code: def forward(self, x: Tensor) -> Tensor:
      for i, layer in enumerate(self.layers):
          x = F.relu(layer(x)) if i < self.num_layers - 1 else layer(x)
      if self.sigmoid_output:
          x = F.sigmoid(x)
      return x
  
imports: from __future__ import annotations
  import torch
  import torch.nn.functional
  from torch import nn
  from kornia.core import Module, Tensor, pad
label_desc: Use image node_id 2 for calling the MLP obj's underlying member method code with example usage: obj.forward(x) and returns: x