将.tfrecords文件拆分为多个.tfrecords文件

您可以使用如下函数：

import tensorflow as tfdef split_tfrecord(tfrecord_path, split_size):    with tf.Graph().as_default(), tf.Session() as sess:        ds = tf.data.TFRecordDataset(tfrecord_path).batch(split_size)        batch = ds.make_one_shot_iterator().get_next()        part_num = 0        while True: try:     records = sess.run(batch)     part_path = tfrecord_path + '.{:03d}'.format(part_num)     with tf.python_io.TFRecordWriter(part_path) as writer:         for record in records:  writer.write(record)     part_num += 1 except tf.errors.OutOfRangeError: break

例如，要将文件

my_records.tfrecord

split_tfrecord(my_records.tfrecord, 100)

这将创建多个较小的记录文件

my_records.tfrecord.000

my_records.tfrecord.001