standardize the cache

Author: avik-pal

src/jacobian.jl

@@ -139,11 +139,14 @@ function jacobian_caches(alg::AbstractNonlinearSolveAlgorithm, f::F, u::Number,
         kwargs...) where {needsJᵀJ, F}
     # NOTE: Scalar `u` assumes scalar output from `f`
     uf = SciMLBase.JacobianWrapper{false}(f, p)
-    needsJᵀJ && return uf, nothing, u, nothing, nothing, u, u, u
-    return uf, FakeLinearSolveJLCache(u, u), u, nothing, nothing, u
+    return uf, FakeLinearSolveJLCache(u, u), u, nothing, nothing, u, u, u
 end
 
 # Linear Solve Cache
+function linsolve_caches(A::Number, b, u, p, alg; linsolve_kwargs = (;))
+    return FakeLinearSolveJLCache(A, b)
+end
+
 function linsolve_caches(A, b, u, p, alg; linsolve_kwargs = (;))
     if alg.linsolve === nothing && A isa SMatrix && linsolve_kwargs === (;)
         # Default handling for SArrays in LinearSolve is not great. Some parts are patched

src/trustRegion.jl

@@ -186,15 +186,21 @@ end
                          AbstractNonlinearSolveCache{iip}
     f
     alg
-    u_prev
     u
-    fu_prev
+    u_cache
+    u_cache_2
     fu
-    fu2
+    fu_cache
+    fu_cache_2
+    du
+    u_gauss_newton
+    u_cauchy
+    J
+    JᵀJ
+    Jᵀf
     p
     uf
     linsolve
-    J
     jac_cache
     force_stop::Bool
     maxiters::Int
@@ -213,14 +219,7 @@ end
     expand_factor::trustType
     loss::floatType
     loss_new::floatType
-    H
-    g
     shrink_counter::Int
-    du
-    u_tmp
-    u_gauss_newton
-    u_cauchy
-    fu_new
     make_new_J::Bool
     r::floatType
     p1::floatType
@@ -240,24 +239,22 @@ function SciMLBase.__init(prob::NonlinearProblem{uType, iip}, alg_::TrustRegion,
         linsolve_kwargs = (;), kwargs...) where {uType, iip}
     alg = get_concrete_algorithm(alg_, prob)
     @unpack f, u0, p = prob
-    u = alias_u0 ? u0 : deepcopy(u0)
-    u_prev = zero(u)
-    fu1 = evaluate_f(prob, u)
-    fu_prev = zero(fu1)
+    u = __mabe_unaliased(u0, alias_u0)
+    @bb u_cache = similar(u)
+    @bb u_cache_2 = similar(u)
+    fu = evaluate_f(prob, u)
+    @bb fu_cache_2 = similar(fu)
 
-    loss = __get_trust_region_loss(fu1)
-    uf, _, J, fu2, jac_cache, du, H, g = jacobian_caches(alg, f, u, p, Val(iip);
-        linsolve_kwargs, linsolve_with_JᵀJ = Val(true), lininit = Val(false))
-    g = _restructure(fu1, g)
-    linsolve = u isa Number ? nothing : linsolve_caches(J, fu2, du, p, alg)
+    loss = __get_trust_region_loss(fu)
+    uf, _, J, fu_cache, jac_cache, du, JᵀJ, Jᵀf = jacobian_caches(alg, f, u, p, Val(iip);
+        linsolve_with_JᵀJ = Val(true), lininit = Val(false))
+    linsolve = linsolve_caches(J, fu, du, p, alg)
 
-    u_tmp = zero(u)
-    u_cauchy = zero(u)
-    u_gauss_newton = _mutable_zero(u)
+    @bb u_cauchy = similar(u)
+    @bb u_gauss_newton = similar(u)
 
     loss_new = loss
     shrink_counter = 0
-    fu_new = zero(fu1)
     make_new_J = true
     r = loss
 
@@ -342,12 +339,13 @@ function SciMLBase.__init(prob::NonlinearProblem{uType, iip}, alg_::TrustRegion,
         termination_condition)
     trace = init_nonlinearsolve_trace(alg, u, fu1, ApplyArray(__zero, J), du; kwargs...)
 
-    return TrustRegionCache{iip}(f, alg, u_prev, u, fu_prev, fu1, fu2, p, uf, linsolve, J,
-        jac_cache, false, maxiters, internalnorm, ReturnCode.Default, abstol, reltol, prob,
+    return TrustRegionCache{iip}(f, alg, u, u_cache, u_cache_2, fu, fu_cache, fu_cache_2,
+        du, u_gauss_newton, u_cauchy, J, JᵀJ, Jᵀf, p, uf, linsolve, jac_cache, false,
+        maxiters, internalnorm, ReturnCode.Default, abstol, reltol, prob,
         radius_update_scheme, initial_trust_radius, max_trust_radius, step_threshold,
         shrink_threshold, expand_threshold, shrink_factor, expand_factor, loss, loss_new,
-        H, g, shrink_counter, du, u_tmp, u_gauss_newton, u_cauchy, fu_new, make_new_J, r,
-        p1, p2, p3, p4, ϵ, NLStats(1, 0, 0, 0, 0), tc_cache, trace)
+        shrink_counter, make_new_J, r, p1, p2, p3, p4, ϵ, NLStats(1, 0, 0, 0, 0), tc_cache,
+        trace)
 end
 
 function perform_step!(cache::TrustRegionCache{iip}) where {iip}
@@ -458,7 +456,8 @@ function trust_region_step!(cache::TrustRegionCache)
             cache.shrink_counter += 1
         else
             cache.shrink_counter = 0
-            if r ≥ cache.expand_threshold && 2 * cache.internalnorm(cache.du) > cache.trust_r
+            if r ≥ cache.expand_threshold &&
+               2 * cache.internalnorm(cache.du) > cache.trust_r
                 cache.p1 = cache.p3 * cache.p1
             end
         end