tensorflow::ops::SparseDenseCwiseAdd

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.

Public attributes

Operation operation

::tensorflow::Output output

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

::tensorflow::Node * node() const 

 operator::tensorflow::Input() const 

 operator::tensorflow::Output() const