Github user srowen commented on the issue:
https://github.com/apache/spark/pull/16038
It might be as simple as writing `Vectors.sparse(n, Seq())` as the zero
value. Everything else appears to operate on a Vector that's either sparse or
dense then. (Of course, the first call to axpy should produce a dense vector,
but, that's already on the executor.)
The method does ultimately want to return a dense vector, and does insert a
cast that assumes it's already a dense vector. If that's a problem, it's easy
to insert a call to `.toDense` on the `Vector` at the end, which is a no-op if
it's already dense, which definitely produces a dense vector.
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