class_docstr: Base class for volume rendering.
  
  Implementation follows Ben Mildenhall et el. (2020) at https://arxiv.org/abs/2003.08934.
class_docstr_tok: ["Base","class","for","volume","rendering",".","Implementation","follows","Ben","Mildenhall","et","el",".","(","2020",")","at","https",":","\/\/arxiv.org\/abs\/2003.08934","."]
code: def forward(
      self, rgbs: Tensor, densities: Tensor, points_3d: Tensor
  ) -> Tensor:
      raise NotImplementedError
  
file_path: kornia/kornia/nerf/volume_renderer.py
imports: import torch
  from kornia.core import Tensor
  from kornia.core.check import KORNIA_CHECK_SHAPE
  from kornia.nerf.samplers import calc_ray_t_vals
label_desc: Use image node_id 3 for calling the VolumeRenderer obj's underlying member method code with example usage: obj.forward(rgbs, densities, points_3d) without return types