diff --git a/tests/profiler/test_profiler.py b/tests/profiler/test_profiler.py
index e047e55fb2..150ad2d79c 100644
--- a/tests/profiler/test_profiler.py
+++ b/tests/profiler/test_profiler.py
@@ -168,7 +168,13 @@ def test_simple_profiler_distributed_files(tmpdir):
     profiler = SimpleProfiler(dirpath=tmpdir, filename="profiler")
     model = BoringModel()
     trainer = Trainer(
-        default_root_dir=tmpdir, fast_dev_run=2, strategy="ddp_spawn", num_processes=2, profiler=profiler, logger=False
+        default_root_dir=tmpdir,
+        fast_dev_run=2,
+        strategy="ddp_spawn",
+        accelerator="cpu",
+        devices=2,
+        profiler=profiler,
+        logger=False,
     )
     trainer.fit(model)
     trainer.validate(model)
@@ -307,7 +313,8 @@ def test_pytorch_profiler_trainer_ddp(tmpdir, pytorch_profiler):
         limit_val_batches=5,
         profiler=pytorch_profiler,
         strategy="ddp",
-        gpus=2,
+        accelerator="gpu",
+        devices=2,
     )
     trainer.fit(model)
     expected = {"[Strategy]DDPStrategy.validation_step"}
@@ -429,7 +436,7 @@ def test_pytorch_profiler_nested_emit_nvtx(tmpdir):
     profiler = PyTorchProfiler(use_cuda=True, emit_nvtx=True)
 
     model = BoringModel()
-    trainer = Trainer(fast_dev_run=True, profiler=profiler, gpus=1)
+    trainer = Trainer(fast_dev_run=True, profiler=profiler, accelerator="gpu", devices=1)
     trainer.fit(model)
 
 
diff --git a/tests/profiler/test_xla_profiler.py b/tests/profiler/test_xla_profiler.py
index 7f460ea11d..9a0efbd6a7 100644
--- a/tests/profiler/test_xla_profiler.py
+++ b/tests/profiler/test_xla_profiler.py
@@ -33,7 +33,7 @@ if _TPU_AVAILABLE:
 def test_xla_profiler_instance(tmpdir):
 
     model = BoringModel()
-    trainer = Trainer(default_root_dir=tmpdir, fast_dev_run=True, profiler="xla", tpu_cores=8)
+    trainer = Trainer(default_root_dir=tmpdir, fast_dev_run=True, profiler="xla", accelerator="tpu", devices=8)
 
     assert isinstance(trainer.profiler, XLAProfiler)
     trainer.fit(model)
@@ -48,7 +48,7 @@ def test_xla_profiler_prog_capture(tmpdir):
 
     def train_worker():
         model = BoringModel()
-        trainer = Trainer(default_root_dir=tmpdir, max_epochs=4, profiler="xla", tpu_cores=8)
+        trainer = Trainer(default_root_dir=tmpdir, max_epochs=4, profiler="xla", accelerator="tpu", devices=8)
 
         trainer.fit(model)