Public API for tf._api.v2.data.experimental namespace
Modules
service module: Public API for tf._api.v2.data.experimental.service namespace
Classes
class AutoShardPolicy: Represents the type of auto-sharding to use.
class AutotuneAlgorithm: Represents the type of autotuning algorithm to use.
class AutotuneOptions: Represents options for autotuning dataset performance.
class CheckpointInputPipelineHook: Checkpoints input pipeline state every N steps or seconds.
class CsvDataset: A Dataset comprising lines from one or more CSV files.
class DatasetInitializer: Creates a table initializer from a tf.data.Dataset.
class DatasetStructure: Type specification for tf.data.Dataset.
class DistributeOptions: Represents options for distributed data processing.
class ExternalStatePolicy: Represents how to handle external state during serialization.
class OptimizationOptions: Represents options for dataset optimizations.
class Optional: Represents a value that may or may not be present.
class OptionalStructure: Type specification for tf.experimental.Optional.
class RandomDataset: A Dataset 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 Structure: Specifies a TensorFlow value type.
class TFRecordWriter: Writes a dataset to a TFRecord file. (deprecated)
class ThreadingOptions: Represents options for dataset threading.
Functions
Counter(...): Creates a Dataset that counts from start in steps of size step. (deprecated)
RaggedTensorStructure(...): DEPRECATED FUNCTION
SparseTensorStructure(...): DEPRECATED FUNCTION
TensorArrayStructure(...): DEPRECATED FUNCTION
TensorStructure(...): DEPRECATED FUNCTION
assert_cardinality(...): Asserts the cardinality of the input dataset.
bucket_by_sequence_length(...): A transformation that buckets elements in a Dataset by length. (deprecated)
cardinality(...): Returns the cardinality of dataset, if known.
choose_from_datasets(...): Creates a dataset that deterministically chooses elements from datasets. (deprecated)
copy_to_device(...): A transformation that copies dataset elements to the given target_device.
dense_to_ragged_batch(...): A transformation that batches ragged elements into tf.RaggedTensors. (deprecated)
dense_to_sparse_batch(...): A transformation that batches ragged elements into tf.sparse.SparseTensors. (deprecated)
enable_debug_mode(...): Enables debug mode for tf.data.
enumerate_dataset(...): A transformation that enumerates the elements of a dataset. (deprecated)
from_list(...): Creates a Dataset comprising the given list of elements.
from_variant(...): Constructs a dataset from the given variant and (nested) structure.
get_next_as_optional(...): Returns a tf.experimental.Optional with the next element of the iterator. (deprecated)
get_single_element(...): Returns the single element of the dataset as a nested structure of tensors. (deprecated)
get_structure(...): Returns the type signature for elements of the input dataset / 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. (deprecated)
ignore_errors(...): Creates a Dataset from another Dataset and silently ignores any errors. (deprecated)
index_table_from_dataset(...): Returns an index lookup table based on the given dataset.
make_batched_features_dataset(...): Returns a Dataset of feature dictionaries from Example protos.
make_csv_dataset(...): Reads CSV files into a dataset.
make_saveable_from_iterator(...): Returns a SaveableObject for saving/restoring iterator state using Saver. (deprecated)
map_and_batch(...): Fused implementation of map and batch. (deprecated)
map_and_batch_with_legacy_function(...): Fused implementation of map and batch. (deprecated)
pad_to_cardinality(...): Pads a dataset with fake elements to reach the desired cardinality.
parallel_interleave(...): A parallel version of the Dataset.interleave() transformation. (deprecated)
parse_example_dataset(...): A transformation that parses Example protos into a dict of tensors. (deprecated)
prefetch_to_device(...): A transformation that prefetches dataset values to the given device.
rejection_resample(...): A transformation that resamples a dataset to achieve a target distribution. (deprecated)
sample_from_datasets(...): Samples elements at random from the datasets in datasets. (deprecated)
scan(...): A transformation that scans a function across an input dataset. (deprecated)
shuffle_and_repeat(...): Shuffles and repeats a Dataset, reshuffling with each repetition. (deprecated)
snapshot(...): API to persist the output of the input dataset. (deprecated)
table_from_dataset(...): Returns a lookup table based on the given dataset.
take_while(...): A transformation that stops dataset iteration based on a predicate. (deprecated)
to_variant(...): 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, discarding duplicates. (deprecated)
Other Members | |
|---|---|
| AUTOTUNE |
-1
|
| INFINITE_CARDINALITY |
-1
|
| SHARD_HINT |
-1
|
| UNKNOWN_CARDINALITY |
-2
|