class_docstr: Hierarchical Attention Network (RNN baseline model)
code: def train_epoch_start(self, *args):
      """"""
      self.last_global_step = self.global_step
      seed_everything(self.hparams.seed + self.trainer.current_epoch)
  
imports: from turtle import hideturtle
  import pytorch_lightning
  import torch
  import torch.nn.functional
  import torch.nn
  from pytorch_lightning import seed_everything
  from pathlib import Path
  from src.transformer.transformer_utils import *
  from src.transformer.metrics import CorrectedBAcc, CorrectedF1, CorrectedMCC, AUL
  import torchmetrics
label_desc: Use image node_id 7 for calling the FFN obj's underlying member method code with example usage: obj.train_epoch_start() without return types