tf.io.serialize_many_sparse

Serialize N-minibatch SparseTensor into an [N, 3] Tensor.

View aliases

Main aliases

`tf.serialize_many_sparse`

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.io.serialize_many_sparse, tf.compat.v1.serialize_many_sparse

tf.io.serialize_many_sparse(
    sp_input, name=None, out_type=tf.dtypes.string
)

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.
name	A name prefix for the returned tensors (optional).
out_type	The dtype 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	If sp_input is not a SparseTensor.