tf.raw_ops.SerializeManySparse

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

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.SerializeManySparse

 
tf.raw_ops.SerializeManySparse(
    sparse_indices,
    sparse_values,
    sparse_shape,
    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 serialized_sparse will have rank R-1.

The minibatch size N is extracted from sparse_shape[0].

sparse_indices A Tensor of type int64. 2-D. The indices of the minibatch SparseTensor.
sparse_values A Tensor. 1-D. The values of the minibatch SparseTensor.
sparse_shape A Tensor of type int64. 1-D. The shape of the minibatch SparseTensor.
out_type An optional tf.DType from: tf.string, tf.variant. Defaults to tf.string. The dtype to use for serialization; the supported types are string (default) and variant.
name A name for the operation (optional).

A Tensor of type out_type.