automatic code-reformat

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

@@ -92,10 +92,8 @@ static FailureOr<Value> materializeBroadcastedConstantTensor(Value value,
   return arith::ConstantOp::create(rewriter, loc, resultType, broadcastedAttr).getResult();
 }
 
-static FailureOr<Value> prepareElementwiseOperand(Value value,
-                                                  RankedTensorType resultType,
-                                                  ConversionPatternRewriter& rewriter,
-                                                  Location loc) {
+static FailureOr<Value>
+prepareElementwiseOperand(Value value, RankedTensorType resultType, ConversionPatternRewriter& rewriter, Location loc) {
   auto valueType = dyn_cast<RankedTensorType>(value.getType());
   if (!valueType || !valueType.hasStaticShape())
     return failure();

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

@@ -280,8 +280,8 @@ LogicalResult GemvToSpatialCompute::matchAndRewrite(ONNXGemmOp gemmOp,
       for (size_t aSliceId = 0; aSliceId < aHSlices[coreId].size(); aSliceId++)
         weights.push_back(bTiles[outSliceId][coreId][aSliceId]);
 
-      auto computeOp =
-        createSpatCompute(rewriter, gemmLoc, currOutHSliceType, weights, aHSlices[coreId], [&](ValueRange aHSlicesArgs) {
+      auto computeOp = createSpatCompute(
+        rewriter, gemmLoc, currOutHSliceType, weights, aHSlices[coreId], [&](ValueRange aHSlicesArgs) {
           SmallVector<Value> vmmOutputs;
           vmmOutputs.reserve(aHSlicesArgs.size());
           for (auto [aHSliceId, computeArg] : llvm::enumerate(aHSlicesArgs))

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

@@ -71,10 +71,8 @@ static SmallVector<ReassociationIndices> buildCollapseReassociation(ArrayRef<boo
   return reassociation;
 }
 
-static Value createAverageCompute(Value input,
-                                  RankedTensorType resultType,
-                                  ConversionPatternRewriter& rewriter,
-                                  Location loc) {
+static Value
+createAverageCompute(Value input, RankedTensorType resultType, ConversionPatternRewriter& rewriter, Location loc) {
   constexpr size_t numInputs = 1;
   auto computeOp = createSpatCompute<numInputs>(rewriter, loc, resultType, {}, ValueRange {input}, [&](Value x) {
     auto avgOp = spatial::SpatVAvgOp::create(rewriter, loc, resultType, x);
@@ -141,7 +139,8 @@ struct ReduceMeanToSpatialCompute : OpConversionPattern<ONNXReduceMeanV13Op> {
 
     Location loc = reduceMeanOp.getLoc();
     RankedTensorType leafType = getAllOnesType(inputType, resultType.getElementType());
-    Value reducedKeepdims = buildReduceMeanKeepdims(adaptor.getData(), reducedAxes, /*axis=*/0, leafType, rewriter, loc);
+    Value reducedKeepdims =
+      buildReduceMeanKeepdims(adaptor.getData(), reducedAxes, /*axis=*/0, leafType, rewriter, loc);
 
     if (reduceMeanOp.getKeepdims() != 0) {
       rewriter.replaceOp(reduceMeanOp, reducedKeepdims);