tf.sparse.minimum
Returns the element-wise min of two SparseTensors.
tf.sparse.minimum(
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.minimum(sp_zero, sp_one).eval()
# "res" should be equal to SparseTensor([[0], [1]], [0, 0], [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/r2.3/api_docs/python/tf/sparse/minimum