77 points valine | 9 comments | | HN request time: 1.256s | source | bottom
1. pizza ◴[] No.43748523[source]
Tensor visualizer app itself already looks pretty interesting
replies(2): >>43748543 #>>43751719 #
2. valine ◴[] No.43748543[source]
Thanks, I will do a deep writeup on that at some point.
replies(1): >>43748970 #
3. NitpickLawyer ◴[] No.43748700[source]
We use python notebooks for that functionality in the early stages of script testing. Load a cell up top with the model, then do your stuff below, and once things look good convert it to a normal python script.
4. ◴[] No.43748773[source]
5. kombine ◴[] No.43748970{3}[source]
Are you running both DearImGui visualisation and training locally? If not, how can one use it in the client-server mode? I think this is the most common requirement for visualisation libraries in Deep Learning.
replies(1): >>43749000 #
6. valine ◴[] No.43749000{4}[source]
The rendering is done with OpenGL, and for remote viewing I just render to an offscreen framebuffer and stream it back to the client with WebRTC. The code for that isn’t public yet, still needs some cleanup.
7. iaw ◴[] No.43751719[source]
Yeah, sadly the link to their visualizations is gated behind X.com
replies(1): >>43752139 #
8. CheeksTheGeek ◴[] No.43752139{3}[source]
you can use xcancel.com by adding cancel after the x url