Fix lint issues.

torch_xla/utils/checkpoint.py

@@ -8,37 +8,39 @@
 from typing import Iterable, List, Tuple, Union
 
 
-def get_device_states(*args) -> Tuple[List[torch.device], List[Union[torch.Tensor, int]]]:
-  fwd_device = list(
-    {
+def get_device_states(
+    *args) -> Tuple[List[torch.device], List[Union[torch.Tensor, int]]]:
+  fwd_device = list({
       arg.device
       for arg in args
       if isinstance(arg, torch.Tensor) and not arg.device.type == "cpu"
-    }
-  )
+  })
 
   fwd_device_states = []
 
   device_type = _infer_device_type(*args)
   assert device_type is not None, "multiple non-CPU devices not supported"
 
-  device_module = xm if device_type == "xla" else _get_device_module(device_type)
+  device_module = xm if device_type == "xla" else _get_device_module(
+      device_type)
 
   for device in fwd_device:
     fwd_device_states.append(device_module.get_rng_state(device))
 
   return fwd_device, fwd_device_states
 
 
-def set_device_states(devices: List[torch.device], states: List[Union[torch.Tensor, int]]) -> None:
+def set_device_states(devices: List[torch.device],
+                      states: List[Union[torch.Tensor, int]]) -> None:
   if len(states) == 0:
     return
 
   # get_device_states guarantees that there's only one device-type.
   # Therefore, their states should also be of either Tensor (cuda) or int (xla) type.
 
   state_0_type = type(states[0])
-  assert all(isinstance(v, state_0_type) for v in states), f"all device states should have the same type"
+  assert all(isinstance(v, state_0_type)
+             for v in states), f"all device states should have the same type"
 
   device_module = xm if state_0_type == int else get_device_module(*states)
   for device, state in zip(devices, states):