class_docstr: Raise error when layer argument is not yet supported in TFE.
  
  Args:
    arg: TFE layer argument
    arg_name: TFE layer argument name (string)
    tf_layer_name: Tensorflow keras layer name (string)
class_docstr_tok: ["Raise","error","when","layer","argument","is","not","yet","supported","in","TFE",".","Args",":","arg",":","TFE","layer","argument","arg_name",":","TFE","layer","argument","name","(","string",")","tf_layer_name",":","Tensorflow","keras","layer","name","(","string",")"]
code: def __str__(self):
      arg_not_impl_msg = (
          "`{}` argument is not implemented for layer {}. "
          "Please use the default value of {}."
      )
      return arg_not_impl_msg.format(
          self.arg_name, self.tf_layer_name, self.tf_default_arg
      )
  
file_path: tf-encrypted/tf_encrypted/keras/layers/layers_utils.py
imports: import inspect
  import tensorflow
label_desc: Use image node_id 2 for calling the LayerArgNotImplementedError obj's underlying member method code with example usage: obj.__str__() and returns: arg_not_impl_msg