class_docstr: This encoder takes a UTF-8 string and encodes its bytes into a Tensor. It can also
  perform the opposite operation to check a result.
  
  Examples:
  
  >>> encoder = CharByteEncoder()
  >>> t = encoder('Ślusàrski')  # returns tensor([256, 197, 154, 108, 117, 115, 195, 160, 114, 115, 107, 105, 257])
  >>> encoder.decode(t)  # returns "<s>Ślusàrski</s>"
code: def __init__(self):
      super().__init__()
      self.start_token = "<s>"
      self.end_token = "</s>"
      self.pad_token = "<pad>"
  
      self.start_idx = 256
      self.end_idx = 257
      self.pad_idx = 258
  
imports: import argparse
  from collections import Counter
  from pathlib import Path
  from statistics import mean
  import torch
  import torch.nn
  from opacus import PrivacyEngine
  from opacus.layers import DPGRU, DPLSTM, DPRNN
  from torch.nn.utils.rnn import pad_sequence
  from torch.utils.data import DataLoader, Dataset
  from tqdm import tqdm
label_desc: Use image node_id 1 to create a new CharByteEncoder object from inherited base classes: nn with example: obj = CharByteEncoder()