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[mlir][vector] Use notifyMatchFailure instead of assert in VectorLinearize #93590

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35 changes: 22 additions & 13 deletions mlir/lib/Dialect/Vector/Transforms/VectorLinearize.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -151,10 +151,12 @@ struct LinearizeVectorExtractStridedSlice final
LogicalResult
matchAndRewrite(vector::ExtractStridedSliceOp extractOp, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const override {
Type dstType = getTypeConverter()->convertType(extractOp.getType());
assert(!(extractOp.getVector().getType().isScalable() ||
cast<VectorType>(dstType).isScalable()) &&
"scalable vectors are not supported.");
VectorType dstType =
getTypeConverter()->convertType<VectorType>(extractOp.getType());
assert(dstType && "vector type destination expected.");
if (extractOp.getVector().getType().isScalable() || dstType.isScalable())
return rewriter.notifyMatchFailure(extractOp,
"scalable vectors are not supported.");
if (!isLessThanTargetBitWidth(extractOp, targetVectorBitWidth))
return rewriter.notifyMatchFailure(
extractOp, "Can't flatten since targetBitWidth <= OpSize");
Expand Down Expand Up @@ -264,10 +266,14 @@ struct LinearizeVectorShuffle final
LogicalResult
matchAndRewrite(vector::ShuffleOp shuffleOp, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const override {
Type dstType = getTypeConverter()->convertType(shuffleOp.getType());
VectorType dstType =
getTypeConverter()->convertType<VectorType>(shuffleOp.getType());
assert(dstType && "vector type destination expected.");
// The assert is used because vector.shuffle does not support scalable
// vectors.
assert(!(shuffleOp.getV1VectorType().isScalable() ||
shuffleOp.getV2VectorType().isScalable() ||
cast<VectorType>(dstType).isScalable()) &&
dstType.isScalable()) &&
"scalable vectors are not supported.");
if (!isLessThanTargetBitWidth(shuffleOp, targetVectorBitWidth))
return rewriter.notifyMatchFailure(
Expand Down Expand Up @@ -336,9 +342,10 @@ struct LinearizeVectorExtract final
matchAndRewrite(vector::ExtractOp extractOp, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const override {
Type dstTy = getTypeConverter()->convertType(extractOp.getType());
assert(!(extractOp.getVector().getType().isScalable() ||
cast<VectorType>(dstTy).isScalable()) &&
"scalable vectors are not supported.");
if (extractOp.getVector().getType().isScalable() ||
cast<VectorType>(dstTy).isScalable())
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Actually the dstTy here is not always a vector type. It could be a scalar type too.
e.g., vector.extract %1 [0, 0]: f32 from vector<1024x1024xf32>. So, cast(dstTy) may cause the crash.

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Would you say the following is better?

if ( (auto vecDstTy = cast<VectorType>(dstTy) && vecDstTy.isScalable()) || extractOp.getVector().getType().isScalable() )

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So, cast(dstTy) may cause the crash.

Good point, but let's stick to one change per PR 😅 My recommendation:

  1. identify a test case that would indeed crash,
  2. fix the crash and use the test from 1. for a follow-up PR.

WDYT?

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What's the update here?

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@akroviakov akroviakov Jun 13, 2024

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The test case is there:

%0 = vector.extract %arg0[1,1,1]: f32 from vector<2x8x2xf32>

but fixing it can get a bit tricky because right now there are a lot of vector result assumptions (e.g., isLessThanTargetBitWidth(), populateVectorLinearizeShuffleLikeOpsPatterns()), so yes, it should be another PR.
Any suggestions to make the fix least invasive are welcomed.

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Any suggestions to make the fix least invasive are welcomed.

You should disable this pattern when the rank of the output is <= 1.

return rewriter.notifyMatchFailure(extractOp,
"scalable vectors are not supported.");
if (!isLessThanTargetBitWidth(extractOp, targetVectorBitWidth))
return rewriter.notifyMatchFailure(
extractOp, "Can't flatten since targetBitWidth <= OpSize");
Expand Down Expand Up @@ -394,10 +401,12 @@ struct LinearizeVectorInsert final
LogicalResult
matchAndRewrite(vector::InsertOp insertOp, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const override {
Type dstTy = getTypeConverter()->convertType(insertOp.getDestVectorType());
assert(!(insertOp.getDestVectorType().isScalable() ||
cast<VectorType>(dstTy).isScalable()) &&
"scalable vectors are not supported.");
VectorType dstTy = getTypeConverter()->convertType<VectorType>(
insertOp.getDestVectorType());
assert(dstTy && "vector type destination expected.");
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Same comments as above regarding to assert.

if (insertOp.getDestVectorType().isScalable() || dstTy.isScalable())
return rewriter.notifyMatchFailure(insertOp,
"scalable vectors are not supported.");

if (!isLessThanOrEqualTargetBitWidth(insertOp.getSourceType(),
targetVectorBitWidth))
Expand Down
32 changes: 32 additions & 0 deletions mlir/test/Dialect/Vector/linearize.mlir
Original file line number Diff line number Diff line change
Expand Up @@ -177,6 +177,17 @@ func.func @test_extract_strided_slice_1(%arg0 : vector<4x8xf32>) -> vector<2x2xf
return %0 : vector<2x2xf32>
}

// ALL-LABEL: func.func @test_extract_strided_slice_1_scalable(
// ALL-SAME: %[[VAL_0:.*]]: vector<4x[8]xf32>) -> vector<2x[8]xf32> {
func.func @test_extract_strided_slice_1_scalable(%arg0: vector<4x[8]xf32>) -> vector<2x[8]xf32> {
// ALL-NOT: vector.shuffle
// ALL-NOT: vector.shape_cast
// ALL: %[[RES:.*]] = vector.extract_strided_slice %[[VAL_0]] {offsets = [1, 0], sizes = [2, 8], strides = [1, 1]} : vector<4x[8]xf32> to vector<2x[8]xf32>
%0 = vector.extract_strided_slice %arg0 { sizes = [2, 8], strides = [1, 1], offsets = [1, 0] } : vector<4x[8]xf32> to vector<2x[8]xf32>
// ALL: return %[[RES]] : vector<2x[8]xf32>
return %0 : vector<2x[8]xf32>
}

// -----
// ALL-LABEL: test_extract_strided_slice_2
// ALL-SAME: (%[[ORIG_ARG:.*]]: vector<2x8x2xf32>) -> vector<1x4x2xf32> {
Expand Down Expand Up @@ -246,6 +257,16 @@ func.func @test_vector_extract(%arg0: vector<2x8x2xf32>) -> vector<8x2xf32> {
return %0 : vector<8x2xf32>
}

// ALL-LABEL: func.func @test_vector_extract_scalable(
// ALL-SAME: %[[VAL_0:.*]]: vector<2x8x[2]xf32>) -> vector<8x[2]xf32> {
func.func @test_vector_extract_scalable(%arg0: vector<2x8x[2]xf32>) -> vector<8x[2]xf32> {
// ALL-NOT: vector.shuffle
// ALL-NOT: vector.shape_cast
// ALL: %[[RES:.*]] = vector.extract %[[VAL_0]][1] : vector<8x[2]xf32> from vector<2x8x[2]xf32>
%0 = vector.extract %arg0[1]: vector<8x[2]xf32> from vector<2x8x[2]xf32>
// ALL: return %[[RES]] : vector<8x[2]xf32>
return %0 : vector<8x[2]xf32>
}
// -----
// ALL-LABEL: test_vector_insert
// ALL-SAME: (%[[DEST:.*]]: vector<2x8x4xf32>, %[[SRC:.*]]: vector<8x4xf32>) -> vector<2x8x4xf32> {
Expand Down Expand Up @@ -274,3 +295,14 @@ func.func @test_vector_insert(%arg0: vector<2x8x4xf32>, %arg1: vector<8x4xf32>)
%0 = vector.insert %arg1, %arg0[0]: vector<8x4xf32> into vector<2x8x4xf32>
return %0 : vector<2x8x4xf32>
}

// ALL-LABEL: func.func @test_vector_insert_scalable(
// ALL-SAME: %[[VAL_0:.*]]: vector<2x8x[4]xf32>, %[[VAL_1:.*]]: vector<8x[4]xf32>) -> vector<2x8x[4]xf32> {
func.func @test_vector_insert_scalable(%arg0: vector<2x8x[4]xf32>, %arg1: vector<8x[4]xf32>) -> vector<2x8x[4]xf32> {
// ALL-NOT: vector.shuffle
// ALL-NOT: vector.shape_cast
// ALL: %[[RES:.*]] = vector.insert %[[VAL_1]], %[[VAL_0]] [0] : vector<8x[4]xf32> into vector<2x8x[4]xf32>
%0 = vector.insert %arg1, %arg0[0]: vector<8x[4]xf32> into vector<2x8x[4]xf32>
// ALL: return %[[RES]] : vector<2x8x[4]xf32>
return %0 : vector<2x8x[4]xf32>
}
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