class_docstr: Lightning module which trains a deep set model until convergence.
class_docstr_tok: ["Lightning","module","which","trains","a","deep","set","model","until","convergence","."]
code: def predict_step(
      self, batch: Tuple[torch.Tensor, torch.Tensor], _batch_idx: int
  ) -> torch.Tensor:
      X, X_lengths = batch
      return self.model(X, X_lengths)
  
file_path: gluonts/src/gluonts/nursery/tsbench/src/tsbench/surrogate/torch/deepset_lightning_module.py
imports: from typing import List, Tuple
  import pytorch_lightning
  import torch
  from pytorch_lightning.callbacks import Callback, EarlyStopping
  from torch import nn, optim
  from .losses import ListMLELoss
label_desc: Use image node_id 5 for calling the DeepSetLightningModule obj's underlying member method code with example usage: obj.predict_step(batch, _batch_idx) and returns: self