apply new formatting config

Summary:
pyfmt now specifies a target Python version of 3.8 when formatting
with black. With this new config, black adds trailing commas to all
multiline function calls. This applies the new formatting as part
of rolling out the linttool-integration for pyfmt.

paintitblack

Reviewed By: zertosh, lisroach

Differential Revision: D37084377

fbshipit-source-id: 781a1b883a381a172e54d6e447137657977876b4

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

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.

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:

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:

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

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)