Open MarcusLoppe opened 10 months ago
this is awesome Marcus! will take a look at it tomorrow morning and get it merged!
Awesome work, thanks for including your suggestions to the main, this allows better understanding on the user's side.
Btw since I don't really think grad_accum_every is very useful I removed it from the train function, what is your option?
I forgot and left grad_accum_every in the loss function, so if it wont be used in the train function it should be removed from:
self.accelerator.backward(loss / self.grad_accum_every)
Btw since I don't really think grad_accum_every is very useful I removed it from the train function, what is your option?
I forgot and left grad_accum_every in the loss function, so if it wont be used in the train function it should be removed from:
self.accelerator.backward(loss / self.grad_accum_every)
i'm sure researchers will want to stretch to the next level if this approach pans out (multiple meshes, scenes etc)
probably good to keep it for the gpu poor
Another thing :) I'm not very experienced in using github forks but it seems like the pull request added later commits then when I made the request.
I made bit of a error and replaced entire meshgpt_pytorch.py since there was some weird stash thing and I wanted to ensure it was up to date. I reverted but it seems like that stash thing messed it up bit, please double check if this is the case
hey sorry, the caching stuff took up my entire morning
will revisit this PR tomorrow!
Hi! Thanks for your amazing job! May I ask why in MeshGPT_dem.ipynb has a AttributeError: module 'meshgpt_pytorch.mesh_render' has no attribute 'combind_mesh_with_rows'
Trainer
Data.py
MeshAutoencoder
Setup.py