deeppavlov/core/models/tf_model.py
def load(self, exclude_scopes: tuple = ('Optimizer',)) -> None:
        """Load model parameters from self.load_path"""
        if not hasattr(self, 'sess'):
            raise RuntimeError('Your TensorFlow model {} must'
                               ' have sess attribute!'.format(self.__class__.__name__))
        path = str(self.load_path.resolve())
        # Check presence of the model files
        if tf.train.checkpoint_exists(path):
            log.info('[loading model from {}]'.format(path))
            # Exclude optimizer variables from saved variables
            var_list = self._get_saveable_variables(exclude_scopes)
            saver = tf.train.Saver(var_list)
            saver.restore(self.sess, path)
def load(self, exclude_scopes: tuple = ('Optimizer',)) -> None:
        """Load model parameters from self.load_path"""
        if not hasattr(self, 'sess'):
            raise RuntimeError('Your TensorFlow model {} must'
                               ' have sess attribute!'.format(self.__class__.__name__))
        path = str(self.load_path.resolve())
        # Check presence of the model files
        if tf.train.checkpoint_exists(path):
            log.info('[loading model from {}]'.format(path))
            # Exclude optimizer variables from saved variables
            var_list = self._get_saveable_variables(exclude_scopes)
            saver = tf.train.Saver(var_list)
            saver.restore(self.sess, path)
Load model parameters from self.load_path