Aliases:
tf.io.serialize_many_sparse
tf.serialize_many_sparse
tf.io.serialize_many_sparse(
sp_input,
name=None,
out_type=tf.dtypes.string
)
Defined in tensorflow/python/ops/sparse_ops.py
.
Serialize N
-minibatch SparseTensor
into an [N, 3]
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).out_type
: Thedtype
to use for serialization.
Returns:
A 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
.