code: def Linear(in_features, out_features, bias=True):
      m = nn.Linear(in_features, out_features, bias)
      nn.init.xavier_uniform_(m.weight)
      if bias:
          nn.init.constant_(m.bias, 0.0)
      return m
  
imports: import math
  from collections import namedtuple
  import torch
  import torch.nn
  import torch.nn.functional
  from fairseq import options, utils
  from fairseq.modules import AdaptiveSoftmax, LayerNorm, MultiheadAttention, PositionalEmbedding
label_desc: Use image node_id 2 for calling a global function with example usage: Linear(in_features, out_features, bias) and returns: m