Bose

src/PIM/Conversion/ONNXToSpatial/Common/ShapeTilingUtils.cpp

@@ -163,6 +163,38 @@ Value extractAxisSlice(
     .getResult();
 }
 
+Value extractStaticSliceOrIdentity(RewriterBase& rewriter,
+                                   Location loc,
+                                   Value source,
+                                   RankedTensorType resultType,
+                                   ArrayRef<OpFoldResult> offsets,
+                                   ArrayRef<OpFoldResult> sizes,
+                                   ArrayRef<OpFoldResult> strides) {
+  auto sourceType = cast<RankedTensorType>(source.getType());
+  size_t rank = static_cast<size_t>(sourceType.getRank());
+
+  bool isIdentitySlice =
+    sourceType == resultType && sourceType.hasStaticShape() && offsets.size() == rank && sizes.size() == rank
+    && strides.size() == rank;
+  if (isIdentitySlice) {
+    ArrayRef<int64_t> sourceShape = sourceType.getShape();
+    for (auto [dim, offset, size, stride] : llvm::zip_equal(sourceShape, offsets, sizes, strides)) {
+      std::optional<int64_t> staticOffset = mlir::getConstantIntValue(offset);
+      std::optional<int64_t> staticSize = mlir::getConstantIntValue(size);
+      std::optional<int64_t> staticStride = mlir::getConstantIntValue(stride);
+      if (!staticOffset || !staticSize || !staticStride || *staticOffset != 0 || *staticSize != dim || *staticStride != 1) {
+        isIdentitySlice = false;
+        break;
+      }
+    }
+  }
+
+  if (isIdentitySlice)
+    return source;
+
+  return tensor::ExtractSliceOp::create(rewriter, loc, resultType, source, offsets, sizes, strides).getResult();
+}
+
 Value insertStaticSlice(
   PatternRewriter& rewriter, Location loc, Value source, Value dest, ArrayRef<OpFoldResult> offsets) {
   auto sourceType = cast<RankedTensorType>(source.getType());

src/PIM/Conversion/ONNXToSpatial/Common/ShapeTilingUtils.hpp

@@ -105,6 +105,14 @@ llvm::DenseMap<CoreId, llvm::SmallVector<mlir::Value>> sliceVectorPerCrossbarPer
 mlir::Value extractAxisSlice(
   mlir::PatternRewriter& rewriter, mlir::Location loc, mlir::Value source, int64_t axis, int64_t offset, int64_t size);
 
+mlir::Value extractStaticSliceOrIdentity(mlir::RewriterBase& rewriter,
+                                         mlir::Location loc,
+                                         mlir::Value source,
+                                         mlir::RankedTensorType resultType,
+                                         llvm::ArrayRef<mlir::OpFoldResult> offsets,
+                                         llvm::ArrayRef<mlir::OpFoldResult> sizes,
+                                         llvm::ArrayRef<mlir::OpFoldResult> strides);
+
 mlir::Value insertStaticSlice(mlir::PatternRewriter& rewriter,
                               mlir::Location loc,
                               mlir::Value source,

src/PIM/Conversion/ONNXToSpatial/LowerSpatialPlansPass.cpp

@@ -44,17 +44,17 @@ static FailureOr<RowStripPhysicalValue> getRowStripValue(llvm::DenseMap<Value, R
   return it->second;
 }
 
-static FailureOr<RowStripPhysicalValue> buildRowStripValue(spatial::SpatReconciliatorOp reconciliator,
+static FailureOr<RowStripPhysicalValue> buildRowStripValue(spatial::SpatBlueprintOp blueprint,
                                                            Value physicalValue) {
-  auto logicalType = dyn_cast<RankedTensorType>(reconciliator.getOutput().getType());
+  auto logicalType = dyn_cast<RankedTensorType>(blueprint.getOutput().getType());
   if (!logicalType)
-    return reconciliator.emitOpError("requires ranked logical output type"), failure();
+    return blueprint.emitOpError("requires ranked logical output type"), failure();
   RowStripPhysicalValue value;
   value.physicalValue = physicalValue;
   value.logicalType = logicalType;
-  value.fragmentOffsets.append(reconciliator.getFragmentOffsets().begin(), reconciliator.getFragmentOffsets().end());
-  value.fragmentSizes.append(reconciliator.getFragmentSizes().begin(), reconciliator.getFragmentSizes().end());
-  value.indexMap = reconciliator.getIndexMap().str();
+  value.fragmentOffsets.append(blueprint.getFragmentOffsets().begin(), blueprint.getFragmentOffsets().end());
+  value.fragmentSizes.append(blueprint.getFragmentSizes().begin(), blueprint.getFragmentSizes().end());
+  value.indexMap = blueprint.getIndexMap().str();
   return value;
 }
 
@@ -175,7 +175,7 @@ struct LowerSpatialPlansPass final : PassWrapper<LowerSpatialPlansPass, Operatio
     auto verifyLogicalPhase = [&](StringRef stage) -> bool {
       if (succeeded(verifyLogicalSpatialGraphInvariants(*entryFunc)))
         return true;
-      moduleOp.emitError() << "RAPTOR_PHASE_CHECK logical Spatial graph verification failed " << stage;
+      moduleOp.emitError() << "logical Spatial graph verification failed " << stage;
       signalPassFailure();
       return false;
     };
@@ -185,11 +185,11 @@ struct LowerSpatialPlansPass final : PassWrapper<LowerSpatialPlansPass, Operatio
     for (Operation& op : llvm::make_early_inc_range(funcOp.getBody().front())) {
       if (auto planOp = dyn_cast<spatial::SpatConv2DPlanOp>(&op)) {
         FailureOr<RowStripPhysicalValue> rowStripInput = getRowStripValue(rowStripValues, planOp.getInput());
-        auto rowStripReconciliator = llvm::find_if(planOp.getResult().getUsers(), [](Operation* user) {
-          auto reconciliator = dyn_cast<spatial::SpatReconciliatorOp>(user);
-          return reconciliator && reconciliator.getPhysicalLayout() == kRowStripLayout;
+        auto rowStripBlueprint = llvm::find_if(planOp.getResult().getUsers(), [](Operation* user) {
+          auto blueprint = dyn_cast<spatial::SpatBlueprintOp>(user);
+          return blueprint && blueprint.getPhysicalLayout() == kRowStripLayout;
         });
-        if (rowStripReconciliator != planOp.getResult().getUsers().end()) {
+        if (rowStripBlueprint != planOp.getResult().getUsers().end()) {
           rewriter.setInsertionPoint(planOp);
           FailureOr<Value> lowered = lowerSelectedConv2DPlan(
             planOp,
@@ -201,15 +201,15 @@ struct LowerSpatialPlansPass final : PassWrapper<LowerSpatialPlansPass, Operatio
             signalPassFailure();
             return;
           }
-          auto reconciliator = cast<spatial::SpatReconciliatorOp>(*rowStripReconciliator);
-          FailureOr<RowStripPhysicalValue> rowStripValue = buildRowStripValue(reconciliator, *lowered);
+          auto blueprint = cast<spatial::SpatBlueprintOp>(*rowStripBlueprint);
+          FailureOr<RowStripPhysicalValue> rowStripValue = buildRowStripValue(blueprint, *lowered);
           if (failed(rowStripValue)) {
             signalPassFailure();
             return;
           }
-          rowStripValues[reconciliator.getResult()] = *rowStripValue;
+          rowStripValues[blueprint.getResult()] = *rowStripValue;
           eraseAfterLowering.insert(planOp);
-          eraseAfterLowering.insert(reconciliator);
+          eraseAfterLowering.insert(blueprint);
           continue;
         }
         rewriter.setInsertionPoint(planOp);
@@ -226,12 +226,12 @@ struct LowerSpatialPlansPass final : PassWrapper<LowerSpatialPlansPass, Operatio
 
       if (auto planOp = dyn_cast<spatial::SpatReluPlanOp>(&op)) {
         if (succeeded(getRowStripValue(rowStripValues, planOp.getInput()))) {
-          auto outputReconciliator = llvm::find_if(planOp.getResult().getUsers(), [](Operation* user) {
-            auto reconciliator = dyn_cast<spatial::SpatReconciliatorOp>(user);
-            return reconciliator && reconciliator.getPhysicalLayout() == kRowStripLayout;
+          auto outputBlueprint = llvm::find_if(planOp.getResult().getUsers(), [](Operation* user) {
+            auto blueprint = dyn_cast<spatial::SpatBlueprintOp>(user);
+            return blueprint && blueprint.getPhysicalLayout() == kRowStripLayout;
           });
-          if (outputReconciliator == planOp.getResult().getUsers().end()) {
-            planOp.emitOpError("row-strip Relu plan requires a row-strip reconciliator result");
+          if (outputBlueprint == planOp.getResult().getUsers().end()) {
+            planOp.emitOpError("row-strip Relu plan requires a row-strip blueprint result");
             signalPassFailure();
             return;
           }
@@ -244,15 +244,15 @@ struct LowerSpatialPlansPass final : PassWrapper<LowerSpatialPlansPass, Operatio
             signalPassFailure();
             return;
           }
-          auto reconciliator = cast<spatial::SpatReconciliatorOp>(*outputReconciliator);
-          FailureOr<RowStripPhysicalValue> output = buildRowStripValue(reconciliator, *lowered);
+          auto blueprint = cast<spatial::SpatBlueprintOp>(*outputBlueprint);
+          FailureOr<RowStripPhysicalValue> output = buildRowStripValue(blueprint, *lowered);
           if (failed(output)) {
             signalPassFailure();
             return;
           }
-          rowStripValues[reconciliator.getResult()] = *output;
+          rowStripValues[blueprint.getResult()] = *output;
           eraseAfterLowering.insert(planOp);
-          eraseAfterLowering.insert(reconciliator);
+          eraseAfterLowering.insert(blueprint);
           continue;
         }
 
@@ -279,7 +279,7 @@ struct LowerSpatialPlansPass final : PassWrapper<LowerSpatialPlansPass, Operatio
         }
         FailureOr<RowStripPhysicalValue> rowStripValue = getRowStripValue(rowStripValues, materializeOp.getInput());
         if (failed(rowStripValue)) {
-          materializeOp.emitOpError("expected a row-strip reconciliator input during row-strip materialization");
+          materializeOp.emitOpError("expected a row-strip blueprint input during row-strip materialization");
           signalPassFailure();
           return;
         }
@@ -293,18 +293,18 @@ struct LowerSpatialPlansPass final : PassWrapper<LowerSpatialPlansPass, Operatio
         rewriter.replaceOp(materializeOp, *dense);
         continue;
       }
-      if (auto reconciliatorOp = dyn_cast<spatial::SpatReconciliatorOp>(&op)) {
-        if (reconciliatorOp.getPhysicalLayout() == kDenseLayout) {
-          rewriter.replaceOp(reconciliatorOp, reconciliatorOp.getInput());
+      if (auto blueprintOp = dyn_cast<spatial::SpatBlueprintOp>(&op)) {
+        if (blueprintOp.getPhysicalLayout() == kDenseLayout) {
+          rewriter.replaceOp(blueprintOp, blueprintOp.getInput());
           continue;
         }
-        if (reconciliatorOp.getPhysicalLayout() != kRowStripLayout) {
-          reconciliatorOp.emitOpError("non-dense reconciliator lowering is not supported yet");
+        if (blueprintOp.getPhysicalLayout() != kRowStripLayout) {
+          blueprintOp.emitOpError("non-dense blueprint lowering is not supported yet");
           signalPassFailure();
           return;
         }
-        if (!eraseAfterLowering.contains(reconciliatorOp)) {
-          reconciliatorOp.emitOpError("unhandled row-strip reconciliator remained during LowerSpatialPlans");
+        if (!eraseAfterLowering.contains(blueprintOp)) {
+          blueprintOp.emitOpError("unhandled row-strip blueprint remained during LowerSpatialPlans");
           signalPassFailure();
           return;
         }
@@ -385,7 +385,7 @@ struct LowerSpatialPlansPass final : PassWrapper<LowerSpatialPlansPass, Operatio
         return;
       if (isa<spatial::SpatConv2DPlanOp,
               spatial::SpatReluPlanOp,
-              spatial::SpatReconciliatorOp,
+              spatial::SpatBlueprintOp,
               spatial::SpatMaterializeLayoutOp>(op)
           || op->getDialect()->getNamespace() == "onnx") {
         op->emitOpError("operation must not remain after LowerSpatialPlans");

src/PIM/Conversion/ONNXToSpatial/ONNXToSpatialPass.cpp

@@ -46,9 +46,9 @@ static void populateEmptyFunction(func::FuncOp funcOp) {
   SmallVector<spatial::SpatGraphComputeBatch> computeBatches(funcOp.getOps<spatial::SpatGraphComputeBatch>());
   SmallVector<spatial::SpatConv2DPlanOp> convPlans(funcOp.getOps<spatial::SpatConv2DPlanOp>());
   SmallVector<spatial::SpatReluPlanOp> reluPlans(funcOp.getOps<spatial::SpatReluPlanOp>());
-  SmallVector<spatial::SpatReconciliatorOp> reconciliators(funcOp.getOps<spatial::SpatReconciliatorOp>());
+  SmallVector<spatial::SpatBlueprintOp> blueprints(funcOp.getOps<spatial::SpatBlueprintOp>());
   SmallVector<spatial::SpatMaterializeLayoutOp> materializers(funcOp.getOps<spatial::SpatMaterializeLayoutOp>());
-  if (!computes.empty() || !computeBatches.empty() || !convPlans.empty() || !reluPlans.empty() || !reconciliators.empty()
+  if (!computes.empty() || !computeBatches.empty() || !convPlans.empty() || !reluPlans.empty() || !blueprints.empty()
       || !materializers.empty()) {
     return;
   }
@@ -160,7 +160,7 @@ void ONNXToSpatialPass::runOnOperation() {
   }
 
     if (failed(verifyLogicalSpatialGraphInvariants(*entryFunc))) {
-      moduleOp.emitError("RAPTOR_PHASE_CHECK logical Spatial graph verification failed after ONNX conversion");
+      moduleOp.emitError("logical Spatial graph verification failed after ONNX conversion");
       signalPassFailure();
       return;
     }
@@ -181,7 +181,7 @@ void ONNXToSpatialPass::runOnOperation() {
   annotateWeightsConstants(*entryFunc);
 
     if (failed(verifyLogicalSpatialGraphInvariants(*entryFunc))) {
-      moduleOp.emitError("RAPTOR_PHASE_CHECK logical Spatial graph verification failed after weight annotation");
+      moduleOp.emitError("logical Spatial graph verification failed after weight annotation");
       signalPassFailure();
       return;
     }
@@ -199,7 +199,7 @@ void ONNXToSpatialPass::runOnOperation() {
     [](spatial::SpatGraphComputeBatch computeOp) { return !requiresPostRewrite(computeOp); });
 
     if (failed(verifyLogicalSpatialGraphInvariants(*entryFunc))) {
-      moduleOp.emitError("RAPTOR_PHASE_CHECK logical Spatial graph verification failed before post rewrites");
+      moduleOp.emitError("logical Spatial graph verification failed before post rewrites");
       signalPassFailure();
       return;
     }
@@ -214,7 +214,7 @@ void ONNXToSpatialPass::runOnOperation() {
   populateEmptyFunction(*entryFunc);
 
     if (failed(verifyLogicalSpatialGraphInvariants(*entryFunc))) {
-      moduleOp.emitError("RAPTOR_PHASE_CHECK logical Spatial graph verification failed after ONNX-to-Spatial");
+      moduleOp.emitError("logical Spatial graph verification failed after ONNX-to-Spatial");
       signalPassFailure();
       return;
     }

src/PIM/Conversion/ONNXToSpatial/ONNXToSpatialVerifier.cpp

@@ -15,7 +15,7 @@ namespace onnx_mlir {
 
 namespace {
 
-constexpr StringLiteral kPhaseMarker = "RAPTOR_PHASE_CHECK";
+constexpr StringLiteral kPhaseMarker = "phase-check";
 
 void checkWeightUseChains(func::FuncOp func, pim::CappedDiagnosticReporter& diagnostics) {
   func.walk([&](Operation* op) {
@@ -114,14 +114,14 @@ void verifyScheduledInputs(ComputeOpTy compute,
 }
 
 template <typename ComputeOpTy>
-void verifyNoNestedFragmentAssemblyReconciliators(ComputeOpTy compute,
+void verifyNoNestedFragmentAssemblyBlueprints(ComputeOpTy compute,
                                                   pim::CappedDiagnosticReporter& diagnostics) {
-  compute.getBody().walk([&](spatial::SpatReconciliatorOp reconciliator) {
-    std::optional<StringRef> mode = reconciliator.getMode();
+  compute.getBody().walk([&](spatial::SpatBlueprintOp blueprint) {
+    std::optional<StringRef> mode = blueprint.getMode();
     if (!mode || *mode != "fragment_assembly")
       return;
-    diagnostics.report(reconciliator.getOperation(), [&](Operation* illegalOp) {
-      illegalOp->emitOpError("fragment assembly reconciliator must be host-level after merge materialization");
+    diagnostics.report(blueprint.getOperation(), [&](Operation* illegalOp) {
+      illegalOp->emitOpError("fragment assembly blueprint must be host-level after merge materialization");
     });
   });
 }
@@ -133,7 +133,7 @@ void verifyLogicalTopLevelOps(func::FuncOp funcOp, pim::CappedDiagnosticReporter
             spatial::SpatGraphComputeBatch,
             spatial::SpatConv2DPlanOp,
             spatial::SpatReluPlanOp,
-            spatial::SpatReconciliatorOp,
+            spatial::SpatBlueprintOp,
             spatial::SpatMaterializeLayoutOp>(&op)) {
       continue;
     }
@@ -203,11 +203,11 @@ LogicalResult verifyScheduledSpatialInvariants(func::FuncOp funcOp) {
   verifyScheduledTopLevelOps(funcOp, diagnostics);
   for (auto compute : funcOp.getOps<spatial::SpatScheduledCompute>()) {
     verifyScheduledInputs(compute, /*allowChannelReceiveInputs=*/true, "spat.scheduled_compute", diagnostics);
-    verifyNoNestedFragmentAssemblyReconciliators(compute, diagnostics);
+    verifyNoNestedFragmentAssemblyBlueprints(compute, diagnostics);
   }
   for (auto batch : funcOp.getOps<spatial::SpatScheduledComputeBatch>()) {
     verifyScheduledInputs(batch, /*allowChannelReceiveInputs=*/false, "spat.scheduled_compute_batch", diagnostics);
-    verifyNoNestedFragmentAssemblyReconciliators(batch, diagnostics);
+    verifyNoNestedFragmentAssemblyBlueprints(batch, diagnostics);
   }
   if (failed(verifyNoComputeBodyCaptures(funcOp)))
     return failure();

src/PIM/Conversion/ONNXToSpatial/Patterns/Math/Conv.cpp

@@ -2242,8 +2242,8 @@ static FailureOr<Value> rewriteInputKTiledConv(const ConvLoweringState& state,
                     rewriter, reduceLoc, paddedRowType, paddedPatchRow, aOffsets, aSizes, unitStrides);
                   SmallVector<OpFoldResult> bOffsets {kOffset, rewriter.getIndexAttr(0)};
                   SmallVector<OpFoldResult> bSizes {rewriter.getIndexAttr(xbarDim), rewriter.getIndexAttr(xbarDim)};
-                  Value bTile = tensor::ExtractSliceOp::create(
-                    rewriter, reduceLoc, weightTileType, weightArg, bOffsets, bSizes, unitStrides);
+                  Value bTile = extractStaticSliceOrIdentity(
+                    rewriter, reduceLoc, weightArg, weightTileType, bOffsets, bSizes, unitStrides);
                   Value piece = spatial::SpatVMMOp::create(rewriter, reduceLoc, paddedRowType, bTile, aTile).getResult();
                   reduceYielded.push_back(
                     spatial::SpatVAddOp::create(rewriter, reduceLoc, paddedRowType, acc, piece).getResult());
@@ -2912,8 +2912,13 @@ static FailureOr<Value> createConvOutputFromRowStripHwc(Value inputHwc,
                 rewriter, reduceLoc, paddedRowType, paddedRow, aOffsets, aSizes, getUnitStrides(rewriter, 2));
               SmallVector<OpFoldResult> bOffsets {kOffset, rewriter.getIndexAttr(0)};
               SmallVector<OpFoldResult> bSizes {rewriter.getIndexAttr(xbarDim), rewriter.getIndexAttr(xbarDim)};
-              Value bTile = tensor::ExtractSliceOp::create(
-                rewriter, reduceLoc, paddedWeightTileType, args.weights.front(), bOffsets, bSizes, getUnitStrides(rewriter, 2));
+              Value bTile = extractStaticSliceOrIdentity(rewriter,
+                                                         reduceLoc,
+                                                         args.weights.front(),
+                                                         paddedWeightTileType,
+                                                         bOffsets,
+                                                         bSizes,
+                                                         getUnitStrides(rewriter, 2));
               Value piece = spatial::SpatVMMOp::create(rewriter, reduceLoc, paddedRowType, bTile, aTile).getResult();
               reduceYielded.push_back(
                 spatial::SpatVAddOp::create(rewriter, reduceLoc, paddedRowType, reduceIterArgs.front(), piece).getResult());

src/PIM/Conversion/ONNXToSpatial/Patterns/Math/Gemm.cpp

@@ -285,9 +285,8 @@ static FailureOr<spatial::SpatComputeBatch> createVmmBatch(Value a,
       SmallVector<OpFoldResult> bSizes {rewriter.getIndexAttr(crossbarSize.getValue()),
                                         rewriter.getIndexAttr(crossbarSize.getValue())};
       SmallVector<OpFoldResult> unitStrides = getUnitStrides(rewriter, 2);
-      Value bTile =
-        tensor::ExtractSliceOp::create(rewriter, loc, bTileType, args.weights.front(), bOffsets, bSizes, unitStrides)
-          .getResult();
+      Value bTile = extractStaticSliceOrIdentity(
+        rewriter, loc, args.weights.front(), bTileType, bOffsets, bSizes, unitStrides);
       Value piece = spatial::SpatVMMOp::create(rewriter, loc, pieceType, bTile, aTile).getResult();
 
       SmallVector<OpFoldResult> pieceOffsets {args.lane, rewriter.getIndexAttr(0)};

src/PIM/Conversion/ONNXToSpatial/SpatialLayoutPlanningPass.cpp

@@ -90,10 +90,10 @@ static SelectedLayout chooseReluLayout(spatial::SpatReluPlanOp reluPlan,
   return SelectedLayout::NchwRowStrip;
 }
 
-static spatial::SpatReconciliatorOp insertRowStripReconciliator(IRRewriter& rewriter, Value value) {
+static spatial::SpatBlueprintOp insertRowStripBlueprint(IRRewriter& rewriter, Value value) {
   auto outputType = cast<RankedTensorType>(value.getType());
   auto [offsets, sizes] = buildRowStripMetadata(outputType);
-  return spatial::SpatReconciliatorOp::create(rewriter,
+  return spatial::SpatBlueprintOp::create(rewriter,
                                               value.getLoc(),
                                               outputType,
                                               value,
@@ -189,12 +189,12 @@ struct SpatialLayoutPlanningPass final : PassWrapper<SpatialLayoutPlanningPass,
         continue;
 
       rewriter.setInsertionPointAfter(&op);
-      auto reconciliator = insertRowStripReconciliator(rewriter, producedValue);
-      rewriter.replaceAllUsesExcept(producedValue, reconciliator.getResult(), reconciliator);
-      materializeDenseUses(rewriter, reconciliator.getResult(), layouts);
+      auto blueprint = insertRowStripBlueprint(rewriter, producedValue);
+      rewriter.replaceAllUsesExcept(producedValue, blueprint.getResult(), blueprint);
+      materializeDenseUses(rewriter, blueprint.getResult(), layouts);
     }
     if (failed(verifyLogicalSpatialGraphInvariants(*entryFunc))) {
-      getOperation().emitError("RAPTOR_PHASE_CHECK logical Spatial graph verification failed after SpatialLayoutPlanning");
+      getOperation().emitError("logical Spatial graph verification failed after SpatialLayoutPlanning");
       signalPassFailure();
     }
   }

src/PIM/Conversion/SpatialToPim/BatchCoreLoweringPatterns.cpp

@@ -181,32 +181,32 @@ analyzeTopLevelFragmentAssemblyUses(OpResult result, RankedTensorType packedResu
   size_t elementSize = getElementTypeSizeInBytes(packedResultType.getElementType());
 
   for (OpOperand& use : result.getUses()) {
-    auto reconciliator = dyn_cast<spatial::SpatReconciliatorOp>(use.getOwner());
-    if (!reconciliator || reconciliator->getParentOp() != reconciliator->getParentOfType<func::FuncOp>())
+    auto blueprint = dyn_cast<spatial::SpatBlueprintOp>(use.getOwner());
+    if (!blueprint || blueprint->getParentOp() != blueprint->getParentOfType<func::FuncOp>())
       return failure();
-    std::optional<StringRef> mode = reconciliator.getMode();
-    std::optional<ArrayRef<int64_t>> operandIndicesAttr = reconciliator.getFragmentOperandIndices();
-    std::optional<ArrayRef<int64_t>> sourceOffsetsAttr = reconciliator.getFragmentSourceOffsets();
-    std::optional<ArrayRef<int64_t>> stridesAttr = reconciliator.getFragmentStrides();
+    std::optional<StringRef> mode = blueprint.getMode();
+    std::optional<ArrayRef<int64_t>> operandIndicesAttr = blueprint.getFragmentOperandIndices();
+    std::optional<ArrayRef<int64_t>> sourceOffsetsAttr = blueprint.getFragmentSourceOffsets();
+    std::optional<ArrayRef<int64_t>> stridesAttr = blueprint.getFragmentStrides();
     if (!mode || *mode != "fragment_assembly" || !operandIndicesAttr || !sourceOffsetsAttr || !stridesAttr)
       return failure();
-    if (!reconciliator.getOutput().hasOneUse() || !isa<func::ReturnOp>(*reconciliator.getOutput().getUsers().begin()))
+    if (!blueprint.getOutput().hasOneUse() || !isa<func::ReturnOp>(*blueprint.getOutput().getUsers().begin()))
       return failure();
 
-    unsigned returnIndex = reconciliator.getOutput().getUses().begin()->getOperandNumber();
-    auto hostResultType = dyn_cast<RankedTensorType>(reconciliator.getOutput().getType());
+    unsigned returnIndex = blueprint.getOutput().getUses().begin()->getOperandNumber();
+    auto hostResultType = dyn_cast<RankedTensorType>(blueprint.getOutput().getType());
     if (!hostResultType || !hostResultType.hasStaticShape())
       return failure();
 
     ArrayRef<int64_t> operandIndices = *operandIndicesAttr;
     ArrayRef<int64_t> sourceOffsets = *sourceOffsetsAttr;
-    ArrayRef<int64_t> flatOffsets = reconciliator.getFragmentOffsets();
-    ArrayRef<int64_t> flatSizes = reconciliator.getFragmentSizes();
+    ArrayRef<int64_t> flatOffsets = blueprint.getFragmentOffsets();
+    ArrayRef<int64_t> flatSizes = blueprint.getFragmentSizes();
     ArrayRef<int64_t> flatStrides = *stridesAttr;
     int64_t rank = hostResultType.getRank();
-    SmallVector<Value> fragmentOperands {reconciliator.getInput()};
-    llvm::append_range(fragmentOperands, reconciliator.getFragments());
-    if (failed(validateFragmentAssemblyMetadata(reconciliator,
+    SmallVector<Value> fragmentOperands {blueprint.getInput()};
+    llvm::append_range(fragmentOperands, blueprint.getFragments());
+    if (failed(validateFragmentAssemblyMetadata(blueprint,
                                                 rank,
                                                 fragmentOperands.size(),
                                                 operandIndices,
@@ -379,34 +379,34 @@ static SmallVector<OpFoldResult, 4> buildFragmentOffsets(IRRewriter& rewriter,
 }
 
 static FailureOr<Value> lowerFragmentAssemblyHostCopies(IRRewriter& rewriter,
-                                                        spatial::SpatReconciliatorOp reconciliator,
+                                                        spatial::SpatBlueprintOp blueprint,
                                                         Value hostTarget,
                                                         ArrayRef<OpFoldResult> baseOffsets,
                                                         IRMapping& mapper) {
   auto hostTargetType = dyn_cast<RankedTensorType>(hostTarget.getType());
-  auto resultType = dyn_cast<RankedTensorType>(reconciliator.getOutput().getType());
+  auto resultType = dyn_cast<RankedTensorType>(blueprint.getOutput().getType());
   if (!hostTargetType || !resultType || !resultType.hasStaticShape())
-    return reconciliator.emitOpError("fragment assembly lowering requires static ranked tensor results");
+    return blueprint.emitOpError("fragment assembly lowering requires static ranked tensor results");
 
-  std::optional<ArrayRef<int64_t>> operandIndicesAttr = reconciliator.getFragmentOperandIndices();
-  std::optional<ArrayRef<int64_t>> fragmentStridesAttr = reconciliator.getFragmentStrides();
+  std::optional<ArrayRef<int64_t>> operandIndicesAttr = blueprint.getFragmentOperandIndices();
+  std::optional<ArrayRef<int64_t>> fragmentStridesAttr = blueprint.getFragmentStrides();
   if (!operandIndicesAttr || !fragmentStridesAttr)
-    return reconciliator.emitOpError(
+    return blueprint.emitOpError(
       "fragment assembly lowering requires explicit operand indices and unit strides");
 
   ArrayRef<int64_t> operandIndices = *operandIndicesAttr;
-  std::optional<ArrayRef<int64_t>> sourceOffsetsAttr = reconciliator.getFragmentSourceOffsets();
+  std::optional<ArrayRef<int64_t>> sourceOffsetsAttr = blueprint.getFragmentSourceOffsets();
   if (!sourceOffsetsAttr)
-    return reconciliator.emitOpError("fragment assembly lowering requires explicit source offsets");
+    return blueprint.emitOpError("fragment assembly lowering requires explicit source offsets");
   ArrayRef<int64_t> sourceOffsets = *sourceOffsetsAttr;
-  ArrayRef<int64_t> flatOffsets = reconciliator.getFragmentOffsets();
-  ArrayRef<int64_t> flatSizes = reconciliator.getFragmentSizes();
+  ArrayRef<int64_t> flatOffsets = blueprint.getFragmentOffsets();
+  ArrayRef<int64_t> flatSizes = blueprint.getFragmentSizes();
   ArrayRef<int64_t> flatStrides = *fragmentStridesAttr;
   int64_t rank = resultType.getRank();
 
-  SmallVector<Value> fragmentOperands {reconciliator.getInput()};
-  llvm::append_range(fragmentOperands, reconciliator.getFragments());
-  if (failed(validateFragmentAssemblyMetadata(reconciliator,
+  SmallVector<Value> fragmentOperands {blueprint.getInput()};
+  llvm::append_range(fragmentOperands, blueprint.getFragments());
+  if (failed(validateFragmentAssemblyMetadata(blueprint,
                                               rank,
                                               fragmentOperands.size(),
                                               operandIndices,
@@ -423,14 +423,14 @@ static FailureOr<Value> lowerFragmentAssemblyHostCopies(IRRewriter& rewriter,
     for (int64_t dim = 0; dim < rank; ++dim) {
       int64_t flatIndex = fragmentIndex * rank + dim;
       if (flatStrides[flatIndex] != 1)
-        return reconciliator.emitOpError("fragment assembly lowering only supports unit strides");
+        return blueprint.emitOpError("fragment assembly lowering only supports unit strides");
       fragmentOffsets.push_back(flatOffsets[flatIndex]);
     }
 
     Value source = mapper.lookupOrDefault(fragmentOperands[operandIndex]);
     auto sourceType = dyn_cast<ShapedType>(source.getType());
     if (!sourceType || !sourceType.hasStaticShape())
-      return reconciliator.emitOpError("fragment assembly lowering requires static ranked tensor operands");
+      return blueprint.emitOpError("fragment assembly lowering requires static ranked tensor operands");
 
     SmallVector<int64_t, 4> fragmentShape;
     fragmentShape.reserve(rank);
@@ -440,11 +440,11 @@ static FailureOr<Value> lowerFragmentAssemblyHostCopies(IRRewriter& rewriter,
     Value fragment = source;
     if (llvm::to_vector(sourceType.getShape()) != fragmentShape || sourceOffsets[fragmentIndex] != 0) {
       FailureOr<SmallVector<int64_t, 4>> extractOffsets = getStaticSliceOffsetsForElementOffset(
-        reconciliator, sourceType, fragmentShape, sourceOffsets[fragmentIndex], "fragment assembly source slice");
+        blueprint, sourceType, fragmentShape, sourceOffsets[fragmentIndex], "fragment assembly source slice");
       if (failed(extractOffsets))
         return failure();
       fragment = tensor::ExtractSliceOp::create(rewriter,
-                                                reconciliator.getLoc(),
+                                                blueprint.getLoc(),
                                                 source,
                                                 getStaticIndexAttrs(rewriter, *extractOffsets),
                                                 getStaticIndexAttrs(rewriter, fragmentShape),
@@ -452,11 +452,11 @@ static FailureOr<Value> lowerFragmentAssemblyHostCopies(IRRewriter& rewriter,
     }
 
     hostTarget = tensor::InsertSliceOp::create(rewriter,
-                                               reconciliator.getLoc(),
+                                               blueprint.getLoc(),
                                                fragment,
                                                hostTarget,
                                                buildFragmentOffsets(rewriter,
-                                                                    reconciliator.getLoc(),
+                                                                    blueprint.getLoc(),
                                                                     baseOffsets,
                                                                     fragmentOffsets,
                                                                     mapper),
@@ -585,13 +585,13 @@ LogicalResult raptor::SpatialToPimPass::lowerComputeBatchOp(spatial::SpatSchedul
     if (isa<spatial::SpatYieldOp>(op))
       continue;
 
-    if (auto reconciliator = dyn_cast<spatial::SpatReconciliatorOp>(op)) {
-      std::optional<StringRef> modeAttr = reconciliator.getMode();
+    if (auto blueprint = dyn_cast<spatial::SpatBlueprintOp>(op)) {
+      std::optional<StringRef> modeAttr = blueprint.getMode();
       if (modeAttr && *modeAttr == "fragment_assembly") {
-        for (Operation* user : reconciliator.getOutput().getUsers()) {
+        for (Operation* user : blueprint.getOutput().getUsers()) {
           if (!isa<tensor::ParallelInsertSliceOp>(user))
-            return reconciliator.emitOpError(
-              "fragment assembly reconciliator lowering expects only tensor.parallel_insert_slice users");
+            return blueprint.emitOpError(
+              "fragment assembly blueprint lowering expects only tensor.parallel_insert_slice users");
         }
         continue;
       }
@@ -653,12 +653,12 @@ LogicalResult raptor::SpatialToPimPass::lowerComputeBatchOp(spatial::SpatSchedul
 
         Value hostTarget = getOrCreateHostOutputTensor(resultIndex, insertSlice.getLoc());
         auto hostTargetType = cast<ShapedType>(hostTarget.getType());
-        if (auto reconciliator =
-              insertSlice.getSource().getDefiningOp<spatial::SpatReconciliatorOp>()) {
-          std::optional<StringRef> modeAttr = reconciliator.getMode();
+        if (auto blueprint =
+              insertSlice.getSource().getDefiningOp<spatial::SpatBlueprintOp>()) {
+          std::optional<StringRef> modeAttr = blueprint.getMode();
           if (modeAttr && *modeAttr == "fragment_assembly") {
             FailureOr<Value> updatedHostTarget = lowerFragmentAssemblyHostCopies(rewriter,
-                                                                                 reconciliator,
+                                                                                 blueprint,
                                                                                  hostTarget,
                                                                                  insertSlice.getMixedOffsets(),
                                                                                  mapper);

src/PIM/Conversion/SpatialToPim/Common.cpp

@@ -73,7 +73,7 @@ mlir::Value getBestOutputTensorFromOperandsOrAllocate(RewriterBase& rewriter, Op
     rewriter, operation->getLoc(), resultShapedType.getShape(), resultShapedType.getElementType());
 }
 
-LogicalResult validateFragmentAssemblyMetadata(spatial::SpatReconciliatorOp reconciliator,
+LogicalResult validateFragmentAssemblyMetadata(spatial::SpatBlueprintOp blueprint,
                                                int64_t resultRank,
                                                size_t operandCount,
                                                ArrayRef<int64_t> operandIndices,
@@ -82,19 +82,19 @@ LogicalResult validateFragmentAssemblyMetadata(spatial::SpatReconciliatorOp reco
                                                ArrayRef<int64_t> flatSizes,
                                                ArrayRef<int64_t> flatStrides) {
   if (operandIndices.size() != sourceOffsets.size())
-    return reconciliator.emitOpError("fragment assembly operand index and source offset counts must match");
+    return blueprint.emitOpError("fragment assembly operand index and source offset counts must match");
   if (flatOffsets.size() != flatSizes.size())
-    return reconciliator.emitOpError("fragment assembly offset and size arrays must have matching lengths");
+    return blueprint.emitOpError("fragment assembly offset and size arrays must have matching lengths");
   if (flatStrides.size() != flatOffsets.size())
-    return reconciliator.emitOpError("fragment assembly stride and offset arrays must have matching lengths");
+    return blueprint.emitOpError("fragment assembly stride and offset arrays must have matching lengths");
   if (flatOffsets.size() != operandIndices.size() * static_cast<size_t>(resultRank))
-    return reconciliator.emitOpError("fragment assembly metadata must provide one rank-sized offset/size/stride tuple per fragment");
+    return blueprint.emitOpError("fragment assembly metadata must provide one rank-sized offset/size/stride tuple per fragment");
 
   for (auto [fragmentIndex, operandIndex] : llvm::enumerate(operandIndices)) {
     if (operandIndex < 0 || operandIndex >= static_cast<int64_t>(operandCount))
-      return reconciliator.emitOpError("fragment assembly operand index is out of range");
+      return blueprint.emitOpError("fragment assembly operand index is out of range");
     if (sourceOffsets[fragmentIndex] < 0)
-      return reconciliator.emitOpError("fragment assembly source offsets must be nonnegative");
+      return blueprint.emitOpError("fragment assembly source offsets must be nonnegative");
   }
 
   return success();

src/PIM/Conversion/SpatialToPim/Common.hpp

@@ -9,7 +9,7 @@
 #include "src/Accelerators/PIM/Common/PimCommon.hpp"
 
 namespace onnx_mlir::spatial {
-class SpatReconciliatorOp;
+class SpatBlueprintOp;
 }
 
 namespace onnx_mlir {
@@ -36,7 +36,7 @@ mlir::SmallVector<mlir::Value> getOpOperandsSortedByUses(mlir::Operation* operat
 
 mlir::Value getBestOutputTensorFromOperandsOrAllocate(mlir::RewriterBase& rewriter, mlir::Operation* operation);
 
-mlir::LogicalResult validateFragmentAssemblyMetadata(onnx_mlir::spatial::SpatReconciliatorOp reconciliator,
+mlir::LogicalResult validateFragmentAssemblyMetadata(onnx_mlir::spatial::SpatBlueprintOp blueprint,
                                                      int64_t resultRank,
                                                      size_t operandCount,
                                                      llvm::ArrayRef<int64_t> operandIndices,

src/PIM/Conversion/SpatialToPim/CoreLoweringPatterns.cpp

@@ -43,31 +43,31 @@ static Value createStaticHostTargetOffset(IRRewriter& rewriter,
   return getOrCreateIndexConstant(rewriter, rewriter.getInsertionBlock()->getParentOp(), byteOffset);
 }
 
-static FailureOr<Value> lowerFragmentAssemblyReconciliator(IRRewriter& rewriter,
-                                                           spatial::SpatReconciliatorOp reconciliator,
+static FailureOr<Value> lowerFragmentAssemblyBlueprint(IRRewriter& rewriter,
+                                                           spatial::SpatBlueprintOp blueprint,
                                                            IRMapping& mapping) {
-  auto resultType = dyn_cast<ShapedType>(reconciliator.getOutput().getType());
+  auto resultType = dyn_cast<ShapedType>(blueprint.getOutput().getType());
   if (!resultType || !resultType.hasStaticShape())
-    return reconciliator.emitOpError("fragment assembly lowering requires a static ranked tensor result");
+    return blueprint.emitOpError("fragment assembly lowering requires a static ranked tensor result");
 
-  std::optional<StringRef> modeAttr = reconciliator.getMode();
-  std::optional<ArrayRef<int64_t>> operandIndicesAttr = reconciliator.getFragmentOperandIndices();
-  std::optional<ArrayRef<int64_t>> sourceOffsetsAttr = reconciliator.getFragmentSourceOffsets();
-  std::optional<ArrayRef<int64_t>> fragmentStridesAttr = reconciliator.getFragmentStrides();
+  std::optional<StringRef> modeAttr = blueprint.getMode();
+  std::optional<ArrayRef<int64_t>> operandIndicesAttr = blueprint.getFragmentOperandIndices();
+  std::optional<ArrayRef<int64_t>> sourceOffsetsAttr = blueprint.getFragmentSourceOffsets();
+  std::optional<ArrayRef<int64_t>> fragmentStridesAttr = blueprint.getFragmentStrides();
   if (!modeAttr || *modeAttr != "fragment_assembly" || !operandIndicesAttr || !sourceOffsetsAttr
       || !fragmentStridesAttr)
-    return reconciliator.emitOpError("fragment assembly lowering requires explicit fragment metadata");
+    return blueprint.emitOpError("fragment assembly lowering requires explicit fragment metadata");
 
   ArrayRef<int64_t> operandIndices = *operandIndicesAttr;
   ArrayRef<int64_t> sourceOffsets = *sourceOffsetsAttr;
-  ArrayRef<int64_t> flatOffsets = reconciliator.getFragmentOffsets();
-  ArrayRef<int64_t> flatSizes = reconciliator.getFragmentSizes();
+  ArrayRef<int64_t> flatOffsets = blueprint.getFragmentOffsets();
+  ArrayRef<int64_t> flatSizes = blueprint.getFragmentSizes();
   ArrayRef<int64_t> flatStrides = *fragmentStridesAttr;
   int64_t rank = resultType.getRank();
 
-  SmallVector<Value> fragmentOperands {reconciliator.getInput()};
-  llvm::append_range(fragmentOperands, reconciliator.getFragments());
-  if (failed(validateFragmentAssemblyMetadata(reconciliator,
+  SmallVector<Value> fragmentOperands {blueprint.getInput()};
+  llvm::append_range(fragmentOperands, blueprint.getFragments());
+  if (failed(validateFragmentAssemblyMetadata(blueprint,
                                               rank,
                                               fragmentOperands.size(),
                                               operandIndices,
@@ -77,7 +77,7 @@ static FailureOr<Value> lowerFragmentAssemblyReconciliator(IRRewriter& rewriter,
                                               flatStrides)))
     return failure();
 
-  Value currentOutput = createEmptyTensorFromShaped(rewriter, reconciliator.getLoc(), resultType);
+  Value currentOutput = createEmptyTensorFromShaped(rewriter, blueprint.getLoc(), resultType);
   for (int64_t fragmentIndex = 0; fragmentIndex < static_cast<int64_t>(operandIndices.size()); ++fragmentIndex) {
     int64_t operandIndex = operandIndices[fragmentIndex];
 
@@ -86,7 +86,7 @@ static FailureOr<Value> lowerFragmentAssemblyReconciliator(IRRewriter& rewriter,
     for (int64_t dim = 0; dim < rank; ++dim) {
       int64_t flatIndex = fragmentIndex * rank + dim;
       if (flatStrides[flatIndex] != 1)
-        return reconciliator.emitOpError("fragment assembly lowering only supports unit strides");
+        return blueprint.emitOpError("fragment assembly lowering only supports unit strides");
       fragmentOffsets.push_back(flatOffsets[flatIndex]);
       fragmentElements *= flatSizes[flatIndex];
     }
@@ -94,21 +94,21 @@ static FailureOr<Value> lowerFragmentAssemblyReconciliator(IRRewriter& rewriter,
     Value source = mapping.lookupOrDefault(fragmentOperands[operandIndex]);
     auto sourceType = dyn_cast<ShapedType>(source.getType());
     if (!sourceType || !sourceType.hasStaticShape())
-      return reconciliator.emitOpError("fragment assembly lowering requires static ranked tensor operands");
+      return blueprint.emitOpError("fragment assembly lowering requires static ranked tensor operands");
 
     int64_t fragmentBytes =
       fragmentElements * static_cast<int64_t>(getElementTypeSizeInBytes(sourceType.getElementType()));
     auto sizeAttr = pim::getCheckedI32Attr(rewriter,
-                                           reconciliator.getOperation(),
+                                           blueprint.getOperation(),
                                            fragmentBytes,
                                            "fragment assembly host copy size");
     if (failed(sizeAttr))
       return failure();
 
-    Value hostTargetOffset = createStaticHostTargetOffset(rewriter, reconciliator.getLoc(), resultType, fragmentOffsets);
+    Value hostTargetOffset = createStaticHostTargetOffset(rewriter, blueprint.getLoc(), resultType, fragmentOffsets);
     auto deviceSourceOffsetBytes = pim::checkedMul(static_cast<uint64_t>(sourceOffsets[fragmentIndex]),
                                                    static_cast<uint64_t>(getElementTypeSizeInBytes(sourceType.getElementType())),
-                                                   reconciliator,
+                                                   blueprint,
                                                    "fragment assembly device source offset");
     if (failed(deviceSourceOffsetBytes))
       return failure();
@@ -116,7 +116,7 @@ static FailureOr<Value> lowerFragmentAssemblyReconciliator(IRRewriter& rewriter,
                                                         rewriter.getInsertionBlock()->getParentOp(),
                                                         static_cast<int64_t>(*deviceSourceOffsetBytes));
     currentOutput = pim::PimMemCopyDevToHostOp::create(rewriter,
-                                                       reconciliator.getLoc(),
+                                                       blueprint.getLoc(),
                                                        currentOutput.getType(),
                                                        hostTargetOffset,
                                                        deviceSourceOffset,
@@ -230,13 +230,13 @@ static bool inlineInputlessHelperComputeForWeightLikeUsers(spatial::SpatSchedule
     mapping.map(*weightArg, weight);
   }
   for (Operation& op : block.without_terminator()) {
-    if (auto reconciliator = dyn_cast<spatial::SpatReconciliatorOp>(op)) {
-      std::optional<StringRef> modeAttr = reconciliator.getMode();
+    if (auto blueprint = dyn_cast<spatial::SpatBlueprintOp>(op)) {
+      std::optional<StringRef> modeAttr = blueprint.getMode();
       if (modeAttr && *modeAttr == "fragment_assembly") {
-        auto lowered = lowerFragmentAssemblyReconciliator(rewriter, reconciliator, mapping);
+        auto lowered = lowerFragmentAssemblyBlueprint(rewriter, blueprint, mapping);
         if (failed(lowered))
           return false;
-        mapping.map(reconciliator.getOutput(), *lowered);
+        mapping.map(blueprint.getOutput(), *lowered);
         continue;
       }
     }

src/PIM/Conversion/SpatialToPim/Patterns.cpp

@@ -31,11 +31,11 @@ static SmallVector<OpFoldResult, 4> getUnitStrides(Builder& builder, int64_t ran
   return strides;
 }
 
-struct LowerFragmentAssemblyReconciliatorPattern
-  : OpConversionPattern<spatial::SpatReconciliatorOp> {
+struct LowerFragmentAssemblyBlueprintPattern
+  : OpConversionPattern<spatial::SpatBlueprintOp> {
   using OpConversionPattern::OpConversionPattern;
 
-  LogicalResult matchAndRewrite(spatial::SpatReconciliatorOp op,
+  LogicalResult matchAndRewrite(spatial::SpatBlueprintOp op,
                                 OpAdaptor adaptor,
                                 ConversionPatternRewriter& rewriter) const override {
     std::optional<StringRef> modeAttr = op.getMode();
@@ -125,7 +125,7 @@ void populateInitialPatterns(RewritePatternSet& patterns) {
 void populateCoreBodyPatterns(RewritePatternSet& patterns) {
   raptor::populateWithGenerated(patterns);
   populateTransposeLoweringPatterns(patterns);
-  patterns.add<LowerFragmentAssemblyReconciliatorPattern>(patterns.getContext());
+  patterns.add<LowerFragmentAssemblyBlueprintPattern>(patterns.getContext());
 }
 
 } // namespace onnx_mlir

src/PIM/Conversion/SpatialToPim/ReturnPathNormalization.cpp

@@ -149,36 +149,36 @@ static std::optional<ReturnUseInfo> analyzeReturnUse(Value value) {
   };
 }
 
-static FailureOr<SmallVector<std::pair<spatial::SpatReconciliatorOp, size_t>, 4>>
+static FailureOr<SmallVector<std::pair<spatial::SpatBlueprintOp, size_t>, 4>>
 analyzeTopLevelFragmentAssemblyUses(Value value) {
-  SmallVector<std::pair<spatial::SpatReconciliatorOp, size_t>, 4> uses;
+  SmallVector<std::pair<spatial::SpatBlueprintOp, size_t>, 4> uses;
   for (OpOperand& use : value.getUses()) {
-    auto reconciliator = dyn_cast<spatial::SpatReconciliatorOp>(use.getOwner());
-    if (!reconciliator || reconciliator->getParentOp() != reconciliator->getParentOfType<func::FuncOp>())
+    auto blueprint = dyn_cast<spatial::SpatBlueprintOp>(use.getOwner());
+    if (!blueprint || blueprint->getParentOp() != blueprint->getParentOfType<func::FuncOp>())
       return failure();
-    std::optional<StringRef> mode = reconciliator.getMode();
+    std::optional<StringRef> mode = blueprint.getMode();
     if (!mode || *mode != "fragment_assembly")
       return failure();
-    if (!reconciliator.getOutput().hasOneUse() || !isa<func::ReturnOp>(*reconciliator.getOutput().getUsers().begin()))
+    if (!blueprint.getOutput().hasOneUse() || !isa<func::ReturnOp>(*blueprint.getOutput().getUsers().begin()))
       return failure();
-    std::optional<ArrayRef<int64_t>> operandIndicesAttr = reconciliator.getFragmentOperandIndices();
-    std::optional<ArrayRef<int64_t>> sourceOffsetsAttr = reconciliator.getFragmentSourceOffsets();
-    std::optional<ArrayRef<int64_t>> stridesAttr = reconciliator.getFragmentStrides();
-    auto resultType = dyn_cast<RankedTensorType>(reconciliator.getOutput().getType());
+    std::optional<ArrayRef<int64_t>> operandIndicesAttr = blueprint.getFragmentOperandIndices();
+    std::optional<ArrayRef<int64_t>> sourceOffsetsAttr = blueprint.getFragmentSourceOffsets();
+    std::optional<ArrayRef<int64_t>> stridesAttr = blueprint.getFragmentStrides();
+    auto resultType = dyn_cast<RankedTensorType>(blueprint.getOutput().getType());
     if (!operandIndicesAttr || !sourceOffsetsAttr || !stridesAttr || !resultType || !resultType.hasStaticShape())
       return failure();
-    SmallVector<Value> fragmentOperands {reconciliator.getInput()};
-    llvm::append_range(fragmentOperands, reconciliator.getFragments());
-    if (failed(validateFragmentAssemblyMetadata(reconciliator,
+    SmallVector<Value> fragmentOperands {blueprint.getInput()};
+    llvm::append_range(fragmentOperands, blueprint.getFragments());
+    if (failed(validateFragmentAssemblyMetadata(blueprint,
                                                 resultType.getRank(),
                                                 fragmentOperands.size(),
                                                 *operandIndicesAttr,
                                                 *sourceOffsetsAttr,
-                                                reconciliator.getFragmentOffsets(),
-                                                reconciliator.getFragmentSizes(),
+                                                blueprint.getFragmentOffsets(),
+                                                blueprint.getFragmentSizes(),
                                                 *stridesAttr)))
       return failure();
-    uses.emplace_back(reconciliator, use.getOperandNumber());
+    uses.emplace_back(blueprint, use.getOperandNumber());
   }
   return uses;
 }
@@ -593,7 +593,7 @@ raptor::SpatialToPimPass::ReturnPathLoweringResult raptor::SpatialToPimPass::low
     }
   }
 
-  FailureOr<SmallVector<std::pair<spatial::SpatReconciliatorOp, size_t>, 4>> fragmentAssemblyUses =
+  FailureOr<SmallVector<std::pair<spatial::SpatBlueprintOp, size_t>, 4>> fragmentAssemblyUses =
     analyzeTopLevelFragmentAssemblyUses(producedValue);
   if (succeeded(fragmentAssemblyUses)) {
     auto sourceType = dyn_cast<RankedTensorType>(storedValue.getType());
@@ -603,35 +603,35 @@ raptor::SpatialToPimPass::ReturnPathLoweringResult raptor::SpatialToPimPass::low
     }
 
     size_t elementSize = getElementTypeSizeInBytes(sourceType.getElementType());
-    for (auto [reconciliator, operandNumber] : *fragmentAssemblyUses) {
+    for (auto [blueprint, operandNumber] : *fragmentAssemblyUses) {
       rewriter.setInsertionPointAfterValue(storedValue);
-      std::optional<ArrayRef<int64_t>> operandIndicesAttr = reconciliator.getFragmentOperandIndices();
-      std::optional<ArrayRef<int64_t>> sourceOffsetsAttr = reconciliator.getFragmentSourceOffsets();
-      std::optional<ArrayRef<int64_t>> stridesAttr = reconciliator.getFragmentStrides();
+      std::optional<ArrayRef<int64_t>> operandIndicesAttr = blueprint.getFragmentOperandIndices();
+      std::optional<ArrayRef<int64_t>> sourceOffsetsAttr = blueprint.getFragmentSourceOffsets();
+      std::optional<ArrayRef<int64_t>> stridesAttr = blueprint.getFragmentStrides();
       if (!operandIndicesAttr || !sourceOffsetsAttr || !stridesAttr) {
-        reconciliator.emitOpError(
+        blueprint.emitOpError(
           "fragment assembly lowering requires explicit operand, source-offset, and stride metadata");
         return ReturnPathLoweringResult::Failure;
       }
 
-      size_t returnIndex = reconciliator.getOutput().getUses().begin()->getOperandNumber();
+      size_t returnIndex = blueprint.getOutput().getUses().begin()->getOperandNumber();
       Value outputTensor = outputTensors[returnIndex](rewriter, loc);
       auto outputType = dyn_cast<RankedTensorType>(outputTensor.getType());
-      auto resultType = dyn_cast<RankedTensorType>(reconciliator.getOutput().getType());
+      auto resultType = dyn_cast<RankedTensorType>(blueprint.getOutput().getType());
       if (!outputType || !resultType || !resultType.hasStaticShape()) {
-        reconciliator.emitOpError("fragment assembly lowering requires static ranked host outputs");
+        blueprint.emitOpError("fragment assembly lowering requires static ranked host outputs");
         return ReturnPathLoweringResult::Failure;
       }
 
       ArrayRef<int64_t> operandIndices = *operandIndicesAttr;
       ArrayRef<int64_t> sourceOffsets = *sourceOffsetsAttr;
-      ArrayRef<int64_t> flatOffsets = reconciliator.getFragmentOffsets();
-      ArrayRef<int64_t> flatSizes = reconciliator.getFragmentSizes();
+      ArrayRef<int64_t> flatOffsets = blueprint.getFragmentOffsets();
+      ArrayRef<int64_t> flatSizes = blueprint.getFragmentSizes();
       ArrayRef<int64_t> flatStrides = *stridesAttr;
       int64_t rank = resultType.getRank();
-      if (failed(validateFragmentAssemblyMetadata(reconciliator,
+      if (failed(validateFragmentAssemblyMetadata(blueprint,
                                                   rank,
-                                                  1 + reconciliator.getFragments().size(),
+                                                  1 + blueprint.getFragments().size(),
                                                   operandIndices,
                                                   sourceOffsets,
                                                   flatOffsets,
@@ -647,7 +647,7 @@ raptor::SpatialToPimPass::ReturnPathLoweringResult raptor::SpatialToPimPass::low
         for (int64_t dim = 0; dim < rank; ++dim) {
           int64_t flatIndex = fragmentIndex * rank + dim;
           if (flatStrides[flatIndex] != 1) {
-            reconciliator.emitOpError("fragment assembly lowering only supports unit strides");
+            blueprint.emitOpError("fragment assembly lowering only supports unit strides");
             return ReturnPathLoweringResult::Failure;
           }
           fragmentOffsets.push_back(flatOffsets[flatIndex]);
@@ -684,7 +684,7 @@ raptor::SpatialToPimPass::ReturnPathLoweringResult raptor::SpatialToPimPass::low
 
             outputTensor =
               pim::PimMemCopyDevToHostOp::create(rewriter,
-                                                 reconciliator.getLoc(),
+                                                 blueprint.getLoc(),
                                                  outputTensor.getType(),
                                                  getOrCreateIndexConstant(rewriter, producerOp, *hostOffset),
                                                  getOrCreateIndexConstant(rewriter, producerOp, *sourceOffset),
@@ -698,7 +698,7 @@ raptor::SpatialToPimPass::ReturnPathLoweringResult raptor::SpatialToPimPass::low
         if (failedChunk)
           return ReturnPathLoweringResult::Failure;
       }
-      markOpToRemove(reconciliator.getOperation());
+      markOpToRemove(blueprint.getOperation());
     }
     return ReturnPathLoweringResult::Handled;
   }
@@ -813,11 +813,11 @@ void raptor::SpatialToPimPass::replaceReturnWithOutputBuffers(func::ReturnOp ret
       return;
     }
 
-    if (auto reconciliator = dyn_cast<spatial::SpatReconciliatorOp>(op)) {
-      std::optional<StringRef> mode = reconciliator.getMode();
+    if (auto blueprint = dyn_cast<spatial::SpatBlueprintOp>(op)) {
+      std::optional<StringRef> mode = blueprint.getMode();
       if (mode && *mode == "fragment_assembly") {
-        markOpToRemove(reconciliator.getOperation());
-        for (Value operand : reconciliator->getOperands())
+        markOpToRemove(blueprint.getOperation());
+        for (Value operand : blueprint->getOperands())
           markOwnedReturnChain(operand.getDefiningOp(), markOwnedReturnChain);
         return;
       }

src/PIM/Conversion/SpatialToPim/SpatialToPimPass.cpp

@@ -203,7 +203,7 @@ void onnx_mlir::raptor::SpatialToPimPass::runOnOperation() {
   func::FuncOp funcOp = *entryFunc;
   if (failed(verifyScheduledSpatialInvariants(funcOp))) {
     funcOp.emitOpError(
-      "RAPTOR_PHASE_CHECK scheduled Spatial verification failed at the start of SpatialToPim");
+      "scheduled Spatial verification failed at the start of SpatialToPim");
     signalPassFailure();
     return;
   }

src/PIM/Dialect/Spatial/Spatial.td

@@ -232,8 +232,8 @@ def SpatReluPlanOp : SpatOp<"relu_plan", []> {
   let hasVerifier = 1;
 }
 
-def SpatReconciliatorOp : SpatOp<"reconciliator", []> {
-  let summary = "Logical-to-physical layout record or explicit fragment assembly";
+def SpatBlueprintOp : SpatOp<"blueprint", []> {
+  let summary = "Blueprint for assembling logical tensors from published fragments";
 
   let arguments = (ins
     SpatTensor:$input,
@@ -256,6 +256,7 @@ def SpatReconciliatorOp : SpatOp<"reconciliator", []> {
   );
 
   let hasVerifier = 1;
+  let hasCustomAssemblyFormat = 1;
 }
 
 def SpatMaterializeLayoutOp : SpatOp<"materialize_layout", []> {

src/PIM/Dialect/Spatial/SpatialOpsAsm.cpp

@@ -32,6 +32,14 @@ static IntegerAttr getI32Attr(OpAsmParser& parser, int32_t value) {
   return parser.getBuilder().getI32IntegerAttr(value);
 }
 
+static ParseResult parseBareStringAttr(OpAsmParser& parser, StringAttr& attr) {
+  StringRef value;
+  if (parser.parseKeyword(&value))
+    return failure();
+  attr = parser.getBuilder().getStringAttr(value);
+  return success();
+}
+
 static void printBlockArgumentList(OpAsmPrinter& printer, ArrayRef<BlockArgument> arguments) {
   printer << "(";
   for (auto [index, argument] : llvm::enumerate(arguments)) {
@@ -466,6 +474,131 @@ ParseResult SpatConcatOp::parse(OpAsmParser& parser, OperationState& result) {
   return success();
 }
 
+void SpatBlueprintOp::print(OpAsmPrinter& printer) {
+  SmallVector<Value> operands {getInput()};
+  llvm::append_range(operands, getFragments());
+
+  printer << " fragments";
+  printCompressedValueList(printer, operands, ListDelimiter::Paren);
+  printer << " layout " << getLogicalLayout();
+  printer << " physical " << getPhysicalLayout();
+  printer << " offsets ";
+  printCompressedIntegerList(printer, getFragmentOffsets());
+  printer << " sizes ";
+  printCompressedIntegerList(printer, getFragmentSizes());
+  printer << " map " << getIndexMap();
+  if (std::optional<StringRef> mode = getMode())
+    printer << " mode " << *mode;
+  if (std::optional<ArrayRef<int64_t>> operandIndices = getFragmentOperandIndices()) {
+    printer << " operandIndices ";
+    printCompressedIntegerList(printer, *operandIndices);
+  }
+  if (std::optional<ArrayRef<int64_t>> sourceOffsets = getFragmentSourceOffsets()) {
+    printer << " sourceOffsets ";
+    printCompressedIntegerList(printer, *sourceOffsets);
+  }
+  if (std::optional<ArrayRef<int64_t>> strides = getFragmentStrides()) {
+    printer << " strides ";
+    printCompressedIntegerList(printer, *strides);
+  }
+  if (std::optional<StringRef> conflictPolicy = getConflictPolicy())
+    printer << " conflict " << *conflictPolicy;
+  if (std::optional<StringRef> coveragePolicy = getCoveragePolicy())
+    printer << " coverage " << *coveragePolicy;
+
+  printer.printOptionalAttrDict((*this)->getAttrs(),
+                                {getLogicalLayoutAttrName().getValue(),
+                                 getPhysicalLayoutAttrName().getValue(),
+                                 getFragmentOffsetsAttrName().getValue(),
+                                 getFragmentSizesAttrName().getValue(),
+                                 getIndexMapAttrName().getValue(),
+                                 getModeAttrName().getValue(),
+                                 getFragmentOperandIndicesAttrName().getValue(),
+                                 getFragmentSourceOffsetsAttrName().getValue(),
+                                 getFragmentStridesAttrName().getValue(),
+                                 getConflictPolicyAttrName().getValue(),
+                                 getCoveragePolicyAttrName().getValue()});
+  printer << " : ";
+  printCompressedTypeList(printer, TypeRange(operands), ListDelimiter::Paren);
+  printer << " -> ";
+  printer.printType(getOutput().getType());
+}
+
+ParseResult SpatBlueprintOp::parse(OpAsmParser& parser, OperationState& result) {
+  SmallVector<OpAsmParser::UnresolvedOperand> operands;
+  SmallVector<Type> operandTypes;
+  Type outputType;
+  StringAttr logicalLayout;
+  StringAttr physicalLayout;
+  StringAttr indexMap;
+  StringAttr mode;
+  StringAttr conflictPolicy;
+  StringAttr coveragePolicy;
+  SmallVector<int64_t> fragmentOffsets;
+  SmallVector<int64_t> fragmentSizes;
+  SmallVector<int64_t> fragmentOperandIndices;
+  SmallVector<int64_t> fragmentSourceOffsets;
+  SmallVector<int64_t> fragmentStrides;
+
+  if (parser.parseKeyword("fragments")
+      || parseCompressedOperandList(parser, ListDelimiter::Paren, operands)
+      || parser.parseKeyword("layout") || parseBareStringAttr(parser, logicalLayout)
+      || parser.parseKeyword("physical") || parseBareStringAttr(parser, physicalLayout)
+      || parser.parseKeyword("offsets") || parseCompressedIntegerList(parser, fragmentOffsets)
+      || parser.parseKeyword("sizes") || parseCompressedIntegerList(parser, fragmentSizes)
+      || parser.parseKeyword("map") || parseBareStringAttr(parser, indexMap))
+    return failure();
+
+  if (succeeded(parser.parseOptionalKeyword("mode")) && parseBareStringAttr(parser, mode))
+    return failure();
+  if (succeeded(parser.parseOptionalKeyword("operandIndices"))
+      && parseCompressedIntegerList(parser, fragmentOperandIndices))
+    return failure();
+  if (succeeded(parser.parseOptionalKeyword("sourceOffsets"))
+      && parseCompressedIntegerList(parser, fragmentSourceOffsets))
+    return failure();
+  if (succeeded(parser.parseOptionalKeyword("strides")) && parseCompressedIntegerList(parser, fragmentStrides))
+    return failure();
+  if (succeeded(parser.parseOptionalKeyword("conflict")) && parseBareStringAttr(parser, conflictPolicy))
+    return failure();
+  if (succeeded(parser.parseOptionalKeyword("coverage")) && parseBareStringAttr(parser, coveragePolicy))
+    return failure();
+
+  if (parser.parseOptionalAttrDict(result.attributes) || parser.parseColon()
+      || parseCompressedRepeatedList(
+        parser, ListDelimiter::Paren, operandTypes, [&](Type& type) { return parser.parseType(type); })
+      || parser.parseArrow() || parser.parseType(outputType))
+    return failure();
+  if (operands.empty())
+    return parser.emitError(parser.getCurrentLocation(), "spat.blueprint requires at least one fragment operand");
+  if (operands.size() != operandTypes.size())
+    return parser.emitError(parser.getCurrentLocation(), "number of fragment operands and types must match");
+
+  auto& builder = parser.getBuilder();
+  result.addAttribute("logicalLayout", logicalLayout);
+  result.addAttribute("physicalLayout", physicalLayout);
+  result.addAttribute("fragmentOffsets", builder.getDenseI64ArrayAttr(fragmentOffsets));
+  result.addAttribute("fragmentSizes", builder.getDenseI64ArrayAttr(fragmentSizes));
+  result.addAttribute("indexMap", indexMap);
+  if (mode)
+    result.addAttribute("mode", mode);
+  if (!fragmentOperandIndices.empty())
+    result.addAttribute("fragmentOperandIndices", builder.getDenseI64ArrayAttr(fragmentOperandIndices));
+  if (!fragmentSourceOffsets.empty())
+    result.addAttribute("fragmentSourceOffsets", builder.getDenseI64ArrayAttr(fragmentSourceOffsets));
+  if (!fragmentStrides.empty())
+    result.addAttribute("fragmentStrides", builder.getDenseI64ArrayAttr(fragmentStrides));
+  if (conflictPolicy)
+    result.addAttribute("conflictPolicy", conflictPolicy);
+  if (coveragePolicy)
+    result.addAttribute("coveragePolicy", coveragePolicy);
+
+  if (parser.resolveOperands(operands, operandTypes, parser.getCurrentLocation(), result.operands))
+    return failure();
+  result.addTypes(outputType);
+  return success();
+}
+
 void SpatGraphCompute::print(OpAsmPrinter& printer) { printComputeLikeOp(*this, printer); }
 ParseResult SpatGraphCompute::parse(OpAsmParser& parser, OperationState& result) {
   return parseComputeLikeOp<SpatGraphCompute>(parser, result);

src/PIM/Dialect/Spatial/SpatialOpsVerify.cpp

@@ -436,10 +436,10 @@ LogicalResult SpatReluPlanOp::verify() {
   return success();
 }
 
-LogicalResult SpatReconciliatorOp::verify() {
+LogicalResult SpatBlueprintOp::verify() {
   auto modeAttr = getModeAttr();
   bool isFragmentAssembly = modeAttr && modeAttr.getValue() == "fragment_assembly";
-  if (!isFragmentAssembly && failed(verifyPlanTensorTypes(getOperation(), getInput(), getOutput(), "spat.reconciliator")))
+  if (!isFragmentAssembly && failed(verifyPlanTensorTypes(getOperation(), getInput(), getOutput(), "spat.blueprint")))
     return failure();
   if (!isKnownLogicalLayout(getLogicalLayout()))
     return emitError("requires a known logical layout");
@@ -482,10 +482,10 @@ LogicalResult SpatReconciliatorOp::verify() {
     if (failed(verifyBoundsOnly({})))
       return failure();
     if (!getFragments().empty())
-      return emitError("legacy reconciliator does not accept extra fragment operands");
+      return emitError("legacy blueprint does not accept extra fragment operands");
     if (getFragmentSourceOffsetsAttr() || getFragmentStridesAttr() || getConflictPolicyAttr()
         || getCoveragePolicyAttr())
-      return emitError("legacy reconciliator does not accept fragment assembly attributes");
+      return emitError("legacy blueprint does not accept fragment assembly attributes");
     return success();
   }
 
@@ -493,11 +493,11 @@ LogicalResult SpatReconciliatorOp::verify() {
   auto operandIndicesAttr = getFragmentOperandIndicesAttr();
   auto sourceOffsetsAttr = getFragmentSourceOffsetsAttr();
   if (!operandIndicesAttr)
-    return emitError("fragment assembly reconciliator requires fragment operand indices");
+    return emitError("fragment assembly blueprint requires fragment operand indices");
   if (!sourceOffsetsAttr)
-    return emitError("fragment assembly reconciliator requires fragment source offsets");
+    return emitError("fragment assembly blueprint requires fragment source offsets");
   if (!stridesAttr)
-    return emitError("fragment assembly reconciliator requires fragment strides");
+    return emitError("fragment assembly blueprint requires fragment strides");
   ArrayRef<int64_t> operandIndices = operandIndicesAttr.asArrayRef();
   ArrayRef<int64_t> sourceOffsets = sourceOffsetsAttr.asArrayRef();
   ArrayRef<int64_t> strides = stridesAttr.asArrayRef();
@@ -506,11 +506,11 @@ LogicalResult SpatReconciliatorOp::verify() {
   if (sourceOffsets.size() != operandIndices.size())
     return emitError("fragment source offset count must match fragment operand index count");
   if (!getConflictPolicyAttr() || !getCoveragePolicyAttr())
-    return emitError("fragment assembly reconciliator requires conflict and coverage policies");
+    return emitError("fragment assembly blueprint requires conflict and coverage policies");
   if (getConflictPolicy() != "disjoint")
-    return emitError("fragment assembly reconciliator currently supports only conflict_policy=\"disjoint\"");
+    return emitError("fragment assembly blueprint currently supports only conflict_policy=\"disjoint\"");
   if (getCoveragePolicy() != "complete" && getCoveragePolicy() != "partial")
-    return emitError("fragment assembly reconciliator coverage_policy must be \"complete\" or \"partial\"");
+    return emitError("fragment assembly blueprint coverage_policy must be \"complete\" or \"partial\"");
 
   SmallVector<Value> operands;
   operands.push_back(getInput());
@@ -518,7 +518,7 @@ LogicalResult SpatReconciliatorOp::verify() {
   int64_t operandCount = static_cast<int64_t>(operands.size());
   int64_t fragmentCount = static_cast<int64_t>(operandIndices.size());
   if (operandCount == 0)
-    return emitError("fragment assembly reconciliator requires at least one operand");
+    return emitError("fragment assembly blueprint requires at least one operand");
   if (static_cast<int64_t>(offsets.size()) != fragmentCount * rank)
     return emitError("fragment assembly metadata count must match operand count * result rank");
   if (failed(verifyBoundsOnly(strides)))
@@ -544,9 +544,9 @@ LogicalResult SpatReconciliatorOp::verify() {
 
     auto operandType = dyn_cast<RankedTensorType>(operands[operandIndex].getType());
     if (!operandType || !operandType.hasStaticShape())
-      return emitError("fragment assembly reconciliator requires static ranked tensor operands");
+      return emitError("fragment assembly blueprint requires static ranked tensor operands");
     if (operandType.getRank() != rank)
-      return emitError("fragment assembly reconciliator requires operand/result rank match");
+      return emitError("fragment assembly blueprint requires operand/result rank match");
 
     SmallVector<int64_t, 4> fragmentOffsets;
     SmallVector<int64_t, 4> fragmentSizes;
@@ -583,14 +583,14 @@ LogicalResult SpatReconciliatorOp::verify() {
         }
       }
       if (overlaps)
-        return emitError("fragment assembly reconciliator requires disjoint static slices");
+        return emitError("fragment assembly blueprint requires disjoint static slices");
     }
     slices.push_back({std::move(fragmentOffsets), std::move(fragmentSizes)});
   }
 
   for (int64_t operandIndex = 0; operandIndex < operandCount; ++operandIndex) {
     if (fragmentCountsByOperand[static_cast<size_t>(operandIndex)] == 0)
-      return emitError("fragment assembly reconciliator requires every operand to contribute at least one fragment");
+      return emitError("fragment assembly blueprint requires every operand to contribute at least one fragment");
   }
 
   if (getCoveragePolicy() == "complete") {

src/PIM/Dialect/Spatial/Transforms/MergeComputeNodes/MaterializeMergeSchedule.cpp

@@ -30,6 +30,7 @@
 #include "src/Accelerators/PIM/Common/IR/LoopUtils.hpp"
 #include "src/Accelerators/PIM/Common/PimCommon.hpp"
 #include "src/Accelerators/PIM/Common/Support/CheckedArithmetic.hpp"
+#include "src/Accelerators/PIM/Conversion/ONNXToSpatial/Common/ShapeTilingUtils.hpp"
 #include "src/Accelerators/PIM/Dialect/Spatial/SpatialOps.hpp"
 
 using namespace mlir;
@@ -308,7 +309,7 @@ struct PendingProjectedHostOutputFragment {
   Value originalOutput;
   ClassId sourceClass = 0;
   ProducerKey producerKey;
-  Value publicationValue;
+  unsigned publicationResultIndex = 0;
   int64_t sourceFragmentOrdinal = 0;
   int64_t sourceElementOffset = 0;
   SmallVector<int64_t, 4> offsets;
@@ -1220,36 +1221,13 @@ BlockArgument appendInput(MaterializerState& state, MaterializedClass& materiali
   return std::get<1>(*arg);
 }
 
-void refreshPendingProjectedHostOutputPublicationValues(MaterializerState& state,
-                                                        Operation* oldOwner,
-                                                        Operation* newOwner) {
-  if (!oldOwner || oldOwner == newOwner)
-    return;
-
-  for (PendingProjectedHostOutputFragment& fragment : state.pendingProjectedHostOutputFragments) {
-    auto publicationResult = dyn_cast_or_null<OpResult>(fragment.publicationValue);
-    if (!publicationResult || publicationResult.getOwner() != oldOwner)
-      publicationResult = OpResult();
-    else
-      fragment.publicationValue = newOwner->getResult(publicationResult.getResultNumber());
-
-    if (auto originalResult = dyn_cast_or_null<OpResult>(fragment.originalOutput); originalResult
-        && originalResult.getOwner() == oldOwner) {
-      fragment.originalOutput = newOwner->getResult(originalResult.getResultNumber());
-    }
-
-    if (fragment.producerKey.instance.op == oldOwner)
-      fragment.producerKey.instance.op = newOwner;
-  }
-}
-
-FailureOr<Value> appendScalarPublicationResult(MaterializerState& state,
-                                               MaterializedClass& materializedClass,
-                                               Value payload,
-                                               Location loc) {
+FailureOr<unsigned> appendScalarPublicationResult(MaterializerState& state,
+                                                  MaterializedClass& materializedClass,
+                                                  Value payload,
+                                                  Location loc) {
   auto existing = materializedClass.publicationOutputToResultIndex.find(payload);
   if (existing != materializedClass.publicationOutputToResultIndex.end())
-    return materializedClass.op->getResult(existing->second);
+    return existing->second;
 
   auto compute = dyn_cast<SpatScheduledCompute>(materializedClass.op);
   if (!compute)
@@ -1264,27 +1242,25 @@ FailureOr<Value> appendScalarPublicationResult(MaterializerState& state,
   if (failed(inserted))
     return materializedClass.op->emitError("failed to append scalar publication result");
 
-  Operation* oldOp = materializedClass.op;
   auto [result, newCompute] = *inserted;
   materializedClass.op = newCompute.getOperation();
   materializedClass.body = &newCompute.getBody().front();
-  refreshPendingProjectedHostOutputPublicationValues(state, oldOp, materializedClass.op);
   materializedClass.publicationOutputToResultIndex[payload] = result.getResultNumber();
 
   auto yieldOp = dyn_cast<SpatYieldOp>(materializedClass.body->getTerminator());
   if (!yieldOp)
     return materializedClass.op->emitError("expected spat.yield terminator while appending scalar publication result");
   state.rewriter.modifyOpInPlace(yieldOp, [&] { yieldOp->insertOperands(yieldOp.getNumOperands(), payload); });
-  return result;
+  return result.getResultNumber();
 }
 
-FailureOr<Value> appendBatchPublicationResult(MaterializerState& state,
-                                              MaterializedClass& materializedClass,
-                                              Value payload,
-                                              Location loc) {
+FailureOr<unsigned> appendBatchPublicationResult(MaterializerState& state,
+                                                 MaterializedClass& materializedClass,
+                                                 Value payload,
+                                                 Location loc) {
   auto existing = materializedClass.publicationOutputToResultIndex.find(payload);
   if (existing != materializedClass.publicationOutputToResultIndex.end())
-    return materializedClass.op->getResult(existing->second);
+    return existing->second;
 
   auto batch = dyn_cast<SpatScheduledComputeBatch>(materializedClass.op);
   if (!batch)
@@ -1305,11 +1281,9 @@ FailureOr<Value> appendBatchPublicationResult(MaterializerState& state,
   if (failed(inserted))
     return materializedClass.op->emitError("failed to append batch publication result");
 
-  Operation* oldOp = materializedClass.op;
   auto [result, outputArg, newBatch] = *inserted;
   materializedClass.op = newBatch.getOperation();
   materializedClass.body = &newBatch.getBody().front();
-  refreshPendingProjectedHostOutputPublicationValues(state, oldOp, materializedClass.op);
   materializedClass.publicationOutputToResultIndex[payload] = result.getResultNumber();
 
   auto inParallelOp = dyn_cast<SpatInParallelOp>(materializedClass.body->getTerminator());
@@ -1330,7 +1304,7 @@ FailureOr<Value> appendBatchPublicationResult(MaterializerState& state,
   Value firstOffset =
     scaleIndexByDim0Size(state, materializedClass.op, *laneArg, payloadType.getDimSize(0), loc);
   createDim0ParallelInsertSlice(state, loc, payload, outputArg, firstOffset);
-  return result;
+  return result.getResultNumber();
 }
 
 // -----------------------------------------------------------------------------
@@ -1563,7 +1537,7 @@ void attachMaterializerValueOriginNote(InFlightDiagnostic& diagnostic, Value val
 void attachMaterializedClassBodySummary(InFlightDiagnostic& diagnostic, const MaterializedClass& targetClass) {
   Block& body = *targetClass.body;
   diagnostic.attachNote(targetClass.op->getLoc())
-    << "RAPTOR_MATERIALIZER_DEBUG target class " << targetClass.id << " op '" << targetClass.op->getName()
+    << "target class " << targetClass.id << " op '" << targetClass.op->getName()
     << "' body has " << body.getNumArguments() << " block arguments and "
     << std::distance(body.begin(), body.end()) << " top-level operations";
 }
@@ -1687,7 +1661,7 @@ FailureOr<Value> rematerializeIndexValueInClass(MaterializerState& state,
 
   if (auto blockArg = dyn_cast<BlockArgument>(value)) {
     InFlightDiagnostic diagnostic = targetClass.op->emitError(
-      "RAPTOR_MATERIALIZER_DEBUG cannot rematerialize external block argument in materialized class body");
+      "cannot rematerialize external block argument in materialized class body");
     diagnostic << " currentArg#" << blockArg.getArgNumber() << " currentType=" << blockArg.getType()
                << " targetClass=" << targetClass.id << " targetOp='" << targetClass.op->getName() << "'";
     if (Operation* owner = blockArg.getOwner()->getParentOp()) {
@@ -1709,16 +1683,16 @@ FailureOr<Value> rematerializeIndexValueInClass(MaterializerState& state,
     if (mapperHadOriginalValue && mappedOriginalValue != value)
       attachMaterializerValueOriginNote(diagnostic, mappedOriginalValue, "mapper value");
     if (Operation* owner = blockArg.getOwner()->getParentOp()) {
-      attachMaterializerOperationPrintNote(diagnostic, owner, "RAPTOR_MATERIALIZER_DEBUG external block argument owner op");
-      attachMaterializerParentChainNote(diagnostic, owner, "RAPTOR_MATERIALIZER_DEBUG external block argument owner parent chain");
+      attachMaterializerOperationPrintNote(diagnostic, owner, "external block argument owner op");
+      attachMaterializerParentChainNote(diagnostic, owner, "external block argument owner parent chain");
     }
-    attachMaterializerOperationPrintNote(diagnostic, targetClass.op, "RAPTOR_MATERIALIZER_DEBUG target materialized op");
+    attachMaterializerOperationPrintNote(diagnostic, targetClass.op, "target materialized op");
     attachMaterializedClassBodySummary(diagnostic, targetClass);
     return failure();
   }
 
   InFlightDiagnostic diagnostic =
-    targetClass.op->emitError("RAPTOR_MATERIALIZER_DEBUG cannot rematerialize external index value in materialized class body");
+    targetClass.op->emitError("cannot rematerialize external index value in materialized class body");
   diagnostic << " type=" << value.getType() << " targetClass=" << targetClass.id << " targetOp='"
              << targetClass.op->getName() << "'";
   attachMaterializerValueOriginNote(diagnostic, originalValue, "original value");
@@ -1793,8 +1767,12 @@ FailureOr<Value> rematerializeTensorValueInClass(MaterializerState& state,
       strides.push_back(*localized);
     }
 
-    return tensor::ExtractSliceOp::create(state.rewriter, anchor->getLoc(), *localizedSource, offsets, sizes, strides)
-      .getResult();
+    auto resultType = dyn_cast<RankedTensorType>(extractSlice.getResult().getType());
+    if (!resultType)
+      return anchor->emitError("expected ranked tensor extract_slice while rematerializing tensor capture");
+
+    return extractStaticSliceOrIdentity(
+      state.rewriter, anchor->getLoc(), *localizedSource, resultType, offsets, sizes, strides);
   }
 
   if (auto collapseShape = value.getDefiningOp<tensor::CollapseShapeOp>()) {
@@ -2108,8 +2086,10 @@ Value scaleIndexByDim0Size(MaterializerState& state, Operation* anchor, Value in
   if (dim0Size == 1)
     return index;
 
-  Value dim0SizeValue = getOrCreateIndexConstant(state.constantFolder, anchor, dim0Size);
-  return arith::MulIOp::create(state.rewriter, loc, index, dim0SizeValue).getResult();
+  MLIRContext* context = state.func.getContext();
+  AffineExpr d0 = getAffineDimExpr(0, context);
+  AffineMap map = AffineMap::get(/*dimCount=*/1, /*symbolCount=*/0, d0 * dim0Size);
+  return createOrFoldAffineApply(state.rewriter, loc, map, ValueRange {index}, anchor);
 }
 
 FailureOr<Value> scaleIndexByDim0SizeInClass(MaterializerState& state,
@@ -2123,8 +2103,7 @@ FailureOr<Value> scaleIndexByDim0SizeInClass(MaterializerState& state,
   if (dim0Size == 1)
     return *localizedIndex;
 
-  Value dim0SizeValue = getOrCreateIndexConstant(state.constantFolder, targetClass.op, dim0Size);
-  return arith::MulIOp::create(state.rewriter, loc, *localizedIndex, dim0SizeValue).getResult();
+  return scaleIndexByDim0Size(state, targetClass.op, *localizedIndex, dim0Size, loc);
 }
 
 bool sameProducerResult(ProducerKey lhs, ProducerKey rhs) {
@@ -3677,10 +3656,13 @@ FailureOr<Value> buildProjectedPackedPayload(MaterializerState& state,
     ValueRange {init},
     [&](OpBuilder&, Location, Value fragmentIndex, ValueRange iterArgs, SmallVectorImpl<Value>& yielded) {
       Value acc = iterArgs.front();
-      Value payloadFragmentCount =
-        getOrCreateIndexConstant(state.constantFolder, targetClass.op, descriptor.layout.payloadFragmentCount);
-      Value flatBase = arith::MulIOp::create(state.rewriter, loc, *localizedMessageIndex, payloadFragmentCount).getResult();
-      Value flatIndex = arith::AddIOp::create(state.rewriter, loc, flatBase, fragmentIndex).getResult();
+      MLIRContext* context = state.func.getContext();
+      AffineExpr d0 = getAffineDimExpr(0, context);
+      AffineExpr d1 = getAffineDimExpr(1, context);
+      AffineMap flatIndexMap =
+        AffineMap::get(/*dimCount=*/2, /*symbolCount=*/0, d0 * descriptor.layout.payloadFragmentCount + d1);
+      Value flatIndex = createOrFoldAffineApply(
+        state.rewriter, loc, flatIndexMap, ValueRange {*localizedMessageIndex, fragmentIndex}, targetClass.op);
 
       FailureOr<SmallVector<OpFoldResult, 4>> fragmentOffsets =
         buildProjectedFragmentOffsetsInClass(state, targetClass, descriptor, flatIndex, loc);
@@ -5618,8 +5600,8 @@ FailureOr<bool> recordProjectedScalarHostFragmentsFromPackedRun(MaterializerStat
     return failure();
   }
 
-  FailureOr<Value> publicationResult = appendScalarPublicationResult(state, sourceClass, packed, loc);
-  if (failed(publicationResult))
+  FailureOr<unsigned> publicationResultIndex = appendScalarPublicationResult(state, sourceClass, packed, loc);
+  if (failed(publicationResultIndex))
     return failure();
 
   int64_t fragmentElementCount = fragmentType.getNumElements();
@@ -5657,7 +5639,7 @@ FailureOr<bool> recordProjectedScalarHostFragmentsFromPackedRun(MaterializerStat
       originalOutput,
       sourceClass.id,
       ProducerKey {peer, resultIndex},
-      *publicationResult,
+      *publicationResultIndex,
       static_cast<int64_t>(runIndex),
       static_cast<int64_t>(runIndex) * fragmentElementCount,
       SmallVector<int64_t, 4>(*offsets),
@@ -5711,8 +5693,8 @@ FailureOr<bool> recordProjectedScalarHostFragmentsFromPackedValue(MaterializerSt
   if (fragmentType == originalOutput.getType())
     return false;
 
-  FailureOr<Value> publicationResult = appendBatchPublicationResult(state, sourceClass, packed, loc);
-  if (failed(publicationResult))
+  FailureOr<unsigned> publicationResultIndex = appendBatchPublicationResult(state, sourceClass, packed, loc);
+  if (failed(publicationResultIndex))
     return failure();
 
   if (packedType != fragmentType) {
@@ -5764,7 +5746,7 @@ FailureOr<bool> recordProjectedScalarHostFragmentsFromPackedValue(MaterializerSt
       originalOutput,
       sourceClass.id,
       key,
-      *publicationResult,
+      *publicationResultIndex,
       static_cast<int64_t>(fragmentIndex),
       static_cast<int64_t>(*publishedLaneIndex) * payloadElementCount + localFragmentOffsetWithinPublishedPayload,
       SmallVector<int64_t, 4>(*offsets),
@@ -5787,18 +5769,26 @@ LogicalResult finalizeProjectedHostOutputFragments(MaterializerState& state) {
 
   SmallVector<Value, 8> outputs;
   outputs.reserve(byOutput.size());
-  for (const auto& entry : byOutput)
-    outputs.push_back(entry.first);
-  llvm::sort(outputs, [](Value lhs, Value rhs) {
-    return reinterpret_cast<uintptr_t>(lhs.getAsOpaquePointer())
-         < reinterpret_cast<uintptr_t>(rhs.getAsOpaquePointer());
-  });
 
   auto returnOp = dyn_cast<func::ReturnOp>(state.func.getBody().front().getTerminator());
   if (!returnOp)
     return state.func.emitError("expected func.return terminator while finalizing projected host output fragments");
 
+  DenseSet<Value> seenOutputs;
+  for (Value returned : returnOp.getOperands()) {
+    if (!byOutput.contains(returned) || !seenOutputs.insert(returned).second)
+      continue;
+    outputs.push_back(returned);
+  }
+  if (outputs.size() != byOutput.size())
+    return state.func.emitError("projected host output fragments must be keyed by returned logical host outputs");
+
   for (Value originalOutput : outputs) {
+    if (isa_and_present<SpatScheduledCompute, SpatScheduledComputeBatch>(originalOutput.getDefiningOp())) {
+      return state.func.emitError(
+        "projected host output assembly must be keyed by the original logical host output, not by a materialized scheduled result");
+    }
+
     auto resultType = dyn_cast<RankedTensorType>(originalOutput.getType());
     if (!resultType || !resultType.hasStaticShape())
       return state.func.emitError("projected host output must have static ranked tensor type");
@@ -5806,13 +5796,12 @@ LogicalResult finalizeProjectedHostOutputFragments(MaterializerState& state) {
     SmallVector<PendingProjectedHostOutputFragment*, 16>& fragments = byOutput[originalOutput];
     llvm::sort(fragments, [](const PendingProjectedHostOutputFragment* lhs,
                              const PendingProjectedHostOutputFragment* rhs) {
-      if (lhs->publicationValue != rhs->publicationValue)
-        return reinterpret_cast<uintptr_t>(lhs->publicationValue.getAsOpaquePointer())
-             < reinterpret_cast<uintptr_t>(rhs->publicationValue.getAsOpaquePointer());
-      if (lhs->sourceFragmentOrdinal != rhs->sourceFragmentOrdinal)
-        return lhs->sourceFragmentOrdinal < rhs->sourceFragmentOrdinal;
       if (lhs->sourceClass != rhs->sourceClass)
         return lhs->sourceClass < rhs->sourceClass;
+      if (lhs->publicationResultIndex != rhs->publicationResultIndex)
+        return lhs->publicationResultIndex < rhs->publicationResultIndex;
+      if (lhs->sourceFragmentOrdinal != rhs->sourceFragmentOrdinal)
+        return lhs->sourceFragmentOrdinal < rhs->sourceFragmentOrdinal;
       return std::lexicographical_compare(lhs->offsets.begin(),
                                           lhs->offsets.end(),
                                           rhs->offsets.begin(),
@@ -5821,7 +5810,7 @@ LogicalResult finalizeProjectedHostOutputFragments(MaterializerState& state) {
 
     state.rewriter.setInsertionPoint(returnOp);
     Location loc = fragments.front()->loc;
-    SmallVector<Value, 16> reconciliatorOperands;
+    SmallVector<Value, 16> blueprintOperands;
     SmallVector<int64_t, 16> fragmentOperandIndices;
     SmallVector<int64_t, 16> fragmentSourceOffsets;
     SmallVector<int64_t, 64> flatOffsets;
@@ -5830,12 +5819,23 @@ LogicalResult finalizeProjectedHostOutputFragments(MaterializerState& state) {
     DenseMap<Value, int64_t> operandIndicesByValue;
 
     for (PendingProjectedHostOutputFragment* fragmentRecord : fragments) {
-      Value operand = fragmentRecord->publicationValue;
+      if (fragmentRecord->sourceClass >= state.classes.size())
+        return state.func.emitError("projected host output fragment references an invalid source class");
+
+      MaterializedClass& sourceClass = state.classes[fragmentRecord->sourceClass];
+      if (fragmentRecord->publicationResultIndex >= sourceClass.op->getNumResults()) {
+        return sourceClass.op->emitError("projected host output fragment references an invalid publication result")
+               << " sourceClass=" << sourceClass.id
+               << " resultIndex=" << fragmentRecord->publicationResultIndex
+               << " resultCount=" << sourceClass.op->getNumResults();
+      }
+
+      Value operand = sourceClass.op->getResult(fragmentRecord->publicationResultIndex);
 
       auto [operandIt, inserted] =
-        operandIndicesByValue.try_emplace(operand, static_cast<int64_t>(reconciliatorOperands.size()));
+        operandIndicesByValue.try_emplace(operand, static_cast<int64_t>(blueprintOperands.size()));
       if (inserted)
-        reconciliatorOperands.push_back(operand);
+        blueprintOperands.push_back(operand);
       fragmentOperandIndices.push_back(operandIt->second);
       fragmentSourceOffsets.push_back(fragmentRecord->sourceElementOffset);
       llvm::append_range(flatOffsets, fragmentRecord->offsets);
@@ -5847,12 +5847,12 @@ LogicalResult finalizeProjectedHostOutputFragments(MaterializerState& state) {
         return state.func.emitError("projected host output assembly requires static ranked tensor operands");
     }
 
-    if (reconciliatorOperands.empty())
+    if (blueprintOperands.empty())
       return state.func.emitError("missing projected host output fragments");
 
-    Value input = reconciliatorOperands.front();
-    ValueRange extraFragments = ValueRange(reconciliatorOperands).drop_front();
-    auto reconciliator = spatial::SpatReconciliatorOp::create(
+    Value input = blueprintOperands.front();
+    ValueRange extraFragments = ValueRange(blueprintOperands).drop_front();
+    auto blueprint = spatial::SpatBlueprintOp::create(
       state.rewriter,
       loc,
       resultType,
@@ -5870,7 +5870,7 @@ LogicalResult finalizeProjectedHostOutputFragments(MaterializerState& state) {
       state.rewriter.getStringAttr("disjoint"),
       state.rewriter.getStringAttr("complete"));
 
-    state.hostReplacements[originalOutput] = reconciliator.getOutput();
+    state.hostReplacements[originalOutput] = blueprint.getOutput();
   }
 
   return success();
@@ -6284,6 +6284,32 @@ LogicalResult cloneComputeTemplateBody(MaterializerState& state,
         mapper.map(operand, *localized);
     }
 
+    if (auto extract = dyn_cast<tensor::ExtractSliceOp>(&op)) {
+      auto remapFoldResult = [&](OpFoldResult value) -> OpFoldResult {
+        if (auto mappedValue = dyn_cast_if_present<Value>(value))
+          return mapper.lookupOrDefault(mappedValue);
+        return value;
+      };
+
+      SmallVector<OpFoldResult, 4> offsets;
+      SmallVector<OpFoldResult, 4> sizes;
+      SmallVector<OpFoldResult, 4> strides;
+      offsets.reserve(extract.getMixedOffsets().size());
+      sizes.reserve(extract.getMixedSizes().size());
+      strides.reserve(extract.getMixedStrides().size());
+
+      llvm::append_range(offsets, llvm::map_range(extract.getMixedOffsets(), remapFoldResult));
+      llvm::append_range(sizes, llvm::map_range(extract.getMixedSizes(), remapFoldResult));
+      llvm::append_range(strides, llvm::map_range(extract.getMixedStrides(), remapFoldResult));
+
+      auto resultType = cast<RankedTensorType>(extract.getType());
+      Value localizedSource = mapper.lookupOrDefault(extract.getSource());
+      Value localizedExtract = extractStaticSliceOrIdentity(
+        state.rewriter, extract.getLoc(), localizedSource, resultType, offsets, sizes, strides);
+      mapper.map(extract.getResult(), localizedExtract);
+      continue;
+    }
+
     Operation* cloned = state.rewriter.clone(op, mapper);
     if (failed(mapClonedRegionBlockArguments(op, *cloned, mapper)))
       return failure();
@@ -6350,18 +6376,20 @@ FailureOr<Value> materializeProjectedExtractReplacement(MaterializerState& state
       if (failed(localizedIv))
         return failure();
       Value iv = *localizedIv;
-      Value lowerBound =
-        getOrCreateIndexConstant(state.constantFolder, targetClass.op, replacement.layout.loopLowerBounds[index]);
-      Value step = getOrCreateIndexConstant(state.constantFolder, targetClass.op, replacement.layout.loopSteps[index]);
-      Value tripCount =
-        getOrCreateIndexConstant(state.constantFolder, targetClass.op, replacement.layout.loopTripCounts[index]);
+      MLIRContext* context = state.func.getContext();
+      AffineExpr d0 = getAffineDimExpr(0, context);
+      AffineMap normalizedMap =
+        AffineMap::get(/*dimCount=*/1,
+                       /*symbolCount=*/0,
+                       (d0 - replacement.layout.loopLowerBounds[index]).floorDiv(replacement.layout.loopSteps[index]));
+      Value normalized =
+        createOrFoldAffineApply(state.rewriter, extract.getLoc(), normalizedMap, ValueRange {iv}, targetClass.op);
 
-      Value normalized = arith::SubIOp::create(state.rewriter, extract.getLoc(), iv, lowerBound).getResult();
-      if (replacement.layout.loopSteps[index] != 1)
-        normalized = arith::DivUIOp::create(state.rewriter, extract.getLoc(), normalized, step).getResult();
-      linearizedIndex = arith::MulIOp::create(state.rewriter, extract.getLoc(), linearizedIndex, tripCount).getResult();
-      linearizedIndex =
-        arith::AddIOp::create(state.rewriter, extract.getLoc(), linearizedIndex, normalized).getResult();
+      AffineExpr d1 = getAffineDimExpr(1, context);
+      AffineMap linearizedMap = AffineMap::get(
+        /*dimCount=*/2, /*symbolCount=*/0, d0 * replacement.layout.loopTripCounts[index] + d1);
+      linearizedIndex = createOrFoldAffineApply(
+        state.rewriter, extract.getLoc(), linearizedMap, ValueRange {linearizedIndex, normalized}, targetClass.op);
     }
     return linearizedIndex;
   };
@@ -6386,12 +6414,16 @@ FailureOr<Value> materializeProjectedExtractReplacement(MaterializerState& state
     if (failed(localProjectionSlotIndex))
       return failure();
 
-    Value fragmentsPerLogicalSlot =
-      getOrCreateIndexConstant(state.constantFolder, targetClass.op, replacement.layout.fragmentsPerLogicalSlot);
-    Value base =
-      arith::MulIOp::create(state.rewriter, extract.getLoc(), *localProjectionSlotIndex, fragmentsPerLogicalSlot)
-        .getResult();
-    return arith::AddIOp::create(state.rewriter, extract.getLoc(), base, intraSlotFragmentIndex).getResult();
+    MLIRContext* context = state.func.getContext();
+    AffineExpr d0 = getAffineDimExpr(0, context);
+    AffineExpr d1 = getAffineDimExpr(1, context);
+    AffineMap packedIndexMap = AffineMap::get(
+      /*dimCount=*/2, /*symbolCount=*/0, d0 * replacement.layout.fragmentsPerLogicalSlot + d1);
+    return createOrFoldAffineApply(state.rewriter,
+                                   extract.getLoc(),
+                                   packedIndexMap,
+                                   ValueRange {*localProjectionSlotIndex, intraSlotFragmentIndex},
+                                   targetClass.op);
   };
 
   FailureOr<Value> packedFragmentIndex = computeProjectedPayloadFragmentIndex();
@@ -6445,18 +6477,18 @@ LogicalResult localizeCapturesInOperationTree(MaterializerState& state,
         localizeMaterializedClassOperand(state, targetClass, current, nestedOp, tensorContext, genericContext, mapper);
       if (failed(localized)) {
         InFlightDiagnostic diagnostic = targetClass.op->emitError(
-          "RAPTOR_MATERIALIZER_DEBUG failed to localize cloned scheduled-body operand");
+          "failed to localize cloned scheduled-body operand");
         diagnostic << " targetClass=" << targetClass.id << " nestedOp='" << nestedOp->getName()
                    << "' operand#" << operand.getOperandNumber() << " operandType=" << current.getType()
                    << " offendingIR=\"" << truncateMaterializerDebugString(stringifyOperationForMaterializerDebug(nestedOp))
                    << "\" offendingOperands=\"" << formatMaterializerOperandListInline(nestedOp, targetClass)
                    << "\" parentChain=\"" << formatMaterializerParentChainInline(nestedOp) << "\"";
         diagnostic.attachNote(nestedOp->getLoc()) << "offending nested operation";
-        attachMaterializerOperationPrintNote(diagnostic, nestedOp, "RAPTOR_MATERIALIZER_DEBUG offending nested operation IR");
-        attachMaterializerOperandListNote(diagnostic, nestedOp, targetClass, "RAPTOR_MATERIALIZER_DEBUG offending nested operation operands");
-        attachMaterializerParentChainNote(diagnostic, nestedOp, "RAPTOR_MATERIALIZER_DEBUG offending nested operation parent chain");
+        attachMaterializerOperationPrintNote(diagnostic, nestedOp, "offending nested operation IR");
+        attachMaterializerOperandListNote(diagnostic, nestedOp, targetClass, "offending nested operation operands");
+        attachMaterializerParentChainNote(diagnostic, nestedOp, "offending nested operation parent chain");
         attachMaterializerValueOriginNote(diagnostic, current, "offending operand");
-        attachMaterializerOperationPrintNote(diagnostic, targetClass.op, "RAPTOR_MATERIALIZER_DEBUG target materialized op");
+        attachMaterializerOperationPrintNote(diagnostic, targetClass.op, "target materialized op");
         attachMaterializedClassBodySummary(diagnostic, targetClass);
         return WalkResult::interrupt();
       }
@@ -6505,7 +6537,7 @@ LogicalResult localizeAllScheduledBodyCaptures(MaterializerState& state, Materia
         "final scheduled body capture localization found an unsupported external non-tensor operand");
       if (failed(localized)) {
         InFlightDiagnostic diagnostic = targetClass.op->emitError(
-          "RAPTOR_MATERIALIZER_DEBUG failed to localize final scheduled-body operand");
+          "failed to localize final scheduled-body operand");
         diagnostic << " targetClass=" << targetClass.id << " nestedOp='" << nestedOp->getName()
                    << "' operand#" << operand.getOperandNumber() << " operandType=" << current.getType()
                    << " offendingIR=\"" << truncateMaterializerDebugString(stringifyOperationForMaterializerDebug(nestedOp))

src/PIM/Dialect/Spatial/Transforms/MergeComputeNodes/MaterializeMergeSchedule.cpp.rej

@@ -1,128 +0,0 @@
---- src/PIM/Dialect/Spatial/Transforms/MergeComputeNodes/MaterializeMergeSchedule.cpp	2026-06-24 18:51:29.043731129 +0000
-+++ src/PIM/Dialect/Spatial/Transforms/MergeComputeNodes/MaterializeMergeSchedule.cpp	2026-06-24 18:51:29.026726895 +0000
-@@ -4112,104 +4112,8 @@
-                                                                 Value originalOutput,
-                                                                 Location loc);
- 
--FailureOr<SmallVector<OpFoldResult, 4>> rematerializeProjectionIndexListForBatchHostOutput(
--  MaterializerState& state,
--  MaterializedClass& sourceClass,
--  ArrayRef<OpFoldResult> values,
--  IRMapping& mapper,
--  Location loc) {
--  SmallVector<OpFoldResult, 4> localized;
--  localized.reserve(values.size());
--  for (OpFoldResult value : values) {
--    FailureOr<OpFoldResult> remapped =
--      rematerializeIndexOpFoldResultInClass(state, sourceClass, value, loc, &mapper);
--    if (failed(remapped))
--      return failure();
--    localized.push_back(*remapped);
--  }
--  return localized;
--}
--
--LogicalResult createProjectionAwareBatchHostInsert(MaterializerState& state,
--                                                  MaterializedClass& sourceClass,
--                                                  Value originalOutput,
--                                                  Value payload,
--                                                  Value destination,
--                                                  ArrayRef<ProducerKey> keys,
--                                                  Location loc) {
--  auto originalResult = dyn_cast<OpResult>(originalOutput);
--  if (!originalResult)
--    return failure();
--
--  auto sourceBatch = dyn_cast_or_null<SpatComputeBatch>(originalResult.getOwner());
--  if (!sourceBatch || sourceBatch.getNumResults() == 0)
--    return failure();
--
--  FailureOr<tensor::ParallelInsertSliceOp> projection =
--    getBatchResultProjectionInsert(sourceBatch, originalResult.getResultNumber());
--  if (failed(projection))
--    return failure();
--
--  auto sourceLaneArg = sourceBatch.getLaneArgument();
--  if (!sourceLaneArg)
--    return failure();
--
--  auto materializedBatch = dyn_cast<SpatScheduledComputeBatch>(sourceClass.op);
--  if (!materializedBatch)
--    return failure();
--
--  auto materializedLaneArg = materializedBatch.getLaneArgument();
--  if (!materializedLaneArg)
--    return failure();
--
--  if (keys.size() != sourceClass.cpus.size())
--    return failure();
--
--  SmallVector<int64_t, 8> logicalLanes;
--  logicalLanes.reserve(keys.size());
--  for (ProducerKey key : keys) {
--    if (key.instance.op != sourceBatch.getOperation() || key.resultIndex != originalResult.getResultNumber())
--      return failure();
--    logicalLanes.push_back(key.instance.laneStart);
--  }
--
--  IRMapping mapper;
--  Value logicalLane = createIndexedIndexValue(state,
--                                             sourceClass.op,
--                                             ArrayRef<int64_t>(logicalLanes),
--                                             *materializedLaneArg,
--                                             loc,
--                                             static_cast<int64_t>(sourceClass.cpus.size()),
--                                             /*allowExhaustiveTiledSearch=*/false);
--  mapper.map(*sourceLaneArg, logicalLane);
--
--  FailureOr<SmallVector<OpFoldResult, 4>> offsets =
--    rematerializeProjectionIndexListForBatchHostOutput(
--      state, sourceClass, projection->getMixedOffsets(), mapper, loc);
--  if (failed(offsets))
--    return failure();
--  FailureOr<SmallVector<OpFoldResult, 4>> sizes =
--    rematerializeProjectionIndexListForBatchHostOutput(
--      state, sourceClass, projection->getMixedSizes(), mapper, loc);
--  if (failed(sizes))
--    return failure();
--  FailureOr<SmallVector<OpFoldResult, 4>> strides =
--    rematerializeProjectionIndexListForBatchHostOutput(
--      state, sourceClass, projection->getMixedStrides(), mapper, loc);
--  if (failed(strides))
--    return failure();
--
--  tensor::ParallelInsertSliceOp::create(
--    state.rewriter, loc, payload, destination, *offsets, *sizes, *strides);
--  return success();
--}
--
- LogicalResult
--setHostOutputValue(MaterializerState& state,
--                   MaterializedClass& sourceClass,
--                   Value originalOutput,
--                   Value payload,
--                   ArrayRef<ProducerKey> keys = {}) {
-+setHostOutputValue(MaterializerState& state, MaterializedClass& sourceClass, Value originalOutput, Value payload) {
-   auto resultIt = sourceClass.hostOutputToResultIndex.find(originalOutput);
-   if (resultIt == sourceClass.hostOutputToResultIndex.end())
-     return sourceClass.op->emitError("missing host result slot for materialized output")
-@@ -4253,10 +4157,6 @@
-     return batch.emitOpError("expected compute_batch output block argument while materializing batch output");
- 
-   state.rewriter.setInsertionPointToStart(&inParallelOp.getRegion().front());
--  if (succeeded(createProjectionAwareBatchHostInsert(
--        state, sourceClass, originalOutput, payload, *outputArg, keys, payload.getLoc())))
--    return success();
--
-   createDim0ParallelInsertSlice(state, payload.getLoc(), payload, *outputArg, *laneArg);
-   return success();
- }
-@@ -4276,7 +4176,7 @@
- 
-   MaterializedClass& ownerClass = state.classes[ownerIt->second];
-   if (sourceClass.id == ownerClass.id)
--    return setHostOutputValue(state, ownerClass, originalOutput, payload, keys);
-+    return setHostOutputValue(state, ownerClass, originalOutput, payload);
- 
-   // Keep the old deadlock-free communication discipline: only scalar-to-scalar
-   // host-owner forwarding is introduced here. Batch host publication remains on

src/PIM/Dialect/Spatial/Transforms/MergeComputeNodes/MergeComputeNodesPass.cpp

@@ -354,13 +354,13 @@ public:
   void runOnOperation() override {
     func::FuncOp func = getOperation();
     if (failed(verifyLogicalSpatialGraphInvariants(func))) {
-      func.emitOpError("RAPTOR_PHASE_CHECK logical Spatial graph verification failed at the start of MergeComputeNodes");
+      func.emitOpError("logical Spatial graph verification failed at the start of MergeComputeNodes");
       signalPassFailure();
       return;
     }
     mergeTriviallyConnectedComputes(func);
     if (failed(verifyLogicalSpatialGraphInvariants(func))) {
-      func.emitOpError("RAPTOR_PHASE_CHECK logical Spatial graph verification failed after trivial merge simplification");
+      func.emitOpError("logical Spatial graph verification failed after trivial merge simplification");
       signalPassFailure();
       return;
     }
@@ -378,7 +378,7 @@ public:
       return;
     }
     if (failed(verifyScheduledSpatialInvariants(func))) {
-      func.emitOpError("RAPTOR_PHASE_CHECK scheduled Spatial verification failed after merge materialization");
+      func.emitOpError("scheduled Spatial verification failed after merge materialization");
       signalPassFailure();
       return;
     }