class_docstr: Very simple multi-layer perceptron (also called FFN)
class_docstr_tok: ["Very","simple","multi-layer","perceptron","(","also","called","FFN",")"]
code: def forward(self, x):
      for i, layer in enumerate(self.layers):
          x = F.relu(layer(x)) if i < self.num_layers - 1 else layer(x)
      return x
  
imports: import copy
  import math
  from typing import Optional
  import torch
  import torch.nn.functional
  from torch import Tensor, nn
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