code: def forward(self, x):
      for lin in self.lins[:-1]:
          x = lin(x)
          x = F.relu(x)
          x = F.dropout(x, p=self.dropout, training=self.training)
      x = self.lins[-1](x)
      return x
  
file_path: ogb/examples/nodeproppred/proteins/mlp.py
imports: import argparse
  import torch
  import torch.nn.functional
  from torch_geometric.utils import scatter
  from ogb.nodeproppred import PygNodePropPredDataset, Evaluator
  from logger import Logger
label_desc: Use image node_id 3 for calling the MLP obj's underlying member method code with example usage: obj.forward(x) and returns: x