tf.sparse.retain
View source on GitHub |
Retains specified non-empty values within a SparseTensor
.
tf.sparse.retain( sp_input, to_retain )
For example, if sp_input
has shape [4, 5]
and 4 non-empty string values:
[0, 1]: a [0, 3]: b [2, 0]: c [3, 1]: d
and to_retain = [True, False, False, True]
, then the output will be a SparseTensor
of shape [4, 5]
with 2 non-empty values:
[0, 1]: a [3, 1]: d
Args | |
---|---|
sp_input | The input SparseTensor with N non-empty elements. |
to_retain | A bool vector of length N with M true values. |
Returns | |
---|---|
A SparseTensor with the same shape as the input and M non-empty elements corresponding to the true positions in to_retain . |
Raises | |
---|---|
TypeError | If sp_input is not a 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/r1.15/api_docs/python/tf/sparse/retain