docstr: Set constant gradient clipping during the training process.
  In order to take effect, it needs to be called before fit.
  
  # Arguments
  min: The minimum value to clip by. Float.
  max: The maximum value to clip by. Float.
code: def set_constant_gradient_clipping(self, min, max):
      """
      Set constant gradient clipping during the training process.
      In order to take effect, it needs to be called before fit.
  
      # Arguments
      min: The minimum value to clip by. Float.
      max: The maximum value to clip by. Float.
      """
      callZooFunc(
          self.bigdl_type,
          "zooSetConstantGradientClipping",
          self.value,
          float(min),
          float(max),
      )
  
imports: import bigdl.dllib.keras.autograd
  from bigdl.dllib.feature.image import ImageSet
  from bigdl.dllib.feature.text import TextSet
  from bigdl.dllib.feature.common import FeatureSet
  from bigdl.dllib.keras.base import ZooKerasLayer
  from bigdl.dllib.keras.utils import *
  from bigdl.dllib.nn.layer import Layer
  from bigdl.dllib.utils.file_utils import callZooFunc
label_desc: Use image node_id 11 for calling the KerasNet obj's underlying member method code with example usage: obj.set_constant_gradient_clipping(min, max) without return types