def write_to_record(id_batch, label_batch, predictions, filenum, num_examples_processed):
writer = tf.python_io.TFRecordWriter(FLAGS.output_dir + '/' + 'predictions-%03d.tfrecord' % filenum)
for i in range(num_examples_processed):
video_id = id_batch[i]
label = np.nonzero(label_batch[i,:])[0]
example = get_output_feature(video_id, label, [predictions[i,:]], ['predictions'])
serialized = example.SerializeToString()
writer.write(serialized)
writer.close()
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