tensorflow::ops::SparseDenseCwiseMul

#include <sparse_ops.h>

Component-wise multiplies a SparseTensor by a dense Tensor.

Summary

The output locations corresponding to the implicitly zero elements in the sparse tensor will be zero (i.e., will not take up storage space), regardless of the contents of the dense tensor (even if it's +/-INF and that INF*0 == NaN).

Limitation: this Op only broadcasts the dense side to the sparse side, but not the other direction.

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

::tensorflow::Output output

Public functions

 SparseDenseCwiseMul(
  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