Show HN: Keep your PyTorch model in VRAM by hot swapping code
77 points by valine 2 months ago | 7 comments- NitpickLawyer 2 months agoWe 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.
- pizza 2 months agoTensor visualizer app itself already looks pretty interesting
- valine 2 months agoThanks, I will do a deep writeup on that at some point.
- kombine 2 months agoAre 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.
- valine 2 months agoThe 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.
- valine 2 months ago
- kombine 2 months ago
- iaw 2 months agoYeah, sadly the link to their visualizations is gated behind X.com
- CheeksTheGeek 2 months agoyou can use xcancel.com by adding cancel after the x url
- CheeksTheGeek 2 months ago
- valine 2 months ago
- 2 months ago
- mathibela 2 months ago[flagged]
- mathibela 2 months ago[flagged]