class_docstr: Clipped ReLu activation function
  Computes the function f(x) = min(max(0, x),cutoff)
code: def __init__(self, slope=0, name=None, xcut=20.0):
      super(Rectlinclip, self).__init__(name)
      self.xcut = xcut
      self.slope = slope
  
imports: from __future__ import division
  from neon.transforms.transform import Transform
label_desc: Use image node_id 1 to create a new Rectlinclip object from inherited base classes: Transform with example: obj = Rectlinclip(slope, name, xcut)