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Commits on Nov 22, 2018

• [tf.data] Moving the (experimental) MatchingFiles dataset implementation to the experimental source subtree.

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Commits on Nov 21, 2018

• [tf.data] Options-related changes.

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• [tf.data] Properly guard access to shared state with a mutex.

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Commits on Nov 20, 2018

• [tf.data] Propagate private threadpool size parameter during iterator creation so that it is (actually) used as the maximum degree of parallelism for autotuning.

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Commits on Nov 16, 2018

• [tf.data] Fix the default thread pool size use for auto-tuning.

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Commits on Nov 13, 2018

• [tf.data] Failing early when batch memory allocation fails.

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Commits on Nov 12, 2018

• [tf.data] Reducing the overhead of performance modeling.

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Commits on Nov 5, 2018

• [tf.data] Fix internal test failure.

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• [tf.data] Fix internal test failure.

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• [tf.data] Clean up of how `IteratorContext` is constructed and modified.

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Commits on Nov 2, 2018

• [tf.data] Making it possible to apply static optimizations to input pipelines that contain datasets that do not implement serialization.

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• [tf.data] Enable performance modeling by default.

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• [tf.data] Fix an internal test failure.

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Commits on Oct 31, 2018

• [tf.data] Fix an internal test failure.

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• [tf.data] Refactoring of performance modeling implementation and adding performance modeling for all core and experimental tf.data kernels.

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• [tf.data] Using consistent thread names.

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Commits on Oct 22, 2018

• [tf.data] Using a model snapshot for autotuning optimization.

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Commits on Oct 19, 2018

• [tf.data] Internal cleanup of optimization tests.

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• [tf.data] Apply options when `MultiDeviceIterator` is used.

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Commits on Oct 16, 2018

• fixing minor documentation nits

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Commits on Oct 15, 2018

• [tf.data] Mechanism for trading determinism for performance.

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Commits on Oct 11, 2018

• [tf.data] Performance modeling fixes.

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• Automated rollback of commit 9bad98c61f27b60152119bb1c2cfd402c3bf7f3d

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• [tf.data] Changing the background performance modeling to be on by default.

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Commits on Oct 8, 2018

• [tf.data] Adding specialization for `MapDataset`, `ParallelMapDataset`, and `MapAndBatchDataset` whose user-provided functions have the property that each output argument take its value directly fr…

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Commits on Oct 5, 2018

• Automated rollback of commit ae0bc6f006497cc04a2ee75166d4ec71c7154fd8

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• [tf.data] Adding specialization for `MapDataset`, `ParallelMapDataset`, and `MapAndBatchDataset` whose user-provided functions have the property that each output argument take its value directly fr…

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Commits on Oct 3, 2018

• [tf.data] Fix noisy warning.

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• Automated rollback of commit 51b266fba181dffb6b3f9207280cde6b7670dd90

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• [tf.data] Fix noisy warning.

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Commits on Oct 2, 2018

• [tf.data] Adding `tf.data.Options()`, `tf.data.Dataset.options()`, and `tf.data.Dataset.with_options()` to make it possible to respectively represent, get, and set options, such as optimization con…

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• [tf.data] More robust solution for input pipeline <--> performance model coordination.

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Commits on Sep 28, 2018

• [tf.data] Referencing an internal issue.

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Commits on Sep 27, 2018

• [tf.data Introducing tf.data.Dataset.reduce() which reduces elements of a (finite) dataset to a single element.

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• [tf.data] Minor refactoring of tf.data tests.

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