autospecialize rather than full specialize by default for the various NonlinearProblems

src/problems/basic_problems.jl

@@ -164,7 +164,7 @@
     This is determined automatically, but not inferred.
     """
     function IntervalNonlinearProblem{iip}(f, tspan, p = NullParameters()) where {iip}
-        IntervalNonlinearProblem{iip}(IntervalNonlinearFunction{iip}(f), tspan, p)
+        IntervalNonlinearProblem{iip}(IntervalNonlinearFunction{iip, DEFAULT_SPECIALIZATION}(f), tspan, p)
     end
 end
 
@@ -180,7 +180,8 @@
 end
 
 function IntervalNonlinearProblem(f, tspan, p = NullParameters(); kwargs...)
-    IntervalNonlinearProblem(IntervalNonlinearFunction(f), tspan, p; kwargs...)
+    iip = isinplace(f, 3)
+    IntervalNonlinearProblem(IntervalNonlinearFunction{iip, DEFAULT_SPECIALIZATION}(f), tspan, p; kwargs...)
 end
 
 @doc doc"""
@@ -262,7 +263,7 @@
     This is determined automatically, but not inferred.
     """
     function NonlinearProblem{iip}(f, u0, p = NullParameters(); kwargs...) where {iip}
-        NonlinearProblem{iip}(NonlinearFunction{iip}(f), u0, p; kwargs...)
+        NonlinearProblem{iip}(NonlinearFunction{iip, DEFAULT_SPECIALIZATION}(f), u0, p; kwargs...)
     end
 end
 
@@ -277,7 +278,8 @@
 end
 
 function NonlinearProblem(f, u0, p = NullParameters(); kwargs...)
-    NonlinearProblem(NonlinearFunction(f), u0, p; kwargs...)
+    iip = isinplace(f, 3)
+    NonlinearProblem(NonlinearFunction{iip, DEFAULT_SPECIALIZATION}(f), u0, p; kwargs...)
 end
 
 """
@@ -372,7 +374,7 @@
     end
 
     function NonlinearLeastSquaresProblem{iip}(f, u0, p = NullParameters()) where {iip}
-        return NonlinearLeastSquaresProblem{iip}(NonlinearFunction{iip}(f), u0, p)
+        return NonlinearLeastSquaresProblem{iip}(NonlinearFunction{iip, DEFAULT_SPECIALIZATION}(f), u0, p)
     end
 end
 
@@ -388,7 +390,8 @@
 end
 
 function NonlinearLeastSquaresProblem(f, u0, p = NullParameters(); kwargs...)
-    return NonlinearLeastSquaresProblem(NonlinearFunction(f), u0, p; kwargs...)
+    iip = isinplace(f, 3)
+    return NonlinearLeastSquaresProblem(NonlinearFunction{iip, DEFAULT_SPECIALIZATION}(f), u0, p; kwargs...)
 end
 
 @doc doc"""