| Status | (Proposed / Accepted / Implemented / Obsolete) |

| :------------ | :------------------------------------------------------ |
| **RFC #**     | [NNN](https://github.com/tensorflow/community/pull/NNN) |
:               : (update when you have community PR #)                   :
| **Author(s)** | Andrew Audibert ([email protected]) Rohan Jain       |
:               : ([email protected])                                     :
| **Sponsor**   | Jiri Simsa ([email protected])                          |
| **Updated**   | 2019-01-13

Provide an API and implementation of a tf.data service which can process tf.data
datasets in a distributed manner. The service can be run outside the TensorFlow
cluster or be exported as a gRPC service by TensorFlow servers.

Goals:

-   Enable horizontal scaling of dataset computation to improve performance of
    input-bound dataset pipelines.
-   Improve tf.data integration with the tf.distribute API. In particular,
    support dynamic sharding of data across multiple processes.
-   Provide visitation guarantees for distributed training jobs.

Author: aaudiber