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Avoid partial use of a Riesz map in TAO optimizers #240

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Avoid partial use of a Riesz map in TAO optimizers #240

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28d0208
Only set the gradient norm if we have set up the Riesz map elsewhere
jrmaddison Nov 13, 2025
13cb63f
Riesz map documentation
jrmaddison Nov 17, 2025
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11 changes: 8 additions & 3 deletions pyadjoint/optimization/tao_solver.py
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Original file line number Diff line number Diff line change
Expand Up @@ -636,6 +636,11 @@ class TAOConvergenceError(Exception):
class TAOSolver(OptimizationSolver):
"""Use TAO to solve an optimization problem.

Only `LMVM` and `BLMVM` types use the Riesz map to configure the optimizer
-- specifically to define the gradient norm using `TaoSetGradientNorm` and
to define the initial Hessian inverse approximation using `TaoLMVMGetH0`.
Other types use PETSc defaults.

Args:
problem (MinimizationProblem): Defines the optimization problem to be solved.
parameters (Mapping): TAO options.
Expand Down Expand Up @@ -699,9 +704,6 @@ def objective_gradient(tao, x, g):
hessian_mat.getPythonContext().update,
H=hessian_mat, P=Pmat or hessian_mat)

Minv_mat = RieszMapMat(rf.controls, comm=comm)
tao.setGradientNorm(Minv_mat)

if problem.bounds is not None:
lbs = []
ubs = []
Expand All @@ -727,6 +729,9 @@ def objective_gradient(tao, x, g):
if tao.getType() in {PETSc.TAO.Type.LMVM, PETSc.TAO.Type.BLMVM}:
n, N = vec_interface.n, vec_interface.N

Minv_mat = RieszMapMat(rf.controls, comm=comm)
tao.setGradientNorm(Minv_mat)

class InitialHessian:
""":class:`petsc4py.PETSc.Mat` context.
"""
Expand Down