code: def forward(self, normals):
      Mnormals = self.embedview_fn(normals)
      x = Mnormals
  
      for l in range(0, self.num_layers - 1):
          lin = getattr(self, "lin" + str(l))
  
          x = lin(x)
  
          if l < self.num_layers - 2:
              x = self.relu(x)
  
      x = self.tanh(x)
      return x
  
imports: import torch
  import torch.nn
  import numpy
  import trimesh
  import os
  from utils import rend_util
  from model.embedder import *
  from model.ray_tracing import RayTracing
  from model.sample_network import SampleNetwork
label_desc: Use image node_id 2 for calling the DiffuseNetwork obj's underlying member method code with example usage: obj.forward(normals) and returns: x