code: def build_transformer(
      d_model=512,
      dropout=0.15,
      nhead=8,
      num_glance_enc_layers=3,
      num_gaze_s1_dec_layers=3,
      num_gaze_s1_enc_layers=3,
      num_gaze_s2_dec_layers=3,
      dim_feedforward=2048,
  ):
      return Transformer(
          d_model=d_model,
          dropout=dropout,
          nhead=nhead,
          num_glance_enc_layers=num_glance_enc_layers,
          num_gaze_s1_dec_layers=num_gaze_s1_dec_layers,
          num_gaze_s1_enc_layers=num_gaze_s1_enc_layers,
          num_gaze_s2_dec_layers=num_gaze_s2_dec_layers,
          dim_feedforward=dim_feedforward,
      )
  
imports: import copy
  import torch
  import torch.nn.functional
  from typing import Optional
  from torch import nn, Tensor
label_desc: Use image node_id 2 for calling a global function with example usage: build_transformer(d_model, dropout, nhead, num_glance_enc_layers, num_gaze_s1_dec_layers, num_gaze_s1_enc_layers, num_gaze_s2_dec_layers, dim_feedforward) and returns: Transformer