code: def test_ele():
      data_info = {"in_size": 10, "out_size": 1}
      model = ElementWiseProductPredictor(data_info)
      num_pairs = 10
      h_src = torch.randn(num_pairs, data_info["in_size"])
      h_dst = torch.randn(num_pairs, data_info["in_size"])
      model(h_src, h_dst)
  
file_path: dgl/tests/go/test_model.py
imports: import dgl
  import pytest
  import torch
  from utils.graph_cases import get_cases
  from dglgo.model import *
label_desc: Use image node_id 10 for calling a global function with example usage: test_ele() without return types