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ValueError: Invalid shape for means3d: torch.Size([0, 3])
Describe the bug Trained splatfacto till 600 steps, then reports the error.
Traceback (most recent call last):
File "/nerfstudio/scripts/train.py", line 294, in <module>
entrypoint()
File "/nerfstudio/scripts/train.py", line 285, in entrypoint
main(
File "/nerfstudio/scripts/train.py", line 270, in main
launch(
File "/nerfstudio/scripts/train.py", line 199, in launch
main_func(local_rank=0, world_size=world_size, config=config)
File "/nerfstudio/scripts/train.py", line 106, in train_loop
trainer.train()
File "/nerfstudio/engine/trainer.py", line 273, in train
loss, loss_dict, metrics_dict = self.train_iteration(step)
File "/nerfstudio/utils/profiler.py", line 130, in inner
out = func(*args, **kwargs)
File "/nerfstudio/engine/trainer.py", line 527, in train_iteration
_, loss_dict, metrics_dict = self.pipeline.get_train_loss_dict(step=step)
File "/nerfstudio/utils/profiler.py", line 130, in inner
out = func(*args, **kwargs)
File "/nerfstudio/pipelines/base_pipeline.py", line 326, in get_train_loss_dict
model_outputs = self._model(
File "/opt/python/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/opt/python/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "/nerfstudio/models/base_model.py", line 153, in forward
return self.get_outputs(ray_bundle)
File "/nerfstudio/models/splatfacto.py", line 838, in get_outputs
self.xys, depths, self.radii, conics, comp, num_tiles_hit, cov3d = project_gaussians( # type: ignore
File "/opt/python/lib/python3.9/site-packages/gsplat/project_gaussians.py", line 61, in project_gaussians
return _ProjectGaussians.apply(
File "/opt/python/lib/python3.9/site-packages/torch/autograd/function.py", line 539, in apply
return super().apply(*args, **kwargs) # type: ignore[misc]
File "/opt/python/lib/python3.9/site-packages/gsplat/project_gaussians.py", line 102, in forward
raise ValueError(f"Invalid shape for means3d: {means3d.shape}")
ValueError: Invalid shape for means3d: torch.Size([0, 3])
Default training parameters are used.
NerfStudio: 1.0.3 gsplat: 0.1.6
Thank you for the help!
Hi! What dataset are you training on? means3d: torch.Size([0, 3])
means there are 0 points hence the invalid shape error in projection step. I cannot recreate this error on my end, can you provide more details please?
Having the same issue, the same dataset used to work fine until today, now it started to give this error, using default parameters with splatfacto
Everytime it starts it downloads some weights for pytorch: have those been changed and are them causing the issue?
Could you upgrade your gsplat library?