[mlir] update include create APIs (3/n)

See #147168 for more info.

Author: makslevental

mlir/include/mlir/Dialect/Bufferization/IR/BufferizableOpInterface.h

@@ -651,7 +651,7 @@ void replaceOpWithBufferizedValues(RewriterBase &rewriter, Operation *op,
 template <typename OpTy, typename... Args>
 OpTy replaceOpWithNewBufferizedOp(RewriterBase &rewriter, Operation *op,
                                   Args &&...args) {
-  auto newOp = rewriter.create<OpTy>(op->getLoc(), std::forward<Args>(args)...);
+  auto newOp = OpTy::create(rewriter, op->getLoc(), std::forward<Args>(args)...);
   replaceOpWithBufferizedValues(rewriter, op, newOp->getResults());
   return newOp;
 }

mlir/include/mlir/Dialect/Bufferization/Transforms/Passes.h

@@ -148,14 +148,14 @@ struct BufferResultsToOutParamsOpts {
   /// Default memref.alloc is used
   AllocationFn allocationFn = [](OpBuilder &builder, Location loc,
                                  MemRefType type) {
-    return builder.create<memref::AllocOp>(loc, type).getResult();
+    return memref::AllocOp::create(builder, loc, type).getResult();
   };
 
   /// Memcpy function; used to create a copy between two memrefs.
   /// Default memref.copy is used.
   MemCpyFn memCpyFn = [](OpBuilder &builder, Location loc, Value from,
                          Value to) {
-    builder.create<memref::CopyOp>(loc, from, to);
+    memref::CopyOp::create(builder, loc, from, to);
     return success();
   };
 

mlir/include/mlir/Dialect/LLVMIR/BasicPtxBuilderInterface.td

@@ -114,7 +114,7 @@ def BasicPtxBuilderOpInterface : OpInterface<"BasicPtxBuilderInterface"> {
         /*methodBody=*/"",
         /*defaultImpl=*/ [{
             mlir::Operation* op = $_op;
-            return rewriter.create<LLVM::ConstantOp>(
+            return LLVM::ConstantOp::create(rewriter,
               op->getLoc(), rewriter.getIntegerType(32), val);
         }]
      >,

mlir/include/mlir/Dialect/Linalg/IR/LinalgStructuredOps.td

@@ -454,7 +454,7 @@ def TransposeOp : LinalgStructuredBase_Op<"transpose", [
     static void regionBuilder(mlir::ImplicitLocOpBuilder &b, mlir::Block &block,
         mlir::ArrayRef<mlir::NamedAttribute>, function_ref<InFlightDiagnostic()> emitError) {
       OpBuilder::InsertionGuard guard(b);
-      b.create<linalg::YieldOp>(b.getLoc(), block.getArgument(0));
+      linalg::YieldOp::create(b, b.getLoc(), block.getArgument(0));
     }
 
     static std::function<void(mlir::ImplicitLocOpBuilder &, mlir::Block &,
@@ -528,7 +528,7 @@ def BroadcastOp : LinalgStructuredBase_Op<"broadcast", [
                               mlir::ArrayRef<mlir::NamedAttribute>, 
                               function_ref<InFlightDiagnostic()> emitError) {
       OpBuilder::InsertionGuard guard(b);
-      b.create<linalg::YieldOp>(b.getLoc(), block.getArgument(0));
+      linalg::YieldOp::create(b, b.getLoc(), block.getArgument(0));
     }
 
     static std::function<void(mlir::ImplicitLocOpBuilder &, mlir::Block &,

mlir/include/mlir/Dialect/SparseTensor/IR/SparseTensorType.h

@@ -131,7 +131,7 @@ class SparseTensorType {
   /// ambiguity whenever passing a `SparseTensorType` directly to a
   /// function which is overloaded to accept either `Type` or `TypeRange`.
   /// In particular, this includes `RewriterBase::replaceOpWithNewOp<OpTy>`
-  /// and `OpBuilder::create<OpTy>` whenever the `OpTy::build` is overloaded
+  /// and `OpTy::create` whenever the `OpTy::build` is overloaded
   /// thus.  This happens because the `TypeRange<T>(T&&)` ctor is implicit
   /// as well, and there's no SFINAE we can add to this method that would
   /// block subsequent application of that ctor.  The only way to fix the

mlir/include/mlir/Dialect/Tosa/Utils/ConversionUtils.h

@@ -70,7 +70,7 @@ checkHasDynamicBatchDims(PatternRewriter &rewriter, Op op,
   }
 
   dynamicDims.push_back(
-      rewriter.create<tensor::DimOp>(op->getLoc(), params[0], 0));
+      tensor::DimOp::create(rewriter, op->getLoc(), params[0], 0));
   return dynamicDims;
 }
 
@@ -91,7 +91,7 @@ namespace {
 template <typename TosaOp, typename... Args>
 TosaOp createOpAndInferShape(ImplicitLocOpBuilder &builder, Type resultTy,
                              Args &&...args) {
-  auto op = builder.create<TosaOp>(resultTy, args...);
+  auto op = TosaOp::create(builder, resultTy, args...);
 
   InferShapedTypeOpInterface shapeInterface =
       dyn_cast<InferShapedTypeOpInterface>(op.getOperation());

mlir/include/mlir/Dialect/Tosa/Utils/QuantUtils.h

@@ -47,7 +47,7 @@ Value getConstTensorInt(OpBuilder &builder, Location loc,
   mlir::RankedTensorType const_type =
       RankedTensorType::get({count}, element_type);
   mlir::DenseElementsAttr const_attr = DenseElementsAttr::get(const_type, vec);
-  auto const_op = builder.create<tosa::ConstOp>(loc, const_type, const_attr);
+  auto const_op = tosa::ConstOp::create(builder, loc, const_type, const_attr);
   return const_op.getResult();
 }
 

mlir/include/mlir/Dialect/Utils/ReshapeOpsUtils.h

@@ -332,11 +332,11 @@ struct ComposeCollapseOfExpandOp : public OpRewritePattern<CollapseOpTy> {
         // the first dynamic size.
         Value result = dynamicSizes[0];
         for (Value v : llvm::drop_begin(dynamicSizes))
-          result = rewriter.create<arith::MulIOp>(loc, result, v);
+          result = arith::MulIOp::create(rewriter, loc, result, v);
         if (numStaticElems != 1) {
-          result = rewriter.create<arith::MulIOp>(
-              loc, result,
-              rewriter.create<arith::ConstantIndexOp>(loc, numStaticElems));
+          result = arith::MulIOp::create(
+              rewriter, loc, result,
+              arith::ConstantIndexOp::create(rewriter, loc, numStaticElems));
         }
         newOutputShape.push_back(result);
       }

mlir/include/mlir/Dialect/Vector/Utils/VectorUtils.h

@@ -118,9 +118,10 @@ inline auto makeVscaleConstantBuilder(PatternRewriter &rewriter, Location loc) {
   Value vscale = nullptr;
   return [loc, vscale, &rewriter](int64_t multiplier) mutable {
     if (!vscale)
-      vscale = rewriter.create<vector::VectorScaleOp>(loc);
-    return rewriter.create<arith::MulIOp>(
-        loc, vscale, rewriter.create<arith::ConstantIndexOp>(loc, multiplier));
+      vscale = vector::VectorScaleOp::create(rewriter, loc);
+    return arith::MulIOp::create(
+        rewriter, loc, vscale,
+        arith::ConstantIndexOp::create(rewriter, loc, multiplier));
   };
 }
 

mlir/include/mlir/Interfaces/ViewLikeInterface.h

@@ -109,8 +109,8 @@ class OpWithOffsetSizesAndStridesConstantArgumentFolder final
 
     // Create the new op in canonical form.
     auto newOp =
-        rewriter.create<OpType>(op.getLoc(), resultType, op.getSource(),
-                                mixedOffsets, mixedSizes, mixedStrides);
+        OpType::create(rewriter, op.getLoc(), resultType, op.getSource(),
+                       mixedOffsets, mixedSizes, mixedStrides);
     CastOpFunc()(rewriter, op, newOp);
 
     return success();