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)
      if self.sigmoid_output:
          x = F.sigmoid(x)
      return x
  
file_path: segment-anything/segment_anything/modeling/mask_decoder.py
imports: import torch
  from torch import nn
  from torch.nn import functional
  from typing import List, Tuple, Type
  from .common import LayerNorm2d
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