code: def forward(self, net: Tensor) -> Tensor:
      return self.encoder(net)
  
imports: import torch.nn
  from torch import Tensor
  from typing import Any
  from typing import Dict
  from typing import Optional
  from cftool.array import squeeze
  from .schema import EncoderMixin
  from .schema import Encoder1DMixin
  from ....modules.blocks import get_conv_blocks
  from ....modules.blocks import Linear
  from ....modules.blocks import ResidualBlock
label_desc: Use image node_id 2 for calling the VanillaEncoder obj's underlying member method code with example usage: obj.forward(net) and returns: self