code: def forward(self, x):
      x = self.emb(x)
      x = x.transpose(1, 2)
      x = self.pool(x).squeeze()
      x = self.fc1(x)
      x = F.relu(x)
      x = self.fc2(x)
      return x
  
imports: import argparse
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.optim
  from datasets import load_dataset
  from opacus import PrivacyEngine
  from torch.nn.utils.rnn import pad_sequence
  from torch.utils.data import DataLoader
  from tqdm import tqdm
  from transformers import BertTokenizerFast
label_desc: Use image node_id 2 for calling the SampleNet obj's underlying member method code with example usage: obj.forward(x) and returns: x