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tf.sparse.maximum

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Returns the element-wise max of two SparseTensors.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.sparse.maximum, tf.compat.v1.sparse_maximum

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

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

sp_zero = sparse_tensor.SparseTensor([[0]], [0], [7])
sp_one = sparse_tensor.SparseTensor([[1]], [1], [7])
res = tf.sparse.maximum(sp_zero, sp_one).eval()
# "res" should be equal to SparseTensor([[0], [1]], [0, 1], [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.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/sparse/maximum

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