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rfcs/20200113-tf-data-service.md

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@@ -507,9 +507,9 @@ the tf.data service.
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relies on the order of the input files, the user's assumptions will be
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violated when splitting causes each input worker to process only a subset of
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the input files.
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- If a dataset doesn't support splitting, it must be moved after the part of
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the dataset which is distributed. Alternately, the user could set
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num_tasks=1 to avoid the need for splitting, but this will have a heavy
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- If a particular dataset operation doesn't support splitting, it must be moved
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after the part of the dataset which is distributed. Alternately, the user could
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set num_tasks=1 to avoid the need for splitting, but this will have a heavy
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performance cost since it only allows a single worker to generate dataset
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elements. The most commonly used but unsupported datasets are
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`from_generator` and `zip`.

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