, self).prob(y, name=name)
function_tokens: def prob ( self , y , name = "prob" ) : return super ( TransformedDistribution , self ) . prob ( y , name = name )