code: def test_cat(self, device):
      bits_types = [
          torch.bits1x8,
          torch.bits2x4,
          torch.bits4x2,
          torch.bits8,
          torch.bits16,
      ]
      for bits_type in bits_types:
          view_type = (
              torch.int8 if bits_type.itemsize == 1 else torch.int16
          )
          x_int = torch.randint(
              100, (512, 512), dtype=view_type, device=device
          )
          x = x_int.view(bits_type)
          y_int = torch.randint(
              100, (512, 512), dtype=view_type, device=device
          )
          y = y_int.view(bits_type)
          for dim, transpose in itertools.product(
              range(x_int.ndim), (True, False)
          ):
              y_ref = y_int.t() if transpose else y_int
              y_b = y.t() if transpose else y
              z_ref = torch.cat([x_int, y_ref], dim=dim)
              z = torch.cat([x, y_b], dim=dim)
              self.assertEqual(z_ref, z.view(view_type))
  
file_path: pytorch/test/quantization/core/experimental/test_bits.py
imports: import torch
  from torch.testing._internal.common_device_type import instantiate_device_type_tests
  from torch.testing._internal.common_utils import run_tests, TestCase, skipIfRocm
  from torch.utils._mode_utils import no_dispatch
  from torch.utils._pytree import tree_map
  import itertools
label_desc: Use image node_id 2 for calling the TestBits obj's underlying member method code with example usage: obj.test_cat(device) without return types