STT-tensorflow/tensorflow/python/data/experimental/benchmarks
Kibeom Kim aab4cde23e Enable more TFRT test targets that are newly passing
PiperOrigin-RevId: 333337050
Change-Id: I53a9af35c09f9ddb9ed6dc47bedfce2b8662205b
2020-09-23 11:44:50 -07:00
..
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 Enable more TFRT test targets that are newly passing 2020-09-23 11:44:50 -07:00
choose_fastest_benchmark.py
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
map_vectorization_benchmark.py
matching_files_benchmark.py
optimize_benchmark.py
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
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