tensorflow::ops::SparseDenseCwiseAdd

#include <sparse_ops.h>

Adds up a SparseTensor and a dense Tensor, using these special rules:

Summary

(1) Broadcasts the dense side to have the same shape as the sparse side, if eligible; (2) Then, only the dense values pointed to by the indices of the SparseTensor participate in the cwise addition.

By these rules, the result is a logical SparseTensor with exactly the same indices and shape, but possibly with different non-zero values. The output of this Op is the resultant non-zero values.

Arguments:

  • scope: A Scope object
  • sp_indices: 2-D. N x R matrix with the indices of non-empty values in a SparseTensor, possibly not in canonical ordering.
  • sp_values: 1-D. N non-empty values corresponding to sp_indices.
  • sp_shape: 1-D. Shape of the input SparseTensor.
  • dense: R-D. The dense Tensor operand.

Returns:

  • Output: 1-D. The N values that are operated on.

Constructors and Destructors

SparseDenseCwiseAdd(const ::tensorflow::Scope & scope, ::tensorflow::Input sp_indices, ::tensorflow::Input sp_values, ::tensorflow::Input sp_shape, ::tensorflow::Input dense)

Public attributes

output

Public functions

node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const

Public attributes

output

::tensorflow::Output output

Public functions

SparseDenseCwiseAdd

 SparseDenseCwiseAdd(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input sp_indices,
  ::tensorflow::Input sp_values,
  ::tensorflow::Input sp_shape,
  ::tensorflow::Input dense
)

node

::tensorflow::Node * node() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const