Fix tpu spawn plugin test (#11131)

Author: kaushikb11

dockers/tpu-tests/tpu_test_cases.jsonnet

@@ -33,6 +33,7 @@ local tputests = base.BaseTest {
       echo $KUBE_GOOGLE_CLOUD_TPU_ENDPOINTS
       export XRT_TPU_CONFIG="tpu_worker;0;${KUBE_GOOGLE_CLOUD_TPU_ENDPOINTS:7}"
       coverage run --source=pytorch_lightning -m pytest -v --capture=no \
+          tests/plugins/test_tpu_spawn.py \
           tests/profiler/test_xla_profiler.py \
           pytorch_lightning/utilities/xla_device.py \
           tests/accelerators/test_tpu.py \

tests/plugins/test_tpu_spawn.py

@@ -85,20 +85,20 @@ def test_error_process_iterable_dataloader(_):
 
 class BoringModelTPU(BoringModel):
     def on_train_start(self) -> None:
-        assert self.device == torch.device("xla")
+        assert self.device == torch.device("xla", index=1)
         assert os.environ.get("PT_XLA_DEBUG") == "1"
 
 
 @RunIf(tpu=True)
 @pl_multi_process_test
 def test_model_tpu_one_core():
     """Tests if device/debug flag is set correctely when training and after teardown for TPUSpawnPlugin."""
-    trainer = Trainer(tpu_cores=1, fast_dev_run=True, plugin=TPUSpawnPlugin(debug=True))
+    trainer = Trainer(tpu_cores=1, fast_dev_run=True, strategy=TPUSpawnPlugin(debug=True))
     # assert training type plugin attributes for device setting
     assert isinstance(trainer.training_type_plugin, TPUSpawnPlugin)
     assert not trainer.training_type_plugin.on_gpu
     assert trainer.training_type_plugin.on_tpu
-    assert trainer.training_type_plugin.root_device == torch.device("xla")
+    assert trainer.training_type_plugin.root_device == torch.device("xla", index=1)
     model = BoringModelTPU()
     trainer.fit(model)
     assert "PT_XLA_DEBUG" not in os.environ