class_docstr: Inverts gradients of values exceeding a given range.
  
  See: http://arxiv.org/abs/1511.04143
class_docstr_tok: ["Inverts","gradients","of","values","exceeding","a","given","range",".","See",":","http",":","\/\/arxiv.org\/abs\/1511.04143"]
code: def __init__(self, range_min, range_max):
      self.range_min = range_min
      self.range_max = range_max
      self.range_width = self.range_max - self.range_min
      assert (self.range_width > 0).all()
  
file_path: chainerrl/chainerrl/functions/invert_gradients.py
imports: from chainer import cuda
  from chainer import function
  from chainer.utils import type_check
label_desc: Use image node_id 1 to create a new InvertGradients object from inherited base classes: function with example: obj = InvertGradients(range_min, range_max)