diff --git a/pytorch_lightning/accelerators/accelerator_connector.py b/pytorch_lightning/accelerators/accelerator_connector.py
index b21d54569e73d..b6c60bb1a7eee 100644
--- a/pytorch_lightning/accelerators/accelerator_connector.py
+++ b/pytorch_lightning/accelerators/accelerator_connector.py
@@ -90,7 +90,7 @@ def __init__(
         self.replace_sampler_ddp = replace_sampler_ddp
         self.deterministic = deterministic
         self.precision = precision
-        self.amp_type =  amp_type.lower() if isinstance(amp_type, str) else None
+        self.amp_type = amp_type.lower() if isinstance(amp_type, str) else None
         self.amp_level = amp_level
         self.cluster_environment = cluster_environment
         self.is_slurm_managing_tasks = False
diff --git a/pytorch_lightning/plugins/training_type/tpu_spawn.py b/pytorch_lightning/plugins/training_type/tpu_spawn.py
index 91c4867d949b1..0f516e2b0b046 100644
--- a/pytorch_lightning/plugins/training_type/tpu_spawn.py
+++ b/pytorch_lightning/plugins/training_type/tpu_spawn.py
@@ -182,18 +182,12 @@ def __load_weights_on_main_process(self) -> None:
     def xmp_spawn_kwargs(self):
         return {
             "args": (self.lightning_module, trainer, self.mp_queue),
-             "nproc": len(self.parallel_devices),
-             "start_method": self.start_method
-          }
+            "nproc": len(self.parallel_devices),
+            "start_method": self.start_method
+        }
 
     def start_training(self, trainer) -> None:
-        xmp.spawn(
-            self.new_process,
-            **self.xmp_spawn_kwargs
-        )
+        xmp.spawn(self.new_process, **self.xmp_spawn_kwargs)
 
     def start_testing(self, trainer) -> None:
-        xmp.spawn(
-            self.new_process,
-            **self.xmp_spawn_kwargs
-        )
+        xmp.spawn(self.new_process, **self.xmp_spawn_kwargs)