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.
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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SparseDenseCwiseMul(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
SparseDenseCwiseMul
SparseDenseCwiseMul( 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