Fix importing variadic output (#152)
* Fix importing variadic output * clang-format
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@ -268,9 +268,13 @@ private:
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if (node.output()[i].empty()) {
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outputTypes.emplace_back(builder_.getNoneType());
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} else {
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if (i < outputMap.size() && outputMap[i] >= MAX_TYPE) {
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auto j = i;
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// Variadic output is a single ODS result.
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if (variadicOut)
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j = 0;
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if (j < outputMap.size() && outputMap[j] >= MAX_TYPE) {
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// Mapping gives a connection with an input.
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mlir::Type inputType = inputs[outputMap[i] - MAX_TYPE].getType();
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mlir::Type inputType = inputs[outputMap[j] - MAX_TYPE].getType();
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if (inputType.isa<mlir::TensorType>()) {
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auto elementType =
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inputType.cast<mlir::TensorType>().getElementType();
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@ -279,9 +283,9 @@ private:
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} else {
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outputTypes.push_back(inputType);
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}
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} else if (i < outputMap.size() && outputMap[i] != -1) {
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} else if (j < outputMap.size() && outputMap[j] != -1) {
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// Mapping gives a direct type.
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auto elementType = buildTypeFromIndex(outputMap[i]);
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auto elementType = buildTypeFromIndex(outputMap[j]);
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auto outType = mlir::UnrankedTensorType::get(elementType);
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outputTypes.emplace_back(outType);
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} else {
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@ -305,11 +309,18 @@ private:
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op.getOperation())) {
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auto outTypes = opWithTypeInference.resultTypeInference();
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for (int i = 0; i < node.output().size(); i++) {
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if (variadicOut)
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(*(op.getODSResults(0).begin() + i)).setType(outTypes[i]);
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else
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(*op.getODSResults(i).begin()).setType(outTypes[i]);
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}
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}
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for (int i = 0; i < node.output().size(); i++) {
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if (variadicOut)
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frontend_symbols_.AddMapping(legalize_name(node.output()[i]),
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*(op.getODSResults(0).begin() + i));
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else
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frontend_symbols_.AddMapping(
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legalize_name(node.output()[i]), *(op.getODSResults(i).begin()));
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}
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