tf.compat.v1.sparse_reduce_sum_sparse

Computes the sum of elements across dimensions of a SparseTensor. (deprecated arguments)

tf.compat.v1.sparse_reduce_sum_sparse(
    sp_input, axis=None, keepdims=None, reduction_axes=None, keep_dims=None
)

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 keepdims is true, the rank of the tensor is reduced by 1 for each entry in reduction_axes. If keepdims 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.

sp_input The SparseTensor to reduce. Should have numeric type.
axis The dimensions to reduce; list or scalar. If None (the default), reduces all dimensions.
keepdims If true, retain reduced dimensions with length 1.
reduction_axes Deprecated name of axis.
keep_dims Deprecated alias for keepdims.

The reduced SparseTensor.