tf.sparse.expand_dims
Inserts a dimension of 1 into a tensor's shape.
tf.sparse.expand_dims(
sp_input, axis=None, name=None
)
Given a tensor sp_input
, this operation inserts a dimension of 1 at the
dimension index axis
of sp_input
's shape. The dimension index axis
starts at zero; if you specify a negative number for axis
it is counted
backwards from the end.
Args |
sp_input
|
A SparseTensor .
|
axis
|
0-D (scalar). Specifies the dimension index at which to expand the
shape of input . Must be in the range [-rank(sp_input) - 1,
rank(sp_input)] .
|
name
|
The name of the output SparseTensor .
|
Returns |
A SparseTensor with the same data as sp_input , but its shape has an
additional dimension of size 1 added.
|
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.
Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[]]