code: def subnet_fc(dims_in: int, dims_out: int) -> nn.Sequential:
      """Subnetwork which predicts the affine coefficients.
  
      Args:
          dims_in (int): input dimensions
          dims_out (int): output dimensions
  
      Returns:
          nn.Sequential: Feed-forward subnetwork
      """
      return nn.Sequential(
          nn.Linear(dims_in, 2 * dims_in),
          nn.ReLU(),
          nn.Linear(2 * dims_in, dims_out),
      )
  
file_path: anomalib/src/anomalib/models/cflow/utils.py
imports: from __future__ import annotations
  import logging
  import math
  import numpy
  import torch
  from FrEIA.framework import SequenceINN
  from torch import Tensor, nn
  from anomalib.models.components.flow import AllInOneBlock
label_desc: Use image node_id 3 for calling a global function with example usage: subnet_fc(dims_in, dims_out) and returns: nn