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 tosp_indices
. - sp_shape: 1-D. Shape of the input SparseTensor.
- dense:
R
-D. The dense Tensor operand.
Returns:
Output
: 1-D. TheN
values that are operated on.
Constructors and Destructors |
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SparseDenseCwiseAdd(const ::tensorflow::Scope & scope, ::tensorflow::Input sp_indices, ::tensorflow::Input sp_values, ::tensorflow::Input sp_shape, ::tensorflow::Input dense)
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Public attributes |
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operation
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output
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Public functions |
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node() const
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::tensorflow::Node *
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operator::tensorflow::Input() const
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operator::tensorflow::Output() const
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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