code: def forward(
      self,
      rays_o,
      rays_d,
      mvp,
      light_d=None,
      ambient_ratio=1.0,
      shading_type=None,
      return_normal_image=False,
      return_vertices=False,
      return_faces=False,
      return_faces_normals=False,
      **kwargs,
  ):
      if not self.initialized:
          self.init_tet()
          self.initialized = True
      return self._render(
          rays_o=rays_o,
          rays_d=rays_d,
          mvp=mvp,
          light_d=light_d,
          ambient_ratio=ambient_ratio,
          shading_type=shading_type,
          return_normal_image=return_normal_image,
          return_vertices=return_vertices,
          return_faces=return_faces,
          return_faces_normals=return_faces_normals,
          **kwargs,
      )
  
file_path: NeMo/nemo/collections/multimodal/modules/nerf/renderers/nvdiffrast_renderer.py
imports: import math
  import numpy
  import nvdiffrast.torch
  import torch
  import torch.nn.functional
  from nemo.collections.multimodal.modules.nerf.geometry.dmtet import DeepMarchingTetrahedra
  from nemo.collections.multimodal.modules.nerf.geometry.nerf_base import DensityActivationEnum
  from nemo.collections.multimodal.modules.nerf.renderers.base_renderer import BaseRenderer
label_desc: Use image node_id 4 for calling the NVDiffRastRenderer obj's underlying member method code with example usage: obj.forward(rays_o, rays_d, mvp, light_d, ambient_ratio, shading_type, return_normal_image, return_vertices, return_faces, return_faces_normals) and returns: self