Search code examples
tensorflowmarkdowntensorboard

Displaying tf.summary.text with underscores correctly in Tensorboard

I want to log a few strings with underscores to tensorboard. However, the underscores are treated as emphasis somewhere in the pipeline. Here's some example code to illustrate the problem. I've included a few versions that attempt to escape the underscores

import tensorflow as tf
sess = tf.InteractiveSession()
text0 = """/a/b/c_d/f_g_h_2017"""
text1 = """/a/b/c\_d/f\_g\_h\_2017"""
text2 = """/a/b/c\\_d/f\\_g\\_h\\_2017"""

summary_op0 = tf.summary.text('text', tf.convert_to_tensor(text0))
summary_op1 = tf.summary.text('text', tf.convert_to_tensor(text1))
summary_op2 = tf.summary.text('text', tf.convert_to_tensor(text2))
summary_op = tf.summary.merge([summary_op0, summary_op1, summary_op2])
summary_writer = tf.summary.FileWriter('/tmp/tensorboard', sess.graph)
summary = sess.run(summary_op)
summary_writer.add_summary(summary, 0)
summary_writer.flush()
summary_writer.close()

Here's the output:

enter image description here

How can I use tensorboard to properly render strings with tensorboard? Package versions: Tensorflow 1.3.0, TensorBoard 0.1.8

Solution

  • According to this github issue, this is a bug with the current tensorsorboard and Python 3. For now, using backticks as suggested in another answer is sufficient to render the underscores correctly.

    https://github.com/tensorflow/tensorboard/issues/647#issuecomment-337380296