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4 changes: 2 additions & 2 deletions mlir/lib/TableGen/Operator.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -503,8 +503,8 @@ void Operator::populateTypeInferenceInfo(
for (int otherResultIndex : resultIndices) {
if (resultIndex == otherResultIndex)
continue;
inference[resultIndex].sources.emplace_back(otherResultIndex,
"$_self");
inference[resultIndex].sources.emplace_back(
InferredResultType::unmapResultIndex(otherResultIndex), "$_self");
}
}
}
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21 changes: 21 additions & 0 deletions mlir/test/mlir-tblgen/op-result.td
Original file line number Diff line number Diff line change
Expand Up @@ -180,6 +180,27 @@ def OpL4 : NS_Op<"two_inference_edges", [
// CHECK: inferredReturnTypes[1] = odsInferredType1
// CHECK: inferredReturnTypes[2] = odsInferredType2

def OpL5 : NS_Op<"op_with_same_but_unconstraint_results",
[AllTypesMatch<["result_a", "result_b"]>]> {
let results = (outs AnyType:$result_a, AnyType:$result_b);
}

// CHECK-NOT: LogicalResult OpL5::inferReturnTypes

def OpL6 : NS_Op<"op_with_same_and_constraint_results",
[AllTypesMatch<["result_a", "result_b", "result_c"]>]> {
let results = (outs AnyType:$result_a, AnyType:$result_b, I32:$result_c);
}

// CHECK-LABEL: LogicalResult OpL6::inferReturnTypes
// CHECK-NOT: }
// CHECK: odsInferredType0 = odsBuilder.getIntegerType(32);
// CHECK: odsInferredType1 = odsBuilder.getIntegerType(32);
// CHECK: odsInferredType2 = odsBuilder.getIntegerType(32);
// CHECK: inferredReturnTypes[0] = odsInferredType0;
// CHECK: inferredReturnTypes[1] = odsInferredType1;
// CHECK: inferredReturnTypes[2] = odsInferredType2;

def OpM : NS_Op<"mix_diff_size_variadic_and_normal_results_op", [AttrSizedResultSegments]> {
let results = (outs Variadic<AnyTensor>:$output1, AnyTensor:$output2, Optional<AnyTensor>:$output3);
}
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