tf.data.Dataset
API for input pipelines.
See Importing Data for an overview.
experimental
module: Experimental API for building input pipelines.
class Dataset
: Represents a potentially large set of elements.
class DatasetSpec
: Type specification for tf.data.Dataset
.
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.
get_output_classes(...)
: Returns the output classes for elements of the input dataset / iterator.
get_output_shapes(...)
: Returns the output shapes for elements of the input dataset / iterator.
get_output_types(...)
: Returns the output shapes for elements of the input dataset / iterator.
make_initializable_iterator(...)
: Creates an iterator for elements of dataset
.
make_one_shot_iterator(...)
: Creates an iterator for elements of dataset
.
INFINITE_CARDINALITY = -1
UNKNOWN_CARDINALITY = -2
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/compat/v1/data