Update

Author: oke-aditya

torchvision/datasets/food101.py

@@ -51,7 +51,7 @@ def __init__(
 
         self._labels = []
         self._image_files = []
-        with open(self._meta_folder / f"{split}.json", "r") as f:
+        with open(self._meta_folder / f"{split}.json") as f:
             metadata = json.loads(f.read())
 
         self.classes = sorted(metadata.keys())

torchvision/models/optical_flow/raft.py

@@ -74,7 +74,7 @@ class BottleneckBlock(nn.Module):
     """Slightly modified BottleNeck block (extra relu and biases)"""
 
     def __init__(self, in_channels, out_channels, *, norm_layer, stride=1):
-        super(BottleneckBlock, self).__init__()
+        super().__init__()
 
         # See note in ResidualBlock for the reason behind bias=True
         self.convnormrelu1 = ConvNormActivation(