SparseReduceSumSparse
tensorflow C++ API
tensorflow::ops::SparseReduceSumSparse
Computes the sum of elements across dimensions of a SparseTensor.
Summary
This Op takes a SparseTensor and is the sparse counterpart totf.reduce_sum()
. In contrast toSparseReduceSum, this Op returns a SparseTensor.
Reducessp_input
along the dimensions given inreduction_axes
. Unlesskeep_dims
is true, the rank of the tensor is reduced by 1 for each entry inreduction_axes
. Ifkeep_dims
is true, the reduced dimensions are retained with length 1.
Ifreduction_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.
Arguments:
- scope: A Scope object
- input_indices: 2-D.
N x R
matrix with the indices of non-empty values in a SparseTensor, possibly not in canonical ordering. - input_values: 1-D.
N
non-empty values corresponding toinput_indices
. - input_shape: 1-D. Shape of the input SparseTensor.
- reduction_axes: 1-D. Length-
K
vector containing the reduction axes.
Optional attributes (seeAttrs
):
- keep_dims: If true, retain reduced dimensions with length 1.
Returns:
SparseReduceSumSparse block
Source link : https://github.com/EXPNUNI/enuSpaceTensorflow/blob/master/enuSpaceTensorflow/tf_sparse.cpp
Argument:
- Scope scope : A Scope object (A scope is generated automatically each page. A scope is not connected.)
- Input input_indices: connect Input node.
- Input input_values: connect Input node.
- Input input_shape: connect Input node.
- Input reduction_axes: connect Input node.
- SparseReduceSumSparse::Attrs attrs : Input attrs in value. ex) keep_dims= false;
Return:
- Output output_indices: Output object of SparseReduceSumSparse class object.
- Output output_values: Output object of SparseReduceSumSparse class object.
- Output output_shape: Output object of SparseReduceSumSparse class object.
Result:
- std::vector(Tensor) result_output_indices : Returned object of executed result by calling session.
- std::vector(Tensor) result_output_values: Returned object of executed result by calling session.
- std::vector(Tensor) result_output_shape: Returned object of executed result by calling session.