tf.sparse.minimum
Returns the element-wise min of two SparseTensors.
View aliases
Compat aliases for migration
See
Migration guide for
more details.
tf.compat.v1.sparse.minimum
, tf.compat.v1.sparse_minimum
tf.sparse.minimum(
sp_a, sp_b, name=None
)
Assumes the two SparseTensors have the same shape, i.e., no broadcasting.
Example |
>>> sp_zero = tf.sparse.SparseTensor([[0]], [0], [7])
>>> sp_one = tf.sparse.SparseTensor([[1]], [1], [7])
>>> res = tf.sparse.minimum(sp_zero, sp_one)
>>> res.indices
<tf.Tensor: shape=(2, 1), dtype=int64, numpy=
array([[0],
[1]])>
>>> res.values
<tf.Tensor: shape=(2,), dtype=int32, numpy=array([0, 0], dtype=int32)>
>>> res.dense_shape
<tf.Tensor: shape=(1,), dtype=int64, numpy=array([7])>
|
Args |
sp_a
|
a SparseTensor operand whose dtype is real, and indices
lexicographically ordered.
|
sp_b
|
the other SparseTensor operand with the same requirements (and the
same shape).
|
name
|
optional name of the operation.
|
Returns |
output
|
the output 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.
[null,null,["Last updated 2024-04-26 UTC."],[],[]]