Defined in tensorflow/_api/v1/data/__init__.py.
tf.data.Dataset API for input pipelines.
See Importing Data for an overview.
Modules
experimental module: Experimental API for building input pipelines.
Classes
class Dataset: Represents a potentially large set of elements.
class FixedLengthRecordDataset: A Dataset of fixed-length records from one or more binary files.
class Iterator: Represents the state of iterating through a Dataset.
class Options: Represents options for tf.data.Dataset.
class TFRecordDataset: A Dataset comprising records from one or more TFRecord files.
class TextLineDataset: A Dataset comprising lines from one or more text files.
Functions
make_initializable_iterator(...): Creates a tf.data.Iterator for enumerating the elements of a dataset.
make_one_shot_iterator(...): Creates a tf.data.Iterator for enumerating the elements of a dataset.