class_docstr: Transform via the mapping :math:`\text{Softplus}(x) = \log(1 + \exp(x))`.
class_docstr_tok: ["Transform","via","the","mapping",":","math",":","`","\\text","{","Softplus","}","(","x",")","=","\\log","(","1","+","\\exp","(","x",")",")","`","."]
code: def _inverse(self, y):
      return softplus_inv(y)
  
file_path: pyro/pyro/distributions/transforms/softplus.py
imports: from torch.distributions import constraints
  from torch.distributions.transforms import Transform
  from torch.nn.functional import softplus
label_desc: Use image node_id 3 for calling the SoftplusTransform obj's underlying member method code with example usage: obj._inverse(y) and returns: softplus_inv