  We prove a stochastic maximum principle ofPontryagin's type for the optimal
control of a stochastic partial differential equationdriven by white noise in
the case when the set of control actions is convex. Particular attention is
paid to well-posedness of the adjoint backward stochastic differential equation
and the regularity properties of its solution with values in
infinite-dimensional spaces.
