fix linter

Summary: run ./dev/linter.sh

Reviewed By: zhanghang1989

Differential Revision: D30599861

fbshipit-source-id: 8957443bb1ca9e143ca11a2e2675b8513ed63d16

Author: ppwwyyxx

projects/DensePose/densepose/data/inference_based_loader.py

@@ -155,9 +155,7 @@ def _produce_data(
                     [instance_class] * len(model_output_i["instances"])
                 )
             model_output_filtered = (
-                model_output
-                if self.data_filter is None
-                else self.data_filter(model_output)
+                model_output if self.data_filter is None else self.data_filter(model_output)
             )
             data = (
                 model_output_filtered

projects/DensePose/densepose/modeling/losses/mask.py

@@ -106,9 +106,7 @@ def __call__(
             )
         if (mask_loss_data.masks_gt is None) or (mask_loss_data.masks_est is None):
             return self.fake_value(densepose_predictor_outputs)
-        return F.cross_entropy(
-            mask_loss_data.masks_est, mask_loss_data.masks_gt.long()
-        )
+        return F.cross_entropy(mask_loss_data.masks_est, mask_loss_data.masks_gt.long())
 
     def fake_value(self, densepose_predictor_outputs: Any) -> torch.Tensor:
         """