code: def test_torch_meta_device_incompatible_ops(self):
      class Container:
          def __init__(self):
              self.canary = False
  
          def example_meta_fn(self, x):
              y = backend.numpy.ones(x.shape)
              if str(y.device) == "meta":
                  self.canary = True
                  raise ValueError("Erroring out on meta device")
              x = (x + 2) * y
              x = backend.numpy.stack([x, x], axis=-1)
              return x
  
      instance = Container()
      out = backend.compute_output_spec(
          instance.example_meta_fn, backend.KerasTensor((2, 3))
      )
      self.assertIsInstance(out, backend.KerasTensor)
      self.assertTrue(instance.canary)
      self.assertEqual(out.shape, (2, 3, 2))
  
      instance = Container()
      out = backend.compute_output_spec(
          instance.example_meta_fn, backend.KerasTensor((2, None))
      )
      self.assertIsInstance(out, backend.KerasTensor)
      self.assertTrue(instance.canary)
      self.assertEqual(out.shape, (2, None, 2))
  
file_path: keras/keras/backend/common/compute_output_spec_test.py
imports: import pytest
  from keras import backend
  from keras import testing
label_desc: Use image node_id 2 for calling the ComputeOutputSpecTest obj's underlying member method code with example usage: obj.test_torch_meta_device_incompatible_ops() and returns: x