Split tensor into training and test sets

Question

Let's say I've read in a textfile using a TextLineReader. Is there some way to split this into train and test sets in Tensorflow? Something like:

def read_my_file_format(filename_queue):
  reader = tf.TextLineReader()
  key, record_string = reader.read(filename_queue)
  raw_features, label = tf.decode_csv(record_string)
  features = some_processing(raw_features)
  features_train, labels_train, features_test, labels_test = tf.train_split(features,
                                                                            labels,
                                                                            frac=.1)
  return features_train, labels_train, features_test, labels_test

Answer 1

Something like the following should work: tf.split_v(tf.random_shuffle(...

Edit: For tensorflow>0.12 This should now be called as tf.split(tf.random.shuffle(...

Reference

See docs for tf.split and for tf.random.shuffle for examples.