Replace using_pjrt() xla runtime device_type() check with in xla.…

…py for `torch-xla>=2.5` (#20442)

* Replace `using_pjrt()` xla runtime `device_type()` check with in xla.py

Fixes #20419

`torch_xla.runtime.using_pjrt()` is removed in pytorch/xla#7787

This PR replaces references to that function with a check to [`device_type()`](https://github.com/pytorch/xla/blob/master/torch_xla/runtime.py#L83) to recreate the behavior of that function, minus the manual initialization

* Added tests/refactored for version compat

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src/lightning/fabric/accelerators/xla.py

@@ -102,14 +102,21 @@ def register_accelerators(cls, accelerator_registry: _AcceleratorRegistry) -> No
 # PJRT support requires this minimum version
 _XLA_AVAILABLE = RequirementCache("torch_xla>=1.13", "torch_xla")
 _XLA_GREATER_EQUAL_2_1 = RequirementCache("torch_xla>=2.1")
+_XLA_GREATER_EQUAL_2_5 = RequirementCache("torch_xla>=2.5")
 
 
 def _using_pjrt() -> bool:
+    # `using_pjrt` is removed in torch_xla 2.5
+    if _XLA_GREATER_EQUAL_2_5:
+        from torch_xla import runtime as xr
+
+        return xr.device_type() is not None
     # delete me when torch_xla 2.2 is the min supported version, where XRT support has been dropped.
     if _XLA_GREATER_EQUAL_2_1:
         from torch_xla import runtime as xr
 
         return xr.using_pjrt()
+
     from torch_xla.experimental import pjrt
 
     return pjrt.using_pjrt()

tests/tests_fabric/accelerators/test_xla.py

@@ -44,3 +44,8 @@ def test_get_parallel_devices_raises(tpu_available):
         XLAAccelerator.get_parallel_devices(5)
     with pytest.raises(ValueError, match="Could not parse.*anything-else'"):
         XLAAccelerator.get_parallel_devices("anything-else")
+
+
+@pytest.mark.skipif(not _XLA_AVAILABLE, reason="test requires torch_xla to be present")
+def test_instantiate_xla_accelerator():
+    _ = XLAAccelerator()