Sparse maxpooling_backward returns incorrect results

The existing tests for maxpooling_backward always use dense data, which hides underlying correctness issues. These issues are due to invalid handling of empty sparse rows, empty ranges, and partial range entries with negative values. In all these cases, the maximum value is 0, which position determines the index for adding corresponding values.