code: def binary_accuracy(preds, y):
      correct = (y.long() == torch.argmax(preds, dim=1)).float()
      acc = correct.sum() / len(correct)
      return acc
  
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 1 for calling a global function with example usage: binary_accuracy(preds, y) and returns: acc