class_docstr: Just a batchnorm.
class_docstr_tok: ["Just","a","batchnorm","."]
docstr: Forward function.
docstr_tok: ["Forward","function","."]
code: def forward(self, inputs):
      """Forward function."""
      output = self._forward_feature(inputs)
      output = self.cls_seg(output)
      return output
  
file_path: dinov2/dinov2/eval/segmentation/models/decode_heads/linear_head.py
imports: import torch
  import torch.nn
  from mmseg.models.builder import HEADS
  from mmseg.models.decode_heads.decode_head import BaseDecodeHead
  from mmseg.ops import resize
label_desc: Use image node_id 4 for calling the BNHead obj's underlying member method code with example usage: obj.forward(inputs) and returns: output