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divide tfrecord into multiple
import tensorflow as tf
raw_dataset = tf.data.TFRecordDataset("input_file.tfrecord")
shards = 10
for i in range(shards):
writer = tf.data.experimental.TFRecordWriter(f"output_file-part-{i}.tfrecord")
writer.write(raw_dataset.shard(shards, i))
Source: stackoverflow.com
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