Method initialize

tensorpack/train/trainers.py:244–251

(self, session_creator, session_init)

    @HIDE_DOC
    def initialize(self, session_creator, session_init):
        if not isinstance(session_creator, NewSessionCreator) or \
                session_creator.user_provided_config:
            raise ValueError(
                "You are not allowed to set session_creator or session_config for distributed training! "
                "To use a custom session config, pass it to tf.train.Server.")
        super(DistributedTrainerBase, self).initialize(
            get_distributed_session_creator(self.server), session_init)


# This is slow. deprecated in favor of horovod