Stuck on an issue?

Lightrun Answers was designed to reduce the constant googling that comes with debugging 3rd party libraries. It collects links to all the places you might be looking at while hunting down a tough bug.

And, if you’re still stuck at the end, we’re happy to hop on a call to see how we can help out.

Missing document of side-effect on graph visualization of None grads

See original GitHub issue

As a side-effect of defining “non-differentiable” functions (e.g. returning None gradients) in favor of performance, unchained nodes won’t appear in the visualizations of the computational graphs.

This may be intuitive or not, depending on the function. We might consider document this behavior.

Issue Analytics

State:
Created 6 years ago
Comments:7 (2 by maintainers)

Top GitHub Comments

1reaction

mitmulcommented, May 14, 2018

I’ll add some descriptions for

F.sign
unchain()

0reactions

stale[bot]commented, Dec 25, 2018

This issue is closed as announced. Feel free to re-open it if needed.

Top Results From Across the Web

Bad Data Visualization: 5 Examples of Misleading Data

Bad data visualization can lead to many negative outcomes, such as faulty business decisions. Here are five common visualization mistakes to ...

Forum Guide to Data Visualization: A Resource for Agencies

The purpose of this document is to recommend data visualization practices that will help education agencies communicate data meaning in visual formats that ......

Visualizing Not Applicable or Missing Data

If the data is missing consistently it is good to note but not a super critical issue. ... Add a Graph on the...

Data Visualization – How to Pick the Right Chart Type?

Learn about its best practices, types of data visualization charts, and how to pick the right chart to recognize the value in your...

An Overview of Common Data Visualization Mistakes

Quantitative data is of no use without interpretation. Data visualizations synthesize the meaning of raw data into coherent takeaways.