code: def test_to_memory_format(self):
      m = torch.nn.Conv2d(
          in_channels=16, out_channels=32, kernel_size=2, bias=True
      )
      m = m.to(memory_format=torch.channels_last)
      for param in m.parameters():
          if param.dim() == 4:
              self.assertTrue(
                  param.is_contiguous(memory_format=torch.channels_last)
              )
  
imports: import itertools
  import random
  import torch
  from torch.testing._internal.common_utils import TestCase, run_tests
  import torch.nn.utils.rnn
label_desc: Use image node_id 10 for calling the PackedSequenceTest obj's underlying member method code with example usage: obj.test_to_memory_format() without return types