tensorflow::ops::SerializeManySparse

#include <sparse_ops.h>

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

Summary

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].

Arguments:

• scope: A Scope object
• sparse_indices: 2-D. The indices of the minibatch SparseTensor.
• sparse_values: 1-D. The values of the minibatch SparseTensor.
• sparse_shape: 1-D. The shape of the minibatch SparseTensor.

Optional attributes (see Attrs):

• out_type: The dtype to use for serialization; the supported types are string (default) and variant.

Returns:

• Output: The serialized_sparse tensor.

Public attributes

::tensorflow::Output serialized_sparse

Public functions

 SerializeManySparse(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input sparse_indices,
  ::tensorflow::Input sparse_values,
  ::tensorflow::Input sparse_shape
)

 SerializeManySparse(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input sparse_indices,
  ::tensorflow::Input sparse_values,
  ::tensorflow::Input sparse_shape,
  const SerializeManySparse::Attrs & attrs
)

::tensorflow::Node * node() const 

operator::tensorflow::Input() const 

operator::tensorflow::Output() const 

Public static functions

Attrs OutType(
  DataType x
)