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.
docstr_tok: ["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 zoo.pipeline.api.autograd
  from zoo.feature.image import ImageSet
  from zoo.feature.text import TextSet
  from zoo.feature.common import FeatureSet
  from zoo.pipeline.api.keras.base import ZooKerasLayer
  from zoo.pipeline.api.keras.utils import *
  from bigdl.nn.layer import Layer
  from zoo.common.utils import callZooFunc
label_desc: Use image node_id 9 for calling the KerasNet obj's underlying member method code with example usage: obj.set_constant_gradient_clipping(min, max) without return types