formatting changes from black 22.3.0

Summary:
Applies the black-fbsource codemod with the new build of pyfmt.

paintitblack

Reviewed By: lisroach

Differential Revision: D36324783

fbshipit-source-id: 280c09e88257e5e569ab729691165d8dedd767bc

pytorch3d/ops/cameras_alignment.py

@@ -217,7 +217,7 @@ def _align_camera_extrinsics(
         # of centered A and centered B
         Ac = A - Amu
         Bc = B - Bmu
-        align_t_s = (Ac * Bc).mean() / (Ac ** 2).mean().clamp(eps)
+        align_t_s = (Ac * Bc).mean() / (Ac**2).mean().clamp(eps)
     else:
         # set the scale to identity
         align_t_s = 1.0

pytorch3d/ops/marching_cubes.py

@@ -240,7 +240,7 @@ def _get_edge_indices(edges: int) -> List[int]:
 
     edge_indices = []
     for i in range(12):
-        if edges & (2 ** i):
+        if edges & (2**i):
             edge_indices.append(i)
     return edge_indices
 

pytorch3d/ops/perspective_n_points.py

@@ -206,7 +206,7 @@ def _kernel_vec_distances(v):
     # this should produce B x 6 x (D choose 2) tensor
 
     # we should take dot-product of all (i,i)
-    rows_ii = (dv ** 2).sum(dim=-2)
+    rows_ii = (dv**2).sum(dim=-2)
     # this should produce B x 6 x D tensor
 
     return torch.cat((rows_ii, rows_2ij), dim=-1)

pytorch3d/ops/sample_farthest_points.py

@@ -151,7 +151,7 @@ def sample_farthest_points_naive(
             # and all the other points. If a point has already been selected
             # it's distance will be 0.0 so it will not be selected again as the max.
             dist = points[n, selected_idx, :] - points[n, : lengths[n], :]
-            dist_to_last_selected = (dist ** 2).sum(-1)  # (P - i)
+            dist_to_last_selected = (dist**2).sum(-1)  # (P - i)
 
             # If closer than currently saved distance to one of the selected
             # points, then updated closest_dists