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Copy file name to clipboardExpand all lines: site/en/tutorials/distribute/input.ipynb
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"This guide will show you the different ways in which you can create distributed dataset and iterators using `tf.distribute` APIs. Additionally, the following topics will be covered:\n",
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"- Usage, sharding and batching options when using `tf.distribute.Strategy.experimental_distribute_dataset` and `tf.distribute.Strategy.distribute_datasets_from_function`.\n",
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"- Different ways in which you can iterate over the distributed dataset.\n",
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"- Differences between `tf.distribute.Strategy.experimental_distribute_dataset`/`tf.distribute.Strategy.distribute_datasets_from_function` APIs and `tf.data` APIs as well any limitations that users may come across in their usage.\n",
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"- Differences between `tf.distribute.Strategy.experimental_distribute_dataset`/`tf.distribute.Strategy.distribute_datasets_from_function` APIs and `tf.data` APIs as well as any limitations that users may come across in their usage.\n",
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"\n",
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"This guide does not cover usage of distributed input with Keras APIs."
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