class_docstr: Clipped ReLu activation function
  Computes the function f(x) = min(max(0, x),cutoff)
code: def __call__(self, x):
      return self.be.minimum(
          self.be.maximum(x, 0) + self.slope * self.be.minimum(x, 0),
          self.xcut,
      )
  
imports: from __future__ import division
  from neon.transforms.transform import Transform
label_desc: Use image node_id 2 for calling the Rectlinclip obj's underlying member method code with example usage: obj.__call__(x) and returns: self