Smoothing of a constant plot is messed up

[nikonikolov]

When I try to smooth a value which is constant, then some strange spikes appear in the plot.
For example:

Here actor_learn_rate is always a constant. Interestingly, in its own tab it is displayed correctly, but in the Tags matching tab it is messed up. When I hover over the plot at a point corresponding to a spike, the correct value of 1e-4 is reported. The case is the same for critic_learn_rate.

Interestingly, the spikes depend on the smoothing value. For example, for a smoothing value of 0.222, there are no spikes:

However, the orange line is not displayed at 1e-4 which is the correct value.

Then a smoothing value of 0 is the same.

My version is tensorflow-tensorboard (0.4.0rc3)

[netheril96]

I have the same problem. It only shows up in the recent version the tensorboard, but not old ones.

[nfelt]

Hmm, if it's only showing up in the latest release of TensorBoard, I wonder if it might be inadvertently introduced by #639 ? cc @alexirpan

[danijar]

I can try to take a look at the smoothing code (there are some other changes I'd like to play with). Can I edit the smoothing code of a running TensorBoard instance from the browser somehow or how would you suggest getting started?

[alexirpan]

When I worked on #639 I downloaded + built a local copy of the Tensorboard codebase, then worked off of that.

I suspect it's some issue with floating point error, where the code does

d.smoothed = last / debiasWeight;