Fix linter

Author: datumbox

torchvision/models/detection/faster_rcnn.py

@@ -570,7 +570,9 @@ def fasterrcnn_resnet50_fpn_v2(
     backbone = _resnet_fpn_extractor(backbone, trainable_backbone_layers, norm_layer=nn.BatchNorm2d)
     rpn_anchor_generator = _default_anchorgen()
     rpn_head = RPNHead(backbone.out_channels, rpn_anchor_generator.num_anchors_per_location()[0], conv_depth=2)
-    box_head = FastRCNNConvFCHead((backbone.out_channels, 7, 7), [256, 256, 256, 256], [1024], norm_layer=nn.BatchNorm2d)
+    box_head = FastRCNNConvFCHead(
+        (backbone.out_channels, 7, 7), [256, 256, 256, 256], [1024], norm_layer=nn.BatchNorm2d
+    )
     model = FasterRCNN(
         backbone,
         num_classes=num_classes,

torchvision/models/detection/mask_rcnn.py

@@ -508,7 +508,9 @@ def maskrcnn_resnet50_fpn_v2(
     backbone = _resnet_fpn_extractor(backbone, trainable_backbone_layers, norm_layer=nn.BatchNorm2d)
     rpn_anchor_generator = _default_anchorgen()
     rpn_head = RPNHead(backbone.out_channels, rpn_anchor_generator.num_anchors_per_location()[0], conv_depth=2)
-    box_head = FastRCNNConvFCHead((backbone.out_channels, 7, 7), [256, 256, 256, 256], [1024], norm_layer=nn.BatchNorm2d)
+    box_head = FastRCNNConvFCHead(
+        (backbone.out_channels, 7, 7), [256, 256, 256, 256], [1024], norm_layer=nn.BatchNorm2d
+    )
     mask_head = MaskRCNNHeads(backbone.out_channels, [256, 256, 256, 256], 1, norm_layer=nn.BatchNorm2d)
     model = MaskRCNN(
         backbone,