Run DDP test_reapply_compile on gpu

Author: mieshkiwrk

tests/tests_pytorch/strategies/test_ddp_integration.py

@@ -451,12 +451,12 @@ def creates_processes_externally(self):
         trainer.fit(model)
 
 
-@RunIf(dynamo=True)
+@RunIf(min_cuda_gpus=2, standalone=True, dynamo=True)
 @mock.patch("lightning.fabric.wrappers.torch.compile", Mock(wraps=torch.compile))
 @mock.patch.dict(os.environ, {})
 def test_reapply_compile(tmp_path):
     """Test that Trainer can rewrap a compiled module such that compilation happens over the DDP-wrapper."""
-    trainer = Trainer(accelerator="cpu", devices=2, strategy="ddp", max_steps=2, logger=False)
+    trainer = Trainer(accelerator="gpu", devices=2, strategy="ddp", max_steps=2, logger=False)
 
     model = BoringModel()
     compile_kwargs = {"mode": "reduce-overhead"}
@@ -475,5 +475,5 @@ def test_reapply_compile(tmp_path):
 
     # Smoke-testing forward to ensure we don't get compilation errors
     for _ in range(3):
-        trainer_model(torch.randn(2, 32, device="cpu")).sum().backward()
+        trainer_model(torch.randn(2, 32, device="gpu")).sum().backward()
     assert True