code: def test_cat(self):
      class CatModule(torch.nn.Module):
          def __init__(self, dim):
              super().__init__()
              self.dim = dim
  
          def forward(self, t1, t2):
              return torch.cat([t1, t2], self.dim)
  
      self.check(
          CatModule(0),
          [
              torch.randn(1, 2, 3, 3),
              torch.randn(2, 2, 3, 3),
          ],
      )
  
      self.check(
          CatModule(1),
          [
              torch.randn(1, 2, 3, 3),
              torch.randn(1, 4, 3, 3),
          ],
      )
  
      self.check(
          CatModule(1),
          [
              nhwc(torch.randn(1, 2, 3, 3)),
              nhwc(torch.randn(1, 4, 3, 3)),
          ],
      )
  
      self.check(
          CatModule(1),
          [
              torch.randn(1, 2, 3, 3),
              torch.randn(1, 4, 3, 3),
          ],
          convert_args=[
              torch.zeros(0, 0, 0, 0),
              torch.zeros(0, 0, 0, 0),
          ],
      )
  
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 13 for calling the TestNNAPI obj's underlying member method code with example usage: obj.test_cat() and returns: torch