tf.sparse.maximum

Returns the element-wise max of two SparseTensors.

tf.sparse.maximum(
    sp_a, sp_b, name=None
)

Assumes the two SparseTensors have the same shape, i.e., no broadcasting.

>>> sp_zero = tf.sparse.SparseTensor([[0]], [0], [7])
>>> sp_one = tf.sparse.SparseTensor([[1]], [1], [7])
>>> res = tf.sparse.maximum(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, 1], dtype=int32)>
>>> res.dense_shape
<tf.Tensor: shape=(1,), dtype=int64, numpy=array([7])>

The reduction version of this elementwise operation is tf.sparse.reduce_max

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.

output the output SparseTensor.