code: def float_tensor_feature(size: int) -> tfds.features.Tensor:
      return tfds.features.Tensor(
          shape=(size,),
          dtype=np.float32,
          encoding=tfds.features.Encoding.ZLIB,
      )
  
imports: from __future__ import annotations
  import os
  from typing import Any, Dict, Generator, List, Tuple
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 3 for calling a global function with example usage: float_tensor_feature(size) and returns: tfds