docstr: Clear gradient clipping parameters. In this case, gradient clipping will not be applied.
  In order to take effect, it needs to be called before fit.
docstr_tok: ["Clear","gradient","clipping","parameters",".","In","this","case",",","gradient","clipping","will","not","be","applied",".","In","order","to","take","effect",",","it","needs","to","be","called","before","fit","."]
code: def clear_gradient_clipping(self):
      """
      Clear gradient clipping parameters. In this case, gradient clipping will not be applied.
      In order to take effect, it needs to be called before fit.
      """
      callZooFunc(
          self.bigdl_type, "zooClearGradientClipping", self.value
      )
  
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 8 for calling the KerasNet obj's underlying member method code with example usage: obj.clear_gradient_clipping() without return types