Module: tf.compat.v1.data
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 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.
Functions
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.
| Other Members | |
|---|---|
| AUTOTUNE | -1 |
| 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/r2.4/api_docs/python/tf/compat/v1/data