code: def test_seblock_mul(self):
      class MulModel(torch.nn.Module):
          def forward(self, lhs, rhs):
              return lhs * rhs
  
      self.check(
          MulModel(),
          [
              nhwc(torch.randn(2, 3, 4, 4)),
              torch.randn(1, 3, 1, 1),
          ],
      )
  
imports: import os
  import ctypes
  import torch
  import unittest
  from typing import Tuple
  from torch.backends._nnapi.prepare import convert_model_to_nnapi
  from torch.testing._internal.common_quantized import supported_qengines
  from torch.testing._internal.common_utils import TestCase, run_tests
label_desc: Use image node_id 32 for calling the TestNNAPI obj's underlying member method code with example usage: obj.test_seblock_mul() and returns: unknown