tf.raw_ops.MapDataset  |  TensorFlow v2.16.1 (original) (raw)

tf.raw_ops.MapDataset

Stay organized with collections Save and categorize content based on your preferences.

Creates a dataset that applies f to the outputs of input_dataset.

View aliases

Compat aliases for migration

SeeMigration guide for more details.

tf.compat.v1.raw_ops.MapDataset

tf.raw_ops.MapDataset(
    input_dataset,
    other_arguments,
    f,
    output_types,
    output_shapes,
    use_inter_op_parallelism=True,
    preserve_cardinality=False,
    metadata='',
    name=None
)
Args
input_dataset A Tensor of type variant.
other_arguments A list of Tensor objects.
f A function decorated with @Defun.
output_types A list of tf.DTypes that has length >= 1.
output_shapes A list of shapes (each a tf.TensorShape or list of ints) that has length >= 1.
use_inter_op_parallelism An optional bool. Defaults to True.
preserve_cardinality An optional bool. Defaults to False.
metadata An optional string. Defaults to "".
name A name for the operation (optional).
Returns
A Tensor of type variant.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.

Last updated 2024-04-26 UTC.