code: def __getitem__(self, idx):
      image = np.random.random((10, 5)).astype("float32")
      return {
          "image": paddle.to_tensor(image),
          "label": [[0, 1], [1, 2, 3, 4]],
      }
  
file_path: fastNLP/tests/core/dataloaders/paddle_dataloader/test_fdl.py
imports: import pytest
  import numpy
  from fastNLP.core.dataloaders.paddle_dataloader.fdl import PaddleDataLoader, prepare_paddle_dataloader
  from fastNLP.core.dataset import DataSet
  from fastNLP.io.data_bundle import DataBundle
  from fastNLP.core.log import logger
  from fastNLP.core.collators import Collator
  from fastNLP.envs.imports import _NEED_IMPORT_PADDLE
label_desc: Use image node_id 1 for calling the RandomDataset obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: dict