code: def __init__(
      self, gain=1, bias=False, bias_only=False, module_filter="*"
  ):
      self.gain = gain
  
      self.bias = bias
      self.bias_only = bias_only
      self.module_filter = module_filter
  
      super(XavierNormal, self).__init__()
  
imports: from fnmatch import fnmatch
  import torch.nn.init
label_desc: Use image node_id 1 to create a new XavierNormal object from inherited base classes: Initializer with example: obj = XavierNormal(gain, bias, bias_only, module_filter)