This commit is contained in:
+137
-105
@@ -30,6 +30,7 @@
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#include "src/Accelerators/PIM/Common/IR/LoopUtils.hpp"
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#include "src/Accelerators/PIM/Common/PimCommon.hpp"
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#include "src/Accelerators/PIM/Common/Support/CheckedArithmetic.hpp"
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#include "src/Accelerators/PIM/Conversion/ONNXToSpatial/Common/ShapeTilingUtils.hpp"
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#include "src/Accelerators/PIM/Dialect/Spatial/SpatialOps.hpp"
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using namespace mlir;
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@@ -308,7 +309,7 @@ struct PendingProjectedHostOutputFragment {
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Value originalOutput;
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ClassId sourceClass = 0;
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ProducerKey producerKey;
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Value publicationValue;
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unsigned publicationResultIndex = 0;
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int64_t sourceFragmentOrdinal = 0;
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int64_t sourceElementOffset = 0;
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SmallVector<int64_t, 4> offsets;
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@@ -1220,36 +1221,13 @@ BlockArgument appendInput(MaterializerState& state, MaterializedClass& materiali
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return std::get<1>(*arg);
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}
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void refreshPendingProjectedHostOutputPublicationValues(MaterializerState& state,
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Operation* oldOwner,
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Operation* newOwner) {
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if (!oldOwner || oldOwner == newOwner)
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return;
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for (PendingProjectedHostOutputFragment& fragment : state.pendingProjectedHostOutputFragments) {
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auto publicationResult = dyn_cast_or_null<OpResult>(fragment.publicationValue);
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if (!publicationResult || publicationResult.getOwner() != oldOwner)
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publicationResult = OpResult();
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else
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fragment.publicationValue = newOwner->getResult(publicationResult.getResultNumber());
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if (auto originalResult = dyn_cast_or_null<OpResult>(fragment.originalOutput); originalResult
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&& originalResult.getOwner() == oldOwner) {
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fragment.originalOutput = newOwner->getResult(originalResult.getResultNumber());
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}
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if (fragment.producerKey.instance.op == oldOwner)
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fragment.producerKey.instance.op = newOwner;
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}
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}
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FailureOr<Value> appendScalarPublicationResult(MaterializerState& state,
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MaterializedClass& materializedClass,
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Value payload,
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Location loc) {
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FailureOr<unsigned> appendScalarPublicationResult(MaterializerState& state,
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MaterializedClass& materializedClass,
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Value payload,
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Location loc) {
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auto existing = materializedClass.publicationOutputToResultIndex.find(payload);
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if (existing != materializedClass.publicationOutputToResultIndex.end())
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return materializedClass.op->getResult(existing->second);
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return existing->second;
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auto compute = dyn_cast<SpatScheduledCompute>(materializedClass.op);
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if (!compute)
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@@ -1264,27 +1242,25 @@ FailureOr<Value> appendScalarPublicationResult(MaterializerState& state,
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if (failed(inserted))
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return materializedClass.op->emitError("failed to append scalar publication result");
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Operation* oldOp = materializedClass.op;
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auto [result, newCompute] = *inserted;
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materializedClass.op = newCompute.getOperation();
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materializedClass.body = &newCompute.getBody().front();
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refreshPendingProjectedHostOutputPublicationValues(state, oldOp, materializedClass.op);
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materializedClass.publicationOutputToResultIndex[payload] = result.getResultNumber();
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auto yieldOp = dyn_cast<SpatYieldOp>(materializedClass.body->getTerminator());
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if (!yieldOp)
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return materializedClass.op->emitError("expected spat.yield terminator while appending scalar publication result");
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state.rewriter.modifyOpInPlace(yieldOp, [&] { yieldOp->insertOperands(yieldOp.getNumOperands(), payload); });
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return result;
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return result.getResultNumber();
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}
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FailureOr<Value> appendBatchPublicationResult(MaterializerState& state,
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MaterializedClass& materializedClass,
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Value payload,
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Location loc) {
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FailureOr<unsigned> appendBatchPublicationResult(MaterializerState& state,
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MaterializedClass& materializedClass,
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Value payload,
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Location loc) {
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auto existing = materializedClass.publicationOutputToResultIndex.find(payload);
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if (existing != materializedClass.publicationOutputToResultIndex.end())
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return materializedClass.op->getResult(existing->second);
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return existing->second;
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auto batch = dyn_cast<SpatScheduledComputeBatch>(materializedClass.op);
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if (!batch)
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@@ -1305,11 +1281,9 @@ FailureOr<Value> appendBatchPublicationResult(MaterializerState& state,
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if (failed(inserted))
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return materializedClass.op->emitError("failed to append batch publication result");
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Operation* oldOp = materializedClass.op;
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auto [result, outputArg, newBatch] = *inserted;
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materializedClass.op = newBatch.getOperation();
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materializedClass.body = &newBatch.getBody().front();
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refreshPendingProjectedHostOutputPublicationValues(state, oldOp, materializedClass.op);
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materializedClass.publicationOutputToResultIndex[payload] = result.getResultNumber();
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auto inParallelOp = dyn_cast<SpatInParallelOp>(materializedClass.body->getTerminator());
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@@ -1330,7 +1304,7 @@ FailureOr<Value> appendBatchPublicationResult(MaterializerState& state,
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Value firstOffset =
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scaleIndexByDim0Size(state, materializedClass.op, *laneArg, payloadType.getDimSize(0), loc);
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createDim0ParallelInsertSlice(state, loc, payload, outputArg, firstOffset);
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return result;
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return result.getResultNumber();
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}
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// -----------------------------------------------------------------------------
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@@ -1563,7 +1537,7 @@ void attachMaterializerValueOriginNote(InFlightDiagnostic& diagnostic, Value val
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void attachMaterializedClassBodySummary(InFlightDiagnostic& diagnostic, const MaterializedClass& targetClass) {
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Block& body = *targetClass.body;
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diagnostic.attachNote(targetClass.op->getLoc())
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<< "RAPTOR_MATERIALIZER_DEBUG target class " << targetClass.id << " op '" << targetClass.op->getName()
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<< "target class " << targetClass.id << " op '" << targetClass.op->getName()
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<< "' body has " << body.getNumArguments() << " block arguments and "
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<< std::distance(body.begin(), body.end()) << " top-level operations";
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}
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@@ -1687,7 +1661,7 @@ FailureOr<Value> rematerializeIndexValueInClass(MaterializerState& state,
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if (auto blockArg = dyn_cast<BlockArgument>(value)) {
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InFlightDiagnostic diagnostic = targetClass.op->emitError(
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"RAPTOR_MATERIALIZER_DEBUG cannot rematerialize external block argument in materialized class body");
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"cannot rematerialize external block argument in materialized class body");
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diagnostic << " currentArg#" << blockArg.getArgNumber() << " currentType=" << blockArg.getType()
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<< " targetClass=" << targetClass.id << " targetOp='" << targetClass.op->getName() << "'";
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if (Operation* owner = blockArg.getOwner()->getParentOp()) {
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@@ -1709,16 +1683,16 @@ FailureOr<Value> rematerializeIndexValueInClass(MaterializerState& state,
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if (mapperHadOriginalValue && mappedOriginalValue != value)
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attachMaterializerValueOriginNote(diagnostic, mappedOriginalValue, "mapper value");
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if (Operation* owner = blockArg.getOwner()->getParentOp()) {
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attachMaterializerOperationPrintNote(diagnostic, owner, "RAPTOR_MATERIALIZER_DEBUG external block argument owner op");
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attachMaterializerParentChainNote(diagnostic, owner, "RAPTOR_MATERIALIZER_DEBUG external block argument owner parent chain");
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attachMaterializerOperationPrintNote(diagnostic, owner, "external block argument owner op");
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attachMaterializerParentChainNote(diagnostic, owner, "external block argument owner parent chain");
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}
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attachMaterializerOperationPrintNote(diagnostic, targetClass.op, "RAPTOR_MATERIALIZER_DEBUG target materialized op");
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attachMaterializerOperationPrintNote(diagnostic, targetClass.op, "target materialized op");
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attachMaterializedClassBodySummary(diagnostic, targetClass);
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return failure();
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}
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InFlightDiagnostic diagnostic =
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targetClass.op->emitError("RAPTOR_MATERIALIZER_DEBUG cannot rematerialize external index value in materialized class body");
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targetClass.op->emitError("cannot rematerialize external index value in materialized class body");
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diagnostic << " type=" << value.getType() << " targetClass=" << targetClass.id << " targetOp='"
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<< targetClass.op->getName() << "'";
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attachMaterializerValueOriginNote(diagnostic, originalValue, "original value");
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@@ -1793,8 +1767,12 @@ FailureOr<Value> rematerializeTensorValueInClass(MaterializerState& state,
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strides.push_back(*localized);
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}
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return tensor::ExtractSliceOp::create(state.rewriter, anchor->getLoc(), *localizedSource, offsets, sizes, strides)
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.getResult();
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auto resultType = dyn_cast<RankedTensorType>(extractSlice.getResult().getType());
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if (!resultType)
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return anchor->emitError("expected ranked tensor extract_slice while rematerializing tensor capture");
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return extractStaticSliceOrIdentity(
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state.rewriter, anchor->getLoc(), *localizedSource, resultType, offsets, sizes, strides);
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}
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if (auto collapseShape = value.getDefiningOp<tensor::CollapseShapeOp>()) {
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@@ -2108,8 +2086,10 @@ Value scaleIndexByDim0Size(MaterializerState& state, Operation* anchor, Value in
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if (dim0Size == 1)
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return index;
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Value dim0SizeValue = getOrCreateIndexConstant(state.constantFolder, anchor, dim0Size);
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return arith::MulIOp::create(state.rewriter, loc, index, dim0SizeValue).getResult();
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MLIRContext* context = state.func.getContext();
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AffineExpr d0 = getAffineDimExpr(0, context);
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AffineMap map = AffineMap::get(/*dimCount=*/1, /*symbolCount=*/0, d0 * dim0Size);
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return createOrFoldAffineApply(state.rewriter, loc, map, ValueRange {index}, anchor);
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}
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FailureOr<Value> scaleIndexByDim0SizeInClass(MaterializerState& state,
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@@ -2123,8 +2103,7 @@ FailureOr<Value> scaleIndexByDim0SizeInClass(MaterializerState& state,
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if (dim0Size == 1)
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return *localizedIndex;
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Value dim0SizeValue = getOrCreateIndexConstant(state.constantFolder, targetClass.op, dim0Size);
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return arith::MulIOp::create(state.rewriter, loc, *localizedIndex, dim0SizeValue).getResult();
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return scaleIndexByDim0Size(state, targetClass.op, *localizedIndex, dim0Size, loc);
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}
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bool sameProducerResult(ProducerKey lhs, ProducerKey rhs) {
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@@ -3677,10 +3656,13 @@ FailureOr<Value> buildProjectedPackedPayload(MaterializerState& state,
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ValueRange {init},
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[&](OpBuilder&, Location, Value fragmentIndex, ValueRange iterArgs, SmallVectorImpl<Value>& yielded) {
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Value acc = iterArgs.front();
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Value payloadFragmentCount =
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getOrCreateIndexConstant(state.constantFolder, targetClass.op, descriptor.layout.payloadFragmentCount);
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Value flatBase = arith::MulIOp::create(state.rewriter, loc, *localizedMessageIndex, payloadFragmentCount).getResult();
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Value flatIndex = arith::AddIOp::create(state.rewriter, loc, flatBase, fragmentIndex).getResult();
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MLIRContext* context = state.func.getContext();
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AffineExpr d0 = getAffineDimExpr(0, context);
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AffineExpr d1 = getAffineDimExpr(1, context);
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AffineMap flatIndexMap =
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AffineMap::get(/*dimCount=*/2, /*symbolCount=*/0, d0 * descriptor.layout.payloadFragmentCount + d1);
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Value flatIndex = createOrFoldAffineApply(
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state.rewriter, loc, flatIndexMap, ValueRange {*localizedMessageIndex, fragmentIndex}, targetClass.op);
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FailureOr<SmallVector<OpFoldResult, 4>> fragmentOffsets =
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buildProjectedFragmentOffsetsInClass(state, targetClass, descriptor, flatIndex, loc);
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@@ -5618,8 +5600,8 @@ FailureOr<bool> recordProjectedScalarHostFragmentsFromPackedRun(MaterializerStat
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return failure();
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}
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FailureOr<Value> publicationResult = appendScalarPublicationResult(state, sourceClass, packed, loc);
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if (failed(publicationResult))
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FailureOr<unsigned> publicationResultIndex = appendScalarPublicationResult(state, sourceClass, packed, loc);
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if (failed(publicationResultIndex))
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return failure();
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int64_t fragmentElementCount = fragmentType.getNumElements();
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@@ -5657,7 +5639,7 @@ FailureOr<bool> recordProjectedScalarHostFragmentsFromPackedRun(MaterializerStat
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originalOutput,
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sourceClass.id,
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ProducerKey {peer, resultIndex},
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*publicationResult,
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*publicationResultIndex,
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static_cast<int64_t>(runIndex),
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static_cast<int64_t>(runIndex) * fragmentElementCount,
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SmallVector<int64_t, 4>(*offsets),
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@@ -5711,8 +5693,8 @@ FailureOr<bool> recordProjectedScalarHostFragmentsFromPackedValue(MaterializerSt
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if (fragmentType == originalOutput.getType())
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return false;
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FailureOr<Value> publicationResult = appendBatchPublicationResult(state, sourceClass, packed, loc);
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if (failed(publicationResult))
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FailureOr<unsigned> publicationResultIndex = appendBatchPublicationResult(state, sourceClass, packed, loc);
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if (failed(publicationResultIndex))
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return failure();
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if (packedType != fragmentType) {
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@@ -5764,7 +5746,7 @@ FailureOr<bool> recordProjectedScalarHostFragmentsFromPackedValue(MaterializerSt
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originalOutput,
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sourceClass.id,
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key,
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*publicationResult,
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*publicationResultIndex,
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static_cast<int64_t>(fragmentIndex),
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static_cast<int64_t>(*publishedLaneIndex) * payloadElementCount + localFragmentOffsetWithinPublishedPayload,
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SmallVector<int64_t, 4>(*offsets),
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@@ -5787,18 +5769,26 @@ LogicalResult finalizeProjectedHostOutputFragments(MaterializerState& state) {
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SmallVector<Value, 8> outputs;
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outputs.reserve(byOutput.size());
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for (const auto& entry : byOutput)
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outputs.push_back(entry.first);
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llvm::sort(outputs, [](Value lhs, Value rhs) {
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return reinterpret_cast<uintptr_t>(lhs.getAsOpaquePointer())
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< reinterpret_cast<uintptr_t>(rhs.getAsOpaquePointer());
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});
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auto returnOp = dyn_cast<func::ReturnOp>(state.func.getBody().front().getTerminator());
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if (!returnOp)
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return state.func.emitError("expected func.return terminator while finalizing projected host output fragments");
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DenseSet<Value> seenOutputs;
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for (Value returned : returnOp.getOperands()) {
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if (!byOutput.contains(returned) || !seenOutputs.insert(returned).second)
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continue;
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outputs.push_back(returned);
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}
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if (outputs.size() != byOutput.size())
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return state.func.emitError("projected host output fragments must be keyed by returned logical host outputs");
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for (Value originalOutput : outputs) {
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if (isa_and_present<SpatScheduledCompute, SpatScheduledComputeBatch>(originalOutput.getDefiningOp())) {
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return state.func.emitError(
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"projected host output assembly must be keyed by the original logical host output, not by a materialized scheduled result");
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}
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auto resultType = dyn_cast<RankedTensorType>(originalOutput.getType());
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if (!resultType || !resultType.hasStaticShape())
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return state.func.emitError("projected host output must have static ranked tensor type");
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@@ -5806,13 +5796,12 @@ LogicalResult finalizeProjectedHostOutputFragments(MaterializerState& state) {
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SmallVector<PendingProjectedHostOutputFragment*, 16>& fragments = byOutput[originalOutput];
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llvm::sort(fragments, [](const PendingProjectedHostOutputFragment* lhs,
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const PendingProjectedHostOutputFragment* rhs) {
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if (lhs->publicationValue != rhs->publicationValue)
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return reinterpret_cast<uintptr_t>(lhs->publicationValue.getAsOpaquePointer())
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< reinterpret_cast<uintptr_t>(rhs->publicationValue.getAsOpaquePointer());
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if (lhs->sourceFragmentOrdinal != rhs->sourceFragmentOrdinal)
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return lhs->sourceFragmentOrdinal < rhs->sourceFragmentOrdinal;
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if (lhs->sourceClass != rhs->sourceClass)
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return lhs->sourceClass < rhs->sourceClass;
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if (lhs->publicationResultIndex != rhs->publicationResultIndex)
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return lhs->publicationResultIndex < rhs->publicationResultIndex;
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if (lhs->sourceFragmentOrdinal != rhs->sourceFragmentOrdinal)
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return lhs->sourceFragmentOrdinal < rhs->sourceFragmentOrdinal;
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return std::lexicographical_compare(lhs->offsets.begin(),
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lhs->offsets.end(),
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rhs->offsets.begin(),
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@@ -5821,7 +5810,7 @@ LogicalResult finalizeProjectedHostOutputFragments(MaterializerState& state) {
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state.rewriter.setInsertionPoint(returnOp);
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Location loc = fragments.front()->loc;
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SmallVector<Value, 16> reconciliatorOperands;
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SmallVector<Value, 16> blueprintOperands;
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SmallVector<int64_t, 16> fragmentOperandIndices;
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SmallVector<int64_t, 16> fragmentSourceOffsets;
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SmallVector<int64_t, 64> flatOffsets;
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@@ -5830,12 +5819,23 @@ LogicalResult finalizeProjectedHostOutputFragments(MaterializerState& state) {
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DenseMap<Value, int64_t> operandIndicesByValue;
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for (PendingProjectedHostOutputFragment* fragmentRecord : fragments) {
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Value operand = fragmentRecord->publicationValue;
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if (fragmentRecord->sourceClass >= state.classes.size())
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return state.func.emitError("projected host output fragment references an invalid source class");
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MaterializedClass& sourceClass = state.classes[fragmentRecord->sourceClass];
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if (fragmentRecord->publicationResultIndex >= sourceClass.op->getNumResults()) {
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return sourceClass.op->emitError("projected host output fragment references an invalid publication result")
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<< " sourceClass=" << sourceClass.id
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<< " resultIndex=" << fragmentRecord->publicationResultIndex
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<< " resultCount=" << sourceClass.op->getNumResults();
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}
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Value operand = sourceClass.op->getResult(fragmentRecord->publicationResultIndex);
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auto [operandIt, inserted] =
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operandIndicesByValue.try_emplace(operand, static_cast<int64_t>(reconciliatorOperands.size()));
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operandIndicesByValue.try_emplace(operand, static_cast<int64_t>(blueprintOperands.size()));
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if (inserted)
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reconciliatorOperands.push_back(operand);
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blueprintOperands.push_back(operand);
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fragmentOperandIndices.push_back(operandIt->second);
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fragmentSourceOffsets.push_back(fragmentRecord->sourceElementOffset);
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llvm::append_range(flatOffsets, fragmentRecord->offsets);
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@@ -5847,12 +5847,12 @@ LogicalResult finalizeProjectedHostOutputFragments(MaterializerState& state) {
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return state.func.emitError("projected host output assembly requires static ranked tensor operands");
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}
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if (reconciliatorOperands.empty())
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if (blueprintOperands.empty())
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return state.func.emitError("missing projected host output fragments");
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Value input = reconciliatorOperands.front();
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ValueRange extraFragments = ValueRange(reconciliatorOperands).drop_front();
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auto reconciliator = spatial::SpatReconciliatorOp::create(
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Value input = blueprintOperands.front();
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ValueRange extraFragments = ValueRange(blueprintOperands).drop_front();
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auto blueprint = spatial::SpatBlueprintOp::create(
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state.rewriter,
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loc,
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resultType,
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@@ -5870,7 +5870,7 @@ LogicalResult finalizeProjectedHostOutputFragments(MaterializerState& state) {
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state.rewriter.getStringAttr("disjoint"),
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state.rewriter.getStringAttr("complete"));
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state.hostReplacements[originalOutput] = reconciliator.getOutput();
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state.hostReplacements[originalOutput] = blueprint.getOutput();
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}
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return success();
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@@ -6284,6 +6284,32 @@ LogicalResult cloneComputeTemplateBody(MaterializerState& state,
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mapper.map(operand, *localized);
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}
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if (auto extract = dyn_cast<tensor::ExtractSliceOp>(&op)) {
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auto remapFoldResult = [&](OpFoldResult value) -> OpFoldResult {
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if (auto mappedValue = dyn_cast_if_present<Value>(value))
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return mapper.lookupOrDefault(mappedValue);
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return value;
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};
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|
||||
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))
|
||||
|
||||
-9510
File diff suppressed because it is too large
Load Diff
-7548
File diff suppressed because it is too large
Load Diff
-128
@@ -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
|
||||
@@ -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;
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user