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Commit dd52336

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format the code
Signed-off-by: Bangtian Liu <[email protected]>
1 parent 0fb90b1 commit dd52336

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2 files changed

+5
-8
lines changed

2 files changed

+5
-8
lines changed

mlir/lib/Bindings/Python/DialectLinalg.cpp

Lines changed: 1 addition & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -91,8 +91,7 @@ static void populateDialectLinalgSubmodule(nb::module_ m) {
9191
mlirLinalgInferContractionDimensionsFromMaps(indexingMaps.data(),
9292
indexingMaps.size());
9393

94-
// Detect "empty" result. This occurs when the input is invalid
95-
// or when `linalg::inferContractionDims` fails.
94+
// Detect "empty" result from invalid input or failed inference.
9695
if (mlirAttributeIsNull(dims.batch) && mlirAttributeIsNull(dims.m) &&
9796
mlirAttributeIsNull(dims.n) && mlirAttributeIsNull(dims.k)) {
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return std::nullopt;

mlir/lib/CAPI/Dialect/Linalg.cpp

Lines changed: 4 additions & 6 deletions
Original file line numberDiff line numberDiff line change
@@ -63,9 +63,8 @@ mlirLinalgInferContractionDimensions(MlirOperation op) {
6363
const linalg::ContractionDimensions &contractionDims = *maybeDims;
6464
MLIRContext *ctx = linalgOp.getContext();
6565

66-
auto toAttr = [&ctx](const SmallVector<unsigned, 2> &vals) -> MlirAttribute {
67-
return wrap(
68-
DenseI32ArrayAttr::get(ctx, llvm::to_vector_of<int32_t, 2>(vals)));
66+
auto toAttr = [ctx](ArrayRef<unsigned> vals) -> MlirAttribute {
67+
return wrap(DenseI32ArrayAttr::get(ctx, llvm::to_vector_of<int32_t>(vals)));
6968
};
7069

7170
result.batch = toAttr(contractionDims.batch);
@@ -96,9 +95,8 @@ mlirLinalgInferContractionDimensionsFromMaps(const MlirAffineMap *indexingMaps,
9695

9796
MLIRContext *ctx = maps[0].getContext();
9897

99-
auto toAttr = [&ctx](const SmallVector<unsigned, 2> &vals) -> MlirAttribute {
100-
return wrap(
101-
DenseI32ArrayAttr::get(ctx, llvm::to_vector_of<int32_t, 2>(vals)));
98+
auto toAttr = [ctx](ArrayRef<unsigned> vals) -> MlirAttribute {
99+
return wrap(DenseI32ArrayAttr::get(ctx, llvm::to_vector_of<int32_t>(vals)));
102100
};
103101

104102
result.batch = toAttr(maybeDims->batch);

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