[MLIR][Vector] Add warp distribution for `scf.if` (#157119)
This PR adds `scf.if` op distribution to the existing `VectorDistribute`
patterns. The logic mostly follows that of `scf.for`: move op outside, wrap each
branch with `gpu.warp_execute_on_lane_0`. A notable difference to `scf.for` is
that each branch has its own set of escaping values, and `scf.if` itself does not
have block arguments.
GitOrigin-RevId: 7f007b572d63fe802a1f5587c74aae437f9f50e6
diff --git a/lib/Dialect/Vector/Transforms/VectorDistribute.cpp b/lib/Dialect/Vector/Transforms/VectorDistribute.cpp
index c84eb2c..995a259 100644
--- a/lib/Dialect/Vector/Transforms/VectorDistribute.cpp
+++ b/lib/Dialect/Vector/Transforms/VectorDistribute.cpp
@@ -371,6 +371,38 @@
return targetType;
}
+/// Given a warpOp that contains ops with regions, the corresponding op's
+/// "inner" region and the distributionMapFn, get all values used by the op's
+/// region that are defined within the warpOp, but outside the inner region.
+/// Return the set of values, their types and their distributed types.
+std::tuple<llvm::SmallSetVector<Value, 32>, SmallVector<Type>,
+ SmallVector<Type>>
+getInnerRegionEscapingValues(WarpExecuteOnLane0Op warpOp, Region &innerRegion,
+ DistributionMapFn distributionMapFn) {
+ llvm::SmallSetVector<Value, 32> escapingValues;
+ SmallVector<Type> escapingValueTypes;
+ SmallVector<Type> escapingValueDistTypes; // to yield from the new warpOp
+ if (innerRegion.empty())
+ return {std::move(escapingValues), std::move(escapingValueTypes),
+ std::move(escapingValueDistTypes)};
+ mlir::visitUsedValuesDefinedAbove(innerRegion, [&](OpOperand *operand) {
+ Operation *parent = operand->get().getParentRegion()->getParentOp();
+ if (warpOp->isAncestor(parent)) {
+ if (!escapingValues.insert(operand->get()))
+ return;
+ Type distType = operand->get().getType();
+ if (auto vecType = dyn_cast<VectorType>(distType)) {
+ AffineMap map = distributionMapFn(operand->get());
+ distType = getDistributedType(vecType, map, warpOp.getWarpSize());
+ }
+ escapingValueTypes.push_back(operand->get().getType());
+ escapingValueDistTypes.push_back(distType);
+ }
+ });
+ return {std::move(escapingValues), std::move(escapingValueTypes),
+ std::move(escapingValueDistTypes)};
+}
+
/// Distribute transfer_write ops based on the affine map returned by
/// `distributionMapFn`. Writes of size more than `maxNumElementToExtract`
/// will not be distributed (it should be less than the warp size).
@@ -1713,6 +1745,215 @@
}
};
+/// Sink scf.if out of WarpExecuteOnLane0Op. This can be done only if
+/// the scf.if is the last operation in the region so that it doesn't
+/// change the order of execution. This creates a new scf.if after the
+/// WarpExecuteOnLane0Op. Each branch of the new scf.if is enclosed in
+/// the "inner" WarpExecuteOnLane0Op. Example:
+/// ```
+/// gpu.warp_execute_on_lane_0(%laneid)[32] {
+/// %payload = ... : vector<32xindex>
+/// scf.if %pred {
+/// vector.store %payload, %buffer[%idx] : memref<128xindex>,
+/// vector<32xindex>
+/// }
+/// gpu.yield
+/// }
+/// ```
+/// %r = gpu.warp_execute_on_lane_0(%laneid)[32] {
+/// %payload = ... : vector<32xindex>
+/// gpu.yield %payload : vector<32xindex>
+/// }
+/// scf.if %pred {
+/// gpu.warp_execute_on_lane_0(%laneid)[32] args(%r : vector<1xindex>) {
+/// ^bb0(%arg1: vector<32xindex>):
+/// vector.store %arg1, %buffer[%idx] : memref<128xindex>, vector<32xindex>
+/// }
+/// }
+/// ```
+struct WarpOpScfIfOp : public WarpDistributionPattern {
+ WarpOpScfIfOp(MLIRContext *ctx, DistributionMapFn fn, PatternBenefit b = 1)
+ : WarpDistributionPattern(ctx, b), distributionMapFn(std::move(fn)) {}
+ LogicalResult matchAndRewrite(WarpExecuteOnLane0Op warpOp,
+ PatternRewriter &rewriter) const override {
+ gpu::YieldOp warpOpYield = warpOp.getTerminator();
+ // Only pick up `IfOp` if it is the last op in the region.
+ Operation *lastNode = warpOpYield->getPrevNode();
+ auto ifOp = dyn_cast_or_null<scf::IfOp>(lastNode);
+ if (!ifOp)
+ return failure();
+
+ // The current `WarpOp` can yield two types of values:
+ // 1. Not results of `IfOp`:
+ // Preserve them in the new `WarpOp`.
+ // Collect their yield index to remap the usages.
+ // 2. Results of `IfOp`:
+ // They are not part of the new `WarpOp` results.
+ // Map current warp's yield operand index to `IfOp` result idx.
+ SmallVector<Value> nonIfYieldValues;
+ SmallVector<unsigned> nonIfYieldIndices;
+ llvm::SmallDenseMap<unsigned, unsigned> ifResultMapping;
+ llvm::SmallDenseMap<unsigned, VectorType> ifResultDistTypes;
+ for (OpOperand &yieldOperand : warpOpYield->getOpOperands()) {
+ const unsigned yieldOperandIdx = yieldOperand.getOperandNumber();
+ if (yieldOperand.get().getDefiningOp() != ifOp.getOperation()) {
+ nonIfYieldValues.push_back(yieldOperand.get());
+ nonIfYieldIndices.push_back(yieldOperandIdx);
+ continue;
+ }
+ OpResult ifResult = cast<OpResult>(yieldOperand.get());
+ const unsigned ifResultIdx = ifResult.getResultNumber();
+ ifResultMapping[yieldOperandIdx] = ifResultIdx;
+ // If this `ifOp` result is vector type and it is yielded by the
+ // `WarpOp`, we keep track the distributed type for this result.
+ if (!isa<VectorType>(ifResult.getType()))
+ continue;
+ VectorType distType =
+ cast<VectorType>(warpOp.getResult(yieldOperandIdx).getType());
+ ifResultDistTypes[ifResultIdx] = distType;
+ }
+
+ // Collect `WarpOp`-defined values used in `ifOp`, the new warp op returns
+ // them
+ auto [escapingValuesThen, escapingValueInputTypesThen,
+ escapingValueDistTypesThen] =
+ getInnerRegionEscapingValues(warpOp, ifOp.getThenRegion(),
+ distributionMapFn);
+ auto [escapingValuesElse, escapingValueInputTypesElse,
+ escapingValueDistTypesElse] =
+ getInnerRegionEscapingValues(warpOp, ifOp.getElseRegion(),
+ distributionMapFn);
+ if (llvm::is_contained(escapingValueDistTypesThen, Type{}) ||
+ llvm::is_contained(escapingValueDistTypesElse, Type{}))
+ return failure();
+
+ // The new `WarpOp` groups yields values in following order:
+ // 1. Branch condition
+ // 2. Escaping values then branch
+ // 3. Escaping values else branch
+ // 4. All non-`ifOp` yielded values.
+ SmallVector<Value> newWarpOpYieldValues{ifOp.getCondition()};
+ newWarpOpYieldValues.append(escapingValuesThen.begin(),
+ escapingValuesThen.end());
+ newWarpOpYieldValues.append(escapingValuesElse.begin(),
+ escapingValuesElse.end());
+ SmallVector<Type> newWarpOpDistTypes{ifOp.getCondition().getType()};
+ newWarpOpDistTypes.append(escapingValueDistTypesThen.begin(),
+ escapingValueDistTypesThen.end());
+ newWarpOpDistTypes.append(escapingValueDistTypesElse.begin(),
+ escapingValueDistTypesElse.end());
+
+ llvm::SmallDenseMap<unsigned, unsigned> origToNewYieldIdx;
+ for (auto [idx, val] :
+ llvm::zip_equal(nonIfYieldIndices, nonIfYieldValues)) {
+ origToNewYieldIdx[idx] = newWarpOpYieldValues.size();
+ newWarpOpYieldValues.push_back(val);
+ newWarpOpDistTypes.push_back(warpOp.getResult(idx).getType());
+ }
+ // Create the new `WarpOp` with the updated yield values and types.
+ WarpExecuteOnLane0Op newWarpOp = moveRegionToNewWarpOpAndReplaceReturns(
+ rewriter, warpOp, newWarpOpYieldValues, newWarpOpDistTypes);
+ // `ifOp` returns the result of the inner warp op.
+ SmallVector<Type> newIfOpDistResTypes;
+ for (auto [i, res] : llvm::enumerate(ifOp.getResults())) {
+ Type distType = cast<Value>(res).getType();
+ if (auto vecType = dyn_cast<VectorType>(distType)) {
+ AffineMap map = distributionMapFn(cast<Value>(res));
+ // Fallback to affine map if the dist result was not previously recorded
+ distType = ifResultDistTypes.count(i)
+ ? ifResultDistTypes[i]
+ : getDistributedType(vecType, map, warpOp.getWarpSize());
+ }
+ newIfOpDistResTypes.push_back(distType);
+ }
+ // Create a new `IfOp` outside the new `WarpOp` region.
+ OpBuilder::InsertionGuard g(rewriter);
+ rewriter.setInsertionPointAfter(newWarpOp);
+ auto newIfOp = scf::IfOp::create(
+ rewriter, ifOp.getLoc(), newIfOpDistResTypes, newWarpOp.getResult(0),
+ static_cast<bool>(ifOp.thenBlock()),
+ static_cast<bool>(ifOp.elseBlock()));
+ auto encloseRegionInWarpOp =
+ [&](Block *oldIfBranch, Block *newIfBranch,
+ llvm::SmallSetVector<Value, 32> &escapingValues,
+ SmallVector<Type> &escapingValueInputTypes,
+ size_t warpResRangeStart) {
+ OpBuilder::InsertionGuard g(rewriter);
+ if (!newIfBranch)
+ return;
+ rewriter.setInsertionPointToStart(newIfBranch);
+ llvm::SmallDenseMap<Value, int64_t> escapeValToBlockArgIndex;
+ SmallVector<Value> innerWarpInputVals;
+ SmallVector<Type> innerWarpInputTypes;
+ for (size_t i = 0; i < escapingValues.size();
+ ++i, ++warpResRangeStart) {
+ innerWarpInputVals.push_back(
+ newWarpOp.getResult(warpResRangeStart));
+ escapeValToBlockArgIndex[escapingValues[i]] =
+ innerWarpInputTypes.size();
+ innerWarpInputTypes.push_back(escapingValueInputTypes[i]);
+ }
+ auto innerWarp = WarpExecuteOnLane0Op::create(
+ rewriter, newWarpOp.getLoc(), newIfOp.getResultTypes(),
+ newWarpOp.getLaneid(), newWarpOp.getWarpSize(),
+ innerWarpInputVals, innerWarpInputTypes);
+
+ innerWarp.getWarpRegion().takeBody(*oldIfBranch->getParent());
+ innerWarp.getWarpRegion().addArguments(
+ innerWarpInputTypes,
+ SmallVector<Location>(innerWarpInputTypes.size(), ifOp.getLoc()));
+
+ SmallVector<Value> yieldOperands;
+ for (Value operand : oldIfBranch->getTerminator()->getOperands())
+ yieldOperands.push_back(operand);
+ rewriter.eraseOp(oldIfBranch->getTerminator());
+
+ rewriter.setInsertionPointToEnd(innerWarp.getBody());
+ gpu::YieldOp::create(rewriter, innerWarp.getLoc(), yieldOperands);
+ rewriter.setInsertionPointAfter(innerWarp);
+ scf::YieldOp::create(rewriter, ifOp.getLoc(), innerWarp.getResults());
+
+ // Update any users of escaping values that were forwarded to the
+ // inner `WarpOp`. These values are arguments of the inner `WarpOp`.
+ innerWarp.walk([&](Operation *op) {
+ for (OpOperand &operand : op->getOpOperands()) {
+ auto it = escapeValToBlockArgIndex.find(operand.get());
+ if (it == escapeValToBlockArgIndex.end())
+ continue;
+ operand.set(innerWarp.getBodyRegion().getArgument(it->second));
+ }
+ });
+ mlir::vector::moveScalarUniformCode(innerWarp);
+ };
+ encloseRegionInWarpOp(&ifOp.getThenRegion().front(),
+ &newIfOp.getThenRegion().front(), escapingValuesThen,
+ escapingValueInputTypesThen, 1);
+ if (!ifOp.getElseRegion().empty())
+ encloseRegionInWarpOp(&ifOp.getElseRegion().front(),
+ &newIfOp.getElseRegion().front(),
+ escapingValuesElse, escapingValueInputTypesElse,
+ 1 + escapingValuesThen.size());
+ // Update the users of `<- WarpOp.yield <- IfOp.yield` to use the new `IfOp`
+ // result.
+ for (auto [origIdx, newIdx] : ifResultMapping)
+ rewriter.replaceAllUsesExcept(warpOp.getResult(origIdx),
+ newIfOp.getResult(newIdx), newIfOp);
+ // Similarly, update any users of the `WarpOp` results that were not
+ // results of the `IfOp`.
+ for (auto [origIdx, newIdx] : origToNewYieldIdx)
+ rewriter.replaceAllUsesWith(warpOp.getResult(origIdx),
+ newWarpOp.getResult(newIdx));
+ // Remove the original `WarpOp` and `IfOp`, they should not have any uses
+ // at this point.
+ rewriter.eraseOp(ifOp);
+ rewriter.eraseOp(warpOp);
+ return success();
+ }
+
+private:
+ DistributionMapFn distributionMapFn;
+};
+
/// Sink scf.for region out of WarpExecuteOnLane0Op. This can be done only if
/// the scf.ForOp is the last operation in the region so that it doesn't
/// change the order of execution. This creates a new scf.for region after the
@@ -1759,25 +2000,9 @@
return failure();
// Collect Values that come from the `WarpOp` but are outside the `ForOp`.
// Those Values need to be returned by the new warp op.
- llvm::SmallSetVector<Value, 32> escapingValues;
- SmallVector<Type> escapingValueInputTypes;
- SmallVector<Type> escapingValueDistTypes;
- mlir::visitUsedValuesDefinedAbove(
- forOp.getBodyRegion(), [&](OpOperand *operand) {
- Operation *parent = operand->get().getParentRegion()->getParentOp();
- if (warpOp->isAncestor(parent)) {
- if (!escapingValues.insert(operand->get()))
- return;
- Type distType = operand->get().getType();
- if (auto vecType = dyn_cast<VectorType>(distType)) {
- AffineMap map = distributionMapFn(operand->get());
- distType = getDistributedType(vecType, map, warpOp.getWarpSize());
- }
- escapingValueInputTypes.push_back(operand->get().getType());
- escapingValueDistTypes.push_back(distType);
- }
- });
-
+ auto [escapingValues, escapingValueInputTypes, escapingValueDistTypes] =
+ getInnerRegionEscapingValues(warpOp, forOp.getBodyRegion(),
+ distributionMapFn);
if (llvm::is_contained(escapingValueDistTypes, Type{}))
return failure();
// `WarpOp` can yield two types of values:
@@ -2068,6 +2293,8 @@
benefit);
patterns.add<WarpOpScfForOp>(patterns.getContext(), distributionMapFn,
benefit);
+ patterns.add<WarpOpScfIfOp>(patterns.getContext(), distributionMapFn,
+ benefit);
}
void mlir::vector::populateDistributeReduction(
diff --git a/test/Dialect/Vector/vector-warp-distribute.mlir b/test/Dialect/Vector/vector-warp-distribute.mlir
index 8750582..bb76392 100644
--- a/test/Dialect/Vector/vector-warp-distribute.mlir
+++ b/test/Dialect/Vector/vector-warp-distribute.mlir
@@ -1856,3 +1856,72 @@
// CHECK-PROP-LABEL: @negative_warp_step_more_than_warp_size
// CHECK-PROP-NOT: vector.broadcast
// CHECK-PROP: vector.step : vector<64xindex>
+
+// -----
+
+func.func @warp_scf_if_no_yield_distribute(%buffer: memref<128xindex>, %pred : i1) {
+ %laneid = gpu.lane_id
+ %c0 = arith.constant 0 : index
+
+ gpu.warp_execute_on_lane_0(%laneid)[32] {
+ %seq = vector.step : vector<32xindex>
+ scf.if %pred {
+ vector.store %seq, %buffer[%c0] : memref<128xindex>, vector<32xindex>
+ }
+ gpu.yield
+ }
+ return
+}
+
+// CHECK-PROP-LABEL: func.func @warp_scf_if_no_yield_distribute(
+// CHECK-PROP-SAME: %[[ARG0:.+]]: memref<128xindex>, %[[ARG1:.+]]: i1
+// CHECK-PROP: scf.if %[[ARG1]] {
+// CHECK-PROP: gpu.warp_execute_on_lane_0(%{{.*}})[32] args(%{{.*}} : vector<1xindex>) {
+// CHECK-PROP: ^bb0(%[[ARG2:.+]]: vector<32xindex>):
+// CHECK-PROP: vector.store %[[ARG2]], %[[ARG0]][%{{.*}}] : memref<128xindex>, vector<32xindex>
+
+// -----
+
+func.func @warp_scf_if_distribute(%pred : i1) {
+ %laneid = gpu.lane_id
+ %c0 = arith.constant 0 : index
+
+ %0 = gpu.warp_execute_on_lane_0(%laneid)[32] -> vector<1xf32> {
+ %seq1 = vector.step : vector<32xindex>
+ %seq2 = arith.constant dense<2> : vector<32xindex>
+ %0 = scf.if %pred -> (vector<32xf32>) {
+ %1 = "some_op"(%seq1) : (vector<32xindex>) -> (vector<32xf32>)
+ scf.yield %1 : vector<32xf32>
+ } else {
+ %2 = "other_op"(%seq2) : (vector<32xindex>) -> (vector<32xf32>)
+ scf.yield %2 : vector<32xf32>
+ }
+ gpu.yield %0 : vector<32xf32>
+ }
+ "some_use"(%0) : (vector<1xf32>) -> ()
+
+ return
+}
+
+// CHECK-PROP-LABEL: func.func @warp_scf_if_distribute(
+// CHECK-PROP-SAME: %[[ARG0:.+]]: i1
+// CHECK-PROP: %[[SEQ2:.+]] = arith.constant dense<2> : vector<32xindex>
+// CHECK-PROP: %[[LANE_ID:.+]] = gpu.lane_id
+// CHECK-PROP: %[[SEQ1:.+]] = vector.broadcast %[[LANE_ID]] : index to vector<1xindex>
+// CHECK-PROP: %[[IF_YIELD_DIST:.+]] = scf.if %[[ARG0]] -> (vector<1xf32>) {
+// CHECK-PROP: %[[THEN_DIST:.+]] = gpu.warp_execute_on_lane_0(%[[LANE_ID]])[32] args(%[[SEQ1]] : vector<1xindex>) -> (vector<1xf32>) {
+// CHECK-PROP: ^bb0(%[[ARG1:.+]]: vector<32xindex>):
+// CHECK-PROP: %{{.*}} = "some_op"(%[[ARG1]]) : (vector<32xindex>) -> vector<32xf32>
+// CHECK-PROP: gpu.yield %{{.*}} : vector<32xf32>
+// CHECK-PROP: }
+// CHECK-PROP: scf.yield %[[THEN_DIST]] : vector<1xf32>
+// CHECK-PROP: } else {
+// CHECK-PROP: %[[ELSE_DIST:.+]] = gpu.warp_execute_on_lane_0(%[[LANE_ID]])[32] -> (vector<1xf32>) {
+// CHECK-PROP: %{{.*}} = "other_op"(%[[SEQ2]]) : (vector<32xindex>) -> vector<32xf32>
+// CHECK-PROP: gpu.yield %{{.*}} : vector<32xf32>
+// CHECK-PROP: }
+// CHECK-PROP: scf.yield %[[ELSE_DIST]] : vector<1xf32>
+// CHECK-PROP: }
+// CHECK-PROP: "some_use"(%[[IF_YIELD_DIST]]) : (vector<1xf32>) -> ()
+// CHECK-PROP: return
+// CHECK-PROP: }
diff --git a/test/Dialect/XeGPU/subgroup-distribute.mlir b/test/Dialect/XeGPU/subgroup-distribute.mlir
index a39aa90..60acea0 100644
--- a/test/Dialect/XeGPU/subgroup-distribute.mlir
+++ b/test/Dialect/XeGPU/subgroup-distribute.mlir
@@ -339,6 +339,63 @@
}
// -----
+// CHECK-LABEL: gpu.func @scatter_ops_scf_yield({{.*}},
+// CHECK-SAME: %[[PREDICATE:.*]]: i1) {
+// CHECK: %[[DEFAULT:.*]] = arith.constant dense<1.200000e+01> : vector<8xf16>
+// CHECK: %[[OFFSET:.*]] = arith.constant dense<12> : vector<1xindex>
+// CHECK: %[[MASK:.*]] = arith.constant dense<true> : vector<1xi1>
+// CHECK: %[[PREDICATED_LOAD:.*]] = scf.if %[[PREDICATE]] -> (vector<8xf16>) {
+// CHECK-NEXT: %[[LOADED:.*]] = xegpu.load %arg0[%[[OFFSET]]], %[[MASK]] <{chunk_size = 8 : i64}> : memref<256xf16>, vector<1xindex>, vector<1xi1> -> vector<8xf16>
+// CHECK-NEXT: scf.yield %[[LOADED]] : vector<8xf16>
+// CHECK-NEXT: } else {
+// CHECK-NEXT: scf.yield %[[DEFAULT]] : vector<8xf16>
+// CHECK-NEXT: }
+// CHECK-NEXT: xegpu.store %[[PREDICATED_LOAD]], %arg0[%[[OFFSET]]], %[[MASK]] <{chunk_size = 8 : i64}> : vector<8xf16>, memref<256xf16>, vector<1xindex>, vector<1xi1>
+gpu.module @test {
+ gpu.func @scatter_ops_scf_yield(%src: memref<256xf16>, %pred : i1) {
+ %1 = arith.constant {layout_result_0 = #xegpu.layout<lane_layout = [16], lane_data = [1]>} dense<1>: vector<16xi1>
+ %offset = arith.constant {layout_result_0 = #xegpu.layout<lane_layout = [16], lane_data = [1]>} dense<12> : vector<16xindex>
+ %loaded = scf.if %pred -> (vector<16x8xf16>) {
+ %3 = xegpu.load %src[%offset], %1 <{chunk_size=8}> {
+ layout_result_0 = #xegpu.layout<lane_layout = [16, 1], lane_data = [1, 2]>
+ } : memref<256xf16>, vector<16xindex>, vector<16xi1> -> vector<16x8xf16>
+ scf.yield %3 : vector<16x8xf16>
+ } else {
+ %3 = arith.constant {
+ layout_result_0 = #xegpu.layout<lane_layout = [16, 1], lane_data = [1, 2]>
+ } dense<12.> : vector<16x8xf16>
+ scf.yield %3 : vector<16x8xf16>
+ } { layout_result_0 = #xegpu.layout<lane_layout = [16, 1], lane_data = [1, 2]> }
+ xegpu.store %loaded, %src[%offset], %1 <{chunk_size=8}> : vector<16x8xf16>, memref<256xf16>, vector<16xindex>, vector<16xi1>
+ gpu.return
+ }
+}
+
+// -----
+// CHECK-LABEL: gpu.func @scatter_ops_scf_non_yield({{.*}}) {
+// CHECK: %[[OFFSET:.*]] = arith.constant dense<12> : vector<1xindex>
+// CHECK: %[[MASK:.*]] = arith.constant dense<true> : vector<1xi1>
+// CHECK: %[[PREDICATE:.*]] = llvm.mlir.poison : i1
+// CHECK: scf.if %[[PREDICATE]] {
+// CHECK-NEXT: %[[LOADED:.*]] = xegpu.load %arg0[%[[OFFSET]]], %[[MASK]] <{chunk_size = 8 : i64}> : memref<256xf16>, vector<1xindex>, vector<1xi1> -> vector<8xf16>
+// CHECK-NEXT: xegpu.store %[[LOADED]], %arg0[%[[OFFSET]]], %[[MASK]] <{chunk_size = 8 : i64}> : vector<8xf16>, memref<256xf16>, vector<1xindex>, vector<1xi1>
+// CHECK-NEXT: }
+gpu.module @test {
+ gpu.func @scatter_ops_scf_non_yield(%src: memref<256xf16>) {
+ %pred = llvm.mlir.poison : i1
+ %1 = arith.constant {layout_result_0 = #xegpu.layout<lane_layout = [16], lane_data = [1]>} dense<1>: vector<16xi1>
+ %offset = arith.constant {layout_result_0 = #xegpu.layout<lane_layout = [16], lane_data = [1]>} dense<12> : vector<16xindex>
+ scf.if %pred {
+ %3 = xegpu.load %src[%offset], %1 <{chunk_size=8}> {
+ layout_result_0 = #xegpu.layout<lane_layout = [16, 1], lane_data = [1, 2]>
+ } : memref<256xf16>, vector<16xindex>, vector<16xi1> -> vector<16x8xf16>
+ xegpu.store %3, %src[%offset], %1 <{chunk_size=8}> : vector<16x8xf16>, memref<256xf16>, vector<16xindex>, vector<16xi1>
+ }
+ gpu.return
+ }
+}
+
+// -----
// CHECK-LABEL: gpu.func @scatter_ops({{.*}}) {
// CHECK: %[[MASK:.*]] = arith.constant dense<true> : vector<1xi1>
// CHECK-NEXT: %[[LANE_OFFSET:.*]] = arith.constant dense<12> : vector<1xindex>
