[Mlir-commits] [mlir] [mlir][vector] Add apply_patterns.vector.multi_reduction_unrolling. (PR #182113)
llvmlistbot at llvm.org
llvmlistbot at llvm.org
Wed Feb 18 12:13:07 PST 2026
llvmbot wrote:
<!--LLVM PR SUMMARY COMMENT-->
@llvm/pr-subscribers-mlir
Author: Erick Ochoa Lopez (amd-eochoalo)
<details>
<summary>Changes</summary>
* Adds vector transform op `apply_patterns.vector.multi_reduction_unrolling`
* Adds test for `populateVectorMultiReductionUnrollingPatterns`
* Deletes old test files `vector-multi-reduction-lowering.mlir` and `vector-multi-reduction-lowering-outer.mlir`. Tests that exercise these patterns exist in `vector-multi-reduction-flattening.mlir`, `vector-multi-reduction-reorder-and-expand.mlir` and `vector-multi-reduction-unrolling.mlir`
Assisted-by: claude
---
Patch is 46.83 KiB, truncated to 20.00 KiB below, full version: https://github.com/llvm/llvm-project/pull/182113.diff
6 Files Affected:
- (modified) mlir/include/mlir/Dialect/Vector/TransformOps/VectorTransformOps.td (+23)
- (modified) mlir/lib/Dialect/Vector/TransformOps/VectorTransformOps.cpp (+8)
- (removed) mlir/test/Dialect/Vector/vector-multi-reduction-lowering.mlir (-255)
- (removed) mlir/test/Dialect/Vector/vector-multi-reduction-outer-lowering.mlir (-192)
- (added) mlir/test/Dialect/Vector/vector-multi-reduction-unrolling.mlir (+156)
- (modified) mlir/test/python/dialects/transform_vector_ext.py (+8)
``````````diff
diff --git a/mlir/include/mlir/Dialect/Vector/TransformOps/VectorTransformOps.td b/mlir/include/mlir/Dialect/Vector/TransformOps/VectorTransformOps.td
index 6eb96e2a8fdab..685c88c17e556 100644
--- a/mlir/include/mlir/Dialect/Vector/TransformOps/VectorTransformOps.td
+++ b/mlir/include/mlir/Dialect/Vector/TransformOps/VectorTransformOps.td
@@ -283,6 +283,29 @@ def ApplyMultiReductionFlatteningPatternsOp: Op<Transform_Dialect,
}];
}
+def ApplyMultiReductionUnrollingPatternsOp: Op<Transform_Dialect,
+ "apply_patterns.vector.multi_reduction_unrolling",
+ [DeclareOpInterfaceMethods<PatternDescriptorOpInterface>]> {
+ let description = [{
+ Indicates that 2-D vector multi_reduction operations should be unrolled
+ into either a sequence of vector.reduction ops (innerreduction) or
+ element-wise arith ops (innerparallel).
+
+ This populates the patterns from
+ `populateVectorMultiReductionUnrollingPatterns`, i.e.:
+ * `TwoDimMultiReductionToReduction` (innerreduction)
+ * `TwoDimMultiReductionToElementWise` (innerparallel)
+ }];
+
+ let arguments = (ins DefaultValuedAttr<VectorMultiReductionLoweringAttr,
+ "vector::VectorMultiReductionLowering::InnerParallel">:$lowering_strategy
+ );
+
+ let assemblyFormat = [{
+ (`lowering_strategy` `=` $lowering_strategy^)? attr-dict
+ }];
+}
+
def ApplyLowerOuterProductPatternsOp : Op<Transform_Dialect,
"apply_patterns.vector.lower_outerproduct",
[DeclareOpInterfaceMethods<PatternDescriptorOpInterface>]> {
diff --git a/mlir/lib/Dialect/Vector/TransformOps/VectorTransformOps.cpp b/mlir/lib/Dialect/Vector/TransformOps/VectorTransformOps.cpp
index f3529ac26523f..6c97c6501a23e 100644
--- a/mlir/lib/Dialect/Vector/TransformOps/VectorTransformOps.cpp
+++ b/mlir/lib/Dialect/Vector/TransformOps/VectorTransformOps.cpp
@@ -154,6 +154,14 @@ void transform::ApplyMultiReductionFlatteningPatternsOp::populatePatterns(
patterns, vectorTransformOptions.vectorMultiReductionLowering);
}
+void transform::ApplyMultiReductionUnrollingPatternsOp::populatePatterns(
+ RewritePatternSet &patterns) {
+ vector::VectorTransformsOptions vectorTransformOptions;
+ vectorTransformOptions.setVectorMultiReductionLowering(getLoweringStrategy());
+ vector::populateVectorMultiReductionUnrollingPatterns(
+ patterns, vectorTransformOptions.vectorMultiReductionLowering);
+}
+
void transform::ApplyLowerOuterProductPatternsOp::populatePatterns(
RewritePatternSet &patterns) {
populateVectorOuterProductLoweringPatterns(patterns);
diff --git a/mlir/test/Dialect/Vector/vector-multi-reduction-lowering.mlir b/mlir/test/Dialect/Vector/vector-multi-reduction-lowering.mlir
deleted file mode 100644
index 6b79a78e6a42a..0000000000000
--- a/mlir/test/Dialect/Vector/vector-multi-reduction-lowering.mlir
+++ /dev/null
@@ -1,255 +0,0 @@
-// RUN: mlir-opt %s --transform-interpreter | FileCheck %s
-
-// Patterns applied:
-// * TwoDimMultiReductionToReduction from populateVectorMultiReductionUnrollingPatterns
-func.func @vector_multi_reduction(%arg0: vector<2x4xf32>, %acc: vector<2xf32>) -> vector<2xf32> {
- %0 = vector.multi_reduction <mul>, %arg0, %acc [1] : vector<2x4xf32> to vector<2xf32>
- return %0 : vector<2xf32>
-}
-// CHECK-LABEL: func @vector_multi_reduction
-// CHECK-SAME: %[[INPUT:.+]]: vector<2x4xf32>, %[[ACC:.*]]: vector<2xf32>)
-// CHECK-DAG: %[[RESULT_VEC_0:.+]] = arith.constant dense<{{.*}}> : vector<2xf32>
-// CHECK: %[[V0:.+]] = vector.extract %[[INPUT]][0]
-// CHECK: %[[ACC0:.+]] = vector.extract %[[ACC]][0]
-// CHECK: %[[RV0:.+]] = vector.reduction <mul>, %[[V0]], %[[ACC0]] : vector<4xf32> into f32
-// CHECK: %[[RESULT_VEC_1:.+]] = vector.insert %[[RV0:.+]], %[[RESULT_VEC_0]] [0] : f32 into vector<2xf32>
-// CHECK: %[[V1:.+]] = vector.extract %[[INPUT]][1]
-// CHECK: %[[ACC1:.+]] = vector.extract %[[ACC]][1]
-// CHECK: %[[RV1:.+]] = vector.reduction <mul>, %[[V1]], %[[ACC1]] : vector<4xf32> into f32
-// CHECK: %[[RESULT_VEC:.+]] = vector.insert %[[RV1:.+]], %[[RESULT_VEC_1]] [1] : f32 into vector<2xf32>
-// CHECK: return %[[RESULT_VEC]]
-
-// Patterns applied:
-// * ReduceMultiDimReductionRank from populateVectorMultiReductionFlatteningPatterns
-// * TwoDimMultiReductionToReduction from populateVectorMultiReductionUnrollingPatterns
-func.func @vector_reduction_inner(%arg0: vector<2x3x4x5xi32>, %acc: vector<2x3xi32>) -> vector<2x3xi32> {
- %0 = vector.multi_reduction <add>, %arg0, %acc [2, 3] : vector<2x3x4x5xi32> to vector<2x3xi32>
- return %0 : vector<2x3xi32>
-}
-// CHECK-LABEL: func @vector_reduction_inner
-// CHECK-SAME: %[[INPUT:.+]]: vector<2x3x4x5xi32>, %[[ACC:.*]]: vector<2x3xi32>
-// CHECK-DAG: %[[FLAT_RESULT_VEC_0:.+]] = arith.constant dense<0> : vector<6xi32>
-// CHECK: %[[RESHAPED_INPUT:.+]] = vector.shape_cast %[[INPUT]] : vector<2x3x4x5xi32> to vector<6x20xi32>
-// CHECK: %[[V0:.+]] = vector.extract %[[RESHAPED_INPUT]][0] : vector<20xi32> from vector<6x20xi32>
-// CHECK: %[[ACC0:.+]] = vector.extract %[[ACC]][0, 0] : i32 from vector<2x3xi32>
-// CHECK: %[[V0R:.+]] = vector.reduction <add>, %[[V0]], %[[ACC0]] : vector<20xi32> into i32
-// CHECK: %[[FLAT_RESULT_VEC_1:.+]] = vector.insert %[[V0R]], %[[FLAT_RESULT_VEC_0]] [0] : i32 into vector<6xi32>
-// CHECK: %[[V1:.+]] = vector.extract %[[RESHAPED_INPUT]][1] : vector<20xi32> from vector<6x20xi32>
-// CHECK: %[[ACC1:.+]] = vector.extract %[[ACC]][0, 1] : i32 from vector<2x3xi32>
-// CHECK: %[[V1R:.+]] = vector.reduction <add>, %[[V1]], %[[ACC1]] : vector<20xi32> into i32
-// CHECK: %[[FLAT_RESULT_VEC_2:.+]] = vector.insert %[[V1R]], %[[FLAT_RESULT_VEC_1]] [1] : i32 into vector<6xi32>
-// CHECK: %[[V2:.+]] = vector.extract %[[RESHAPED_INPUT]][2] : vector<20xi32> from vector<6x20xi32>
-// CHECK: %[[ACC2:.+]] = vector.extract %[[ACC]][0, 2] : i32 from vector<2x3xi32>
-// CHECK: %[[V2R:.+]] = vector.reduction <add>, %[[V2]], %[[ACC2]] : vector<20xi32> into i32
-// CHECK: %[[FLAT_RESULT_VEC_3:.+]] = vector.insert %[[V2R]], %[[FLAT_RESULT_VEC_2]] [2] : i32 into vector<6xi32>
-// CHECK: %[[V3:.+]] = vector.extract %[[RESHAPED_INPUT]][3] : vector<20xi32> from vector<6x20xi32>
-// CHECK: %[[ACC3:.+]] = vector.extract %[[ACC]][1, 0] : i32 from vector<2x3xi32>
-// CHECK: %[[V3R:.+]] = vector.reduction <add>, %[[V3]], %[[ACC3]] : vector<20xi32> into i32
-// CHECK: %[[FLAT_RESULT_VEC_4:.+]] = vector.insert %[[V3R]], %[[FLAT_RESULT_VEC_3]] [3] : i32 into vector<6xi32>
-// CHECK: %[[V4:.+]] = vector.extract %[[RESHAPED_INPUT]][4] : vector<20xi32> from vector<6x20xi32>
-// CHECK: %[[ACC4:.+]] = vector.extract %[[ACC]][1, 1] : i32 from vector<2x3xi32>
-// CHECK: %[[V4R:.+]] = vector.reduction <add>, %[[V4]], %[[ACC4]] : vector<20xi32> into i32
-// CHECK: %[[FLAT_RESULT_VEC_5:.+]] = vector.insert %[[V4R]], %[[FLAT_RESULT_VEC_4]] [4] : i32 into vector<6xi32>
-// CHECK: %[[V5:.+]] = vector.extract %[[RESHAPED_INPUT]][5] : vector<20xi32> from vector<6x20xi32>
-// CHECK: %[[ACC5:.+]] = vector.extract %[[ACC]][1, 2] : i32 from vector<2x3xi32>
-// CHECK: %[[V5R:.+]] = vector.reduction <add>, %[[V5]], %[[ACC5]] : vector<20xi32> into i32
-// CHECK: %[[FLAT_RESULT_VEC:.+]] = vector.insert %[[V5R]], %[[FLAT_RESULT_VEC_5]] [5] : i32 into vector<6xi32>
-// CHECK: %[[RESULT:.+]] = vector.shape_cast %[[FLAT_RESULT_VEC]] : vector<6xi32> to vector<2x3xi32>
-// CHECK: return %[[RESULT]]
-
-// Patterns applied:
-// * TwoDimMultiReductionToReduction from populateVectorMultiReductionUnrollingPatterns
-func.func @vectorize_dynamic_reduction(%arg0: tensor<?x?xf32>, %arg1: tensor<?xf32>) -> tensor<?xf32> {
- %c0 = arith.constant 0 : index
- %dim = tensor.dim %arg0, %c0 : tensor<?x?xf32>
- %c1 = arith.constant 1 : index
- %dim_0 = tensor.dim %arg0, %c1 : tensor<?x?xf32>
- %c0_1 = arith.constant 0 : index
- %cst = arith.constant 0.000000e+00 : f32
- %0 = vector.create_mask %dim, %dim_0 : vector<4x8xi1>
- %1 = vector.mask %0 { vector.transfer_read %arg0[%c0_1, %c0_1], %cst {in_bounds = [true, true]} : tensor<?x?xf32>, vector<4x8xf32> } : vector<4x8xi1> -> vector<4x8xf32>
- %cst_2 = arith.constant 0.000000e+00 : f32
- %2 = vector.create_mask %dim : vector<4xi1>
- %3 = vector.mask %2 { vector.transfer_read %arg1[%c0_1], %cst_2 {in_bounds = [true]} : tensor<?xf32>, vector<4xf32> } : vector<4xi1> -> vector<4xf32>
- %4 = vector.mask %0 { vector.multi_reduction <add>, %1, %3 [1] : vector<4x8xf32> to vector<4xf32> } : vector<4x8xi1> -> vector<4xf32>
- %c0_3 = arith.constant 0 : index
- %5 = vector.mask %2 { vector.transfer_write %4, %arg1[%c0_3] {in_bounds = [true]} : vector<4xf32>, tensor<?xf32> } : vector<4xi1> -> tensor<?xf32>
- return %5 : tensor<?xf32>
-}
-
-// Verify that the original 2-D mask is sliced and propagated properly to the
-// vector.reduction instances.
-
-// CHECK-LABEL: func.func @vectorize_dynamic_reduction
-// CHECK: %[[VAL_8:.*]] = tensor.dim
-// CHECK: %[[VAL_9:.*]] = tensor.dim
-// CHECK: %[[VAL_10:.*]] = vector.create_mask %[[VAL_8]], %[[VAL_9]] : vector<4x8xi1>
-
-// CHECK: %[[VAL_16:.*]] = vector.extract %[[VAL_10]][0] : vector<8xi1> from vector<4x8xi1>
-// CHECK: %[[VAL_17:.*]] = vector.mask %[[VAL_16]] { vector.reduction <add>, %{{.*}} : vector<8xf32> into f32 } : vector<8xi1> -> f32
-// CHECK: %[[VAL_18:.*]] = vector.insert
-
-// CHECK: %[[VAL_21:.*]] = vector.extract %[[VAL_10]][1] : vector<8xi1> from vector<4x8xi1>
-// CHECK: %[[VAL_22:.*]] = vector.mask %[[VAL_21]] { vector.reduction <add>, %{{.*}} : vector<8xf32> into f32 } : vector<8xi1> -> f32
-// CHECK: %[[VAL_23:.*]] = vector.insert
-
-// CHECK: %[[VAL_26:.*]] = vector.extract %[[VAL_10]][2] : vector<8xi1> from vector<4x8xi1>
-// CHECK: %[[VAL_27:.*]] = vector.mask %[[VAL_26]] { vector.reduction <add>, %{{.*}} : vector<8xf32> into f32 } : vector<8xi1> -> f32
-// CHECK: %[[VAL_28:.*]] = vector.insert
-
-// CHECK: %[[VAL_31:.*]] = vector.extract %[[VAL_10]][3] : vector<8xi1> from vector<4x8xi1>
-// CHECK: %[[VAL_32:.*]] = vector.mask %[[VAL_31]] { vector.reduction <add>, %{{.*}} : vector<8xf32> into f32 } : vector<8xi1> -> f32
-// CHECK: %[[VAL_33:.*]] = vector.insert
-
-// Patterns applied:
-// * OneDimMultiReductionToTwoDim from populateVectorMultiReductionTransformationPatterns
-// * TwoDimMultiReductionToReduction from populateVectorMultiReductionUnrollingPatterns
-func.func @vectorize_1d_dynamic_reduction(%arg0: tensor<?xf32>) -> f32 {
- %c0 = arith.constant 0 : index
- %dim = tensor.dim %arg0, %c0 : tensor<?xf32>
- %c0_1 = arith.constant 0 : index
- %cst = arith.constant 0.000000e+00 : f32
- %0 = vector.create_mask %dim : vector<8xi1>
- %1 = vector.mask %0 { vector.transfer_read %arg0[%c0_1], %cst {in_bounds = [true]} : tensor<?xf32>, vector<8xf32> } : vector<8xi1> -> vector<8xf32>
- %4 = vector.mask %0 { vector.multi_reduction <add>, %1, %cst [0] : vector<8xf32> to f32 } : vector<8xi1> -> f32
- return %4 : f32
-}
-
-// Verify that a 1-D vector.multi_reduction is transformed into a vector.reduction.
-// This transform expands 1-D vectors into 2-D.
-
-// CHECK-LABEL: func.func @vectorize_1d_dynamic_reduction(
-// CHECK: %[[VAL_5:.*]] = vector.create_mask {{.*}} : vector<8xi1>
-// CHECK: %[[VAL_7:.*]] = vector.mask %[[VAL_5]] { vector.reduction <add>, %{{.*}} : vector<8xf32> into f32 } : vector<8xi1> -> f32
-
-
-// Patterns applied:
-// * InnerOuterDimReductionConversion from populateVectorMultiReductionTransformationPatterns
-// * ReduceMultiDimReductionRank from populateVectorMultiReductionFlatteningPatterns
-// * TwoDimMultiReductionToReduction from populateVectorMultiReductionUnrollingPatterns
-func.func @vectorize_dynamic_transpose_reduction(%arg0: tensor<?x?x?xf32>, %arg1: tensor<?x?xf32>) -> tensor<?x?xf32> {
- %c0 = arith.constant 0 : index
- %dim = tensor.dim %arg0, %c0 : tensor<?x?x?xf32>
- %c1 = arith.constant 1 : index
- %dim_0 = tensor.dim %arg0, %c1 : tensor<?x?x?xf32>
- %c2 = arith.constant 2 : index
- %dim_1 = tensor.dim %arg0, %c2 : tensor<?x?x?xf32>
- %c0_2 = arith.constant 0 : index
- %cst = arith.constant 0.000000e+00 : f32
- %0 = vector.create_mask %dim, %dim_0, %dim_1 : vector<4x8x16xi1>
- %1 = vector.mask %0 { vector.transfer_read %arg0[%c0_2, %c0_2, %c0_2], %cst {in_bounds = [true, true, true]} : tensor<?x?x?xf32>, vector<4x8x16xf32> } : vector<4x8x16xi1> -> vector<4x8x16xf32>
- %cst_3 = arith.constant 0.000000e+00 : f32
- %2 = vector.create_mask %dim_1, %dim_0 : vector<16x8xi1>
- %3 = vector.mask %2 { vector.transfer_read %arg1[%c0_2, %c0_2], %cst_3 {in_bounds = [true, true], permutation_map = affine_map<(d0, d1) -> (d1, d0)>} : tensor<?x?xf32>, vector<8x16xf32> } : vector<16x8xi1> -> vector<8x16xf32>
- %4 = vector.mask %0 { vector.multi_reduction <add>, %1, %3 [0] : vector<4x8x16xf32> to vector<8x16xf32> } : vector<4x8x16xi1> -> vector<8x16xf32>
- %c0_4 = arith.constant 0 : index
- %5 = vector.mask %2 { vector.transfer_write %4, %arg1[%c0_4, %c0_4] {in_bounds = [true, true], permutation_map = affine_map<(d0, d1) -> (d1, d0)>} : vector<8x16xf32>, tensor<?x?xf32> } : vector<16x8xi1> -> tensor<?x?xf32>
- return %5 : tensor<?x?xf32>
-}
-
-// CHECK-LABEL: func.func @vectorize_dynamic_transpose_reduction
-// CHECK: %[[VAL_6:.*]] = tensor.dim
-// CHECK: %[[VAL_7:.*]] = tensor.dim
-// CHECK: %[[VAL_8:.*]] = tensor.dim
-// CHECK: %[[VAL_135:.*]] = vector.create_mask %{{.*}}, %{{.*}}, %{{.*}} : vector<4x8x16xi1>
-// CHECK: %[[VAL_139:.*]] = vector.transpose %[[VAL_135]], [1, 2, 0] : vector<4x8x16xi1> to vector<8x16x4xi1>
-
-// Just checking a few instances to make sure the vector mask is properly propagated:
-
-// CHECK: %[[VAL_143:.*]] = vector.extract %[[VAL_139]][0, 0] : vector<4xi1> from vector<8x16x4xi1>
-// CHECK: %[[VAL_144:.*]] = vector.mask %[[VAL_143]] { vector.reduction <add>
-// CHECK: %[[VAL_145:.*]] = vector.insert %[[VAL_144]]
-
-// CHECK: %[[VAL_148:.*]] = vector.extract %[[VAL_139]][0, 1] : vector<4xi1> from vector<8x16x4xi1>
-// CHECK: %[[VAL_149:.*]] = vector.mask %[[VAL_148]] { vector.reduction <add>
-// CHECK: %[[VAL_150:.*]] = vector.insert %[[VAL_149]]
-
-// CHECK: %[[VAL_153:.*]] = vector.extract %[[VAL_139]][0, 2] : vector<4xi1> from vector<8x16x4xi1>
-// CHECK: %[[VAL_154:.*]] = vector.mask %[[VAL_153]] { vector.reduction <add>
-// CHECK: %[[VAL_155:.*]] = vector.insert %[[VAL_154]]
-
-// CHECK: %[[VAL_158:.*]] = vector.extract %[[VAL_139]][0, 3] : vector<4xi1> from vector<8x16x4xi1>
-// CHECK: %[[VAL_159:.*]] = vector.mask %[[VAL_158]] { vector.reduction <add>
-// CHECK: %[[VAL_160:.*]] = vector.insert %[[VAL_159]]
-
-// Patterns applied:
-// * ReduceMultiDimReductionRank from populateVectorMultiReductionFlatteningPatterns
-// * TwoDimMultiReductionToReduction from populateVectorMultiReductionUnrollingPatterns
-func.func private @vector_multi_reduction_non_scalable_dim(%A : vector<8x[4]x2xf32>, %B: vector<8x[4]xf32>) -> vector<8x[4]xf32> {
- %0 = vector.multi_reduction <add>, %A, %B [2] : vector<8x[4]x2xf32> to vector<8x[4]xf32>
- return %0 : vector<8x[4]xf32>
-}
-// CHECK-LABEL: func.func private @vector_multi_reduction_non_scalable_dim(
-// CHECK-SAME: %[[VAL_0:.*]]: vector<8x[4]x2xf32>,
-// CHECK-SAME: %[[VAL_1:.*]]: vector<8x[4]xf32>) -> vector<8x[4]xf32> {
-// CHECK-DAG: %[[VAL_2:.*]] = arith.constant dense<0.000000e+00> : vector<[32]xf32>
-
-// CHECK: %[[VAL_35:.*]] = vector.extract %[[VAL_0]][0, 0] : vector<2xf32> from vector<8x[4]x2xf32>
-// CHECK: %[[VAL_36:.*]] = vector.extract %[[VAL_1]][0, 0] : f32 from vector<8x[4]xf32>
-// CHECK: %[[VAL_37:.*]] = vector.reduction <add>, %[[VAL_35]], %[[VAL_36]] : vector<2xf32> into f32
-// CHECK: %[[VAL_38:.*]] = vector.insert %[[VAL_37]], %[[VAL_2]] [0] : f32 into vector<[32]xf32>
-
-// CHECK: %[[VAL_39:.*]] = vector.extract %[[VAL_0]][0, 1] : vector<2xf32> from vector<8x[4]x2xf32>
-// CHECK: %[[VAL_40:.*]] = vector.extract %[[VAL_1]][0, 1] : f32 from vector<8x[4]xf32>
-// CHECK: %[[VAL_41:.*]] = vector.reduction <add>, %[[VAL_39]], %[[VAL_40]] : vector<2xf32> into f32
-// CHECK: %[[VAL_42:.*]] = vector.insert %[[VAL_41]], %[[VAL_38]] [1] : f32 into vector<[32]xf32>
-
-// (...)
-
-// CHECK: %[[VAL_159:.*]] = vector.extract %[[VAL_0]][7, 3] : vector<2xf32> from vector<8x[4]x2xf32>
-// CHECK: %[[VAL_160:.*]] = vector.extract %[[VAL_1]][7, 3] : f32 from vector<8x[4]xf32>
-// CHECK: %[[VAL_161:.*]] = vector.reduction <add>, %[[VAL_159]], %[[VAL_160]] : vector<2xf32> into f32
-// CHECK: %[[VAL_162:.*]] = vector.insert %[[VAL_161]], %{{.*}} [31] : f32 into vector<[32]xf32>
-
-// CHECK: %[[VAL_163:.*]] = vector.shape_cast %[[VAL_162]] : vector<[32]xf32> to vector<8x[4]xf32>
-// CHECK: return %[[VAL_163]] : vector<8x[4]xf32>
-
-// Check that OneDimMultiReductionToTwoDim handles scalable dim
-// Patterns applied:
-// * OneDimMultiReductionToTwoDim from populateVectorMultiReductionTransformationPatterns
-// * TwoDimMultiReductionToReduction from populateVectorMultiReductionUnrollingPatterns
-func.func @vector_multi_reduction_scalable_dim_1d(%A: vector<[4]xf32>, %B: f32, %C: vector<[4]xi1>) -> f32 {
- %0 = vector.mask %C { vector.multi_reduction <add>, %A, %B [0] : vector<[4]xf32> to f32 } : vector<[4]xi1> -> f32
- return %0 : f32
-}
-
-// CHECK-LABEL: func.func @vector_multi_reduction_scalable_dim_1d(
-// CHECK-SAME: %[[ARG_0:.*]]: vector<[4]xf32>,
-// CHECK-SAME: %[[ARG_1:.*]]: f32,
-// CHECK-SAME: %[[ARG_2:.*]]: vector<[4]xi1>) -> f32 {
-// CHECK: %[[VAL_2:.*]] = vector.mask %[[ARG_2]] { vector.reduction <add>, %[[ARG_0]], %[[ARG_1]] : vector<[4]xf32> into f32 } : vector<[4]xi1> -> f32
-// CHECK: return %[[VAL_2]] : f32
-
-// Patterns applied:
-// * TwoDimMultiReductionToReduction from populateVectorMultiReductionUnrollingPatterns
-func.func @vector_multi_reduction_scalable_dim_2d(%A: vector<2x[4]xf32>, %B: vector<2xf32>, %C: vector<2x[4]xi1>) -> vector<2xf32> {
- %0 = vector.mask %C { vector.multi_reduction <add>, %A, %B [1] : vector<2x[4]xf32> to vector<2xf32> } : vector<2x[4]xi1> -> vector<2xf32>
- return %0 : vector<2xf32>
-}
-
-// CHECK-LABEL: func.func @vector_multi_reduction_scalable_dim_2d(
-// CHECK-SAME: %[[ARG_0:.*]]: vector<2x[4]xf32>,
-// CHECK-SAME: %[[ARG_1:.*]]: vector<2xf32>,
-// CHECK-SAME: %[[ARG_2:.*]]: vector<2x[4]xi1>) -> vector<2xf32> {
-// CHECK-DAG: %[[C0_2xf32:.*]] = arith.constant dense<0.000000e+00> : vector<2xf32>
-// CHECK: %[[ARG0_0:.*]] = vector.extract %[[ARG_0]][0] : vector<[4]xf32> from vector<2x[4]xf32>
-// CHECK: %[[ARG1_0:.*]] = vector.extract %[[ARG_1]][0] : f32 from vector<2xf32>
-// CHECK: %[[ARG2_0:.*]] = vector.extract %[[ARG_2]][0] : vector<[4]xi1> from vector<2x[4]xi1>
-// CHECK: %[[REDUCE_0:.*]] = vector.mask %[[ARG2_0]] { vector.reduction <add>, %[[ARG0_0]], %[[ARG1_0]] : vector<[4]xf32> into f32 } : vector<[4]xi1> -> f32
-// CHECK: %[[INSERT_0:.*]] = vector.insert %[[REDUCE_0]], %[[C0_2xf32]] [0] : f32 into vector<2xf32>
-// CHECK: %[[ARG0_1:.*]] = vector.extract %[[ARG_0]][1] : vector<[4]xf32> from vector<2x[4]xf32>
-// CHECK: %[[ARG1_1:.*]] = vector.extract %[[ARG_1]][1] : f32 from vector<2xf32>
-// CHECK: %[[ARG2_1:.*]] = vector.extract %[[ARG_2]][1] : vector<[4]xi1> from vector<2x[4]xi1>
-// CHECK: %[[REDUCE_1:.*]] = vector.mask %[[ARG2_1]] { vector.reduction <add>, %[[ARG0_1]], %[[ARG1_...
[truncated]
``````````
</details>
https://github.com/llvm/llvm-project/pull/182113
More information about the Mlir-commits
mailing list