Tensorflow: scalar_summary重复异常

Question

为了学习如何使用摘要，我正在跟踪张板教程，并不断地得到下面的错误。它在调用时抛出错误：

summary_op = tf.merge_all_summaries()

但问题似乎就在这里：

def variable_summaries(var):
  with tf.name_scope('summaries'):
    mean = tf.reduce_mean(var)
    tf.scalar_summary('mean', mean)

有什么线索吗为什么会这样？

InvalidArgumentError (回溯参见上文)：摘要输入中找到的重复标记平均值[[Node: Merge汇总/Merge汇总= MergeSummarydevice="/job:localhost/replica:0/task:0/cpu:0“]]

Answer 1

问题在于我得到代码的源头。张紧板连接带我们到了代码错误的主版本：

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)

其他版本有以下代码：

def variable_summaries(var, name):
  """Attach a lot of summaries to a Tensor."""
  with tf.name_scope('summaries'):
    mean = tf.reduce_mean(var)
    tf.scalar_summary('mean/' + name, mean)
    with tf.name_scope('stddev'):
      stddev = tf.sqrt(tf.reduce_mean(tf.square(var - mean)))
    tf.scalar_summary('stddev/' + name, stddev)
    tf.scalar_summary('max/' + name, tf.reduce_max(var))
    tf.scalar_summary('min/' + name, tf.reduce_min(var))
    tf.histogram_summary(name, var)