Address black + isort fbsource linter warnings

Summary: Address black + isort fbsource linter warnings from D20558374 (previous diff)

Reviewed By: nikhilaravi

Differential Revision: D20558373

fbshipit-source-id: d3607de4a01fb24c0d5269634563a7914bddf1c8

pytorch3d/transforms/rotation_conversions.py

@@ -2,6 +2,7 @@
 
 import functools
 from typing import Optional
+
 import torch
 
 
@@ -155,9 +156,7 @@ def euler_angles_to_matrix(euler_angles, convention: str):
     for letter in convention:
         if letter not in ("X", "Y", "Z"):
             raise ValueError(f"Invalid letter {letter} in convention string.")
-    matrices = map(
-        _axis_angle_rotation, convention, torch.unbind(euler_angles, -1)
-    )
+    matrices = map(_axis_angle_rotation, convention, torch.unbind(euler_angles, -1))
     return functools.reduce(torch.matmul, matrices)
 
 
@@ -246,10 +245,7 @@ def matrix_to_euler_angles(matrix, convention: str):
 
 
 def random_quaternions(
-    n: int,
-    dtype: Optional[torch.dtype] = None,
-    device=None,
-    requires_grad=False,
+    n: int, dtype: Optional[torch.dtype] = None, device=None, requires_grad=False
 ):
     """
     Generate random quaternions representing rotations,
@@ -266,19 +262,14 @@ def random_quaternions(
     Returns:
         Quaternions as tensor of shape (N, 4).
     """
-    o = torch.randn(
-        (n, 4), dtype=dtype, device=device, requires_grad=requires_grad
-    )
+    o = torch.randn((n, 4), dtype=dtype, device=device, requires_grad=requires_grad)
     s = (o * o).sum(1)
     o = o / _copysign(torch.sqrt(s), o[:, 0])[:, None]
     return o
 
 
 def random_rotations(
-    n: int,
-    dtype: Optional[torch.dtype] = None,
-    device=None,
-    requires_grad=False,
+    n: int, dtype: Optional[torch.dtype] = None, device=None, requires_grad=False
 ):
     """
     Generate random rotations as 3x3 rotation matrices.