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When I read the taichi doc, taichi support autodiff funcation by kernel_func.grad. So is it possible to directly use kernel_func.grad in the backward function during taichi-3dgs?
The text was updated successfully, but these errors were encountered:
I've tried that before: #53
It seems taichi's autodiff system is still buggy and cannot produce the correct gradient. It seems the taichi's autodiff implementation is pretty naive.
When I read the taichi doc, taichi support autodiff funcation by kernel_func.grad. So is it possible to directly use kernel_func.grad in the backward function during taichi-3dgs?
The text was updated successfully, but these errors were encountered: