tf.serialize_many_sparse
tf.serialize_many_sparse
tf.serialize_many_sparse
serialize_many_sparse( sp_input, name=None )
Defined in tensorflow/python/ops/sparse_ops.py
.
Serialize an N
-minibatch SparseTensor
into an [N, 3]
string Tensor
.
The SparseTensor
must have rank R
greater than 1, and the first dimension is treated as the minibatch dimension. Elements of the SparseTensor
must be sorted in increasing order of this first dimension. The serialized SparseTensor
objects going into each row of the output Tensor
will have rank R-1
.
The minibatch size N
is extracted from sparse_shape[0]
.
Args:
-
sp_input
: The input rankR
SparseTensor
. -
name
: A name prefix for the returned tensors (optional).
Returns:
A string matrix (2-D Tensor
) with N
rows and 3
columns. Each column represents serialized SparseTensor
's indices, values, and shape (respectively).
Raises:
-
TypeError
: Ifsp_input
is not aSparseTensor
.
© 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/serialize_many_sparse