code: def dataset():
      return (
          tfds.load("tf_flowers", split="train", try_gcs=True)
          .map(preprocess, num_parallel_calls=2)
          .take(100)
          .cache()
          .shuffle(100)
          .batch(10)
          .prefetch(1)
      )
  
imports: import functools
  import os
  import sys
  import tempfile
  import larq
  import numpy
  import pytest
  import tensorflow
  import tensorflow_datasets
  from larq_compute_engine.mlir.python.converter import convert_keras_model, convert_saved_model
  from larq_compute_engine.tflite.python.interpreter import Interpreter
  from preprocess import preprocess_image_tensor, IMAGE_SIZE
label_desc: Use image node_id 8 for calling a global function with example usage: dataset() and returns: tfds