[Mlir-commits] [mlir] 4c19de9 - [mlir][vector] Disable `vector.matrix_multiply` for scalable vectors (#102573)
llvmlistbot at llvm.org
llvmlistbot at llvm.org
Fri Aug 9 05:48:11 PDT 2024
Author: Andrzej WarzyĆski
Date: 2024-08-09T13:48:08+01:00
New Revision: 4c19de925d96ccade45026f8b060457e16b259b5
URL: https://github.com/llvm/llvm-project/commit/4c19de925d96ccade45026f8b060457e16b259b5
DIFF: https://github.com/llvm/llvm-project/commit/4c19de925d96ccade45026f8b060457e16b259b5.diff
LOG: [mlir][vector] Disable `vector.matrix_multiply` for scalable vectors (#102573)
Disables `vector.matrix_multiply` for scalable vectors. As per the docs:
> This is the counterpart of llvm.matrix.multiply in MLIR
I'm not aware of any use of matrix-multiply intrinsics in the context of
scalable vectors, hence disabling.
Added:
Modified:
mlir/include/mlir/Dialect/Vector/IR/VectorOps.td
mlir/include/mlir/IR/CommonTypeConstraints.td
mlir/test/Dialect/Vector/invalid.mlir
Removed:
################################################################################
diff --git a/mlir/include/mlir/Dialect/Vector/IR/VectorOps.td b/mlir/include/mlir/Dialect/Vector/IR/VectorOps.td
index d0844ad07b34e5..925eb80dbe71ec 100644
--- a/mlir/include/mlir/Dialect/Vector/IR/VectorOps.td
+++ b/mlir/include/mlir/Dialect/Vector/IR/VectorOps.td
@@ -2688,13 +2688,13 @@ def Vector_MatmulOp : Vector_Op<"matrix_multiply", [Pure,
TCresVTEtIsSameAsOpBase<0, 1>>]>,
Arguments<(
// TODO: tighten vector element types that make sense.
- ins VectorOfRankAndType<[1],
+ ins FixedVectorOfRankAndType<[1],
[AnySignlessInteger, AnySignedInteger, Index, AnyFloat]>:$lhs,
- VectorOfRankAndType<[1],
+ FixedVectorOfRankAndType<[1],
[AnySignlessInteger, AnySignedInteger, Index, AnyFloat]>:$rhs,
I32Attr:$lhs_rows, I32Attr:$lhs_columns, I32Attr:$rhs_columns)>,
Results<(
- outs VectorOfRankAndType<[1],
+ outs FixedVectorOfRankAndType<[1],
[AnySignlessInteger, AnySignedInteger, Index, AnyFloat]>:$res)>
{
let summary = "Vector matrix multiplication op that operates on flattened 1-D"
@@ -2712,7 +2712,9 @@ def Vector_MatmulOp : Vector_Op<"matrix_multiply", [Pure,
<rhs_columns> and multiplies them. The result matrix is returned embedded in
the result vector.
- Also see:
+ Note, the corresponding LLVM intrinsic, `@llvm.matrix.multiply.*`, does not
+ support scalable vectors. Hence, this Op is only available for fixed-width
+ vectors. Also see:
http://llvm.org/docs/LangRef.html#llvm-matrix-multiply-intrinsic
diff --git a/mlir/include/mlir/IR/CommonTypeConstraints.td b/mlir/include/mlir/IR/CommonTypeConstraints.td
index 5b6ec167fa2420..2493f212a356a4 100644
--- a/mlir/include/mlir/IR/CommonTypeConstraints.td
+++ b/mlir/include/mlir/IR/CommonTypeConstraints.td
@@ -494,6 +494,14 @@ class VectorOfRankAndType<list<int> allowedRanks,
VectorOf<allowedTypes>.summary # VectorOfRank<allowedRanks>.summary,
"::mlir::VectorType">;
+// Fixed-width vector where the rank is from the given `allowedRanks` list and
+// the type is from the given `allowedTypes` list
+class FixedVectorOfRankAndType<list<int> allowedRanks,
+ list<Type> allowedTypes> : AllOfType<
+ [FixedVectorOf<allowedTypes>, VectorOfRank<allowedRanks>],
+ FixedVectorOf<allowedTypes>.summary # VectorOfRank<allowedRanks>.summary,
+ "::mlir::VectorType">;
+
// Whether the number of elements of a vector is from the given
// `allowedLengths` list
class IsVectorOfLengthPred<list<int> allowedLengths> :
@@ -592,7 +600,7 @@ class VectorOfLengthAndType<list<int> allowedLengths,
// Any fixed-length vector where the number of elements is from the given
// `allowedLengths` list and the type is from the given `allowedTypes` list
class FixedVectorOfLengthAndType<list<int> allowedLengths,
- list<Type> allowedTypes> : AllOfType<
+ list<Type> allowedTypes> : AllOfType<
[FixedVectorOf<allowedTypes>, FixedVectorOfLength<allowedLengths>],
FixedVectorOf<allowedTypes>.summary #
FixedVectorOfLength<allowedLengths>.summary,
diff --git a/mlir/test/Dialect/Vector/invalid.mlir b/mlir/test/Dialect/Vector/invalid.mlir
index ba1efe8b3c2d38..c95b8bd5ed6147 100644
--- a/mlir/test/Dialect/Vector/invalid.mlir
+++ b/mlir/test/Dialect/Vector/invalid.mlir
@@ -1862,3 +1862,16 @@ func.func @invalid_step_2d() {
vector.step : vector<2x4xf32>
return
}
+
+// -----
+
+func.func @matrix_multiply_scalable(%a: vector<[4]xf64>, %b: vector<4xf64>) {
+ // expected-error @+1 {{'vector.matrix_multiply' op operand #0 must be fixed-length vector of signless integer or signed integer or index or floating-point values of ranks 1, but got 'vector<[4]xf64>'}}
+ %c = vector.matrix_multiply %a, %b {
+ lhs_rows = 2: i32,
+ lhs_columns = 2: i32 ,
+ rhs_columns = 2: i32 }
+ : (vector<[4]xf64>, vector<4xf64>) -> vector<4xf64>
+
+ return
+}
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