code: def forward(
      self,
      rays_o,
      rays_d,
      mvp,
      perturb,
      ambient_ratio,
      shading_type,
      binarize,
      return_normal_image,
      return_normal_perturb,
      return_vertices,
      return_faces,
      return_faces_normals,
  ):
      outputs = self.renderer(
          rays_o=rays_o,
          rays_d=rays_d,
          mvp=mvp,
          perturb=perturb,
          ambient_ratio=ambient_ratio,
          shading_type=shading_type,
          binarize=binarize,
          return_normal_image=return_normal_image,
          return_normal_perturb=return_normal_perturb,
          return_vertices=return_vertices,
          return_faces=return_faces,
          return_faces_normals=return_faces_normals,
      )
      return outputs
  
imports: import os
  import random
  import cv2
  import imageio
  import numpy
  import torch
  from nemo.collections.multimodal.models.nerf.txt2nerf_base import Txt2NerfBase
  from nemo.collections.multimodal.modules.nerf.loss.laplacian_smooth_loss import LaplacianSmoothLoss
  from nemo.collections.multimodal.modules.nerf.loss.normal_consistency_loss import NormalConsistencyLoss
  from nemo.collections.multimodal.modules.nerf.materials.materials_base import ShadingEnum
  from nemo.core import optim
label_desc: Use image node_id 7 for calling the DreamFusion obj's underlying member method code with example usage: obj.forward(rays_o, rays_d, mvp, perturb, ambient_ratio, shading_type, binarize, return_normal_image, return_normal_perturb, return_vertices, return_faces, return_faces_normals) and returns: outputs