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tensorflow
tf.summary.text support for styling/annotating words
see #830
it would be great to log summary text that can produce highlighing like so:
i.e. some markdown support for something like
Optimising [quantum]{"color: #ff0000aa"} [whatever]{"color: #ff000000"} ...
Generalizing this issue to encompass styling words not just to indicate attention but also other use cases like tagging words. It seems like at a minimum, this requires some way to highlight text with a custom color value. If you think this requires more than just highlighting (versus what could be done by preprocessing the text and using other markdown features that are already supported), please chime in.
i think it's unfortunate to not allow html styling. i understand that google may not want that, but i'd say that most companies actually don't have the same security concerns as google.
so i think a fine suggestion is just a plugin, that is off by default, but enable-able via the command line, that allows this, would be great.
alternatively, it seems your only other option is to add a new method, like tf.summary.text_highlighted, to specialise it to all the cases you deem appropriate.
:woman_shrugging:
for what it's worth, i just worked around it ages ago, by doing highlighting in an image, and logging the image instead.
Understood that there's still interest in the full flexibility and attendant risk of allowing arbitrary HTML.
For what it's worth, we are tentatively working on making it easier to develop/distribute/install third-party plugins that don't require any approval/vetting from the core team, so it's quite possible that other parties who have a different sense of the security/convenience tradeoff could create a plugin for arbitrary HTML rendering, even if it doesn't get merged into core TensorBoard.
FWIW, there has been work on the second paragraph of my previous comment, for third-party dynamic plugins: https://github.com/tensorflow/community/blob/master/rfcs/20190411-tensorboard-improved-plugin-ext.md
