docstr: Returns a training batches data_loader
docstr_tok: ["Returns","a","training","batches","data_loader"]
code: def get_train_batches(self):
      """Returns a training batches data_loader"""
  
      data_loader = DataLoader(
          self.training_dataset,
          batch_size=self.training_batch_size,
          shuffle=True,
          drop_last=True,
      )
      for sample_batched in data_loader:
          yield sample_batched
  
file_path: PARL/benchmark/torch/maml++/data.py
imports: import numpy
  from torch.utils.data import Dataset, DataLoader
  import torch
  import random
  import numpy
label_desc: Use image node_id 2 for calling the MetaLearningDataLoader obj's underlying member method code with example usage: obj.get_train_batches() without return types