class_docstr: Creates a Chi-squared distribution parameterized by shape parameter :attr:`df`.
  This is exactly equivalent to ``Gamma(alpha=0.5*df, beta=0.5)``
  
  Example::
  
      >>> # xdoctest: +IGNORE_WANT("non-deterministic")
      >>> m = Chi2(torch.tensor([1.0]))
      >>> m.sample()  # Chi2 distributed with shape df=1
      tensor([ 0.1046])
  
  Args:
      df (float or Tensor): shape parameter of the distribution
code: def df(self):
      return self.concentration * 2
  
imports: from torch.distributions import constraints
  from torch.distributions.gamma import Gamma
label_desc: Use image node_id 3 for calling the Chi2 obj's underlying member method code with example usage: obj.df() and returns: unknown