code: def _ensure_clipped(
      self,
      net,
      param,
      grad=None,
      min=None,
      max=None,
      open_range=False,
      left_open=False,
      right_open=False,
  ):
      min = (
          min + self.kEpsilon
          if min is not None and (open_range or left_open)
          else min
      )
      max = (
          max - self.kEpsilon
          if max is not None and (open_range or right_open)
          else max
      )
      input_blobs = (
          [param, grad.indices, grad.values]
          if isinstance(grad, core.GradientSlice)
          else [param]
      )
      net.EnsureClipped(input_blobs, [param], min=min, max=max)
  
imports: from caffe2.python import core, utils
  import numpy
label_desc: Use image node_id 6 for calling the Regularizer obj's underlying member method code with example usage: obj._ensure_clipped(net, param, grad, min, max, open_range, left_open, right_open) without return types