Andrew Audibert 6b9a9d98bb Update "master" to "dispatch"/"dispatcher" in tf.data service terminology. ... Dispatcher is more descriptive and follows the guidance in https://developers.google.com/style/word-list#master PiperOrigin-RevId: 321613785 Change-Id: Iaa576d35f0581e21278101f8b31201ba737a6865		2020-07-16 13:07:28 -07:00
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batching.py	Merge pull request #37856 from Angus-Luo:master	2020-04-02 15:36:41 -07:00
BUILD	[tf.data] Implementation of tf.data.experimental.save and tf.data.experimental.load. The former makes it possible to save the output of a dataset, while the latter makes it possible to load a previously saved data.	2020-06-11 15:37:49 -07:00
cardinality.py	[tf.data] Move cardinality op out of experimental	2020-06-03 12:12:24 -07:00
compression_ops.py	Add dataset element compression ops.	2020-05-20 20:08:06 -07:00
counter.py
data_service_ops.py	Update "master" to "dispatch"/"dispatcher" in tf.data service terminology.	2020-07-16 13:07:28 -07:00
distribute_options.py	[tf.data] This CL changes how the shuffle seed generator is managed, making it possible for the shuffle dataset to support both a) sharing of the seed generator across iterators and b) serialization. As a consequence, this CL enables reshuffling across iterations for tf.distribute and tf.data service use cases (which require both sharing of the seed generator across iterators and serialization support).	2020-04-23 09:08:56 -07:00
distribute.py	Merge pull request #37801 from lgeiger:cleanup-fwd-compat	2020-03-24 11:35:33 -07:00
enumerate_ops.py	[tf.data] API changes.	2020-06-11 16:46:30 -07:00
error_ops.py
get_single_element.py	[tf.data] Removing unnecessary / misleading "compat.v1" references from tf.data documentation.	2020-01-30 15:37:27 -08:00
grouping.py	tf.SparseTensor to tf.sparse.SparseTensor	2020-03-25 10:49:19 +08:00
interleave_ops.py	Support None option for experimental_interleave sloppiness.	2020-02-14 16:40:58 -08:00
io.py	[tf.data] Implementation of tf.data.experimental.save and tf.data.experimental.load. The former makes it possible to save the output of a dataset, while the latter makes it possible to load a previously saved data.	2020-06-11 15:37:49 -07:00
iterator_ops.py	[tf.data] Add documentation for checkpointing V2 dataset iterators.	2020-04-10 10:30:03 -07:00
map_defun.py
matching_files.py
optimization_options.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
optimization.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
parsing_ops.py	Clean up expired forward compatibility checks.	2020-04-25 19:17:43 -07:00
prefetching_ops.py
random_ops.py
readers.py	[tf.data] Bug fix: make_csv_dataset should not modify mutable parameters passed into it	2020-05-07 16:54:35 -07:00
resampling.py	[tf.data] Changing the tf.data.experimental.rejection_resampling implementation to avoid relying on the assumption that a dataset copy produces elements in the same order as the original dataset -- which is not guaranteed to be true (e.g. for shuffled datasets).	2020-01-10 14:30:12 -08:00
scan_ops.py	Add a missing backtick in the documentation of tf.data.experimental.scan.	2020-02-11 16:31:09 -08:00
shuffle_ops.py	[tf.data] Removing unnecessary / misleading "compat.v1" references from tf.data documentation.	2020-01-30 15:37:27 -08:00
sleep.py
snapshot.py	Minor fix to snapshot documentation to add snapshot path as positional argument	2020-06-01 21:07:20 -07:00
stats_aggregator.py
stats_ops.py
stats_options.py
take_while_ops.py
testing.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
threading_options.py
threadpool.py
unique.py
writers.py