Module: tf.data.experimental

Experimental API for building input pipelines.

This module contains experimental Dataset sources and transformations that can be used in conjunction with the tf.data.Dataset API. Note that the tf.data.experimental API is not subject to the same backwards compatibility guarantees as tf.data, but we will provide deprecation advice in advance of removing existing functionality.

See for an overview.

Classes

class CheckpointInputPipelineHook: Checkpoints input pipeline state every N steps or seconds.

class CsvDataset: A Dataset comprising lines from one or more CSV files.

class DistributeOptions: Represents options for distributed data processing.

class MapVectorizationOptions: Represents options for the MapVectorization optimization.

class OptimizationOptions免费成长做爱直播有哪些: Represents options for dataset optimizations.

class Optional: Wraps a value that may/may not be present at runtime.

class RandomDataset: A Dataset免费成长做爱直播有哪些 of pseudorandom values.

class Reducer: A reducer is used for reducing a set of elements.

class SqlDataset: A Dataset consisting of the results from a SQL query.

class StatsAggregator: A stateful resource that aggregates statistics from one or more iterators.

class StatsOptions: Represents options for collecting dataset stats using StatsAggregator.

class TFRecordWriter免费成长做爱直播有哪些: Writes data to a TFRecord file.

class ThreadingOptions: Represents options for dataset threading.

Functions

Counter(...): Creates a Dataset that counts from start in steps of size step.

bucket_by_sequence_length(...): A transformation that buckets elements in a Dataset by length.

bytes_produced_stats(...): Records the number of bytes produced by each element of the input dataset.

cardinality(...): Returns the cardinality of dataset免费成长做爱直播有哪些, if known.

choose_from_datasets(...): Creates a dataset that deterministically chooses elements from datasets.

copy_to_device(...): A transformation that copies dataset elements to the given target_device.

dense_to_sparse_batch(...): A transformation that batches ragged elements into tf.SparseTensors.

enumerate_dataset(...): A transformation that enumerates the elements of a dataset. (deprecated)

from_variant(...)免费成长做爱直播有哪些: Constructs a dataset from the given variant and structure.

get_next_as_optional(...): Returns an Optional免费成长做爱直播有哪些 that contains the next value from the iterator.

get_single_element(...): Returns the single element in dataset免费成长做爱直播有哪些 as a nested structure of tensors.

get_structure(...): Returns the type specification of an element of a Dataset or Iterator.

group_by_reducer(...): A transformation that groups elements and performs a reduction.

group_by_window(...): A transformation that groups windows of elements by key and reduces them.

ignore_errors(...): Creates a Dataset from another Dataset and silently ignores any errors.

latency_stats(...)免费成长做爱直播有哪些: Records the latency of producing each element of the input dataset.

make_batched_features_dataset(...)

make_csv_dataset(...): Reads CSV files into a dataset.

make_saveable_from_iterator(...)免费成长做爱直播有哪些: Returns a SaveableObject for saving/restoring iterator state using Saver.

map_and_batch(...): Fused implementation of map and batch免费成长做爱直播有哪些. (deprecated)

parallel_interleave(...): A parallel version of the Dataset.interleave()免费成长做爱直播有哪些 transformation. (deprecated)

parse_example_dataset(...): A transformation that parses Example protos into a dict免费成长做爱直播有哪些 of tensors.

prefetch_to_device(...): A transformation that prefetches dataset values to the given device.

rejection_resample(...)免费成长做爱直播有哪些: A transformation that resamples a dataset to achieve a target distribution.

sample_from_datasets(...): Samples elements at random from the datasets in datasets.

scan(...): A transformation that scans a function across an input dataset.

shuffle_and_repeat(...): Shuffles and repeats a Dataset returning a new permutation for each epoch. (deprecated)

take_while(...): A transformation that stops dataset iteration based on a predicate.

to_variant(...)免费成长做爱直播有哪些: Returns a variant representing the given dataset.

unbatch(...): Splits elements of a dataset into multiple elements on the batch dimension. (deprecated)

unique(...): Creates a Dataset from another Dataset免费成长做爱直播有哪些, discarding duplicates.

Other Members

  • AUTOTUNE = -1
  • INFINITE_CARDINALITY = -1
  • UNKNOWN_CARDINALITY = -2

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