code: def test_qtensor_contiguous(device):
      input_shape = (2, 4, 8)
      qa = random_qtensor(input_shape, dtype=torch.float32).to(device)
      assert qa.is_contiguous()
      tqa = qa.transpose(2, 1)
      assert not tqa.is_contiguous()
      tqa = tqa.contiguous()
      assert tqa.is_contiguous()
  
file_path: quanto/test/tensor/test_qtensor.py
imports: import os
  from tempfile import TemporaryDirectory
  import pytest
  import torch
  from helpers import assert_similar, device_eq, q_assert_close, random_qtensor, random_tensor
  from quanto import QTensor, absmax_scale
label_desc: Use image node_id 10 for calling a global function with example usage: test_qtensor_contiguous(device) without return types