code: def forward(
      self,
      net: Tensor,
      *,
      mask: Optional[Tensor] = None,
      out_queries: Optional[Tensor] = None,
      **kwargs: Any,
  ) -> Tensor:
      net = super().forward(net, mask=mask, out_queries=out_queries)
      return net.squeeze(1)
  
file_path: carefree-learn/cflearn/models/cv/encoder/perceiver.py
imports: from torch import Tensor
  from typing import Any
  from typing import Dict
  from typing import Optional
  from .schema import Encoder1DFromPatches
  from ....modules.blocks import PerceiverIO
label_desc: Use image node_id 1 for calling the PerceiverIOForEncoder1D obj's underlying member method code with example usage: obj.forward(net) and returns: net