code: def __init__(
      self, dims=[256, 256, 256], weight_norm=True, multires_view=4
  ):
      super().__init__()
      dims = [3 + 3] + dims + [1]
  
      embedview_fn, input_ch = get_embedder(multires_view)
      self.embedview_fn = embedview_fn
      dims[0] += input_ch - 3
      dims[0] += input_ch - 3
      self.num_layers = len(dims)
  
      for l in range(0, self.num_layers - 1):
          out_dim = dims[l + 1]
          lin = nn.Linear(dims[l], out_dim)
  
          if weight_norm:
              lin = nn.utils.weight_norm(lin)
  
          setattr(self, "lin" + str(l), lin)
  
      self.relu = nn.ReLU()
      self.tanh = nn.Tanh()
  
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 1 to create a new SpecularNetwork object from inherited base classes: nn with example: obj = SpecularNetwork(dims, weight_norm, multires_view)