class_docstr: Softplus function.
class_docstr_tok: ["Softplus","function","."]
code: def forward_cpu(self, inputs):
      self.retain_inputs((0,))
      x = inputs[0]
      # y = log(1 + exp(beta * x)) / beta
      bx = self.beta * x
      y = (
          numpy.fmax(bx, 0) + numpy.log1p(numpy.exp(-numpy.fabs(bx)))
      ) * self.beta_inv
      return (utils.force_array(y, x.dtype),)
  
imports: import numpy
  from chainer.backends import cuda
  from chainer import function_node
  import chainer.functions
  from chainer import utils
  from chainer.utils import type_check
label_desc: Use image node_id 3 for calling the Softplus obj's underlying member method code with example usage: obj.forward_cpu(inputs) and returns: utils