Comments (3)
Hi!
Thanks for taking your time to track this down :)
Your approach how to handle 4-dimensional image tensors is good, but Neptune server requires X-axis to be strictly monotonic (for each x, it must be larger than the previous one), otherwise all images except the first one will be dropped with a warning.
This particular piece of code should work with previews versions of TF as well - with 2 and 3 dimensional tensors
We created #41 based on your issue and sent it to review/testing on our side, you're welcome to take part in this process and see if it works with your code correctly :)
from neptune-tensorboard.
Hi,
We released version 0.5.1 that contains a fix based on your solution.
Feel free to try it out :)
from neptune-tensorboard.
Hi,
Sorry I missed you last comment. It is working great for me !
Many thanks for your efficiency :)
from neptune-tensorboard.
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