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/renderer/utils.py

@@ -1,9 +1,10 @@
 # Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
 
 
-import numpy as np
 import warnings
 from typing import Any, Union
+
+import numpy as np
 import torch
 
 
@@ -45,10 +46,7 @@ class TensorAccessor(object):
         # Convert the attribute to a tensor if it is not a tensor.
         if not torch.is_tensor(value):
             value = torch.tensor(
-                value,
-                device=v.device,
-                dtype=v.dtype,
-                requires_grad=v.requires_grad,
+                value, device=v.device, dtype=v.dtype, requires_grad=v.requires_grad
             )
 
         # Check the shapes match the existing shape and the shape of the index.
@@ -253,9 +251,7 @@ class TensorProperties(object):
         return self
 
 
-def format_tensor(
-    input, dtype=torch.float32, device: str = "cpu"
-) -> torch.Tensor:
+def format_tensor(input, dtype=torch.float32, device: str = "cpu") -> torch.Tensor:
     """
     Helper function for converting a scalar value to a tensor.
 
@@ -276,9 +272,7 @@ def format_tensor(
     return input
 
 
-def convert_to_tensors_and_broadcast(
-    *args, dtype=torch.float32, device: str = "cpu"
-):
+def convert_to_tensors_and_broadcast(*args, dtype=torch.float32, device: str = "cpu"):
     """
     Helper function to handle parsing an arbitrary number of inputs (*args)
     which all need to have the same batch dimension.