Serialize N-minibatch SparseTensor into an [N, 3] Tensor.
tf.compat.v2.io.serialize_many_sparse(
sp_input, out_type=tf.dtypes.string, name=None
)
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 rank R SparseTensor.
|
out_type
|
The dtype to use for serialization.
|
name
|
A name prefix for the returned tensors (optional).
|
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
|
If sp_input is not a SparseTensor.
|
View source on GitHub