9166733c3c144739868fe0c30d57b861b4947b44,keras/backend/tensorflow_backend.py,,get_session,#,136

Before Change

            _SESSION = tf.Session(config=config)
        session = _SESSION
    if not _MANUAL_VAR_INIT:
        with session.graph.as_default():
            _initialize_variables()
    return session


def set_session(session):

After Change

                    candidate_vars.append(v)
            // This step is expensive, so we only run it on variables
            // not already marked as initialized.
            is_initialized = session.run(
                [tf.is_variable_initialized(v) for v in candidate_vars])
            uninitialized_vars = []
            for flag, v in zip(is_initialized, candidate_vars):
                if not flag:
                    uninitialized_vars.append(v)

Instances