@@ -487,7 +487,7 @@ RankedTensorType ConcatOp::inferResultType(int64_t dim, TypeRange inputTypes) {
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// The concatenation dim must be in the range [0, rank).
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assert (dim >= 0 && dim < concatRank && " Invalid concatenation dim" );
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- SmallVector<int64_t > sizes (( concatRank) );
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+ SmallVector<int64_t > sizes (concatRank);
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for (int64_t i = 0 , e = concatRank; i < e; ++i) {
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if (i == dim)
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continue ;
@@ -537,7 +537,7 @@ LogicalResult ConcatOp::verify() {
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if (dim >= resultRank)
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return emitOpError (" concatenation dim must be less than the tensor rank" );
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- SmallVector<int64_t > sizes (( resultRank) );
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+ SmallVector<int64_t > sizes (resultRank);
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for (int64_t i = 0 , e = resultRank; i < e; ++i) {
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if (i == dim)
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continue ;
@@ -604,7 +604,7 @@ ConcatOp::reifyResultShapes(OpBuilder &builder,
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// Take the sum of the input sizes along the concatenated dim.
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AffineExpr sum = builder.getAffineDimExpr (0 );
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- SmallVector<OpFoldResult> sizes{
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+ SmallVector<OpFoldResult> sizes = {
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builder.create <tensor::DimOp>(init.getLoc (), init, 0 ).getResult ()};
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for (auto [idx, input] : llvm::enumerate (inputs.drop_front ())) {
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sum = sum + builder.getAffineDimExpr (idx + 1 );
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