check_video_id.py 文件源码

def get_input_evaluation_tensors(reader,
                                 data_pattern,
                                 batch_size=256):
  logging.info("Using batch size of " + str(batch_size) + " for evaluation.")
  with tf.name_scope("eval_input"):
    files = gfile.Glob(data_pattern)
    if not files:
      print data_pattern, files
      raise IOError("Unable to find the evaluation files.")
    logging.info("number of evaluation files: " + str(len(files)))
    files.sort()
    filename_queue = tf.train.string_input_producer(
        files, shuffle=False, num_epochs=1)
    eval_data = reader.prepare_reader(filename_queue)
    return tf.train.batch(
        eval_data,
        batch_size=batch_size,
        capacity=3 * batch_size,
        allow_smaller_final_batch=True,
        enqueue_many=True)