Jiri Simsa dca04c0a9b [tf.data] Internal change. ...

PiperOrigin-RevId: 314389120
Change-Id: I87b049e02b1aa7a658716b62acd1420bb5ac76ee

2020-06-02 13:10:01 -07:00

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autotune_benchmark.py

1) Remove autotune_algorithm from experimental_options. Instead, use HILL_CLIMB when buffer size autotuning is disabled and GRADIENT_DESCENT when buffer size autotuning is enabled.

2019-12-04 17:06:52 -08:00

BUILD

[tf.data] Internal change.

2020-06-02 13:10:01 -07:00

choose_fastest_benchmark.py

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choose_fastest_branch_benchmark.py

[tf.data] Moving tf.data test-only transformations to one module and marking the corresponding target test-only.

2019-11-14 22:20:14 -08:00

csv_dataset_benchmark.py

Fix broken Guitar benchmark target //learning/brain/contrib/data:csv_dataset_benchmark and //learning/brain/contrib/data:map_and_batch_benchmark.

2019-12-19 20:37:25 -08:00

map_and_batch_benchmark.py

Update thread utilization async in map_and_batch dataset.

2020-01-22 17:57:51 -08:00

map_defun_benchmark.py

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map_vectorization_benchmark.py

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matching_files_benchmark.py

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optimize_benchmark.py

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parallel_interleave_benchmark.py

Asynchronously update the thread_utilization statistic in parallel_interleave_dataset.

2020-01-16 13:18:56 -08:00

rejection_resample_benchmark.py

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snapshot_dataset_benchmark.py

Rename experimental version of snapshot to legacy_snapshot in preparation for opensourcing of new snapshot implementation

2020-05-27 17:03:10 -07:00

unbatch_benchmark.py

Replace tf.{data.experimental,contrib.data}.unbatch() with Dataset.unbatch().

2019-10-11 08:13:18 -07:00