How to put scalars in the same row in tensorboard in TF2.0?

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System information

• TensorFlow version (you are using): 2.0
• Are you willing to contribute it (Yes/No): Yes

Describe the feature and the current behavior/state.

I did not see related arguments in the documentation. If there is such function, please let me know. 😛

The following code produces a tensorboard with 3 different rows. How to put the first two in one row and the second in the other?

with summary_writer.as_default():
    tf.summary.scalar("training_loss", loss, step=batch_index)
    tf.summary.scalar("learning_rate", optimizer.learning_rate, step=batch_index)
with summary_writer.as_default():
    tf.summary.scalar("validation_loss", val_loss, step=batch_index)

Will this change the current api? How? Probably Who will benefit with this feature?

Any Other info.

[nfelt]

@zhangjh915 the categories are based on common prefixes in the tag names, delimited by slashes like a filename. So e.g. if you emit the summaries with the names tf.summary.scalar("training/training_loss", ...) and tf.summary.scalar("training/validation_loss", ...) it should do what you want.

You can also make this happen automatically by putting them inside a tf.name_scope() block like this:

with tf.name_scope("training"):
  tf.summary.scalar("training_loss", ...)
  tf.summary.scalar("validation_loss", ...)

[david-ngo-sixense]

Yes, it’s working @psybuzz . Thanks very much.