Yuanming Hu

The billiards example is not implemented with the time-of-impact fix (see our paper) so I'm not surprised that it's making inverse progress. I'll fix this in a few days.

Hi @DomNomNom , I added the TOI fix to billiards.py. Gradient quality is significantly improved. Could you have a try? (PS: please also upgrade taichi to 0.4.6+). Thanks.

We are actively working on supporting pre-Pascal GPUs, which has a different unified memory behavior compared to Pascal devices - sorry about the inconvenience. Meanwhile, most examples do not need...

That's rendered using https://github.com/yuanming-hu/difftaichi/blob/master/examples/diffmpm_renderer.py However, this script is currently broken due to a recent compiler backend update. I'll fix this within the next week and please have fun with other...

Hi guys, sorry about the delay. I'm recently refactoring Taichi for more compatibility and performance. I'll fix the renderer within 3 days. (Ping me again if I don't, thanks.)

oh sorry i've got too many things to do. Will try tonight/early next week.

For those who are eager to render the particles: the working demo is https://github.com/taichi-dev/taichi/blob/cf77f936e3c084003dc80067fbdcba9762cfa5e3/examples/renderer.py

Yeah this is just a bunch of random particles within a cube. Particle loading is not yet implemented. (Sorry I've got too many things to do recently...the particle output of...

I guess for the `billiards` example, the computation is little yet the majority of time might has been spent on the Python binding (pybind11).

Hi, Sorry for the long delay. I get absorbed into several other projects. Please do a "git pull" and "git submodule update". You can train using images in folders using...