evaluation.py 文件源码

def log_values(writer, itr, tags=None, values=None, dict=None):

    if dict is not None:
        assert tags is None and values is None
        tags = dict.keys()
        values = dict.values()
    else:

        if not nest.is_sequence(tags):
            tags, values = [tags], [values]

        elif len(tags) != len(values):
            raise ValueError('tag and value have different lenghts:'
                             ' {} vs {}'.format(len(tags), len(values)))

    for t, v in zip(tags, values):
        summary = tf.Summary.Value(tag=t, simple_value=v)
        summary = tf.Summary(value=[summary])
        writer.add_summary(summary, itr)