class_docstr: A single linear layer which does a 1x1 conv.
class_docstr_tok: ["A","single","linear","layer","which","does","a","1x1","conv","."]
docstr: Process input.
code: def forward(self, x: Tensor) -> Tensor:
      """Process input."""
      return self.model(x)
  
imports: import inspect
  import os
  from typing import List, NamedTuple, Optional, Tuple, Union
  import torch
  from torch import Tensor, nn
  from typing_extensions import Literal
  from torchmetrics.utilities.imports import _TORCHVISION_AVAILABLE, _TORCHVISION_GREATER_EQUAL_0_13
label_desc: Use image node_id 2 for calling the NetLinLayer obj's underlying member method code with example usage: obj.forward(x) and returns: self