SparseReduceSum

tensorflow C++ API

tensorflow::ops::SparseReduceSum

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 particular, this Op also returns a dense Tensor instead of a sparse one.

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.

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 to input_indices.
• input_shape: 1-D. Shape of the input SparseTensor.
• reduction_axes: 1-D. Length-K vector containing the reduction axes.

Optional attributes (see Attrs):

• keep_dims: If true, retain reduced dimensions with length 1.

Returns:

• Output: R-K-D. The reduced Tensor.

SparseReduceSum 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.
• SparseReduceSum ::Attrs attrs : Input attrs in value. ex) keep_dims= false;

Return:

• Output output: Output object of SparseReduceSum class object.

Result:

• std::vector(Tensor) result_output : Returned object of executed result by calling session.

Using Method