N-2 test and force ADMM convergence

* Add N-2 test and force no block model iteration limits exceeded for convergence
* EmptyBlockModel always returns solution status MOI.Optimal

Artifacts.toml

@@ -1,6 +1,6 @@
 [ExaData]
-git-tree-sha1 = "df547b1e5d707fdb88721eee9bf84f9211e1fb50"
+git-tree-sha1 = "882112a441efaa242000181b177c4005b190a4c1"
 lazy = true
     [[ExaData.download]]
-    url = "https://web.cels.anl.gov/~mschanen/ExaData-e1b6123.tar.gz"
-    sha256 = "f6e22f26fbf273e97625a25b1b55f07d0eb0e15283483c545dda6eda84c48fdd"
+    url = "https://web.cels.anl.gov/~mschanen/ExaData-4747d0f.tar.gz"
+    sha256 = "6d929aa12f3841c0fb14100effff42bc5edffd7602afb4844e80996f033c3fc8"

src/Evaluators/ProxALEvalutor.jl

@@ -400,13 +400,22 @@ function optimize!(
         iteration()
 
         # Check convergence
-        if max(
+        iteration_limit = 0
+        for blk in opfBlockData.blkModel
+            solution = get_solution(blk)
+            if solution.status ∉ MOI_OPTIMAL_STATUSES
+                iteration_limit = 1
+            end
+        end
+        giteration_limit = comm_sum(iteration_limit, comm)
+
+        if (max(
             runinfo.maxviol_t[end],
             runinfo.maxviol_c[end],
             runinfo.maxviol_t_actual[end],
             runinfo.maxviol_c_actual[end],
             runinfo.maxviol_d[end]
-        ) <= algparams.tol
+        ) <= algparams.tol) && (giteration_limit == 0)
         # minviol = max(
         #     runinfo.maxviol_t[end],
         #     runinfo.maxviol_c[end],

src/backends.jl

@@ -112,7 +112,13 @@ function init!(block::EmptyBlockModel, algparams::AlgParams) end
 function set_objective!(block::EmptyBlockModel, algparams::AlgParams,
                         primal::AbstractPrimalSolution, dual::AbstractDualSolution)
 end
-function get_solution(block::EmptyBlockModel) end
+function get_solution(block::EmptyBlockModel)
+    # Empty block is always optimal
+    solution = (
+        status=MOI.OPTIMAL,
+    )
+    return solution
+end
 
 ### Implementation of JuMPBlockBackend
 struct JuMPBlockBackend <: AbstractBlockModel
@@ -768,9 +774,9 @@ function get_solution(block::AdmmBlockBackend)
     k = block.k
     t = block.t
 
-    if status ∉ MOI_OPTIMAL_STATUSES
-        @warn("Block $blk[$k, $t] subproblem not solved to optimality. status: $status")
-    end
+    # if status ∉ MOI_OPTIMAL_STATUSES
+    #     @warn("Block $blk[$k, $t] subproblem not solved to optimality. status: $status")
+    # end
 
     s = ExaAdmmBackend.slack_values(model) |> Array
     solution = (

src/communication.jl

@@ -168,11 +168,11 @@ end
 Collective to reduce and return the sum over scalar `data`.
 
 """
-function comm_sum(data::Float64, comm::MPI.Comm)
+function comm_sum(data::Number, comm::MPI.Comm)
     return MPI.Allreduce(data, MPI.SUM, comm)
 end
 
-function comm_sum(data::Float64, comm::Nothing)
+function comm_sum(data::Number, comm::Nothing)
     return data
 end