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

tf.raw_ops.TensorSliceDataset

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

Creates a dataset that emits each dim-0 slice of components once.

View aliases

Compat aliases for migration

SeeMigration guide for more details.

tf.compat.v1.raw_ops.TensorSliceDataset

tf.raw_ops.TensorSliceDataset(
    components,
    output_shapes,
    is_files=False,
    metadata='',
    replicate_on_split=False,
    name=None
)
Args
components A list of Tensor objects.
output_shapes A list of shapes (each a tf.TensorShape or list of ints) that has length >= 1.
is_files An optional bool. Defaults to False.
metadata An optional string. Defaults to "".
replicate_on_split An optional bool. Defaults to False.
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.