class_docstr: Wrapper class that acts as the input_fn to TPUEstimator.
class_docstr_tok: ["Wrapper","class","that","acts","as","the","input_fn","to","TPUEstimator","."]
code: def __init__(self):
      self._num_examples = 10000  # 10k
      self._images = numpy.random.uniform(
          0, 1.0, [self._num_examples, FLAGS.io_size]
      ).astype(numpy.float32)
      self._labels = self._images
      logging.info("init ToyModelInput()")
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import mesh_tensorflow
  import numpy
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
  from tensorflow.python.data.ops.dataset_ops import Dataset
  from tensorflow.python.platform import flags
  from tensorflow.python.platform import tf_logging
  from tensorflow_estimator.python.estimator import estimator
  from tensorflow_estimator.python.estimator.tpu import tpu_config
  from tensorflow_estimator.python.estimator.tpu import tpu_estimator
label_desc: Use image node_id 1 to create a new ToyModelInput object from inherited base classes: object with example: obj = ToyModelInput()