code: def testTorchToJaxFailure(self):
      x = torch.arange(6).reshape((2, 3))
      x = x.cuda() if jtu.test_device_matches(["gpu"]) else x
      y = torch.utils.dlpack.to_dlpack(x[:, :2])
  
      backend = xla_bridge.get_backend()
      client = getattr(backend, "client", backend)
  
      regex_str = (
          r"UNIMPLEMENTED: Only DLPack tensors with trivial \(compact\) "
          r"striding are supported"
      )
      with self.assertRaisesRegex(RuntimeError, regex_str):
          xla_client._xla.dlpack_managed_tensor_to_buffer(
              y, client, client
          )
  
file_path: jax/tests/pytorch_interoperability_test.py
imports: import unittest
  from absl.testing import absltest
  import jax
  import jax.dlpack
  from jax._src import config
  from jax._src import test_util
  from jax._src import xla_bridge
  from jax._src.lib import xla_client
  import jax.numpy
label_desc: Use image node_id 2 for calling the DLPackTest obj's underlying member method code with example usage: obj.testTorchToJaxFailure() without return types