(self, *args, **kwargs)
Load the model's graph and parameters from disk, restoring the model
        into `self._sess` so that it can be run for inference.

        Subclasses should set the instance variables [self._sess,
        self._tf_input_var, self._tf_predict_var, self._description] in their
        implementation.
Load the model's graph and parameters from disk, restoring the model
        into `self._sess` so that it can be run for inference.
Load the model s graph and parameters from disk restoring the model into self . _sess so that it can be run for inference .
def load(self, *args, **kwargs):
        """Load the model's graph and parameters from disk, restoring the model
        into `self._sess` so that it can be run for inference.

        Subclasses should set the instance variables [self._sess,
        self._tf_input_var, self._tf_predict_var, self._description] in their
        implementation.

        """
        raise NotImplementedError
def load ( self , * args , * * kwargs ) : raise NotImplementedError