TensorFlow 2.0 version
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Modules
experimental module
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
get_output_classes(...): Returns the output classes of a Dataset or Iterator.
get_output_shapes(...): Returns the output shapes of a Dataset or Iterator.
get_output_types(...): Returns the output shapes of a Dataset or Iterator.
make_initializable_iterator(...): Creates a tf.compat.v1.data.Iterator for enumerating the elements of a dataset.
make_one_shot_iterator(...): Creates a tf.compat.v1.data.Iterator for enumerating the elements of a dataset.