diff --git a/pytorch3d/datasets/r2n2/r2n2.py b/pytorch3d/datasets/r2n2/r2n2.py
index e94d85a8..6f93ad76 100644
--- a/pytorch3d/datasets/r2n2/r2n2.py
+++ b/pytorch3d/datasets/r2n2/r2n2.py
@@ -377,7 +377,7 @@ class R2N2(ShapeNetBase):  # pragma: no cover
         view_idxs: Optional[List[int]] = None,
         shader_type=HardPhongShader,
         device: Device = "cpu",
-        **kwargs
+        **kwargs,
     ) -> torch.Tensor:
         """
         Render models with BlenderCamera by default to achieve the same orientations as the
diff --git a/pytorch3d/datasets/shapenet_base.py b/pytorch3d/datasets/shapenet_base.py
index f1d21208..eca26e90 100644
--- a/pytorch3d/datasets/shapenet_base.py
+++ b/pytorch3d/datasets/shapenet_base.py
@@ -113,7 +113,7 @@ class ShapeNetBase(torch.utils.data.Dataset):  # pragma: no cover
         idxs: Optional[List[int]] = None,
         shader_type=HardPhongShader,
         device: Device = "cpu",
-        **kwargs
+        **kwargs,
     ) -> torch.Tensor:
         """
         If a list of model_ids are supplied, render all the objects by the given model_ids.
diff --git a/pytorch3d/implicitron/models/feature_extractor/feature_extractor.py b/pytorch3d/implicitron/models/feature_extractor/feature_extractor.py
index 2d8206c4..32d3d483 100644
--- a/pytorch3d/implicitron/models/feature_extractor/feature_extractor.py
+++ b/pytorch3d/implicitron/models/feature_extractor/feature_extractor.py
@@ -30,7 +30,7 @@ class FeatureExtractorBase(ReplaceableBase, torch.nn.Module):
         self,
         imgs: Optional[torch.Tensor],
         masks: Optional[torch.Tensor] = None,
-        **kwargs
+        **kwargs,
     ) -> Dict[Any, torch.Tensor]:
         """
         Args:
diff --git a/pytorch3d/implicitron/models/renderer/multipass_ea.py b/pytorch3d/implicitron/models/renderer/multipass_ea.py
index eddd736e..8fa59b5f 100644
--- a/pytorch3d/implicitron/models/renderer/multipass_ea.py
+++ b/pytorch3d/implicitron/models/renderer/multipass_ea.py
@@ -109,7 +109,7 @@ class MultiPassEmissionAbsorptionRenderer(  # pyre-ignore: 13
         ray_bundle: RayBundle,
         implicit_functions: List[ImplicitFunctionWrapper] = [],
         evaluation_mode: EvaluationMode = EvaluationMode.EVALUATION,
-        **kwargs
+        **kwargs,
     ) -> RendererOutput:
         """
         Args:
diff --git a/pytorch3d/implicitron/tools/point_cloud_utils.py b/pytorch3d/implicitron/tools/point_cloud_utils.py
index c1b68374..9af23e30 100644
--- a/pytorch3d/implicitron/tools/point_cloud_utils.py
+++ b/pytorch3d/implicitron/tools/point_cloud_utils.py
@@ -75,7 +75,7 @@ def render_point_cloud_pytorch3d(
     eps: float = 1e-2,
     bg_color=None,
     bin_size: Optional[int] = None,
-    **kwargs
+    **kwargs,
 ):
 
     # feature dimension
diff --git a/pytorch3d/renderer/implicit/renderer.py b/pytorch3d/renderer/implicit/renderer.py
index 92d5aed6..49d30b54 100644
--- a/pytorch3d/renderer/implicit/renderer.py
+++ b/pytorch3d/renderer/implicit/renderer.py
@@ -176,7 +176,7 @@ class ImplicitRenderer(torch.nn.Module):
             rays_densities=rays_densities,
             rays_features=rays_features,
             ray_bundle=ray_bundle,
-            **kwargs
+            **kwargs,
         )
         # images - minibatch x ... x (feature_dim + opacity_dim)