4/21/2025
at
12:21:27 AM
Show HN: Keep your PyTorch model in VRAM by hot swapping code
https://github.com/valine/training-hot-swap/
by valine
4/21/2025
at
5:22:33 AM
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.
by NitpickLawyer
4/21/2025
at
4:34:10 AM
Tensor visualizer app itself already looks pretty interesting
by pizza
4/21/2025
at
4:38:13 AM
Thanks, I will do a deep writeup on that at some point.
by valine
4/21/2025
at
6:30:30 AM
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.
by kombine
4/21/2025
at
6:40:20 AM
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.
by valine
4/21/2025
at
1:21:30 PM
Yeah, sadly the link to their visualizations is gated behind X.com
by iaw
4/21/2025
at
2:03:52 PM
you can use xcancel.com by adding cancel after the x url
by CheeksTheGeek
4/21/2025
at
3:08:04 AM
[flagged]
by mathibela
4/21/2025
at
3:07:44 AM
[flagged]
by mathibela