如何在TensorFlow 1.13中检查TFRecord文件的结构？

import tensorflow as tf

dataset = tf.data.TFRecordDataset('path/to/tfrecord/file.tfrecord')

def parse_fn(example_proto):
    # 定义解析规则，根据实际情况进行修改
    feature_description = {
        'feature1': tf.io.FixedLenFeature([], tf.int64),
        'feature2': tf.io.FixedLenFeature([], tf.string),
        'feature3': tf.io.FixedLenFeature([], tf.float32),
    }
    # 解析样本
    parsed_example = tf.io.parse_single_example(example_proto, feature_description)
    return parsed_example

dataset = dataset.map(parse_fn)

iterator = dataset.make_one_shot_iterator()
sample = iterator.get_next()

with tf.Session() as sess:
    while True:
        try:
            print(sess.run(sample))
        except tf.errors.OutOfRangeError:
            break