NameError: name 'tcnn' is not defined when trying to train nerfacto

Describe the bug I get a NameError: name 'tcnn' is not defined error right after starting to train nerfacto model Vanilla model is trained without issues though

[visualizer.py:96] Sending ping to the viewer Bridge Server...
[visualizer.py:98] Successfully connected.
[WARNING] Not running eval iterations since only viewer is enabled. Use `--vis wandb` or `--vis tensorboard` to run
with eval instead.
disabled tensorboard/wandb event writers
Auto image downscale factor of 2
[nerfstudio_dataparser.py:91] Skipping 0 files in dataset split train.
Auto image downscale factor of 2
[nerfstudio_dataparser.py:91] Skipping 0 files in dataset split val.
Loading data batch ---------------------------------------- 100% 0:00:00
Loading data batch ---------------------------------------- 100% 0:00:00
[profiler.py:85] Printing profiling stats, from longest to shortest duration in seconds
Traceback (most recent call last):
  File "C:\Users\user\miniconda3\envs\nerfstudio\lib\runpy.py", line 194, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "C:\Users\user\miniconda3\envs\nerfstudio\lib\runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "C:\Users\user\miniconda3\envs\nerfstudio\Scripts\ns-train.exe\__main__.py", line 7, in <module>
  File "C:\Code\nerfstudio\scripts\train.py", line 216, in entrypoint
    main(tyro.cli(AnnotatedBaseConfigUnion))
  File "C:\Code\nerfstudio\scripts\train.py", line 202, in main
    launch(
  File "C:\Code\nerfstudio\scripts\train.py", line 145, in launch
    main_func(local_rank=0, world_size=1, config=config)
  File "C:\Code\nerfstudio\nerfstudio\engine\trainer.py", line 62, in train_loop
    trainer.setup()
  File "C:\Code\nerfstudio\nerfstudio\engine\trainer.py", line 129, in setup
    self.pipeline: VanillaPipeline = self.config.pipeline.setup(
  File "C:\Code\nerfstudio\nerfstudio\configs\base_config.py", line 62, in setup
    return self._target(self, **kwargs)
  File "C:\Code\nerfstudio\nerfstudio\pipelines\base_pipeline.py", line 220, in __init__
    self._model = config.model.setup(
  File "C:\Code\nerfstudio\nerfstudio\configs\base_config.py", line 62, in setup
    return self._target(self, **kwargs)
  File "C:\Code\nerfstudio\nerfstudio\models\base_model.py", line 80, in __init__
    self.populate_modules()  # populate the modules
  File "C:\Code\nerfstudio\nerfstudio\models\nerfacto.py", line 104, in populate_modules
    self.field = TCNNNerfactoField(
  File "C:\Code\nerfstudio\nerfstudio\fields\nerfacto_field.py", line 123, in __init__
    self.direction_encoding = tcnn.Encoding(
NameError: name 'tcnn' is not defined

Windows 10 Nvidia A6000

[dokluch]

@akristoffersen just found out that tinycudann fails to install and to compile on my machine. Will try to investigate.

[THE-COB]

Hi, this generally means that tinycuda didn’t get installed correctly.

As a test, if you open up an interactive python environment, does importing tinycudann work? If not, this means that the conda environment hasn’t installed tinycuda correctly.

(nerfstudio) $ python3
> import tinycudann

Hi sorry I’m new here (so my issue might be dumb) and I’m working on install. I’m getting the same error as stated in the issue, but I think I was able to install tiny cuda nn using the instructions in readme. This runs perfectly fine:

(nerfstudio) PS C:\Users\rohan\Documents\fa22\cs194\nerfystuff> python
Python 3.8.15 (default, Nov 24 2022, 14:38:14) [MSC v.1916 64 bit (AMD64)] :: Anaconda, Inc. on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import tinycudann
>>>

Any ideas?

EDIT: The problem was fixed when I built from source! Does it mean some new version just needs to be pushed to pip or whatever?