apply Black 25.11.0 style in fbcode/deeplearning/projects (21/92)

Summary:
Formats the covered files with pyfmt.

paintitblack

Reviewed By: itamaro

Differential Revision: D90476315

fbshipit-source-id: ee94c471788b8e7d067813d8b3e0311214d17f3f

sam3/sam/transformer.py

@@ -8,7 +8,6 @@ from typing import Tuple, Type
 
 import torch
 import torch.nn.functional as F
-
 from sam3.sam.rope import apply_rotary_enc, apply_rotary_enc_real, compute_axial_cis
 from torch import nn, Tensor
 
@@ -205,9 +204,9 @@ class Attention(nn.Module):
         self.internal_dim = embedding_dim // downsample_rate
         self.num_heads = num_heads
         self.use_fa3 = use_fa3
-        assert (
-            self.internal_dim % num_heads == 0
-        ), "num_heads must divide embedding_dim."
+        assert self.internal_dim % num_heads == 0, (
+            "num_heads must divide embedding_dim."
+        )
 
         self.q_proj = nn.Linear(embedding_dim, self.internal_dim)
         self.k_proj = nn.Linear(self.kv_in_dim, self.internal_dim)