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tensorflow::ops::SerializeManySparse

#include <sparse_ops.h>

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

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.

Returns:

  • Output: The serialized_sparse tensor.
Constructors and Destructors
SerializeManySparse(const ::tensorflow::Scope & scope, ::tensorflow::Input sparse_indices, ::tensorflow::Input sparse_values, ::tensorflow::Input sparse_shape)
Public attributes
serialized_sparse
Public functions
node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const

Public attributes

serialized_sparse

::tensorflow::Output serialized_sparse

Public functions

SerializeManySparse

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

node

::tensorflow::Node * node() const 

operator::tensorflow::Input

operator::tensorflow::Input() const 

operator::tensorflow::Output

operator::tensorflow::Output() const 

© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/serialize-many-sparse.html