class_docstr: A CIFAR-100 data provider.
docstr: Returns a `Head` instance for CIFAR-100 with the given name.
docstr_tok: ["Returns","a","`","Head","`","instance","for","CIFAR-100","with","the","given","name","."]
code: def get_head(self, name=None):
      """Returns a `Head` instance for CIFAR-100 with the given name."""
      return tf.contrib.estimator.multi_class_head(
          100,
          name=name,
          loss_reduction=tf.losses.Reduction.SUM_OVER_BATCH_SIZE,
      )
  
file_path: adanet/research/improve_nas/trainer/cifar100.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import functools
  import numpy
  import tensorflow.compat.v1
  from tensorflow.keras.datasets import cifar100
label_desc: Use image node_id 6 for calling the Provider obj's underlying member method code with example usage: obj.get_head(name) and returns: tf