update ManOpt and associated packages

Author: oscardssmith

lib/OptimizationManopt/Project.toml

@@ -14,10 +14,10 @@ Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
 
 [compat]
 LinearAlgebra = "1.10"
-ManifoldDiff = "0.3.10"
-Manifolds = "0.9.18"
-ManifoldsBase = "0.15.10"
-Manopt = "0.4.63"
+ManifoldDiff = "0.3.10, 0.4"
+Manifolds = "0.9.18, 0.10"
+ManifoldsBase = "0.15.10, 1"
+Manopt = "0.5"
 Optimization = "4"
 Reexport = "1.2"
 julia = "1.9"

lib/OptimizationManopt/src/OptimizationManopt.jl

@@ -67,7 +67,7 @@ function call_manopt_optimizer(
         x0;
         stopping_criterion::Union{Manopt.StoppingCriterion, Manopt.StoppingCriterionSet},
         evaluation::AbstractEvaluationType = Manopt.AllocatingEvaluation(),
-        stepsize::Stepsize = ArmijoLinesearch(M),
+        stepsize::Stepsize = ArmijoLinesearchStepsize(M),
         kwargs...)
     opts = gradient_descent(M,
         loss,
@@ -174,7 +174,7 @@ function call_manopt_optimizer(M::Manopt.AbstractManifold,
         stepsize = WolfePowellLinesearch(M;
             retraction_method = retraction_method,
             vector_transport_method = vector_transport_method,
-            linesearch_stopsize = 1e-12),
+            stop_when_stepsize_less = 1e-12),
         kwargs...
 )
     opts = quasi_Newton(M,
@@ -308,7 +308,7 @@ function call_manopt_optimizer(M::ManifoldsBase.AbstractManifold,
         stopping_criterion::Union{Manopt.StoppingCriterion, Manopt.StoppingCriterionSet},
         evaluation::AbstractEvaluationType = InplaceEvaluation(),
         retraction_method::AbstractRetractionMethod = default_retraction_method(M),
-        stepsize::Stepsize = DecreasingStepsize(; length = 2.0, shift = 2),
+        stepsize::Stepsize = DecreasingLength(; length = 2.0, shift = 2),
         kwargs...)
     opt = Frank_Wolfe_method(M,
         loss,

lib/OptimizationManopt/test/runtests.jl

@@ -33,7 +33,7 @@ end
     x0 = zeros(2)
     p = [1.0, 100.0]
 
-    stepsize = Manopt.ArmijoLinesearch(R2)
+    stepsize = Manopt.ArmijoLinesearch()
     opt = OptimizationManopt.GradientDescentOptimizer()
 
     optprob_forwarddiff = OptimizationFunction(rosenbrock, Optimization.AutoEnzyme())