[Matrix] Use DenseMap for ShapeMap instead of ValueMap.

ValueMap automatically updates entries with the new value if they have
been RAUW. This can lead to instructions that are expected to not have
shape info to be added to the map (e.g. shufflevector as in the added
test case).

This leads to incorrect results. Originally it was used for transpose
optimizations, but they now all use updateShapeAndReplaceAllUsesWith,
which takes care of updating the shape info as needed.

This fixes a crash in the newly added test case.

Author: fhahn

llvm/lib/Transforms/Scalar/LowerMatrixIntrinsics.cpp

@@ -259,7 +259,7 @@ static bool isUniformShape(Value *V) {
 /// Return the ShapeInfo for the result of \p I, it it can be determined.
 static std::optional<ShapeInfo>
 computeShapeInfoForInst(Instruction *I,
-                        const ValueMap<Value *, ShapeInfo> &ShapeMap) {
+                        const DenseMap<Value *, ShapeInfo> &ShapeMap) {
   Value *M;
   Value *N;
   Value *K;
@@ -493,10 +493,8 @@ class LowerMatrixIntrinsics {
   /// the result value of the instruction, with the only exceptions being store
   /// instructions and the matrix_column_major_store intrinsics. For those, the
   /// shape information indicates that those instructions should be lowered
-  /// using shape information as well.  A ValueMap is used so that when
-  /// sub-passes like optimizeTransposes performs RAUW the map stays
-  /// up-to-date.
-  ValueMap<Value *, ShapeInfo> ShapeMap;
+  /// using shape information as well.
+  DenseMap<Value *, ShapeInfo> ShapeMap;
 
   /// List of instructions to remove. While lowering, we are not replacing all
   /// users of a lowered instruction, if shape information is available and

llvm/test/Transforms/LowerMatrixIntrinsics/dot-product-transpose-int.ll

@@ -190,3 +190,33 @@ declare <1 x i32> @llvm.matrix.multiply.v1i32.v5i32.v5i32(<5 x i32>, <5 x i32>,
 declare <5 x i32> @llvm.matrix.column.major.load.v5i32.i64(ptr nocapture, i64, i1 immarg, i32 immarg, i32 immarg) #1
 
 declare <5 x i32> @llvm.matrix.transpose.v5i32(<5 x i32>, i32 immarg, i32 immarg) #0
+
+define <1 x i32> @test_dot_product_with_transposed_shuffle_op(<4 x i32> %a, <2 x i32> %b) {
+; CHECK-LABEL: @test_dot_product_with_transposed_shuffle_op(
+; CHECK-NEXT:  entry:
+; CHECK-NEXT:    [[SPLIT:%.*]] = shufflevector <4 x i32> [[A:%.*]], <4 x i32> poison, <2 x i32> <i32 0, i32 1>
+; CHECK-NEXT:    [[SPLIT1:%.*]] = shufflevector <4 x i32> [[A]], <4 x i32> poison, <2 x i32> <i32 2, i32 3>
+; CHECK-NEXT:    [[TMP0:%.*]] = extractelement <2 x i32> [[SPLIT]], i64 0
+; CHECK-NEXT:    [[TMP1:%.*]] = insertelement <2 x i32> poison, i32 [[TMP0]], i64 0
+; CHECK-NEXT:    [[TMP2:%.*]] = extractelement <2 x i32> [[SPLIT1]], i64 0
+; CHECK-NEXT:    [[TMP3:%.*]] = insertelement <2 x i32> [[TMP1]], i32 [[TMP2]], i64 1
+; CHECK-NEXT:    [[TMP4:%.*]] = extractelement <2 x i32> [[SPLIT]], i64 1
+; CHECK-NEXT:    [[TMP5:%.*]] = insertelement <2 x i32> poison, i32 [[TMP4]], i64 0
+; CHECK-NEXT:    [[TMP6:%.*]] = extractelement <2 x i32> [[SPLIT1]], i64 1
+; CHECK-NEXT:    [[TMP7:%.*]] = insertelement <2 x i32> [[TMP5]], i32 [[TMP6]], i64 1
+; CHECK-NEXT:    [[TMP8:%.*]] = shufflevector <2 x i32> [[TMP3]], <2 x i32> [[TMP7]], <4 x i32> <i32 0, i32 1, i32 2, i32 3>
+; CHECK-NEXT:    [[SHUFFLE:%.*]] = shufflevector <4 x i32> [[TMP8]], <4 x i32> zeroinitializer, <2 x i32> <i32 0, i32 1>
+; CHECK-NEXT:    [[TMP9:%.*]] = mul <2 x i32> [[SHUFFLE]], [[B:%.*]]
+; CHECK-NEXT:    [[TMP10:%.*]] = call i32 @llvm.vector.reduce.add.v2i32(<2 x i32> [[TMP9]])
+; CHECK-NEXT:    [[TMP11:%.*]] = insertelement <1 x i32> poison, i32 [[TMP10]], i64 0
+; CHECK-NEXT:    ret <1 x i32> [[TMP11]]
+;
+entry:
+  %t.a = tail call <4 x i32> @llvm.matrix.transpose.v4i32(<4 x i32> %a, i32 2, i32 2)
+  %shuffle = shufflevector <4 x i32> %t.a, <4 x i32> zeroinitializer, <2 x i32> <i32 0, i32 1>
+  %t.shuffle = call <2 x i32> @llvm.matrix.transpose.v2i32(<2 x i32> %shuffle, i32 2, i32 1)
+  %m = call <1 x i32> @llvm.matrix.multiply.v1i32.v2i32.v2i32(<2 x i32> %t.shuffle, <2 x i32> %b, i32 1, i32 2, i32 1)
+  ret <1 x i32> %m
+}
+
+declare <2 x i32> @llvm.matrix.transpose.v2i32(<2 x i32>, i32 immarg, i32 immarg)