tf_retrain.py 文件源码

def variable_summaries(var, name):
  """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/' + name, mean)
    with tf.name_scope('stddev'):
      stddev = tf.sqrt(tf.reduce_mean(tf.square(var - mean)))
    tf.summary.scalar('stddev/' + name, stddev)
    tf.summary.scalar('max/' + name, tf.reduce_max(var))
    tf.summary.scalar('min/' + name, tf.reduce_min(var))
    tf.summary.histogram(name, var)