将TFRECORD文件转换为文本数据

import tensorflow as tf

tfrecord_file = 'path/to/tfrecord_file.tfrecord'

def parse_tfrecord_fn(example):
    feature_description = {
        'feature1': tf.io.FixedLenFeature([], tf.int64),
        'feature2': tf.io.FixedLenFeature([], tf.float32),
        'feature3': tf.io.FixedLenFeature([], tf.string),
    }
    example = tf.io.parse_single_example(example, feature_description)
    return example['feature1'], example['feature2'], example['feature3']

dataset = tf.data.TFRecordDataset(tfrecord_file)
dataset = dataset.map(parse_tfrecord_fn)

for data in dataset:
    feature1, feature2, feature3 = data
    print('Feature 1:', feature1)
    print('Feature 2:', feature2)
    print('Feature 3:', feature3)