[Markdown Supports] Maths, Python code etc..
See original GitHub issueHi,
Description
Thank you for providing us this great visualisation tool!! If possible, I’d like to make a Feature requrest regarding Markdown support on Tensorboard.
Currently, if you run the code below, you would get a super simple plot with a description next to the plot. But, unfortunatelly, Tensorboard doesn’t render the text(in the code, description
) as I use other Markdown editors, e.g., Typora. So, I’d like to know your thoughts on this feature request.
Sample Code
import tensorflow as tf
tf.compat.v1.enable_eager_execution()
writer = tf.compat.v2.summary.create_file_writer("./tmp/")
description = """
```python
print("hello world")
```
## Table
---
| Tables | Are | Cool |
|----------|:-------------:|------:|
| col 1 is | left-aligned | $1600 |
| col 2 is | centered | $12 |
| col 3 is | right-aligned | $1 |
`sh push.sh`
- asdf
- asd
1. asdf
2. asdf
This is an example of an inline MathJax expression: \\( 2 \times 2 = 4 \\)
$\theta$,
$$
\theta
$$
"""
with writer.as_default():
with tf.contrib.summary.always_record_summaries():
tf.compat.v2.summary.scalar(name="sample",
data=tf.constant(1),
step=0,
description=description)
Env
- OS: Ubuntu 18.04
- Python: 3.7.4
- TensorFlow: 1.14.0
- TensorBoard: 1.14.0
Sorry, since Github tries to render even the text in the python code, it doesn’t look organised but I hope you’ll get my point…
Issue Analytics
- State:
- Created 4 years ago
- Comments:5 (2 by maintainers)
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Hi, is there any update on this feature request? I know these two plugins might help: Highlight for syntax highlight and Arithmatex for math parsing.
No update in terms of implementation.
As some context, we’d ultimately prefer to do our markdown rendering client-side in javascript (to avoid preprocessing overhead for markdown that the user doesn’t actually ever see), but that’s been blocked on arriving at a good enough HTML sanitizer story. Given that, I think we’re unlikely to want to enable any Markdown extensions that only have a python implementation (especially those that involve extra pip package deps) since that wouldn’t be portable.
The fenced code blocks are pretty standard and included in the existing markdown package, so if someone wants to send a PR that enables that extension I think we’d be happy to turn it on.