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[mlir][vector] Add a check to ensure input vector rank equals target shape rank #127706

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Merged
merged 10 commits into from
Feb 26, 2025
Merged

[mlir][vector] Add a check to ensure input vector rank equals target shape rank #127706

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06d4ab2
Add check to ensure input vector rank equals target shape rank
Prakhar-Dixit Feb 18, 2025
b8df120
[vector][mlir] Add required comments and test in vectorUnroll.cpp and…
Prakhar-Dixit Feb 19, 2025
04d4303
Add a negative test and also update the diagnostic test with lesser ops
Prakhar-Dixit Feb 21, 2025
74ec44a
modify test
Prakhar-Dixit Feb 21, 2025
e0860bd
Add a comment for better clarity in the negative test case
Prakhar-Dixit Feb 25, 2025
62961c2
modify test
Prakhar-Dixit Feb 25, 2025
77b4b65
modify test
Prakhar-Dixit Feb 25, 2025
2535f83
Update return method in VectorUnroll.cpp and modify test in vector-un…
Prakhar-Dixit Feb 25, 2025
8bfb3eb
modify test
Prakhar-Dixit Feb 25, 2025
76e358d
Merge branch 'main' into pd/bug-fix
Lewuathe Feb 26, 2025
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6 changes: 6 additions & 0 deletions mlir/lib/Dialect/Vector/Transforms/VectorUnroll.cpp
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Expand Up @@ -437,6 +437,12 @@ struct UnrollElementwisePattern : public RewritePattern {
auto dstVecType = cast<VectorType>(op->getResult(0).getType());
SmallVector<int64_t> originalSize =
*cast<VectorUnrollOpInterface>(op).getShapeForUnroll();
// Bail-out if rank(source) != rank(target). The main limitation here is the
// fact that `ExtractStridedSlice` requires the rank for the input and
// output to match. If needed, we can relax this later.
if (originalSize.size() != targetShape->size())
return rewriter.notifyMatchFailure(
op, "expected input vector rank to match target shape rank");
Location loc = op->getLoc();
// Prepare the result vector.
Value result = rewriter.create<arith::ConstantOp>(
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10 changes: 10 additions & 0 deletions mlir/test/Dialect/Vector/vector-unroll-options.mlir
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Expand Up @@ -188,6 +188,16 @@ func.func @vector_fma(%a: vector<4x4xf32>, %b: vector<4x4xf32>, %c: vector<4x4xf
// CHECK-LABEL: func @vector_fma
// CHECK-COUNT-4: vector.fma %{{.+}}, %{{.+}}, %{{.+}} : vector<2x2xf32>

// TODO: We should be able to unroll this like the example above - this will require extending UnrollElementwisePattern.
func.func @negative_vector_fma_3d(%a: vector<3x2x2xf32>) -> vector<3x2x2xf32>{
%0 = vector.fma %a, %a, %a : vector<3x2x2xf32>
return %0 : vector<3x2x2xf32>
}
// CHECK-LABEL: func @negative_vector_fma_3d
// CHECK-NOT: vector.extract_strided_slice
// CHECK: %[[R0:.*]] = vector.fma %{{.+}} : vector<3x2x2xf32>
// CHECK: return

func.func @vector_multi_reduction(%v : vector<4x6xf32>, %acc: vector<4xf32>) -> vector<4xf32> {
%0 = vector.multi_reduction #vector.kind<add>, %v, %acc [1] : vector<4x6xf32> to vector<4xf32>
return %0 : vector<4xf32>
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