code: def __init__(self, backbone):
      super().__init__()
      self.save_hyperparameters()
      backbone = timm.create_model(backbone, num_classes=68 * 2)
      self.backbone = backbone
      self.loss = nn.L1Loss(reduction="mean")
      self.hard_mining = False
  
imports: from argparse import ArgumentParser
  import os
  import os.path
  import torch
  import torch.nn
  from torch.nn import functional
  from torch.utils.data import DataLoader
  import pytorch_lightning
  from pytorch_lightning.callbacks import ModelCheckpoint
  from pytorch_lightning.callbacks import LearningRateMonitor
  from pytorch_lightning.loggers import TensorBoardLogger
  import timm
  from datasets.dataset_synthetics import FaceDataset, DataLoaderX
label_desc: Use image node_id 1 to create a new FaceSynthetics object from inherited base classes: pl with example: obj = FaceSynthetics(backbone)