[Mlir-commits] [mlir] Add Vector bitwidth target to Linearize Vectorizable and Constant Ops (PR #83314)

llvmlistbot at llvm.org llvmlistbot at llvm.org
Wed Feb 28 18:03:37 PST 2024


llvmbot wrote:


<!--LLVM PR SUMMARY COMMENT-->

@llvm/pr-subscribers-mlir-vector

Author: Balaji V. Iyer. (bviyer)

<details>
<summary>Changes</summary>

Added a new flag `targetVectorBitwidth` to capture bit-width input.

---
Full diff: https://github.com/llvm/llvm-project/pull/83314.diff


4 Files Affected:

- (modified) mlir/include/mlir/Dialect/Vector/Transforms/VectorRewritePatterns.h (+1-1) 
- (modified) mlir/lib/Dialect/Vector/Transforms/VectorLinearize.cpp (+48-10) 
- (modified) mlir/test/Dialect/Vector/linearize.mlir (+8) 
- (modified) mlir/test/lib/Dialect/Vector/TestVectorTransforms.cpp (+10-2) 


``````````diff
diff --git a/mlir/include/mlir/Dialect/Vector/Transforms/VectorRewritePatterns.h b/mlir/include/mlir/Dialect/Vector/Transforms/VectorRewritePatterns.h
index 46bb3ddec0baf6..453fa73429dd1a 100644
--- a/mlir/include/mlir/Dialect/Vector/Transforms/VectorRewritePatterns.h
+++ b/mlir/include/mlir/Dialect/Vector/Transforms/VectorRewritePatterns.h
@@ -387,7 +387,7 @@ void populateVectorTransposeNarrowTypeRewritePatterns(
 /// the ops to get converted properly.
 void populateVectorLinearizeTypeConversionsAndLegality(
     TypeConverter &typeConverter, RewritePatternSet &patterns,
-    ConversionTarget &target);
+    ConversionTarget &target, unsigned targetBitWidth);
 
 } // namespace vector
 } // namespace mlir
diff --git a/mlir/lib/Dialect/Vector/Transforms/VectorLinearize.cpp b/mlir/lib/Dialect/Vector/Transforms/VectorLinearize.cpp
index c5352043955579..28a7de22954f99 100644
--- a/mlir/lib/Dialect/Vector/Transforms/VectorLinearize.cpp
+++ b/mlir/lib/Dialect/Vector/Transforms/VectorLinearize.cpp
@@ -19,10 +19,27 @@
 
 using namespace mlir;
 
+static bool isLessThanTargetBitWidth(Operation *op, unsigned targetBitWidth) {
+  auto resultTypes = op->getResultTypes();
+  for (auto resType : resultTypes) {
+    VectorType vecType = cast<VectorType>(resType);
+    unsigned trailingVecDimBitWidth =
+        vecType.getShape().back() * vecType.getElementTypeBitWidth();
+    if (trailingVecDimBitWidth >= targetBitWidth)
+      return false;
+  }
+  return true;
+}
+
 namespace {
 struct LinearizeConstant final : OpConversionPattern<arith::ConstantOp> {
   using OpConversionPattern::OpConversionPattern;
-
+  LinearizeConstant(
+      const TypeConverter &typeConverter, MLIRContext *context,
+      unsigned targetVectBitWidth = std::numeric_limits<unsigned>::max(),
+      PatternBenefit benefit = 1)
+      : OpConversionPattern(typeConverter, context, benefit),
+        targetVectorBitWidth(targetVectBitWidth) {}
   LogicalResult
   matchAndRewrite(arith::ConstantOp constOp, OpAdaptor adaptor,
                   ConversionPatternRewriter &rewriter) const override {
@@ -31,7 +48,9 @@ struct LinearizeConstant final : OpConversionPattern<arith::ConstantOp> {
         getTypeConverter()->convertType<VectorType>(constOp.getType());
     if (!resType)
       return rewriter.notifyMatchFailure(loc, "can't convert return type");
-
+    if (!isLessThanTargetBitWidth(constOp, targetVectorBitWidth))
+      return rewriter.notifyMatchFailure(
+          loc, "Can't flatten since targetBitWidth <= OpSize");
     auto dstElementsAttr = dyn_cast<DenseElementsAttr>(constOp.getValue());
     if (!dstElementsAttr)
       return rewriter.notifyMatchFailure(loc, "unsupported attr type");
@@ -41,15 +60,28 @@ struct LinearizeConstant final : OpConversionPattern<arith::ConstantOp> {
                                                    dstElementsAttr);
     return success();
   }
+
+private:
+  unsigned targetVectorBitWidth;
 };
 
 struct LinearizeVectorizable final
     : OpTraitConversionPattern<OpTrait::Vectorizable> {
   using OpTraitConversionPattern::OpTraitConversionPattern;
 
+public:
+  LinearizeVectorizable(
+      const TypeConverter &typeConverter, MLIRContext *context,
+      unsigned targetVectBitWidth = std::numeric_limits<unsigned>::max(),
+      PatternBenefit benefit = 1)
+      : OpTraitConversionPattern(typeConverter, context, benefit),
+        targetVectorBitWidth(targetVectBitWidth) {}
   LogicalResult
   matchAndRewrite(Operation *op, ArrayRef<Value> operands,
                   ConversionPatternRewriter &rewriter) const override {
+    if (!isLessThanTargetBitWidth(op, targetVectorBitWidth))
+      return rewriter.notifyMatchFailure(
+          op->getLoc(), "Can't flatten since targetBitWidth <= OpSize");
     FailureOr<Operation *> newOp =
         convertOpResultTypes(op, operands, *getTypeConverter(), rewriter);
     if (failed(newOp))
@@ -58,12 +90,16 @@ struct LinearizeVectorizable final
     rewriter.replaceOp(op, (*newOp)->getResults());
     return success();
   }
+
+private:
+  unsigned targetVectorBitWidth;
 };
 } // namespace
 
 void mlir::vector::populateVectorLinearizeTypeConversionsAndLegality(
     TypeConverter &typeConverter, RewritePatternSet &patterns,
-    ConversionTarget &target) {
+    ConversionTarget &target, unsigned targetBitWidth) {
+
   typeConverter.addConversion([](VectorType type) -> std::optional<Type> {
     // Ignore scalable vectors for now.
     if (type.getRank() <= 1 || type.isScalable())
@@ -83,15 +119,17 @@ void mlir::vector::populateVectorLinearizeTypeConversionsAndLegality(
   typeConverter.addArgumentMaterialization(materializeCast);
   typeConverter.addSourceMaterialization(materializeCast);
   typeConverter.addTargetMaterialization(materializeCast);
-
   target.markUnknownOpDynamicallyLegal(
-      [&](Operation *op) -> std::optional<bool> {
-        if (isa<arith::ConstantOp>(op) || op->hasTrait<OpTrait::Vectorizable>())
-          return typeConverter.isLegal(op);
-
+      [=](Operation *op) -> std::optional<bool> {
+        if ((isa<arith::ConstantOp>(op) ||
+             op->hasTrait<OpTrait::Vectorizable>())) {
+          return (isLessThanTargetBitWidth(op, targetBitWidth)
+                      ? typeConverter.isLegal(op)
+                      : true);
+        }
         return std::nullopt;
       });
 
-  patterns.add<LinearizeConstant, LinearizeVectorizable>(typeConverter,
-                                                         patterns.getContext());
+  patterns.add<LinearizeConstant, LinearizeVectorizable>(
+      typeConverter, patterns.getContext(), targetBitWidth);
 }
diff --git a/mlir/test/Dialect/Vector/linearize.mlir b/mlir/test/Dialect/Vector/linearize.mlir
index 85e23103eaedb7..659bb021846d89 100644
--- a/mlir/test/Dialect/Vector/linearize.mlir
+++ b/mlir/test/Dialect/Vector/linearize.mlir
@@ -1,17 +1,25 @@
 // RUN: mlir-opt %s -split-input-file -test-vector-linearize | FileCheck %s
+// RUN: mlir-opt %s -split-input-file -test-vector-linearize=target-vector-bitwidth=128 | FileCheck %s
+// RUN: mlir-opt %s -split-input-file -test-vector-linearize=target-vector-bitwidth=12 | FileCheck %s --check-prefix=CHECK12
 
 // CHECK-LABEL: test_linearize
+// CHECK12-LABEL: test_linearize
 //  CHECK-SAME: (%[[ORIG_ARG:.*]]: vector<2x2xf32>)
 //       CHECK: %[[ARG:.*]] = vector.shape_cast %[[ORIG_ARG]] : vector<2x2xf32> to vector<4xf32>
 func.func @test_linearize(%arg0: vector<2x2xf32>) -> vector<2x2xf32> {
 //       CHECK: %[[C1:.*]] = arith.constant dense<[1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00]> : vector<4xf32>
+//       CHECK12: %[[C1:.*]] = arith.constant dense<{{.*}}> : vector<2x2xf32>
+
   %0 = arith.constant dense<[[1.0, 2.0], [3.0, 4.0]]> : vector<2x2xf32>
 //       CHECK: %[[RES:.*]] = vector.shape_cast %[[C1]] : vector<4xf32> to vector<2x2xf32>
 
 // Arith and math ops are handled in generic way, check some of them
 //       CHECK: %{{.*}} =  math.sin %[[ARG]] : vector<4xf32>
+//       CHECK12: %{{.*}} =  math.sin %{{.*}} : vector<2x2xf32>
   %1 = math.sin %arg0 : vector<2x2xf32>
 //       CHECK: %{{.*}} = arith.addf %[[ARG]], %[[C1]] : vector<4xf32>
+//       CHECK12: %{{.*}} = arith.addf %{{.*}} : vector<2x2xf32>
+
   %2 = arith.addf %arg0, %0 :  vector<2x2xf32>
 
 //       CHECK: return %[[RES]] : vector<2x2xf32>
diff --git a/mlir/test/lib/Dialect/Vector/TestVectorTransforms.cpp b/mlir/test/lib/Dialect/Vector/TestVectorTransforms.cpp
index 178a58e796b246..74d2dfa44f4fe9 100644
--- a/mlir/test/lib/Dialect/Vector/TestVectorTransforms.cpp
+++ b/mlir/test/lib/Dialect/Vector/TestVectorTransforms.cpp
@@ -842,6 +842,9 @@ struct TestVectorLinearize final
     : public PassWrapper<TestVectorLinearize, OperationPass<>> {
   MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(TestVectorLinearize)
 
+  TestVectorLinearize() = default;
+  TestVectorLinearize(const TestVectorLinearize &pass) : PassWrapper(pass) {}
+
   StringRef getArgument() const override { return "test-vector-linearize"; }
   StringRef getDescription() const override {
     return "Linearizes ND vectors for N >= 2 into 1D vectors";
@@ -850,6 +853,11 @@ struct TestVectorLinearize final
     registry.insert<vector::VectorDialect>();
   }
 
+  Option<unsigned> targetVectorBitwidth{
+      *this, "target-vector-bitwidth",
+      llvm::cl::desc(
+          "Minimum vector bitwidth to enable the flattening transformation"),
+      llvm::cl::init(std::numeric_limits<unsigned>::max())};
   void runOnOperation() override {
     auto *context = &getContext();
 
@@ -857,8 +865,8 @@ struct TestVectorLinearize final
     RewritePatternSet patterns(context);
     ConversionTarget target(*context);
 
-    vector::populateVectorLinearizeTypeConversionsAndLegality(typeConverter,
-                                                              patterns, target);
+    vector::populateVectorLinearizeTypeConversionsAndLegality(
+        typeConverter, patterns, target, targetVectorBitwidth);
     if (failed(applyPartialConversion(getOperation(), target,
                                       std::move(patterns))))
       return signalPassFailure();

``````````

</details>


https://github.com/llvm/llvm-project/pull/83314


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