tensorflow::
#include <sparse_ops.h>
Computes the sum of elements across dimensions of a SparseTensor.
Summary
This Op takes a SparseTensor and is the sparse counterpart to tf.reduce_sum(). In contrast to SparseReduceSum, this Op returns a SparseTensor.
Reduces sp_input along the dimensions given in reduction_axes. Unless keep_dims is true, the rank of the tensor is reduced by 1 for each entry in reduction_axes. If keep_dims is true, the reduced dimensions are retained with length 1.
If reduction_axes has no entries, all dimensions are reduced, and a tensor with a single element is returned. Additionally, the axes can be negative, which are interpreted according to the indexing rules in Python.
Args:
- scope: A Scope object
- input_indices: 2-D. N x Rmatrix with the indices of non-empty values in a SparseTensor, possibly not in canonical ordering.
- input_values: 1-D. Nnon-empty values corresponding toinput_indices.
- input_shape: 1-D. Shape of the input SparseTensor.
- reduction_axes: 1-D. Length-Kvector containing the reduction axes.
Optional attributes (see Attrs):
- keep_dims: If true, retain reduced dimensions with length 1.
Returns:
| Constructors and Destructors | |
|---|---|
| SparseReduceSumSparse(const ::tensorflow::Scope & scope, ::tensorflow::Input input_indices, ::tensorflow::Input input_values, ::tensorflow::Input input_shape, ::tensorflow::Input reduction_axes) | |
| SparseReduceSumSparse(const ::tensorflow::Scope & scope, ::tensorflow::Input input_indices, ::tensorflow::Input input_values, ::tensorflow::Input input_shape, ::tensorflow::Input reduction_axes, const SparseReduceSumSparse::Attrs & attrs) | 
| Public attributes | |
|---|---|
| operation | |
| output_indices | |
| output_shape | |
| output_values | |
| Public static functions | |
|---|---|
| KeepDims(bool x) | |
| Structs | |
|---|---|
| tensorflow:: | Optional attribute setters for SparseReduceSumSparse. | 
Public attributes
operation
Operation operation
output_indices
::tensorflow::Output output_indices
output_shape
::tensorflow::Output output_shape
output_values
::tensorflow::Output output_values
Public functions
SparseReduceSumSparse
SparseReduceSumSparse( const ::tensorflow::Scope & scope, ::tensorflow::Input input_indices, ::tensorflow::Input input_values, ::tensorflow::Input input_shape, ::tensorflow::Input reduction_axes )
SparseReduceSumSparse
SparseReduceSumSparse( const ::tensorflow::Scope & scope, ::tensorflow::Input input_indices, ::tensorflow::Input input_values, ::tensorflow::Input input_shape, ::tensorflow::Input reduction_axes, const SparseReduceSumSparse::Attrs & attrs )
Public static functions
KeepDims
Attrs KeepDims( bool x )