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.

Args:

  • 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

operation
output

Public functions

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

Public attributes

operation 

Operation operation

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