tf.sparse_retain(sp_input, to_retain)
See the guide: Sparse Tensors > Manipulation
Retains specified non-empty values within a SparseTensor
.
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
sp_input
: The input SparseTensor
with N
non-empty elements.to_retain
: A bool vector of length N
with M
true values.A SparseTensor
with the same shape as the input and M
non-empty elements corresponding to the true positions in to_retain
.
TypeError
: If sp_input
is not a SparseTensor
.Defined in tensorflow/python/ops/sparse_ops.py
.
© 2017 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/api_docs/python/tf/sparse_retain