code: def GlorotOrthogonal(tensor, scale=2.0):
      if tensor is not None:
          nn.init.orthogonal_(tensor.data)
          scale /= (tensor.size(-2) + tensor.size(-1)) * tensor.var()
          tensor.data *= scale.sqrt()
  
label_desc: Use image node_id 1 for calling a global function with example usage: GlorotOrthogonal(tensor, scale) without return types