class_docstr: The base optimizer class. Sets the rules to update weights
  when training a neural network.
class_docstr_tok: ["The","base","optimizer","class",".","Sets","the","rules","to","update","weights","when","training","a","neural","network","."]
docstr: Sets the upper limit for gradient norm.
  Set to a negative value to have no limit.
code: def max_gradient_norm(self, value):
      """Sets the upper limit for gradient norm.
      Set to a negative value to have no limit.
      """
      self._internal.set_max_gradient_norm(value)
  
imports: import neoml.PythonWrapper
label_desc: Use image node_id 11 for calling the Solver obj's underlying member method code with example usage: obj.max_gradient_norm(value) without return types