code: def xavier_uniform(D_in, D_out):
      scale = math.sqrt(6.0 / float(D_in + D_out))
      noise = torch.rand(D_in, D_out)
      return 2.0 * scale * noise - scale
  
imports: import math
  import torch
label_desc: Use image node_id 1 for calling a global function with example usage: xavier_uniform(D_in, D_out) and returns: unknown