Printing profiling stats, from longest to shortest duration in seconds
Trainer.train_iteration: 0.0465
VanillaPipeline.get_train_loss_dict: 0.0385
VanillaPipeline.get_eval_image_metrics_and_images: 0.0135
Trainer.eval_iteration: 0.0001
Traceback (most recent call last):
File "/usr/local/bin/ns-train", line 8, in <module>
sys.exit(entrypoint())
File "/workspace/NERFSTUDIO_GSPLAT1/nerfstudio/nerfstudio/scripts/train.py", line 262, in entrypoint
main(
File "/workspace/NERFSTUDIO_GSPLAT1/nerfstudio/nerfstudio/scripts/train.py", line 247, in main
launch(
File "/workspace/NERFSTUDIO_GSPLAT1/nerfstudio/nerfstudio/scripts/train.py", line 189, in launch
main_func(local_rank=0, world_size=world_size, config=config)
File "/workspace/NERFSTUDIO_GSPLAT1/nerfstudio/nerfstudio/scripts/train.py", line 100, in train_loop
trainer.train()
File "/workspace/NERFSTUDIO_GSPLAT1/nerfstudio/nerfstudio/engine/trainer.py", line 298, in train
self.eval_iteration(step)
File "/workspace/NERFSTUDIO_GSPLAT1/nerfstudio/nerfstudio/utils/decorators.py", line 70, in wrapper
ret = func(self, *args, **kwargs)
File "/workspace/NERFSTUDIO_GSPLAT1/nerfstudio/nerfstudio/utils/profiler.py", line 112, in inner
out = func(*args, **kwargs)
File "/workspace/NERFSTUDIO_GSPLAT1/nerfstudio/nerfstudio/engine/trainer.py", line 545, in eval_iteration
metrics_dict, images_dict = self.pipeline.get_eval_image_metrics_and_images(step=step)
File "/workspace/NERFSTUDIO_GSPLAT1/nerfstudio/nerfstudio/utils/profiler.py", line 112, in inner
out = func(*args, **kwargs)
File "/workspace/NERFSTUDIO_GSPLAT1/nerfstudio/nerfstudio/pipelines/base_pipeline.py", line 340, in get_eval_image_metrics_and_images
outputs = self.model.get_outputs_for_camera(camera)
File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/workspace/NERFSTUDIO_GSPLAT1/nerfstudio/nerfstudio/models/splatfacto.py", line 906, in get_outputs_for_camera
outs = self.get_outputs(camera.to(self.device))
File "/workspace/NERFSTUDIO_GSPLAT1/nerfstudio/nerfstudio/models/splatfacto.py", line 789, in get_outputs
rgb = render[:, ..., :3] + (1 - alpha) * background
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
Traceback (most recent call last):
File "/usr/local/bin/ns-train", line 8, in <module>
sys.exit(entrypoint())
File "/workspace/NERFSTUDIO_GSPLAT1/nerfstudio/nerfstudio/scripts/train.py", line 262, in entrypoint
main(
File "/workspace/NERFSTUDIO_GSPLAT1/nerfstudio/nerfstudio/scripts/train.py", line 247, in main
launch(
File "/workspace/NERFSTUDIO_GSPLAT1/nerfstudio/nerfstudio/scripts/train.py", line 189, in launch
main_func(local_rank=0, world_size=world_size, config=config)
File "/workspace/NERFSTUDIO_GSPLAT1/nerfstudio/nerfstudio/scripts/train.py", line 100, in train_loop
trainer.train()
File "/workspace/NERFSTUDIO_GSPLAT1/nerfstudio/nerfstudio/engine/trainer.py", line 298, in train
self.eval_iteration(step)
File "/workspace/NERFSTUDIO_GSPLAT1/nerfstudio/nerfstudio/utils/decorators.py", line 70, in wrapper
ret = func(self, *args, **kwargs)
File "/workspace/NERFSTUDIO_GSPLAT1/nerfstudio/nerfstudio/utils/profiler.py", line 112, in inner
out = func(*args, **kwargs)
File "/workspace/NERFSTUDIO_GSPLAT1/nerfstudio/nerfstudio/engine/trainer.py", line 545, in eval_iteration
metrics_dict, images_dict = self.pipeline.get_eval_image_metrics_and_images(step=step)
File "/workspace/NERFSTUDIO_GSPLAT1/nerfstudio/nerfstudio/utils/profiler.py", line 112, in inner
out = func(*args, **kwargs)
File "/workspace/NERFSTUDIO_GSPLAT1/nerfstudio/nerfstudio/pipelines/base_pipeline.py", line 340, in get_eval_image_metrics_and_images
outputs = self.model.get_outputs_for_camera(camera)
File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/workspace/NERFSTUDIO_GSPLAT1/nerfstudio/nerfstudio/models/splatfacto.py", line 906, in get_outputs_for_camera
outs = self.get_outputs(camera.to(self.device))
File "/workspace/NERFSTUDIO_GSPLAT1/nerfstudio/nerfstudio/models/splatfacto.py", line 789, in get_outputs
rgb = render[:, ..., :3] + (1 - alpha) * background
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
It worked if I used previous version of nerfstudio==1.1.0 and gsplat==0.1.12
Additional info:
Error logs
It worked if I used previous version of
nerfstudio==1.1.0
andgsplat==0.1.12