使用汇总操作训练TensorFlow模型比没有汇总操作要慢得多

我使用TensorFlow r1.0和GPU Nvidia Titan X训练一个类似Inception的模型.

我添加了一些摘要操作来可视化训练过程,使用如下代码:

def variable_summaries(var):
"""Attach a lot of summaries to a Tensor (for TensorBoard visualization)."""
    with tf.name_scope('summaries'):
        mean = tf.reduce_mean(var)
        tf.summary.scalar('mean', mean)
        with tf.name_scope('stddev'):
            stddev = tf.sqrt(tf.reduce_mean(tf.square(var - mean)))
        tf.summary.scalar('stddev', stddev)
        tf.summary.scalar('max', tf.reduce_max(var))
        tf.summary.scalar('min', tf.reduce_min(var))
        tf.summary.histogram('histogram', var)