tf.sparse.reduce_sum

Computes tf.sparse.add of elements across dimensions of a SparseTensor.

Used in the notebooks

Used in the tutorials

This is the reduction operation for the elementwise tf.sparse.add op.

This Op takes a SparseTensor and is the sparse counterpart to tf.reduce_sum(). In particular, this Op also returns a dense Tensor if output_is_sparse is False, or a SparseTensor if output_is_sparse is True.

Reduces sp_input along the dimensions given in axis. Unless keepdims is true, the rank of the tensor is reduced by 1 for each entry in axis. If keepdims is true, the reduced dimensions are retained with length 1.

If axis has no entries, all dimensions are reduced, and a tensor with a single element is returned. Additionally, the