tf.sparse.slice

Slice a SparseTensor based on the start and size.

Compat aliases for migration

tf.compat.v1.sparse.slice, tf.compat.v1.sparse_slice

tf.sparse.slice( sp_input, start, size, name=None )

Used in the guide
Working with sparse tensors

For example, if the input is

input_tensor = shape = [2, 7] [ a d e ] [b c ]

Graphically the output tensors are:

sparse.slice([0, 0], [2, 4]) = shape = [2, 4] [ a ] [b c ] sparse.slice([0, 4], [2, 3]) = shape = [2, 3] [ d e ] [ ]

Args
`sp_input`	The `SparseTensor` to split.
`start`	1-D. tensor represents the start of the slice.
`size`	1-D. tensor represents the size of the slice.
`name`	A name for the operation (optional).

Returns
A `SparseTensor` objects resulting from splicing.

Raises
`TypeError`	If `sp_input` is not a `SparseTensor`.

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.

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