The saved dataset is saved in a number of file "shards". By default, the dataset output is divided to shards in a round-robin trend but personalized sharding can be specified by way of the shard_func purpose. As an example, you can save the dataset to applying just one shard as follows:Tensorflow supports getting checkpoints to ensure when your ins