Update varValsAll_ref branch with latest master

.github/workflows/ci.yml

@@ -17,7 +17,7 @@ jobs:
       fail-fast: false
       matrix:
         version:
-          - '1.8'
+          - '1.9'
         os:
           - ubuntu-latest
         arch:
@@ -55,7 +55,7 @@ jobs:
         arch: 
           - x64
         version:
-          - '~1.9.0-0'
+          - '1.9'
         group:
           - 'basic_functional_group'
     steps:
@@ -97,7 +97,7 @@ jobs:
         arch: 
           - x64
         version:
-          - '1.8'
+          - '1.9'
         group:
           - 'test_cases_group'
     steps:
@@ -140,7 +140,7 @@ jobs:
         os:
           - ubuntu-latest
         version:
-          - '1.8'
+          - '1.9'
         arch:
           - x64
         group:

Project.toml

@@ -2,7 +2,7 @@ name = "IncrementalInference"
 uuid = "904591bb-b899-562f-9e6f-b8df64c7d480"
 keywords = ["MM-iSAMv2", "Bayes tree", "junction tree", "Bayes network", "variable elimination", "graphical models", "SLAM", "inference", "sum-product", "belief-propagation"]
 desc = "Implements the Multimodal-iSAMv2 algorithm."
-version = "0.33.0"
+version = "0.34.0"
 
 [deps]
 ApproxManifoldProducts = "9bbbb610-88a1-53cd-9763-118ce10c1f89"
@@ -31,12 +31,12 @@ NLSolversBase = "d41bc354-129a-5804-8e4c-c37616107c6c"
 NLsolve = "2774e3e8-f4cf-5e23-947b-6d7e65073b56"
 Optim = "429524aa-4258-5aef-a3af-852621145aeb"
 OrderedCollections = "bac558e1-5e72-5ebc-8fee-abe8a469f55d"
+PrecompileTools = "aea7be01-6a6a-4083-8856-8a6e6704d82a"
 ProgressMeter = "92933f4c-e287-5a05-a399-4b506db050ca"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 RecursiveArrayTools = "731186ca-8d62-57ce-b412-fbd966d074cd"
 Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
 Requires = "ae029012-a4dd-5104-9daa-d747884805df"
-PrecompileTools = "aea7be01-6a6a-4083-8856-8a6e6704d82a"
 SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
 StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
@@ -48,7 +48,7 @@ TimeZones = "f269a46b-ccf7-5d73-abea-4c690281aa53"
 UUIDs = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"
 
 [compat]
-ApproxManifoldProducts = "0.6.3, 0.7"
+ApproxManifoldProducts = "0.7"
 BSON = "0.2, 0.3"
 Combinatorics = "1.0"
 DataStructures = "0.16, 0.17, 0.18"
@@ -68,13 +68,13 @@ NLSolversBase = "7.6"
 NLsolve = "3, 4"
 Optim = "1"
 OrderedCollections = "1"
+PrecompileTools = "1"
 ProgressMeter = "1"
 RecursiveArrayTools = "2.31.1"
 Reexport = "1"
 Requires = "1"
-PrecompileTools = "1"
 StaticArrays = "1"
-StatsBase = "0.32, 0.33"
+StatsBase = "0.32, 0.33, 0.34"
 StructTypes = "1"
 TensorCast = "0.3.3, 0.4"
 TimeZones = "1.3.1"

src/ManifoldsExtentions.jl

@@ -144,5 +144,5 @@ function getPointIdentity(
 end
 
 function getPointIdentity(G::RealCircleGroup, ::Type{T} = Float64) where {T <: Real}
-  return zero(T)
+  return [zero(T)] #FIXME we cannot support scalars yet
 end

src/services/NumericalCalculations.jl

@@ -424,14 +424,19 @@ function _solveCCWNumeric!(
   islen1 = length(ccwl.partialDims) == 1 || ccwl.partial
   # islen1 = length(cpt_.X[:, smpid]) == 1 || ccwl.partial
 
+  if ccwl.partial
+    target = view(ccwl.varValsAll[ccwl.varidx[]][smpid], ccwl.partialDims)
+  else
+    target = ccwl.varValsAll[ccwl.varidx[]][smpid];
+  end
   # build the pre-objective function for this sample's hypothesis selection
-  unrollHypo!, target = _buildCalcFactorLambdaSample(
-    destVarVals,
-    ccwl, 
-    smpid, 
-    view(destVarVals, smpid), # SUPER IMPORTANT, this `target` is mem pointer that will be updated by optim library
-    ccwl.measurement,
-    _slack,
+  unrollHypo!, _ = _buildCalcFactorLambdaSample(
+      destVarVals,
+      ccwl, 
+      smpid, 
+      target,
+      # ccwl.measurement,
+      _slack,
   )
 
 
@@ -440,8 +445,7 @@ function _solveCCWNumeric!(
 
   # _hypoObj = (x) -> (target[] = x; unrollHypo!())
   function _hypoObj(x)
-    # for partials we are relying on optim / manopt to not fiddle with unconstrained partial dims (thanks to zero gradients)
-    target[] = x
+    copyto!(target, x)
     return unrollHypo!()
   end
 
@@ -450,7 +454,13 @@ function _solveCCWNumeric!(
   # target .+= _perturbIfNecessary(getFactorType(ccwl), length(target), perturb)
   sfidx = ccwl.varidx[]
   # do the parameter search over defined decision variables using Minimization
-  X = destVarVals[smpid]#[ccwl.partialDims]
+  if ccwl.partial
+    X = collect(view(ccwl.varValsAll[sfidx][smpid], ccwl.partialDims))
+  else
+    X = ccwl.varValsAll[sfidx][smpid][ccwl.partialDims]
+  end
+  # X = destVarVals[smpid]#[ccwl.partialDims]
+
   retval = _solveLambdaNumeric(
     getFactorType(ccwl), 
     _hypoObj, 
@@ -466,7 +476,12 @@ function _solveCCWNumeric!(
   end
 
   # insert result back at the correct variable element location
-  copyto!(destVarVals[smpid][ccwl.partialDims], retval)
+  if ccwl.partial
+    ccwl.varValsAll[sfidx][smpid][ccwl.partialDims] .= retval
+  else
+    # copyto!(ccwl.varValsAll[sfidx][smpid], retval)
+    copyto!(destVarVals[smpid][ccwl.partialDims], retval)
+  end
 
   return nothing
 end

test/testSpecialEuclidean2Mani.jl

@@ -331,7 +331,7 @@ end
 
 @testset "test propagateBelief w HeatmapSampler and init for PartialPriorPassThrough w Priors" begin
 ##
-
+@test_broken begin
 fg = initfg()
 
 v0 = addVariable!(fg, :x0, SpecialEuclidean2)
@@ -426,6 +426,9 @@ saveDFG("/tmp/passthru", fg)
 fg_ = loadDFG("/tmp/passthru.tar.gz")
 Base.rm("/tmp/passthru.tar.gz")
 
+@error "#FIXME test propagateBelief w HeatmapSampler ... broken on ci but not local"
+return true
+end
 
 ##
 end