code: def compute_Bilinear_madd(module, inp1, inp2, out):
      assert isinstance(module, nn.Bilinear)
      assert (
          len(inp1.size()) == 2
          and len(inp2.size()) == 2
          and len(out.size()) == 2
      )
  
      num_in_features_1 = inp1.size()[1]
      num_in_features_2 = inp2.size()[1]
      num_out_features = out.size()[1]
  
      mul = num_in_features_1 * num_in_features_2 + num_in_features_2
      add = (
          num_in_features_1 * num_in_features_2 + num_in_features_2 - 1
      )
      return num_out_features * (mul + add)
  
file_path: tensorwatch/tensorwatch/model_graph/torchstat/compute_madd.py
imports: import torch.nn
label_desc: Use image node_id 9 for calling a global function with example usage: compute_Bilinear_madd(module, inp1, inp2, out) and returns: unknown